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Archive for the ‘Gene Regulation’ Category

Engineered viruses

Larry H. Bernstein, MD, FCAP, Curator

LPBI

Engineered viruses provide quantum-based enhancement of energy transport

October 19, 2015

http://www.kurzweilai.net/engineered-viruses-provide-quantum-based-enhancement-of-energy-transport?utm_source=KurzweilAI+Weekly+Newsletter_147a5a48c1-9a20162408-282099089

Rendering of a virus used in the MIT experiments. The light-collecting centers, called chromophores, are in red, and chromophores that just absorbed a photon of light are glowing white. After the virus is modified to adjust the spacing between the chromophores, energy can jump from one set of chromophores to the next faster and more efficiently. (credit: the researchers and Lauren Alexa Kaye)

http://www.kurzweilai.net/images/Super-Forster.jpg

MIT engineers have achieved a significant efficiency boost in a light-harvesting system, using genetically engineered viruses to achieve higher efficiency in transporting energy from receptors to reaction centers where it can be harnessed, making use of the exotic effects of quantum mechanics. Emulating photosynthesis in nature, it could lead to inexpensive and efficient solar cells or light-driven catalysis,

This achievement in coupling quantum research and genetic manipulation, described this week in the journal Nature Materials, was the work of MIT professors Angela Belcher, an expert on engineering viruses to carry out energy-related tasks, and Seth Lloyd, an expert on quantum theory and its potential applications, and 15 collaborators at MIT and in Italy.

The “Quantum Goldilocks Effect”

In photosynthesis, a photon hits a receptor called a chromophore, which in turn produces an exciton — a quantum particle of energy. This exciton jumps from one chromophore to another until it reaches a reaction center, where that energy is harnessed to build the molecules that support life, or photosynthesis.

But the hopping pathway of excitons is random and inefficient unless it takes advantage of quantum effects that allow it, in effect, to take multiple pathways at once and select the best ones, behaving more like a wave than a particle.

To do that, the chromophores have to be arranged just right, with exactly the right amount of space between them. This, Lloyd explains, is known as the “Quantum Goldilocks Effect.”

Molecular models of the genetically engineered viruses. Left virus has long inter-binding site distances of 16Å and 33Å within two proteins. Right virus has closer inter-binding site distances of approximately 10Å and 13Å, achieving faster excitation-energy transport speed. (credit: Heechul Park et al./Nature Materials)

http://www.kurzweilai.net/images/exiton-hopping.jpg

That’s where the virus comes in. By engineering a virus that Belcher has worked with for years, the team was able to get it to bond with multiple synthetic chromophores — or, in this case, organic dyes. The researchers were then able to produce many varieties of the virus, with slightly different spacings between those synthetic chromophores, and select the ones that performed best.

In the end, they were able to more than double excitons’ speed, increasing the distance they traveled before dissipating — a significant improvement in the efficiency of the process.

The project started from a chance meeting at a conference in Italy. Lloyd and Belcher, a professor of biological engineering, were reporting on different projects they had worked on, and began discussing the possibility of a project encompassing their very different expertise. Lloyd, whose work is mostly theoretical, pointed out that the viruses Belcher works with have the right length scales to potentially support quantum effects.

In 2008, Lloyd had published a paper demonstrating that photosynthetic organisms transmit light energy efficiently because of these quantum effects. When he saw Belcher’s report on her work with engineered viruses, he wondered if that might provide a way to artificially induce a similar effect, in an effort to approach nature’s efficiency.

“I had been talking about potential systems you could use to demonstrate this effect, and Angela said, ‘We’re already making those,’” Lloyd recalls. Eventually, after much analysis, “We came up with design principles to redesign how the virus is capturing light, and get it to this quantum regime.”

Within two weeks, Belcher’s team had created their first test version of the engineered virus. Many months of work then went into perfecting the receptors and the spacings.

Once the team engineered the viruses, they were able to use laser spectroscopy and dynamical modeling to watch the light-harvesting process in action, and to demonstrate that the new viruses were indeed making use of quantum coherence to enhance the transport of excitons.

“It was really fun,” Belcher says. “A group of us who spoke different [scientific] languages worked closely together, to both make this class of organisms, and analyze the data. That’s why I’m so excited by this.”

Inexpensive and efficient solar cells or light-driven catalysis

While this initial result is essentially a proof of concept rather than a practical system, it points the way toward an approach that could lead to inexpensive and efficient solar cells or light-driven catalysis, the team says. So far, the engineered viruses collect and transport energy from incoming light, but do not yet harness it to produce power (as in solar cells) or molecules (as in photosynthesis). But this could be done by adding a reaction center, where such processing takes place, to the end of the virus where the excitons end up.

“This is exciting and high-quality research,” says Alán Aspuru-Guzik, a professor of chemistry and chemical biology atHarvard University who was not involved in this work. The research, he says, “combines the work of a leader in theory (Lloyd) and a leader in experiment (Belcher) in a truly multidisciplinary and exciting combination that spans biology to physics to potentially, future technology.”

“Access to controllable excitonic systems is a goal shared by many researchers in the field,” Aspuru-Guzik adds. “This work provides fundamental understanding that can allow for the development of devices with an increased control of exciton flow.”

The research was supported by the Italian energy company Eni through the MIT Energy Initiative. The team included researchers at the University of Florence, the University of Perugia, and Eni.

https://youtu.be/91vhoxR1Lts

MIT | See how researchers genetically engineer viruses to more efficiently transport energy.

Abstract of Enhanced energy transport in genetically engineered excitonic networks

One of the challenges for achieving efficient exciton transport in solar energy conversion systems is precise structural control of the light-harvesting building blocks. Here, we create a tunable material consisting of a connected chromophore network on an ordered biological virus template. Using genetic engineering, we establish a link between the inter-chromophoric distances and emerging transport properties. The combination of spectroscopy measurements and dynamic modelling enables us to elucidate quantum coherent and classical incoherent energy transport at room temperature. Through genetic modifications, we obtain a significant enhancement of exciton diffusion length of about 68% in an intermediate quantum-classical regime.

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Insight into lncRNAs

Larry H Bernstein, MD, FCAP, Curator

LPBI

 

Profiling Non-Protein-Coding RNAs

http://www.technologynetworks.com/Genomics/news.aspx?ID=184132

 

Growing insights about a significant, yet poorly understood, part of the genome – the “dark matter of DNA” — have fundamentally changed the way scientists approach the study of diseases.

The human genome contains about 20,000 protein-coding genes – less than 2 percent of the total – but 70 percent of the genome is made into non-coding RNA. Nevertheless, a systematic characterization of these segments, called long non-coding RNAs (lncRNAs), and their alterations in human cancer, is still lacking. Most studies of genomic alterations in cancer have focused on the miniscule portion of the human genome that encodes protein.

An international team, led by researchers at the Perelman School of Medicine at the University of Pennsylvania, has now changed all of that and published their findings this week. A team led by Lin Zhang, MD, the Harry Fields Associate Professor of Obstetrics and Gynecology, and Chi V. Dang, MD, PhD, director of the Abramson Cancer Center, has mined these RNA sequences more fully to identify non-protein-coding segments whose expression is linked to 13 different types of cancer. Zhang first took this approach in 2014 to identify targets for ovarian cancer. Both of these studies are supported by the Basser Center for BRCA at Penn.

“With non-coding RNA sequences constituting almost three quarters of the human genome, there is a great need to characterize genomic, epigenetic, and other alterations of long non-coding segments,” Zhang said. “The present study fills this significant gap in cancer research.”

The team analyzed lncRNAs at transcriptional, genomic, and epigenetic levels in over 5,000 tumor specimens across the different cancer types obtained from The Cancer Genome Atlas (TCGA) and in 935 cancer cell lines from the Cancer Cell Line Encyclopedia (CCLE). They found that lncRNA alterations are highly tumor- and cell line-specific compared to protein-coding genes. In addition, lncRNA alterations are often associated with changes in epigenetic modifiers that act directly on gene expression.

“We believe that the results from this multidimensional analysis provide a rich resource for researchers to investigate the dysregulation of lncRNAs and to identify lncRNAs with diagnostic and therapeutic potential,” Zhang said.

The team also developed two bioinformatics-based platforms to identify cancer-associated lncRNAs and explore their biological functions. One is a searchable database that incorporates clinical information with lncRNA molecular alterations to generate “short lists” of candidate lncRNAs to study. “The molecular profiling data we used for this are linked to clinical and drug response annotations in the TCGA because of its high-quality, multiple-level profiles of human primary tumor specimens and detailed clinical notes for a broad selection of human cancer specimens, along with the CCLE, the best available resource for molecular profiles of cancer cell lines and details about their responses to drugs,” Zhang explained.

The second approach they developed – predicting the biological function of lncRNAs –successfully identified a novel oncogenic lncRNA called BCAL8. They found that BCAL8, when overexpressed, works to promote the cell cycle, which controls cell division. This part of the study provided not only a proof of concept for their lncRNA search strategy, but also a customizable database for other investigators to look for lncRNAs of interest and investigate their function. This database is called the Cancer LncRNome Atlasand is administered by the Abramson Cancer Center at Penn.

 

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Glioma, Glioblastoma and Neurooncology

Curator: Larry H. Bernstein, MD, FCAP

 

Introduction

A Korean and American team profiles gene expression patterns in glioblastoma tumors in a PLOS One paper. The researchers scrutinized gene expression patterns in 43 tumor samples obtained from 28 individuals with glioblastoma — a set that included more than a dozen paired primary and recurrent tumors. They saw two transcriptional clusters in the glioblastoma tumors: a G1 sub-type containing tumors with marked expression of proliferation-related genes and a G2 sub-type with gene expression patterns resembling those in neurons. And by folding in information on expression characteristics of the recurrent tumors, the group gained clues to the types of drug resistance typically displayed by each sub-type.

Recurrent Glioblastomas Reveal Molecular Subtypes Associated with Mechanistic Implications of Drug-Resistance

So Mee Kwon, Shin-Hyuk Kang, Chul-Kee Park, Shin Jung, Eun Sung Park, Ju Seog Lee, Se-Hyuk Kim, Hyun Goo Woo
PLoS ONE  2015; 10(10):e0140528   http://dx.doi.org:/10.1371/journal.pone.0140528

Previously, transcriptomic profiling studies have shown distinct molecular subtypes of glioblastomas. It has also been suggested that the recurrence of glioblastomas could be achieved by transcriptomic reprograming of tumors, however, their characteristics are not yet fully understood. Here,to gain the mechanistic insights on the molecular phenotypes of recurrent glioblastomas, gene expression profiling was performed on the 43 cases of glioblastomas including 15 paired primary and recurrent cases. Unsupervised clustering analyses revealed two subtypesof G1 and G2, which were characterized by proliferation and neuron-like gene expression traits, respectively. While the primary tumors were classified as G1 subtype, the recurrent glioblastomas showed two distinct expression types. Compared to paired primary tumors, the recurrent tumors in G1 subtype did not show expression alteration. By contrast, the recurrent tumors in G2 subtype showed expression changes from proliferation type to neuron-like one. We also observed the expression of stemness related genes in G1 recurrent tumors and the altered expression of DNA-repair genes(i.e., AURK, HOX, MGMT, and MSH6) in the G2 recurrent tumors, which might be responsible for the acquisition of drug resistance mechanism during tumor recurrence in a subtype-specific manner. We suggest that recurrent glioblastomas may choose two different strategies for transcriptome reprogramming to escape the chemotherapeutic treatment during tumor recurrence. Our results might be helpful to determine personalized therapeutic strategy against heterogeneous glioma recurrence.

Glioblastoma is the most aggressive and frequent primary brain tumor with dismal prognosis [1,2].The incurable outcomeofthe glioblastoma is largely due to high recurrence rate even after total resection of glioblastoma mass [2,3]. Also, highly infiltrative characteristics of the glioblastoma make it impossible to dissect tumor tissues completely and the majority of glioblastomas are destined to recur less than 6 months after surgical resection [4,5].Therefore, new diagnostic and therapeutic strategies for tumor recurrence might be required to improve clinical outcomes of patients. Previously, numerous genomic profiling studies have addressed the marked heterogeneity of glioblastomas [6–9]. Particularly, The Cancer Genome Atlas(TCGA) project recognized four distinct molecular subtypes of proneural, neural, classical, and mesenchymal, which are different inresponseto aggressive therapies [10,11]. In addition, an earlier study has shown that about one third (8 out of 26) of the recurrent glioblastomas shifted their subtypes toward mesenchymal subtype [12]. However,there is a conflicting observation that the molecular subtypes are not altered by recurrence [11],remaining the mechanisms for tumor recurrence still unveiled. With this concern, in the present study, we re-evaluated the alteration of the molecular phenotypes of recurrent glioblastomas bycomparing geneexpression profiles ofpairedprimary and recurrent glioblastomas. We could identify two different modes of transcriptome reprogramming during recurrence of glioblastomas, and which implied subtype-specific mechanisms for the acquisition of drug-resistance by tumor recurrence.Our analysis may provide new mechanistic and clinical insights on the recurrent glioblastoma management.

 Gene ExpressionProfiling Total RNA was extracted from frozen tumor section (10 to 15 mg: mirVanaTM miRNA isolation Kit, Ambion, AM1560) based on the manufacturer’s guideline. The quantification of RNA was performed using the Nanodrop ND-1000 spectrophotometer (Thermo-Fisher) and the quality of total RNA was evaluated using the RNA 6000 nano kit (Agilent Technologies, 5067–1513) and the Agilent 2100 Bioanalyzer (Agilent Technologies). Cut off value of the integrity of RNAs used in RNA amplification is over 7.0 in the RIN level. For microarray experiments, five hundred (500) ng of total RNA per sample was used for complement RNA (cRNA) production by the Illumina TotalPrep RNA amplification kit (Ambion, IL1791) according to the provided protocol. A total of 750 ng cRNA was used for hybridization toa human HT12-v4 Illumina Beadchip gene expression array (Illumina) according to the manufacturer’s protocol. The arrays were scanned and fluorescence signals obtained using Illumina bead Array Reader confocal scanner, and obtained the intensity datawith Genome Studio software. Raw data were normalized by applying log 2 transformation, quantile normalization, and gene and array centering. All of the data processing was performed using the R/Bioconductorpackages. For validation analysis, two independent gene expression data of REMBRANDT [14] and TCGA[11] were obtained fromtheir websites, respectively. To integrate different dataset, preprocessing ofeach data setwas applied including log2 transformation, quantile normalization, and gene and array centering.

Classification of subtypes For subtype prediction, three independent methods of unsupervised hierarchical clustering, consensus clustering[15], and nearest template prediction (NTP) [16] were applied. For consensus clustering, hierarchical clustering with the distance metric by Pearson(1—Pearson correlation) was used. For K ranging from 2 to 6, hierarchical clustering was run over 10,000 iterations with a sub-sampling ratio of 0.8 for estimating the consensus matrix. For the purpose of visualization and cluster identification, hierarchical clustering with the Pearson (1— Pearson correlate) distance metric and the average linkage option was applied to the estimated consensus matrix. NTP analysis was performed using Gene Pattern software (http:// www.genepattern.org). The classifiers for the four class subtypes in TCGA dataset [11] were applied and annotated with the numeric code representing the unique subtype that each gene represents (1, 2, 3, 4, 5 for proneural, neural, classical, mesenchymal, and unclassified subtypes) with statistical significance of Bonferroni p value < 0.05 with 1,000 resampling bootstrap test.

Gene expression profiling reveals two subtypes of recurrent glioblastoma. A total of 28 glioblastoma patients were enrolled for this study. The patients were treated with temozolomide (TMZ) after surgical resection. Overall, the progression free survival time (PFS) of the patients was ranged from 5 to 62.4 months, and the median PFS and median overall survival time were 10.75 and 20.50 months, respectively. Detailed clinical information of the patients were summarized inTable 1. To characterize the gene expression patterns of the primary and recurrent glioblastomas, we performed gene expression profiling of the 43 tumor tissues which included the 15 cases of paired primary and recurrent glioblastomas and 13 unpaired tumor tissues. First, to demonstrate the overall gene expression patterns, unsupervised clustering analysis was performed using most variable 4,650 genes with standard deviation(S.D.) greater than 0.5.This revealed two distinct clusters of G1(n=32) and G2(n=11) subtypes (Fig 1A, top). The consistency of the cluster was validated by applying consensus clustering algorithm implemented in Gene pattern software, which could confirm the robustness of the two clusters showing the same two clusters (Fig 1B).

Fig1. Gene expression profiling of primary and recurrent glioblastomas. (A)Unsupervised clustering analysis showed two distinct clusters of G1 and G2 tumors(top). The primary and recurrent glioblastomas were marked with dark blue and dark orange color, respectively (bottom). The 15 paired primary and recurrent glioblastomas were marked based on the defined two clusters, G1 and G2. (B )Heatmap shows the consistency of the consensus clustering analysis with k=2.  http://dx.doi.org:/10.1371/journal.pone.0140528.g001

When we examined the distribution of primary and recurrent glioblastomas from the cluster result, most of the primary glioblastomas were classified into the G1 cluster. However, the recurrent glioblastomas were found in both G1 (n=10) and G2 (n=8) clusters. Recurrent glioblastomas were more frequent in G2 cluster with statistical significance (P =0.031,odd ratio =5.60, Fisher’s exact test), implying the enriched expression of recurrence-related genes in the G2 tumors. To address the functional characteristics of the clusters, we identified differentially expressed genes between G1 and G2 tumors as subtype classifiers (i.e.,94 up-regulated and 318 down-regulated genes, respectively) byapplying permutationt-test (P < 0.001) and fold differences greater than two (S1 Table).The gnes expressed in the G1 cluster were significantly enriched with cell cycle-related gene functions such as M phase, chromosome segregation, cell cycle regulation, and DNA metabolic process, while the genes expressed in the G2 cluster were enriched with neuron development-related genes such as neuron projection morphogenesis, regulation of cell projection organization, ion homeostasis(Fig 2). Comparing to the previous TCGA subtypes [10,11],  this result suggests that theG1 tumors are similar to proliferation type and the G2 tumors are similar to neuronal type, respectively. The expressionof neuronal differentiation-related genes might be a key feature of the transcriptomic switch from primary G1 tumors to the paired recurrent G2 tumors. Next,we compared the gene expression changes between the 15 paired primary and recurrent glioblastomas. Remarkably, we found two distinct behaviors of gene expressions in the recurrent glioblastomas compared to those in the paired primary tumors (Fig 1A, bottom). A totalof 7 outof 15 recurrent glioblastomas showed the cluster migration from G1 to G2 subtype. The other 6 recurrent tumors resided in the same cluster with the paired primary tumors. Exceptionally, only one case of recurrent tumor showed opposite migration from G2 to G1 cluster, and one caseof G2 recurrent tumor did not migrate to other cluster. These results suggest that the recurrent glioblastomas might have at least two distinct patterns of molecular changes after being recurred. The G1 type recurrent tumors (G1R,  n=6) showed no subtype migration, while the G2 type recurrent tumors (G2R, n =7) showed subtype migration from G1 to G2 subtype (see S2 Table).

Table 1.  http://dx.doi.org:/10.1371/journal.pone.0140528.t001

Validation of the subtype classifiers of glioblastoma using independent datasets

Fig 2. Functional characteristics of G1 and G1 subtypes. (A-B) The enriched GO terms of the subtype classifiers are indicated. The significance of the enrichment is plotted as value of—log10 (p-value). (C-D) Unsupervised hierarchical clustering analysis showed the conserved expression patterns of the classifiers in independent dataset, REMBRANDT (C) and TCGA (D). (E) Gene expression similarity with the four subtypes of TCGA are evaluated by applying three different methods of consensus clustering, unsupervised clustering, and nearest template prediction(NTP) as described in the Materials and Methods. The primary and recurrent tumors are indicated with different colors. The predicted four classes of proneuronal, mesenchymal, classical, neural type are indicated. Unclassified tumors are indicated as rest.  http://dx.doi.org:/10.1371/journal.pone.0140528.g002

As shown above, the G1 and G2 classification is clearly associated with the expression migration during tumor recurrence. To further validate the robustness and the significance of our classification, we examined the expression pattern ofour subtype classifiers in the independent two datasets of REMBRANT [14] and TCGA [10]. We could observe that the expressions of the subtype classifiers were well conserved in both data sets stratifying G1-like and G2-like subtypes, respectively (Fig 2C and 2D). This result indicated that our subtype classifiers were well conserved independent of patient cohorts and/or data platforms, and might be useful in predicting the subtypes of tumor recurrence. However, when we evaluated the clinical outcomes of the G1-like and G2-like subtypes by Kaplan-Meir plot analysis, there was no significant difference of overall survival between the groups (S1 Fig). This may indicate that our classification does not represent a prognostic sub-classification, but a classification for different mode of mechanistic pathways for tumor recurrence. Confirming the conserved expression of the classifiers in the independent datasets, we next evaluated the relationship between our subtypes and the TCGA subtypes of mesenchymal, proneural, classical,and neural type [11]. Prediction of the subtypes was performed on the integrated data set of TCGA and ours using the overlapped genes with variable expressions (n=4,378, S.D. > 0.5). By applying three different classification methods of unsupervised hierarchical clustering, consensus clustering, and nearest template prediction (NTP) on the integrated data set (for details  see the Materials and Methods), we could successfully re-identify the four subtypes, respectively (S2 Fig and S3 Table). Unsupervised clustering analysis with the integrated data set could reveal four classes which were compatible with the previous TCGA subtypes (S2A Fig). Consensus clustering analysis also showed four distinct expression subtypes (S2B and S2C Fig). When we compared these classification results with our subtypes of G1 and G2,we could observe that the G2 tumors had similar expression pattern to that of neural subtype,while the G1 tumor was similar to those of other three groups of mesenchymal, proneuronal, and classical subtypes (Fig 2E). This result was consistent with the resul tof GO analysis (seeFig 2B). Taken together, we could suggest that the recurrent glioblastomas have at least two different patterns of G1 and G2 subtype. The G2 subtype is similar to neural subtype, while the G1 subtype is likely to be mixed with the other types.

Expression of stemness and drug-resistance-related genes might be involved in the subtypes of recurrence glioblastomas

To further gain an insight on the differential molecular determinants in the G1 and G2clusters, a network analysis was applied by using GeneMANIA software (version 3.2)[17]. This revealed CDK1 (cyclin-dependent kinase 1), AURKA (aurorakinase A), and AURKB (aurorakinase B) as key hub regulators for G1 tumors(Fig3 A). Indeed, AURKA is well known to play an important function in tumor development, progression,and patient survival [18–21]. Moreover, AURKA is strongly correlated with survival of glioma stem cells[22]. AURKB has also been associated with TMZ susceptibility [23]and aggressive outcomes of glioblastomas [24]. CDK1 isalso known to play regulatory roles in the self-renewal of mouse embryonic stemcells [25] as well as for cell survival of glioblastoma [26].These findings may support that the selective targeting of these genes for G1 recurrent tumors might be beneficial in the clinic. In addition, when we performed geneset enrichment analysis, the G1 tumors showed significant enrichment of stemness-related genes, ES1 (ES=0.526, P-value < 0.001, False Discovery Rate(FDR) < 0.001) which has been identified previously elsewhere [27]. Among the ES1 genes, HMMR (Hyaluronan-mediated motility receptor) was top ranked (Fig 3B), suggesting its pivotal role in the stem cell-like characteristics of G1 tumors. HMMR has recently been reported to express in the gliomas and to play a crucial role in self-renewal and tumorigenic potential of glioblastoma stem cells[28]. Supporting this, we also observed that HOX genes were enriched and differentially expressed (ES =0.704, P-value < 0.001,FDR < 0.001) in the G1 tumors (Fig 3C), which have been notified as “self- renewal”-associated genes in gliomas [29,30]. Of these, HOXA10 showed marked over-expression in G1 tumors (Fig 3D). HOXA10 has been known to involve in homologous recombinant DNA repair pathway [31], playing a key role inTMZ resistance in glioblastomas [29]. Congruent with these findings, the G1 tumors showed significant enrichment of the DNA_REPAIR genes (ES=0.686, P value < 0.001, FDR < 0.001, S3A Fig). Therefore, we could suggest that resistance tothe chemotherapeutic agent may be attributed by the inherited stem-cell-like characteristics of the G1 tumors. The self-renewal properties and the activated DNA repair system (e.g.,HOXA10) might be responsible for the relapseof the recurrent G1 glioblastomas after resection and adjuvant treatment.

 Fig 3. Expression of stemness-like traits in G1 recurrent tumors. (A) Network analysis using G1 signature genes reveals the CDK and AURK as the key hub genes (top). Pathway(light blue) and physical interactions (light pink) are indicated with different colors. The heatmap of the expression of the keyhub genes (CDK1, AURKA, AURKB, HMMR, RAD45L) are plotted (bottom). (B) The GSEA result show the enrichment of the ES1 signature (top) and the expression of the top 20 differentially expressed genes are shown (bottom). (C) The plots showed the enrichment scores (ES) for the HOX_GENE signature (top) and their expression heatmap is shown(bottom).(D) The expression of HOX10a in G1 and G2 tumors are plotted. Statistical significance is calculated using Welch TwoSampleT-test. http://dx.doi.org:/10.1371/journal.pone.0140528.g003

Differential expression of MGMT and MSH6 genes in the subtypes of recurrentglioblastomas

As the glioblastoma subtypes were associated with drug-resistance, we hypothesized that different tactics to escape the chemotherapeutics might be involved in recurrent glioblastomasof each subtype. TMZ has been currently emerged as a new standard regimen in glioblastoma. Previous studies have demonstrated that the therapeutic effects of TMZ might be restricted to  the patients whose MGMT (O-6-methylguanine–DNA methyltransferase) promoters were methylated [32,33], which might be due to the MGMT repairing DNA-alkylated adducts could diminish the TMZ cytotoxicity induced by O6-methylguanine-DNA adducts [34]. In addition, it has been suggested that MGMT-independent DNA repair pathway could affect TMZ effectiveness [35–37].Indeed, it has been demonstrated that the activation of DNA mismatch repair (MMR) system could promote TMZ resistance [35–38].With respect to this, we examined the expression of both MGMT and MMR genes (i.e., MLH1,  MSH2, and MSH6). MGMT was significantly up-regulated in the G2 subtype than theG1 subtype  (P=1 .145 x 10−5,Fig  4A). By contrast, the MSH6 expression was significantly down-regulated inG2 subtype implying their decreased activity of MMR pathway (P=4 .45 x10−3). When we compared the paired primary and recurrent tumors, marked change of MGMT expression could be observed in recurrent G2 (G2R) but not in recurrent G1 (G1R) tumors (P<0.005, Fig 4B, left). Vice versa, MSH6 showed significant lower expression in the G2R tumors compared to the G1R tumors (P=0 .0098). Taken together, our results strongly suggest that the G2 but not G1 tumors may acquire TMZ tolerance via altered expression of MGMT and MMR pathway genes. As the G2 subtype showed similar expression pattern with neural subtype (see Fig 2),we next compared the expression of MGMT and MSH6 among the subtypes of TCGA data. As expected, the neural subtype showed significant overexpression of MGMT
(P = 1 .18x 10−3, Fig 4C,  left) and down-expression of MSH6 (P=1 .34x 10−2, Fig 4C, left) compared to the other subtypes, respectively. When we compared the four subtypes of TCGA, the neural subtype showed the highest expression ofMGMT and the lowest expression of MSH6 compared to other subtypes (S4A and S4B Fig). These resulst may support our result showing the subtype specific mechanism of TMZ resistance

Fig 4. Differential expressionof MGMTand MSH6 genes between G1 and G2tumors. (A) The expressions of MGMT (left) and MSH6 (right) were evaluated in G1 and G2 tumors. (B) Paired comparison of MGMT (left) and MSH6 (right) expressions between primary (P) and paired recurrent(R) tumors. Traced lines indicate the expression changes between primary and paired recurrent tumors. (C) The comparison of MGMT (left) and MSH6 (right) expressions between the neural subtype (N) and the other subtypes. The statistical significance is evaluated using Welch Two Sample t-test (*significantatP<0.05,**significantat P<0.005).
http://dx.doi.org:/10.1371/journal.pone.0140528.g004

Discussion

In this study, by performing integrative gene expression profile analyses, we have demonstrated that there are two distinct subtypes of transcriptomic reprogramming during recurrence of glioblastomas. From the results,we could suggest that the distinct two different mechanisms might be involved in for the TMZ resistance in each subtype.The G1 recurrent tumors had similar expression with the paired primary tumors, which express stemness and DNA-repair related genes. By contrast, the G2 recurrent tumors showed gene expression migration acquiring neuron-like traits. This may reflect the two different mechanisms might be involved in the acquisition of the recurrence phenotypes. Further interrogation has revealed the differential expression of MGMT and MSH6 between the subtypes (Fig 4B), which suggested the involvement of distinct mechanisms for TMZ resistance during recurrence of glioblastomas. The G1 tumors expressed the stem cell-related “self-renewal” signature including HOX_genes, stemness genes (ES1), CDK, and AURKA/B genes in both the paired primary and recurrent tumors. The G1 recurrent tumors didn’t show subtype migration by recurrence, indicating that the initial gene expression profiles were remained without change even after treatment and disease progression. Thus,the expression of stemness genes might be a possible explanation for the TMZ resistance in G1 recurrent tumors. On the other hand, the G2 tumors showed significant differential expression of MGMT and MSH6 genes compared to the primary tumors. As an  underlying mechanism for the TMZ resistance, it has been addressed that MGMT protein removes the methyl orchloroethyl damage at the O6 position of guanine [40]. In addition,the mismatch repair system (MMR) is also considered to be involved in theTMZ resistance, amending the DNA damage and base mismatches [41]. MMR recognizes unrepaired O6-methylated guanine adduct and induces cytotoxicity. Thus, inactivation of MMR may induce TMZ tolerance [34, 38]. In this regards, the G2 tumors showed the acquired expressions of MGMT and inactivation of MMR system genes (MSH6), which might be responsible for the acquisition of TMZ resistance. It is interesting to find that the G2 recurrent tumors acquire neuron-like features. Indeed, we have previously demonstrated the xenografted tumors in the brain acquire neuron-like expression traits,mimicking neurogenesis during development [42]. The results showed the connection of tumors with brain microenvironment such as neighbor astrocytes can give rise to chemo-resistant nature of brain metastatic tumors. Congruently, our data strongly support that brain environment may contribute to the neuron-like transcriptional reprogramming in G2 recurrent tumors. In addition, we have shown in theprevious study the high concordance between promoter methylation and gene expression profiles, suggesting the contribution of epigenetic events to transcriptome reprogramming [42]. This raises a possibility that the acquisitionof neuron-like trait in the G2 subtype might be related with the methylation reprogramming. However,we could not observe from TCGA data the associations between methylation status and the tumor recurrence subtypes. To address the roles of epigenetic reprogramming to the transcriptomic reprogramming during glioma recurrence accurately, further large scale studies with detailed methylation profiling might be needed.

Current and Emerging Treatments for Brain Metastases

Review ArticleApril 15, 2015Oncology Journal, Brain Tumors

ONCOLOGY  2015; 29(4)
By , , , , and
Conventional methods for treating brain metastasis, such as surgery, WBRT, and SRS, each compete with and complement one another. A plethora of recent studies have helped define and expand the utility of these tools.

http://www.cancernetwork.com/brain-tumors
http://www.cancernetwork.com/brain-tumors/current-and-emerging-treatments-brain-metastases

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Personalized oncology: recent advances and future challenges

Writer and Curator:  Larry H Bernstein, MD, FCAP

LPBI

3.6 Personalized oncology: recent advances and future challenges

Kalia M1
Metabolism. 2013 Jan;62 Suppl 1:S11-4
http://dx.doi.org:/10.1016/j.metabol.2012.08.016

Personalized oncology is evidence-based, individualized medicine that delivers the right care to the right cancer patient at the right time and results in measurable improvements in outcomes and a reduction on health care costs. Evolving topics in personalized oncology such as genomic analysis, targeted drugs, cancer therapeutics and molecular diagnostics will be discussed in this review. Biomarkers and molecular individualized medicine are replacing the traditional “one size fits all” medicine. In the next decade the treatment of cancer will move from a reactive to a proactive discipline. The essence of personalized oncology lies in the use of biomarkers. These biomarkers can be from tissue, serum, urine or imaging and must be validated. Personalized oncology based on biomarkers is already having a remarkable impact. Three different types of biomarkers are of particular importance: predictive, prognostic and early response biomarkers. Tools for implementing preemptive medicine based on genetic and molecular diagnostic and interventions will improve cancer prevention. Imaging technologies such as Computed Tomography (CT) and Positron Emitted Tomography (PET) are already influencing the early detection and management of the cancer patient. Future advances in imaging are expected to be in the field of molecular imaging, integrated diagnostics, biology driven interventional radiology and theranostics. Molecular diagnostics identify individual cancer patients who are more likely to respond positively to targeted chemotherapies. Molecular diagnostics include testing for genes, gene expression, proteins and metabolites. The use of companion molecular diagnostics is expected to grow significantly in the future and will be integrated into new cancer therapies a single (bundled) package which will provide greater efficiency, value and cost savings. This approach represents a unique opportunity for integration, increased value in personalized oncology.

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The HER-2 Receptor and Breast Cancer: Ten Years of Targeted Anti–HER-2 Therapy and Personalized Medicine

Writer and Curator:  Larry H Bernstein, MD, FCAP

LPBI

3.3 The HER-2 Receptor and Breast Cancer: Ten Years of Targeted Anti–HER-2 Therapy and Personalized Medicine

Jeffrey S. Ross,  Elzbieta A. Slodkowska,  W. Fraser Symmans, et al.
The Oncologist 2009; 14:320 –368
http://cme.theoncologist.com

Objectives:

  1. Contrast the current strengths and limitations of the three main slide-based techniques (IHC, FISH, and CISH) currently in clinical use for testing breast cancer tissues for HER-2 status.
  2. Compare the efficacy of trastuzumab- and lapatinib-based regimens in the adjuvant and metastatic settings as reported in published clinical trials and regulatory approval databases.
  3. Contrast the list of biomarkers that have been associated with clinical resistance to trastuzumab and lapatinib and describe their current level of validation.

The human epidermal growth factor receptor (HER-2) oncogene encodes a transmembrane tyrosine kinase receptor that has evolved as a major classifier of invasive breast cancer and target of therapy for the disease. The validation of the general prognostic significance of HER-2 gene amplification and protein overexpression in the absence of anti–HER-2 targeted therapy is discussed in a study of 107 published studies involving 39,730 patients, which produced an overall HER-2– positive rate of 22.2% and a mean relative risk for overall survival (OS) of 2.74. The issue of HER-2 status in primary versus metastatic breast cancer is considered along with a section on the features of metastatic HER- 2–positive disease. The major marketed slide-based HER-2 testing approaches, immunohistochemistry, fluorescence in situ hybridization, and chromogenic in situ hybridization, are presented and contrasted in detail against the background of the published American Society of Clinical Oncology–College of American Pathologists guidelines for HER-2 testing. Testing issues, such as the impact of chromosome 17 polysomy and local versus central HER-2 testing, are also discussed. Emerging novel HER-2 testing techniques, including mRNA-based testing by real-time polymerase chain reaction and DNA microarray methods, HER-2 receptor dimerization, phosphorylated HER-2 receptors, and HER-2 status in circulating tumor cells, are also considered. A series of biomarkers potentially associated with resistance to trastuzumab is discussed with emphasis on the phosphatase and tensin homologue deleted on chromosome ten/Akt and insulin-like growth factor receptor pathways. The efficacy results for the more recently approved small molecule HER- 1/HER-2 kinase inhibitor lapatinib are also presented along with a more limited review of markers of resistance for this agent. Additional topics in this section include combinations of both anti–HER-2 targeted therapies together as well as with novel agents including bevacizumab, everolimus, and tenespimycin. A series of novel HER-2–targeting agents is also presented, including pertuzumab, ertumaxomab, HER-2 vaccines, and recently discovered tyrosine kinase inhibitors. Biomarkers predictive of HER-2 targeted therapy toxicity are included, and the review concludes with a consideration of HER-2 status in the prediction of response to non–HER-2 targeted treatments including hormonal therapy, anthracyclines, and taxanes.

Biology, Pathology, Diagnosis, And Clinical Significance Of Her-2–Positive Breast Cancer

The human epidermal growth factor receptor 2 (HER-2, HER-2/neu, c-erbB-2) gene, first discovered in 1984 by Weinberg and associates [1], is localized to chromosome 17q and encodes a transmembrane tyrosine kinase receptor protein that is a member of the epidermal growth factor receptor (EGFR) or HER family (Fig. 1) [2]. This family of receptors is involved in cell– cell and cell–stroma communication primarily through a process known as signal transduction, in which external growth factors, or ligands, affect the transcription of various genes, by phosphorylating or dephosphorylating a series of transmembrane proteins and intracellular signaling intermediates, many of which possess enzymatic activity. Signal propagation occurs as the enzymatic activity of one protein turns on the enzymatic activity of the next protein in the pathway [3]. Major pathways involved in signal transduction, including the Ras/mitogen-activated protein kinase pathway, the phosphatidylinositol 3 kinase (PI3K)/Akt pathway, the Janus kinase/signal transducer and activator of transcription pathway, and the phospholipase C pathway, ultimately affect cell proliferation, survival, motility, and adhesion. Receptor activation requires three variables, a ligand, a receptor, and a dimerization partner [4]. After a ligand binds to a receptor, that receptor must interact with another receptor of identical or related structure in a process known as dimerization in order to trigger phosphorylation and activate signaling cascades. Therefore, after ligand binding to an EGFR family member, the receptor can dimerize with various members of the family (EGFR, HER-2, HER-3, or HER-4). It may dimerize with a like member of the family (homodimerization) or it may dimerize with a different member of the family (heterodimerization). The specific tyrosine residues on the intracellular portion of the HER-2/neu receptor that are phosphorylated, and hence the signaling pathways that are activated, depend on the ligand and dimerization partner. The wide variety of ligands and intracellular crosstalk with other pathways allow for significant diversity in signaling. Although no known ligand for the HER-2 receptor has been identified, it is the preferred dimerization partner of the other family members. HER-2 heterodimers are more stable [5, 6] and their signaling is more potent [7] than receptor combinations without HER-2. HER-2 gene amplification and/or protein overexpression has been identified in 10%–34% of invasive breast cancers [1]. Unlike a variety of other epithelial malignancies, in breast cancer, HER-2 gene amplification is uniformly associated with HER-2 (p185neu) protein overexpression and the incidence of single copy overexpression is exceedingly rare [8]. HER-2 gene amplification in breast cancer has been associated with increased cell proliferation, cell motility, tumor invasiveness, progressive regional and distant metastases, accelerated angiogenesis, and reduced apoptosis [9].When classified by routine clinicopathologic parameters and compared with HER-2– negative tumors, HER-2–positive breast cancer is more often of intermediate or high histologic grade, more often lacking estrogen receptors (ERs) and progesterone receptors (PgRs) (ER and PgR negative), and featuring positive lymph node metastases at presentation [1]. In the recent molecular classification of breast cancer, positive HER-2 status does not constitute a unique molecular category and is identified in both the “HER-2” and “luminal” tumor classes [10].

Figure 1 (not shown)

Figure 1. The human epidermal growth factor receptor (HER) gene family. This image depicts the complex crosstalk between members of the HER family of receptor tyrosine kinases and intracellular signaling. Activated HER receptors can function to both stimulate and inhibit downstream signaling of members of other biologic pathways. Note that HER-2 has no activating ligands and HER-3 lacks a tyrosine kinase domain. HER-2–mediated signaling is associated with cell proliferation, motility, resistance to apoptosis, invasiveness, and angiogenesis. The figure shows the complexity of signaling pathways initiated by, and influenced by, HER family protein receptors at the cell surface.

HER-2 Status and Prognosis in Breast Cancer Both morphology-based and molecular-based techniques have been used to measure HER-2/neu status in breast cancer clinical samples [11–117]. By a substantial majority, abnormalities in HER-2 expression at the gene, message, or protein level have been associated with adverse prognosis in both lymph node–negative and lymph node–positive breast cancer. Of the 107 studies considering 39,730 patients listed in Table 1, 95 (88%) of the studies determined that either HER-2 gene amplification or HER-2 (p185 neu) protein overexpression predicted breast cancer outcome on either univariate or multivariate analysis. In 68 (73%) of the 93 studies that featured multivariate analysis of outcome data, the adverse prognostic significance of HER-2 gene, message, or protein overexpression was independent of all other prognostic variables. In only 13 (12%) of the studies, no correlation between HER-2 status and clinical outcome was identified. Of these 13 noncorrelating studies, eight (62%) used immunohistochemistry (IHC) on paraffin-embedded tissues as the HER-2/protein detection technique, two (15%) used fluorescence in situ hybridization (FISH), two (15%) used Southern analysis, and one (7%) used a real-time polymerase chain reaction (RT-PCR) technique. Of the 15 studies that used the FISH technique, 13 (87%) showed univariate prognostic significance of gene amplification, and 11 of these (85%) showed prognostic significance on multivariate analysis as well. The two studies that used chromogenic in situ hybridization (CISH) HER-2 gene amplification detection techniques both found that HER-2 amplification was an independent predictor of outcome on multivariate analysis [100, 112]. However, interpretation of these studies is complicated by the fact that most studies included patients who received variable types of systemic adjuvant therapy; therefore, the pure prognostic value of HER-2 overexpression in the absence of any systemic adjuvant therapy is incompletely understood.

Table 1 HER-2 status and prognosis in breast cancer (not shown)

HER-2 Positivity Rates The frequency of HER-2 positivity in all of the studies presented in Table 1 was 22.2%, with a range of 9%–74%. The HER-2–positive rate was similar for IHC, at 22% (range, 10%–74%), and FISH, at 23.9% (range, 14.7%– 68%). In current practice, HER-2–positive rates have trended below 20%, with most investigators currently reporting that the true positive rate is in the range of 15%–20%. The HER-2– positive rate may be higher when metastatic lesions are tested, and tertiary hospitals and cancer centers report slightly higher rates than community hospitals and national reference laboratories. Relative Risk and Hazard Ratio In Table 1, a number of studies provided data as to the relative risk (RR) of untreated HER-2–positive breast cancer being associated with an adverse clinical outcome. For OS, the mean RR was 2.74 (range, 1.39 – 6.93) and the median was 2.33; for disease-free survival (DFS), the mean RR was 2.04 (range, 1.30 –3.01) and the median was 1.8. In several studies, the RR was estimated with a hazard ratio (HR) model. The mean HR was 2.12 (range, 1.6 –2.7) and the median was 2.08. HER-2 Expression and Breast Pathology The association of HER-2–positive status with specific pathologic conditions of the breast is summarized in Table 2. HER-2 overexpression has been consistently associated with higher grades and extensive forms of ductal carcinoma in situ (DCIS) and DCIS featuring comedo-type necrosis [118 –121]. The incidence of HER-2 positivity in DCIS has varied in the range of 24%–38% in the published literature, which appears to be slightly higher than that for invasive breast cancer [118 –121]. Routine testing for HER-2 status in DCIS is not widely performed. However, should anti– HER-2 targeted therapies directed at HER-2–positive DCIS result in a reduction in the development of invasive disease, the widespread use of HER-2 testing in DCIS would be adopted. Finally, the invasive carcinoma that develops in association with HER-2–positive DCIS may, on occasion, not feature a HER-2–positive status, a finding that has led investigators to believe that HER-2 gene amplification may not be required for the local progression of breast cancer [122]. Compared with invasive ductal carcinoma (IDC), HER-2 gene amplification occurs at a significantly lower rate in invasive lobular carcinoma (ILC) (10%), but has also been linked to an adverse outcome [85]. HER-2 positivity is linked exclusively to the pleomorphic variant of ILC and is not encountered in classic ILC [123]. HER-2 amplification is strongly correlated with tumor grade in both IDC and ILC. For example, in one study, only one of 73 grade I IDC cases and one of 67 low-grade classic ILC cases showed HER-2 amplification detected by FISH [86]. HER-2 overexpression and HER-2 amplification have been a consistent feature of both mammary and extramammary Paget’s disease [124, 125] (Fig. 2). HER-2 amplification and HER-2 overexpression have been associated with adverse outcome in some studies of male breast carcinoma [126 –129], but not in others [130 –132]. The incidence of HER-2 positivity appears to be lower in male breast cancer than in female breast cancer [126 –132]. Documented responses in male breast cancer to HER-2–targeting agents have been described, and therefore treatment with trastuzumab is an acceptable option for these patients, but the true activity rate remains uncertain [133]. The rate of HER-2 overexpression in mucinous (colloid) breast cancers is extremely low, although, on occasion, it has been associated with aggressive disease [134 –136]. In medullary breast carcinoma, HER-2 testing has consistently found negative results [137]. Similarly, HER-2 positivity is extremely rare in cases of tubular carcinoma [138]. HER-2 status has not been consistently linked to the presence of inflammatory breast cancer [139, 140]. Molecular studies of hereditary breast cancer including cases with either BRCA1 or BRCA2 germline mutations have found a consistently lower incidence of HER-2–positive status for these tumors [141].

Figure 2 not shown

Figure 2. Human epidermal growth factor receptor (HER)-2–positive Paget’s disease of the nipple. In this patient, who presented with HER-2–positive invasive duct carcinoma, classic clinical features of Paget’s disease of the nipple were present. A section of the nipple from the mastectomy specimen shows 3+ continuous cell membrane immunoreactivity for HER-2 protein. Nearly 100% of Paget’s disease of the breast cases are HER-2 positive (see text).

Breast sarcomas and phyllodes tumors have consistently been HER-2 negative [142]. Finally, low-level HER-2/neu overexpression has been identified in benign breast disease biopsies and is associated with a greater risk for subsequent invasive breast cancer [143].

HER-2 Status in Primary Versus Metastatic Breast Cancer The majority of studies that have compared the HER-2 status in paired primary and metastatic tumor tissues have found an overwhelming consistency in the patient’s status regardless of the method of testing (IHC versus FISH) [144 –151]. However, several recent studies indicated 20%–30% discordance rates between the HER-2 status of primary and metastatic lesions. Some of these studies have featured relatively high HER-2–positive rates on both paired specimens (> 35% positive), which has created concern about the conclusions of these reports [152]. Also, considering that 10%–30% discordance rates have been reported even when the same tumor is tested repeatedly, it remains uncertain if the discordance rates seen between primary and metastatic sites is higher than expected by the less than perfect reproducibility of the various HER-2 assays. Increasingly, emerging data suggest that there are changes in HER-2 expression between primary and metastatic disease. This is particularly true after intervening HER-2– directed therapy, but also happens in the absence of such treatment. In cases where the original primary HER-2 test result is questioned because of technical or interpretive issues and in patients where there has been an unusually long (i.e., > 5-year) interval between the primary occurrence and the detection of metastatic disease, retesting of a metastatic lesion may be warranted. Thus, although routine HER-2 testing of metastatic disease is advocated by some investigators, the preponderance of data indicates that the HER-2 status remains stable and that routine retesting of HER-2 may not be needed for most patients with metastatic disease.

Features of Metastatic HER-2–Positive Breast Cancer Metastatic HER-2–positive breast cancer retains the phenotype of the primary tumor not only in HER-2 status, but also is typically ER/PgR negative, moderate to high tumor grade, DNA aneuploid with high S phase fraction, and featuring ductal rather than lobular histology. In the era prior to the initiation of HER-2–targeted therapy, HER-2–positive breast cancer was more likely to spread early to major visceral sites including the axillary lymph nodes, bone marrow, lungs, liver, adrenal glands, and ovaries [153]. In the post–HER-2 targeted therapy era, the incidence of progressive visceral metastatic disease in HER-2–positive tumors has diminished and has frequently been superseded by the development of clinically significant central nervous system (CNS) metastatic disease [154 –157]. It is widely held that the success in the control of visceral disease with trastuzumab has unmasked previously occult CNS disease and, because of the inability of the therapeutic antibody to cross the blood– brain barrier, allowed brain metastases to progress during the extended OS duration of treated patients [154, 155]. The small-molecule drug lapatinib has shown some promise for targeting HER-2–positive CNS metastases that are resistant to trastuzumab-based therapies in initial studies [158].

Interaction of HER-2 Expression with Other Prognosis Variables HER-2 gene amplification and protein overexpression have been associated consistently with high tumor grade, DNA aneuploidy, high cell proliferation rate, negative assays for nuclear protein receptors for estrogen and progesterone, p53 mutation, topoisomerase IIa amplification, and alterations in a variety of other molecular biomarkers of breast cancer invasiveness and metastasis [159 –161].

Figure 3. Human epidermal growth factor receptor (HER)-2 testing.
(not shown)  (A): Immunohistochemistry (IHC). This panel depicts the four categories of HER-2 IHC staining including 0 and 1+ (negative), 2+ (equivocal), and 3+ (positive) using the American Society of Clinical Oncology–College of American Pathologists guidelines for HER-2 IHC scoring. (B): Fluorescence in situ hybridization (FISH). This panel demonstrates a case of invasive duct carcinoma, on the left, negative for HER-2 gene amplification (gene copy number < 4) and a case of HER-2 gene–amplified breast cancer (gene copy number > 6),

FISH. The FISH technique (Fig. 3B), like IHC, is a morphology-driven slide-based DNA hybridization assay using fluorescent-labeled probes. Both the hybridization steps and the slide scoring can be automated. FISH has the advantages of a more objective scoring system and the presence of a built-in internal control consisting of the two HER-2 gene signals present both in benign cells and in malignant cells that do not feature HER-2 gene amplification.

IHC Versus FISH. Although the FISH method is more expensive and time-consuming than IHC, numerous studies have concluded that this cost is well borne by the greater accuracy and more precise use of anti–HER-2 targeted therapies [179 –180, 182–183]. FISH is considered to be more objective and reproducible in a number of systematic reviews [165, 180, 183–186]. In one study, the concordance rates between IHC and FISH were highest in tumors scored by IHC as 0 and 1+ and lowest for 2+ and 3+ cases [183]. Currently, the majority (approximately 80%) of HER-2 testing in the U.S. commences with a screen by IHC, with results of 0 and 1+ considered negative, 2+ considered equivocal and referred for FISH testing, and 3+ considered positive. In a pharmacoeconomic study of patients being considered for trastuzumab-based treatment for HER-2– positive tumors, FISH was found to be a cost-effective diagnostic approach “from a societal perspective” [187].

CISH and Silver In Situ Hybridization. The CISH method (Fig. 3E) and silver in situ hybridization (SISH) method feature the advantages of both IHC (routine microscope, lower cost, familiarity) and FISH (built-in internal control, subjective scoring, the more robust DNA target) [190, 191]. The CISH technique uses a single HER-2 probe, detects HER-2 gene copy number only, and was recently approved by the FDA to define patient eligibility for trastuzumab treatment. The SISH method employs both HER-2 and chromosome 17 centromere probes hybridized on separate slides and is currently under review by the FDA. Numerous studies have confirmed a very high concordance between CISH and FISH, typically in the 97%–99% range [191–203]. Similar to FISH, CISH has its highest correlation with IHC 0, 1+, and 3+ results and lowest correlation with IHC 2+ staining.

Chromosome 17 Polysomy. The incidence of chromosome 17 polysomy has varied from as low as 4% to as high as 30% in studies of invasive breast cancer [204 –208]. This may reflect differences in the definition of polysomy ranging from a low-level definition of more than two copies per cell to a high of more than four copies per cell of the chromosome. Most studies have linked chromosome 17 polysomy with greater HER-2 protein overexpression [204 –207], but some have found that protein overexpression only occurs in the presence of selective HER-2 gene amplification [204].

The 2007 ASCO-CAP Guidelines. In early 2007, a combined task force from ASCO and the CAP issued a series of recommendations designed to improve the accuracy of tissue-based HER-2 testing in breast cancer [212]. A summary of the ASCO-CAP guidelines is provided in Table 4. Highlights of these recommendations include (a) standardizing fixation in neutral-buffered formalin for no less than 6 hours and no more than 48 hours, (b) unlike their respective FDA-approval specifications, defining equivocal zones for the IHC, FISH, and CISH tests, (c) establishing a standardized quality assurance program for testing laboratories, and (d) requiring the participation of these laboratories in a proficiency testing program [212]. The published guidelines were designed to improve the overall precision and reliability of all types of slide-based HER-2 tests and remained neutral as to the relative superiority of one test over the others.

Figure 4. Real-time polymerase chain reaction (RT-PCR). In this RT-PCR assay using the Taqman RT-PCR System (Applied Biosystems Inc., Foster City, CA), note the detection of increased human epidermal growth factor receptor(HER)-2 mRNA expression in green detected at lower numbers of amplification cycles compared with the two housekeeping genes shown in red and blue.

Figure 5. DNA microarray. In this image, increased expression of human epidermal growth factor receptor (HER)-2 mRNA has been detected using a proprietary DNA microarray system (Millennium Pharmaceuticals, Inc., Cambridge, MA). The microarray demonstrates the coexpression of seven genes (HER-2 is second from the bottom) related to the amplification of HER-2 DNA in this case of HER-2–positive breast cancer.

Her-2–Targeted Therapy and the Treatment of Her-2–Positive Breast Cancer

Trastuzumab: HER-2 Testing and the Prediction of Response to Trastuzumab Therapy Using recombinant technologies, trastuzumab (Herceptin; Genentech, South San Francisco, CA), a monoclonal IgG1 class humanized murine antibody, was developed by the Genentech Corporation to specifically bind the extracellular portion of the HER-2 transmembrane receptor. This antibody therapy was initially targeted specifically for patients with advanced relapsed breast cancer that overexpresses HER-2 protein [262]. Since its launch in 1998, trastuzumab has become an important therapeutic option for patients with HER-2–positive breast cancer and is widely used for its approved indications in both the adjuvant and metastatic settings (Fig. 6) [185, 263–265]. Although trastuzumab is approved as a single-agent regimen, most patients are treated with trastuzumab plus cytotoxic agents. Table 5 summarizes the significant clinical trials that contributed to the regulatory approvals of trastuzumab.

This topic is scheduled for another article.

Trastuzumab Combinations. Since the FDA approval in 1998 of two trastuzumab plus chemotherapy combinations, a number of additional approaches have gained favor in the clinical practice community. The National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines [284] currently recommend the following regimens for the first-line treatment of HER-2–positive MBC: trastuzumab plus single agents— either paclitaxel (every 3 weeks or weekly), docetaxel (every 3 weeks or weekly), or vinorelbine (weekly). For combination therapies, the NCCN recommends trastuzumab plus paclitaxel and carboplatin (every 3 weeks) or docetaxel plus carboplatin. Recently, carboplatin-based trastuzumab combinations have gained interest as a result of both the apparent boost in efficacy as measured by a higher overall response rate and longer progression-free survival time and the cardioprotective benefits of avoiding an anthracycline-containing regimen [285].

Neoadjuvant Setting The results of trastuzumab-based neoadjuvant studies (Table 5) have received significant recent interest in the oncology community [289]. Virtually all completed and in progress clinical trials have demonstrated a significant enhancement in the rate of pathologic complete response (pCR), the primary endpoint in these studies, in cases of patients with HER-2–positive breast cancer that received trastuzumab in the neoadjuvant setting [290 –297]. This benefit of the addition of trastuzumab in the neoadjuvant setting appears to be independent of, if not enhanced by, the coexistence of ER positivity [297]. Among the potential explanations for the apparent greater chemosensitivity of HER-2–positive tumors cotreated with trastuzumab in the neoadjuvant setting is the concept that HER-2 gene amplification is in some way related to the growth and survival of breast cancer stem cells [298, 299].

Biomarkers of Trastuzumab Resistance Since trastuzumab was introduced for the treatment of MBC in 1998, there has been growing interest in the discovery and potential clinical utility of biomarkers designed to predict resistance to the drug. Current approaches to HER-2 testing provide a negative predictor of drug response: the test does not predict which patients will respond to trastuzumab, it predicts which patients are unlikely to benefit.

Neoadjuvant Setting The Neo-ALTTO trial is a randomized, open-label, multicenter, phase III study comparing the efficacy of neoadjuvant lapatinib plus paclitaxel with that of trastuzumab plus paclitaxel and with concomitant lapatinib and trastuzumab plus paclitaxel given as neoadjuvant treatment in HER-2– positive primary breast cancer [337].

Biomarkers of Lapatinib Resistance In that lapatinib was approved 9 years after trastuzumab, considerably less information has been published concerning markers of efficacy or resistance to the drug [331, 341– 343].

Trastuzumab Since its introduction in the MBC setting and continuing throughout its advance into use in both the adjuvant and neoadjuvant settings, trastuzumab has been associated with the development of a variety of toxicities [384]. In the original registration trial for MBC, trastuzumab was associated with a variety of adverse events, including pain, gastrointestinal disturbances, minor hematologic deficiencies, pulmonary symptoms, and congestive heart failure (CHF) [265]. Cardiac toxicity has remained the most significant limiting factor for the use of trastuzumab [384 –389]. A major consideration in the development of cardiac toxicity in patients treated with trastuzumab has been their prior or concomitant exposure to anthracycline drugs, also associated with dose-dependent irreversible heart damage [384 – 389].

Lapatinib The most frequent adverse reactions in the lapatinib– capecitabine registration trial for MBC combination were diarrhea (65%), palmar–plantar erythrodysesthesia (53%), nausea (44%), rash (28%), vomiting (26%), and fatigue (23%) [332]. In a comprehensive analysis of the clinical trials featuring lapatinib in combination with various other agents, the overall incidence of LVEF decline was 1.6%, with 0.2% of patients experiencing symptomatic CHF [389].

HER-2 Status and the Prediction of Response to Non–HER-2 Targeted Therapy The use of HER-2 status to predict responsiveness or resistance to hormonal therapies, advocated by a number of oncologists, remains controversial. It has been reported that ER-positive/HER-2–positive patients are either less responsive or completely resistant to single-agent tamoxifen [391–393]. When measured as continuous variables, the expression of HER-2 appears to be inversely related to the expression of ER and PgR even in hormone receptor–positive tumors [394].

Anthracyclines HER-2 overexpression has also been associated with enhanced response rates to anthracycline-containing chemotherapy regimens in most, but not all, studies [42, 410 – 414].

Radiation Therapy Initially, in the era prior to the introduction of anti–HER-2 targeted therapy, HER-2–positive status was associated with a higher rate of local recurrence in some studies of breast cancer treated with surgery and radiation therapy alone, but not in others [427– 429]. However, although large-scale, randomized, prospective studies are lacking, HER-2–positive tumors treated with trastuzumab-based neoadjuvant chemotherapy combined with external-beam radiation have indicated a favorable response in locally advanced breast cancer [430].

Summary The history of the discovery of the HER-2 oncogene in an animal model in 1984, the translation of this finding to the clinical behavior of human breast cancer, and the introduction of the first anti-HER targeted therapy in 1998 is clearly a triumph of “bench to bedside” medicine. In the 10 years that have now passed since the regulatory approval of the first anti–HER-2 targeted therapy, trastuzumab, thousands of preclinical and clinical studies have considered HER-2 as a prognostic factor, its ability to predict response to hormonal and cytotoxic treatments, the best way to test for it in routine specimens, and the clinical efficacy of targeting it in a wide variety of clinical settings. Given the proven efficacy of trastuzumab and lapatinib for the treatment of MBC, and also in the adjuvant and neoadjuvant settings, the critical issue as to which test (IHC versus FISH versus CISH versus mRNA based) is the most accurate and reliable method to determine HER-2 status in breast cancer has continued to increase in importance.

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Eppendorf Award for Young European Investigators

Curator: Larry H. Bernstein, MD, FCAP

Article ID #184: Eppendorf Award for Young European Investigators. Published on 9/18/2015

WordCloud Image Produced by Adam Tubman

Series E. 2; 8.11

The independent Eppendorf Award Jury chaired by Prof. Reinhard Jahn selected Dr. Thomas Wollert (Research Group Leader at the Max Planck Institute of Biochemistry in Martinsried, Germany) as the 2015 winner of the Eppendorf Award for Young European Investigators.

Thomas receives the €20,000 prize for his groundbreaking work in reconstituting complex intracellular membrane events in the test tube using artificial membranes and purified components. His experiments have paved the way for understanding key steps in autophagy, a fundamental process required for the clearance of damaged cell parts in all eukaryotic cells.

Listen to a podcast with Thomas Wollert and learn more about his work, and read excerpts from the interview in a Q&A feature article.

Presented in partnership with Nature The Eppendorf Award for Young European Investigators was established in 1995 to recognize outstanding work in biomedical science. It also provides the opportunity for European researchers to showcase their work and communicate their research to a scientific audience. Nature is pleased to partner with Eppendorf to promote the award and celebrate the winner’s work in print and online. Nature’s Julie Gould talks to the 2015 winner Thomas Wollert (Max Planck Institute of Biochemistry, Germany) about his work — which looks at the complex molecular process that cells use to remove their waste — and how it felt to win the award.
To listen to the full interview, visit: go.nature.com/cszfl1

About the Award Thomas Wollert is the twentieth recipient of the Eppendorf Award for Young European Investigators, which recognizes talented young individuals working in the field of biomedical research in Europe. The Eppendorf Award is presented in partnership with Nature. The winner is selected by an independent jury of scientists under the chairmanship of Reinhard Jahn, Director at the Max Planck Institute for Biophysical Chemistry in Göttingen, Germany. Nature and Eppendorf do not influence the selection. For more information see: eppendorf.com/award

http://www.nature.com/nature/awards/eppendorf/eppendorf_award_2015.pdf?WT.mc_id=EMI_NATURE_1509_YOUNGINVESTIGATOR2015&spMailingID=49568192&spUserID=MTYxNjA5NDg5ODE3S0&spJobID=762344014&spReportId=NzYyMzQ0MDE0S0

Julie Gould: Congratulations on being awarded this year’s prize. How did it feel when you found out that you had won?

Thomas Wollert: That came as a big surprise to me. It’s a great honor and it’s of course a major recognition of our work; not only my work, but also the work that my laboratory has done over the past five years. So this is very important to me.

JG: Tell us a little bit about the research you are working on.

TW: The cells in our bodies recycle almost everything — they do not waste much. The question in the past has been: how is this achieved? The process needs to be highly regulated. You don’t want to degrade something that you still need, but you do want to get rid of dangerous material that accumulates in the cell. We became interested in one pathway that is involved in transporting this sort of trash, or unwanted material, to recycling stations in the cell. We are particularly interested in how the molecular mechanism is driven.

JG: What sort of molecular trash are we talking about?

TW: Everything that needs to be degraded in a cell has to end up at a recycling station, one of which is called the lysosome. What ends up there is chemically degraded, and the building blocks are reused by the cell to build material. Proteins that become aggregated, big material or composite structures, and everything else in the cell cytoplasm (such as mitochondria) need to be transported to the lysosome. There is a specialized pathway to do that — this has been called autophagy for self-digestion. During autophagy, crescent-shaped membranes are formed, which expand and capture cytoplasmic components. These structures become autophagosomes, which are like entire organelles and are the containers that transport the trash to the lysosomes for degradation.

JG: How do these autophagosomes form in the cell?

TW: In yeast the system is fairly well understood. Small membrane vesicles are recruited and fuse to form the crescents haped autophagic precursor membrane. This membrane then surrounds and captures material, and, after sealing, the full autophagosome is formed and finally fuses with the lysosome. There are 40 different proteins in yeast that have been identified as those that have an essential function in autophagy — they are specific to the autophagy pathway. The question was, what are they doing with the membrane and what is their molecular function? And that was the major interest of my lab.

JG: What did you discover? TW:

We analysed two important steps in autophagy. The first is initiation and the second is expansion.

An autophagosome is built from small vesicles, which come together and fuse. This process is driven by one big complex called the Atg1-kinase complex. This complex is known to be involved in recruiting the donor vesicles that create the autophagosome. We recently published work on the expansion step. This is an interesting step that involves a small ubiquitin-like molecule, Atg8. The unique feature of this particular molecule is that it becomes covalently attached to autophagic precursor membranes. Many Atg8 molecules get conjugated to these membranes, so the question has been: why is there so much Atg8 on the membrane and what is its job there? To answer this, we analyzed the proteins independently of the complex cellular environment. We produced recombinant molecular machines that drive the formation of autophagosomes and analyzed their function in the test tube. The test-tube components include the protein subunits of these molecular machines and model membranes that serve as the platform for proteins to assemble into large complexes. What we realized — and what came as a surprise to us — was that the molecular machine that drives conjugation of Atg8 stays with Atg8 at the membrane, rather than leaving after conjugation. We predicted that something needs to happen, some bigger structure needs to form on the membrane to keep the conjugation machine there. Using high-resolution approaches, we observed that Atg8 forms together with its conjugation machine, a protein shell on membranes. It’s like a meshwork that sits on top of the membrane and stabilizes the forming autophagosome. Presumably.

JG: Why presumably?

TW: Because the details of how this expansion is driven by the scaffold is something that we are investigating.

JG: Will you be following this up over the next few years?

TW: Yes. This is an interesting question, but not an easy one to answer. We need to understand the direct relationship of how this really works in vivo.

JG: How does the autophagosome capture material from cells?

TW: The selection of cargo comes in two flavours. Under normal conditions, when the cell is happy, it only wants to degrade unwanted material or something damaged. It chooses these materials quite selectively. For example, it might only want to degrade dysfunctional mitochondria, the cell’s power plants. The membrane then wraps tightly around these structures. However, if a cell becomes stressed or starved, it can use autophagy to degrade anything that’s around. That means bulk cytoplasm without any selectivity. Imagine a big happy cell that is starved and goes on a low-value nutritional diet. The cell will shrink, but it survives. If nutritional conditions improve, it can grow again.

JG: What big impacts will this research have?

TW: The research focus at the moment is neurodegenerative disease and cancer. In certain neurodegenerative diseases, some proteins can accumulate in cells. There are a couple of diseases, such as Huntington’s disease, in which particular genetic modifications lead to alterations in proteins, which then tend to aggregate. In other diseases, such as Alzheimer’s disease, proteins also accumulate, and those protein oligomers, or aggregates, are toxic to the cell. In some neurodegenerative diseases, it has been observed that increasing autophagy is beneficial for cells, and thus patients, because increasing autophagy increases the removal of the toxic material. Neurodegenerative disease is usually not observed until the later stages, when this material has already accumulated. If you could remove this harmful material from cells, you could maybe rescue some neurons from dying. This is one application where you would really want to increase autophagy. In cancer, it has already been shown that combining chemotherapy with an inhibitor of autophagy is beneficial because autophagy just counteracts chemotherapy.

JG: What is it about this field that you find so interesting?

TW: What excites me the most is that you can use a minimal system, combining a few components and then trying to get them to work in a test tube. Our major goal, and our holy grail in this research, is to have the full autophagy pathway in a test tube, combining the autophagy components, step by step, to produce an autophagosome from small membranes, and to have some material wrapped in the autophagosome.

Award Winners

2015 Winner

In 2015 Eppendorf AG is presenting the Eppendorf Award for Young European Investigators for the 20th time. The independent Eppendorf Award Jury chaired by Prof. Reinhard Jahn selected Dr. Thomas Wollert (Research Group Leader Molecular Membrane and Organelle Biology at the Max Planck Institute of Biochemistry in Martinsried, Germany) as the 2015 winner of the Eppendorf Award for Young European Investigators. Thomas Wollert, born 1979, receives the €20,000 prize for his groundbreaking work in reconstituting complex intracellular membrane events in the test tube using artificial membranes and purified components. Thomas talks about his work in this Award Feature

The official prize ceremony took place at the EMBL Advanced Training Centre in Heidelberg, Germany, on June 25, 2015.

To hear an interview with prize winner Thomas, listen here.

2014 Winner

The independent Eppendorf Award Jury chaired by Prof. Reinhard Jahn selected Madeline Lancaster, Ph.D., of the Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna, Austria, as the 2014 winner of the Eppendorf Award for Young European Investigators. Madeline Lancaster, born 1982, receives the € 15,000 research prize for her work showing that complex neuronal tissues resembling early states of fetal human brain can be created in vitro from pluripotent stem cells. Madeline talks about her work in this Award Feature

To hear an interview with prize winner Madeline, listen here or watch the video from the award ceremony.

2013 Winner

The independent Eppendorf Award Jury chaired by Prof. Reinhard Jahn selected Ben Lehner, Ph.D., of the Centre de Regulació Genòmica, Barcelona, Spain, as the 2013 winner of the Eppendorf Award for Young European Investigators. Ben, born 1978, receives the € 15,000 research prize for his discoveries concerning the fundamental question why mutations in the genome result in variable phenotypes. Ben talks about his work in this Award Feature.

To hear an interview with prize winner Ben, listen here or watch the video from the award ceremony.

2012 Winner

The 2012 prize was awarded to Elizabeth Murchison, Ph.D. (Wellcome Trust Sanger Institute, Cambridge, United Kingdom) for her discoveries concerning a deadly cancer that is spreading among the endemic population of Tasmanian devils in Tasmania and threatening the survival of the species. Elizabeth talks about her work in this Award Feature.

To hear an interview with prize winner Elizabeth, listen here or watch the video from the award ceremony in Heidelberg.

2011 Winner

The 2011 Eppendorf Young European Investigator Award goes to Suzan Rooijakkers for her contribution to discovering how Staphylococcus aureus evades immune attack. Suzan talks about her work on this Award Feature.

To hear an interview with prize winner Suzan, listen here.

Listen here to the podcast from the award ceremony in Heidelberg.

2009 Winner

In 2009 the prize was awarded to Óscar Fernández-Capetillo, head of the Genomic Instability Group at the Spanish National Cancer Center. Read the highlights of his interview with Nature in this Award Feature.

Listen here to learn about the impact the Award had on his career.

2008 Winner

The 2008 prize was awarded to Dr. Simon Boulton of the London Research Institute. Read the highlights of his interview with Nature in this Award Feature.

Listen here to learn about the impact the Award had on his career.

2007 Winner

Dr Mónica Bettencourt-Dias is the 2007 winner of the Eppendorf Young European Investigator Award. Monica gives a personal account of her research and the Eppendorf Award in an Award Feature forNature.

Listen here to learn more about the impact the award had on her career.

2006 Winner

Dr Luca Scorrano won the award in 2006. Read more about his research on the Eppendorf Young Investigator website.

Listen here to learn more about Dr Scorrano’s work and the impact the award has had on his career.

http://www.nature.com/multimedia/podcast/eppendorf/eppendorf-podcast-15.mp3   2015

https://www.youtube.com/watch?feature=player_embedded&v=N3SXLURTI_w   2014

https://www.youtube.com/watch?feature=player_embedded&v=ntU_Ve3x6oI     2013

https://www.youtube.com/watch?feature=player_embedded&v=E2mhX9ccEHs    2012

http://media.nature.com/download/nature/nature/podcast/eppendorf/eppendorf_2011_winner.mp3

http://media.nature.com/download/nature/nature/podcast/eppendorf/eppendorf_2011.mp3

http://media.nature.com/download/nature/nature/podcast/eppendorf/eppendorf_2010.mp3

http://media.nature.com/download/nature/nature/podcast/eppendorf/eppendorf-2009.mp3

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McEwen Award for Innovation: Irving Weissman, M.D., Stanford School of Medicine, and Hans Clevers, M.D., Ph.D., Hubrecht Institute

Larry H. Bernstein, MD, FCAP, Curator
Leaders in Pharmaceutical Innovation

Series E. 2; 7.3

Past winners include Azim Surani, James Thomson, Rudolf Jaenisch and Kazutoshi Takahashi with Shinya Yamanaka

The International Society for Stem Cell Research (ISSCR) has presented EuroStemCell partner Hans Clevers with the McEwen Award for Innovation at the opening of its annual meeting, today (24 June) in Stockholm, Sweden.

The prizes awarded by ISSCR in 2015 are:

McEwen Award for Innovation: Irving Weissman, M.D., Stanford School of Medicine, and Hans Clevers, M.D., Ph.D., Hubrecht Institute

ISSCR-BD Biosciences Outstanding Young Investigator Award: Paul Tesar, Ph.D., Case Western Reserve University School of Medicine

ISSCR Public Service Award: Alan Trounson, Ph.D., MIMR-PHI Institute of Medical Research

 

In 2015, the ISSCR recognizes long-standing contributors to the field, Weissman and Clevers, for the identification, prospective purification and characterization of somatic (adult) tissue-associated stem cells and advancement of their research findings toward clinical applications.

Award recipient Weissman’s many discoveries have helped map the direction of the stem cell field and have served as the basis for important research and work by scientists all over the world.  He was the first to isolate and characterize hematopoietic (blood) stem cells from mice and humans. He developed the approaches and technologies, now widely used within the field, for isolating blood stem and progenitor cells and defining their properties. Weissman pioneered the extension of his approaches to isolation of other stem cell types, including human nervous system cells and skeletal muscle myogenic stem/progenitor cells. Further, he discovered several independent leukemia stem cells and, more recently, bladder cancer stem cells, head and neck cancer stem cells and malignant melanoma stem cells. Weissman has pursued these discoveries to develop several promising means of cancer therapy.

Award recipient Clevers has been a leader in biomedical sciences and the area of Wnt signaling in colon cancer for more than three decades. He and his lab developed tools to identify and track an adult stem cell population able to give rise to the entire lining of the gut and later to demonstrate that these cells can be isolated and grown in culture as “miniguts,” recapitulating the normal structure and function of the gut. These discoveries are a move toward promising therapies for colon conditions, like ulcers, in which the lining of the intestine has been destroyed in patches, and provide a powerful resource for modeling disease pathology and for drug screening.

“Irv Weissman and Hans Clevers have made enormous contributions to stem cell science. Working in the blood and gut systems, respectively, and extending their findings in different tissues, they have defined the concepts and technologies that underpin many avenues of research,” Hans Schöler, chair of the ISSCR’s McEwen Awards selection committee, said. “Each has made pioneering conceptual advances in disease modeling and regenerative medicine.”

 

The ISSCR-BD Biosciences Outstanding Young Investigator Award recognizes exceptional achievements by an ISSCR member and investigator in the early part of their independent career in stem cell research.  The winner receives a $7,500 USD personal award and is invited to present at the ISSCR’s annual meeting. Past winners include Valentina Greco, Marius Wernig, Cédric Blanpain, Robert Blelloch, Joanna Wysocka and Konrad Hochedlinger.

Award recipient Tesar established his independent laboratory five years ago and has rapidly risen to his current position as the Dr. Donald and Ruth Weber Goodman Professor of Innovative Therapeutics and tenured Associate Professor in the Department of Genetics and Genome Sciences at Case Western Reserve University School of Medicine. Tesar’s studies have shaped the global understanding of both pluripotent stem cell and oligodendrocyte biology. His seminal and highly cited report on epiblast stem cells, published in Nature in 2007, along with similar findings by Pedersen, Vallier and colleagues, led to a complete shift in the understanding of how pluripotency is regulated in the mammalian embryo.  He has continued to provide high impact contributions to the field, pioneering new methods to generate and mature oligodendrocyte progenitor cells, and to use these to enhance repair in animal models of multiple sclerosis.

Stanford stem cell pioneer Irving Weissman wins international honors

by Krista Conger on Feb 10, 2015
http://news.stanford.edu/thedish/2015/02/10/stanford-stem-cell-pioneer-irving-weissman-wins-international-honors/

IRVING WEISSMAN, a professor of pathology and of developmental biology at Stanford Medical School, was recently awarded the Charles Rodolphe Brupbacher Prize for Cancer Research in Zurich.

Weissman, who directs the Stanford Institute for Stem Cell Biology and Regenerative Medicine, was honored for his role in identifying and isolating the first hematopoetic, or blood-forming, stem cell in mice in 1988, and then in humans in 1992. In 2000, he also isolated leukemia cancer stem cells from humans. Recently, he and his colleagues have devoted themselves to understanding how cancer cells escape destruction by the immune system by expressing a “don’t eat me” signal on their cell membranes.

“His discoveries on aging processes in stem-cell systems and ultimately his contribution toward understanding cancer stem cells and the way in which the immune system can control these cells are pioneering achievements with far-reaching clinical implications,” Markus Manz, director of the Department of Hematology at the University Hospital Zurich, said of Weissman at a symposium titled “Breakthroughs in Cancer Research and Therapy” where the prize was announced.

Weissman also is the director of Stanford’s Ludwig Center for Cancer Stem Cell Research and Medicine and holds the Virginia and Daniel K. Ludwig Professorship in Clinical Investigation in Cancer Research.

The prize, presented by the Charles Rodolphe Brupbacher Foundation, included 100,000 Swiss francs, or about $108,000.

The Charles Rodolphe Brupbacher Foundation was founded in 1991 by Brupbacher’s wife, Frederique, in honor of her late husband. This is the 12th time the prize, which is meant to recognize internationally acknowledged achievements in fundamental cancer research, has been awarded. Brupbacher was a Swiss banker, economist and international currency expert.

In addition to the Brupbacher Prize, it was recently announced that Weissman will receive theMcEwen Award for Innovation, supported by the McEwen Centre for Regenerative Medicine in Toronto. The award will be presented in June at the annual meeting of the International Society for Stem Cell Research in Stockholm. It recognizes the work of Weissman and Hans Clevers, of the Hubrecht Institute in the Netherlands, in the identification, purification and characterization of adult stem cells from a variety of human tissues and cancers. Weissman and Clevers will share a $100,000 award.

Anti-CD47 antibody may offer new route to successful cancer vaccination

Scientists at the School of Medicine have shown that their previously identified therapeutic approach to fight cancer via immune cells called macrophages also prompts the disease-fighting killer T cells to attack the cancer.

The research, published online May 20 in the Proceedings of the National Academy of Sciences, demonstrates that the approach may be a promising strategy for creating custom cancer vaccines.

Various researchers have been working over the years to create vaccines against cancer, but the resulting vaccines have not been highly effective. Current approaches to developing the vaccines rely on using immune cells called dendritic cells to introduce cancer protein fragments to T cells — a process known as antigen presentation. The hope has been that the process would stimulate the body’s T cells to identify cancer cells as diseased or damaged and target them for elimination. However, this process often only modestly activates the most potent cancer-fighting kind of T cell, called killer T cells or CD8+ T cells.

The Stanford team discovered that there was another viable vaccine approach, using the macrophage pathway to program killer T cells against cancer. Irving Weissman, MD, professor of pathology and of developmental biology, and his team previously showed that nearly all cancers use the molecule CD47 as a “don’t-eat-me” signal to escape from being eaten and eliminated by macrophages. The researchers found that anti-CD47 antibodies, which can block the “don’t-eat-me” signal and enable macrophages to engulf cancer cells, eliminated or inhibited the growth of various blood cancers and solid tumors.

In the new study, the Stanford team showed that after engulfing the cancer cells, the macrophages presented pieces of the cancer to CD8+ T cells, which, in addition to attacking cancer, are also potent attackers of virally infected or damaged cells. As a result, the CD8+ T cells were activated to attack the cancer cells on their own. “It was completely unexpected that CD8+ T cells would be mobilized when macrophages engulfed the cancer cells in the presence of CD47-blocking antibodies,” said MD/PhD student Diane Tseng, the lead author of the study. Following engulfment of cancer cells, macrophages activate T cells to mobilize their own immune attack against cancer, she said.

The Stanford group plans to start human clinical trials of the anti-CD47 cancer therapy in 2014. The new research provides hope that the therapy will cause the immune system to wage a two-pronged attack on cancer — through both macrophages and T cells. The approach may also give physicians early indicators of how the treatment is working in patients. “Monitoring T-cell parameters in patients receiving anti-CD47 antibody may help us identify the immunological signatures that tell us whether patients are responding to therapy,” said co-author Jens Volkmer, MD, an instructor at the Stanford Institute for Stem Cell Biology and Regenerative Medicine.

The research revives interest in an aspect of macrophages that has been neglected for decades: their role in presenting antigens to T cells. For many years, researchers have focused on the dendritic cell as the main antigen-presenting cell, and have generally believed that macrophages specialize in degrading antigens rather presenting them. This research shows that macrophages can be effective at antigen presentation and are powerful initiators of the CD8+T cell response.

The fact that T cells become involved in fighting cancer as a result of CD47-blocking antibody therapy could have important clinical implications. The antibody might be used as a personalized cancer vaccine allowing T cells to recognize the unique molecular markers on an individual patient’s cancer. “Because T cells are sensitized to attack a patient’s particular cancer, the administration of CD47-blocking antibodies in a sense could act as a personalized vaccination against that cancer,” Tseng added.

Weissman, who is senior author of the new study, is the director of the Stanford Institute for Stem Cell Biology and Regenerative Medicine and the director of the Stanford Ludwig Center for Cancer Stem Cell Research and Medicine.

Other Stanford investigators involved in the research were senior scientist Stephen Willingham, PhD; postdoctoral scholars John Fathman, PhD, Nathaniel Fernhoff, PhD, Matthew Inlay, PhD, and Masanori Miyanishi, MD, PhD; instructor Jun Seita, MD, PhD; graduate student Kipp Weisskopf, MPhil; and life sciences research associate Humberto Contreras-Trujillo.

The research was supported by the Virginia and D.K. Ludwig Fund for Cancer Research, the Joseph and Laurie Lacob Gynecologic/Ovarian Cancer Fund, the National Institutes of Health (grants R01CA86017, P01CA139490, P30CA124435 and F30CA168059), and the Student Training and Research in Tumor Immunology Program of the Cancer Research Institute.

Christopher Vaughan is communications manager at the Stanford Institute for Stem Cell Biology and Regenerative Medicine.

 

Clinical Investigation of a Humanized Anti-CD47 Antibody in Targeting Cancer Stem Cells in Hematologic Malignancies and Solid Tumors

Funding Type:

Disease Team Therapy Development III

Grant Number: DR3-06965

Investigator(s): Irving Weissman – PI

Institution: Stanford University

Disease Focus:
Cancer
Solid Tumor
Blood Cancer

Most normal tissues are maintained by a small number of stem cells that can both self-renew to maintain stem cell numbers, and also give rise to progenitors that make mature cells. We have shown that normal stem cells can accumulate mutations that cause progenitors to self-renew out of control, forming cancer stem cells (CSC). CSC make tumors composed of cancer cells, which are more sensitive to cancer drugs and radiation than the CSC. As a result, some CSC survive therapy, and grow and spread. We sought to find therapies that include all CSC as targets. We found that all cancers and their CSC protect themselves by expressing a ‘don’t eat me’ signal, called CD47, that prevents the innate immune system macrophages from eating and killing them. We have developed a novel therapy (anti-CD47 blocking antibody) that enables macrophages to eliminate both the CSC and the tumors they produce. This anti-CD47 antibody eliminates human cancer stem cells when patient cancers are grown in mice. At the time of funding of this proposal, we will have fulfilled FDA requirements to take this antibody into clinical trials, showing in animal models that the antibody is safe and well-tolerated, and that we can manufacture it to FDA specifications for administration to humans.

Here, we propose the initial clinical investigation of the anti-CD47 antibody with parallel first-in-human Phase 1 clinical trials in patients with either Acute Myelogenous Leukemia (AML) or separately a diversity of solid tumors, who are no longer candidates for conventional therapies or for whom there are no further standard therapies. The primary objectives of our Phase I clinical trials are to assess the safety and tolerability of anti-CD47 antibody. The trials are designed to determine the maximum tolerated dose and optimal dosing regimen of anti-CD47 antibody given to up to 42 patients with AML and up to 70 patients with solid tumors. While patients will be clinically evaluated for halting of disease progression, such clinical responses are rare in Phase I trials due to the advanced illness and small numbers of patients, and because it is not known how to optimally administer the antibody. Subsequent progression to Phase II clinical trials will involve administration of an optimal dosing regimen to larger numbers of patients. These Phase II trials will be critical for evaluating the ability of anti-CD47 antibody to either delay disease progression or cause clinical responses, including complete remission. In addition to its use as a stand-alone therapy, anti-CD47 antibody has shown promise in preclinical cancer models in combination with approved anti-cancer therapeutics to dramatically eradicate disease. Thus, our future clinical plans include testing anti-CD47 antibody in Phase IB studies with currently approved cancer therapeutics that produce partial responses. Ultimately, we hope anti-CD47 antibody therapy will provide durable clinical responses in the absence of significant toxicity.

New insights into the biology of cancer have provided a potential explanation for the challenge of treating cancer. An increasing number of scientific studies suggest that cancer is initiated and maintained by a small number of cancer stem cells that are relatively resistant to current treatment approaches. Cancer stem cells have the unique properties of continuous propagation, and the ability to give rise to all cell types found in that particular cancer. Such cells are proposed to persist in tumors as a distinct population, and because of their increased ability to survive existing anti-cancer therapies, they regenerate the tumor and cause relapse and metastasis. Cancer stem cells and their progeny produce a cell surface ‘invisibility cloak’ called CD47, a ‘don’t eat me signal’ for cells of the native immune system to counterbalance ‘eat me’ signals which appear during cancer development. Our anti-CD47 antibody counters the ‘cloak’, enabling the patient’s natural immune system to eliminate the cancer stem cells and cancer cells. Our preclinical data provide compelling support that anti-CD47 antibody might be a treatment strategy for many different cancer types, including breast, bladder, colon, ovarian, glioblastoma, leiomyosarcoma, squamous cell carcinoma, multiple myeloma, lymphoma, and acute myelogenous leukemia.

Development of specific therapies that target all cancer stem cells is necessary to achieve improved outcomes, especially for sufferers of metastatic disease. We hope our clinical trials proposed in this grant will indicate that anti-CD47 antibody is a safe and highly effective anti-ancer therapy that offers patients in California and throughout the world the possibility of increased survival and even complete cure.

We have previously developed a new therapeutic candidate, the anti-CD47 humanized antibody, Hu5F9-G4, which demonstrates potent anti-cancer activity in animal models of malignancy. The goal of CIRM DTIII Grant DR3-06965 is to conduct initial phase I clinical trials of this antibody in advanced cancer patients. We originally proposed to conduct two separate Phase I clinical trials: one in solid tumor patients with advanced malignancy (commenced in August 2014), the other in relapsed, refractory AML patients (anticipated to start in September 2015). The primary endpoints for these trials will be to assess safety and tolerability, and additional endpoints include obtaining information about the dosing regimen for subsequent clinical investigations, and initial efficacy assessments.

CD47 is a dominant anti-phagocytosis signal that is expressed on all types of human cancers assessed thus far. It binds to SIRPα, an inhibitory receptor on macrophages, and in so doing, blocks the ability of macrophages to engulf and eliminate cancer cells. Hu5F9-G4 blocks binding of CD47 to SIRPα, and restores the ability of macrophages to engulf or phagocytose cancer cells. In pre-clinical cancer models, treatment with Hu5F9-G4 shrunk tumors, eliminated metastases, and in some cases resulted in long-term protection from cancer recurrence. These results suggest that Hu5F9-G4 leads to elimination of cancer stem cells in addition to differentiated cancer cells.

We have developed Hu5F9-G4 for human clinical trials by demonstrating safety and tolerability in pre-clinical toxicology studies. These studies also indicated that we can achieve serum levels associated with potent efficacy in pre-clinical models. The regulatory agencies (FDA in the U.S., and MHRA in the U.K.) reviewed the large package of pre-clinical data describing Hu5F9-G4, and approved our requests to commence separate Phase I clinical trials in solid tumor and AML patients. The solid tumor trial commenced at Stanford in August 2014 and has been designed to assess patients in separate groups, or cohorts, treated with increasing doses of Hu5F9-G4. The trial is ongoing as primary endpoints have not been met. The acute myeloid leukemia trial has been given regulatory approval in the U.K., and will start enrolling patients in September 2015. In summary, during the last year, the Hu5F9-G4 clinical trials have made substantial progress and all milestones have been met.

Stem Cell Research: Promise and Progress

Hans Clevers: “Every day new research is showing us that many types of cancers are fed by tumour stem cells”

http://www.irbbarcelona.org/en/news/hans-clevers-every-day-new-research-is-showing-us-that-many-types-of-cancers-are-fed-by-tumour

The biggest challenge in designing new cancer therapies lies in successfully identifying and targeting tumour stem cells, which are responsible for the regrowth of the tumour.

The Barcelona BioMed Conference on “Normal and Tumour Stem Cells”, aims to analyze the function of stem cells in cancer. The conference, which begins today and runs until November 14 at the Institut d’Estudis Catalans, is co-organized by colon cancer research experts Eduard Batlle (IRB Barcelona) andHans Clevers (Hubrecht Institute, the Netherlands), with the support of the BBVA Foundation. During the three-day event, 21 world experts in the field will meet with a further 130 participants to share their latest research findings on tumour stem cells.

“In 2007 we held the first Barcelona BioMed Conference on this topic. At the time there was only very preliminary data on the relationship between stem cells and cancer. Five years on, many convincing data have emerged to indicate that the majority of tumours are indeed fed by tumour stem cells,” explains Hans Clevers, the scientist who first identified stem cells in the intestine and who today is one of the world leaders in research on normal stem cells and their potential for regenerative therapy.

A number of important studies have demonstrated that at the heart of cancers of the breast, colon, skin, brain, lung and leukemias lie a small group of malignant cells that have retained the properties of the stem cell that gave rise to the cancers in the first place. It is these cells that allow the tumour to grow and can regenerate it. The efforts of many research groups worldwide now focusses on unraveling this process, identifying the specific genes that allow it to occur, and finding ways to detect and eliminate these malignant stem cells.

Stem cells and the origin of tumours

One of the principal characteristics of stem cells is that they are able to copy themselves indefinitely, giving rise to one stem cell and one specialized cell. This capacity for unlimited replication ensures the constant renewal of healthy tissues, which is fundamental for survival and is the basis of regenerative medicine. When the stem cells undergo cancerous mutations or when normal tumour cells acquire stem cell properties, however, this can lead to the formation of tumours.

“This conference gives us a valuable opportunity to learn about the latest work on the two types of stem cells, normal and tumour, in different tissues. What we have been observing over recent years is that the tumour mimcs the hierarchies that exist in normal tissues. In order to understand the tumour, we need to understand the healthy tissue. Most of the scientists invited to the conference are working on both aspects,” explains Batlle. The list of speakers includes pioneers in the field, such as Irving L. Weissman, director of the Institute for Stem Cell Biology & Regenerative Medicine in Stanford, California. Weissman, known as the “father of haematopoiesis”, first identified stem cells in the blood and determined how they give rise to the different types of blood cells, making major contributions to our understanding of leukemias and other ‘liquid’ tumours.

Stem cells and metastasis

In addition to being at the root of the tumour and allowing it to grow, stem cells may also cause metastasis. In order for metastasis to occur, cells from the original tumour must escape into the blood stream and invade new organs to seed new tumours there. “Only cells with stem cell properties are able to make this happen, since they are the only type of cell that can generate all the cell types of the tumor,” explains Batlle. But in order to cause metastasis, these cells also need to be able to do other things. “We have discovered that in the case of colon cancer, stem cells must be able to trick the healthy tissue of the organ they have invaded into helping them survive in this hostile environment.” Batlle’s study, to be published tomorrow inCancer Cell, will be presented during the conference. This is the first piece of work to reveal a key role for the tumour microenvironment in fostering the process of metastasis, a discovery which will open doors to similar findings in other types of tumours.

Normal stem cells vs. tumour stem cells

One of the keys in the fight against cancer is the ability to identify tumour stem cells and differentiate them from healthy stem cells. The conference co-organizers maintain that “this is still a central question. We don’t yet know enough about normal stem cells, and technical issues make things difficult. We are making rapid progress, however, and in the next few years we expect to be able to make great strides both in figuring out the similarities and differences in the two types of cells, and in coming up with new strategies to fight the growth and spread of tumours.”

PROFILES OF CONFERENCE CO-ORGANIZERS

EDUARD BATLLE – Group Leader of the Colorectal Cancer Laboratory and Coordinator of the Oncology Programme at IRB Barcelona. ICREA Research Professor (Instituto Catalán para la Investigación y Estudios Avanzados).

Dr. Batlle’s research over the past decade has focused on the characterization of the mechanisms that cause the initiation, progression and metastasis of colon cancer. He has published studies in several high-impact journals such as Cell, Nature, Nature Genetics and Cancer Cell. His achievements include the discovery of the transcription factor Snail in tumour cells and the elucidation of the function of EphB membrane receptors in colorrectal cancer. During the Barcelona BioMed Conference, Dr. Batlle will present the results of a study to be published in Cancer Cell on a process indispensable for colon cancer metastasis.

Among his recognitions, Batlle has received the Banc Sabadell Prize for Biomedical Research (2010) and the “Debiopharm Life Sciences Award for Outstanding Research in Oncology” given by the Ecole Polytechnique Fédérale de Lausanne in Switzerland (2006). He is the recipient of an ERC Starting Grant awarded by the European Research Council in 2007.

 

HANS CLEVERS – Group leader at the Hubrecht Institute (director 2002-2012 ) and President of the Royal Netherlands Academy of Arts and Sciences. Dr. Clevers was the first scientist to identify intestinal stem cells and remains one of the leading researchers in this field. His discoveries have had significant impact in cancer as well as in regenerative therapy with stem cells and in vitro organ culture. Clevers’ work in developmental biology and cancer led him to discover the beta-catenin/Tcf4 transcriptional complex, which causes the majority of colorrectal cancer.

http://apoorvamandavilli.com/wp-content/uploads/2010/10/2010stem-cells-and-cancer.pdf

 

In 1991 Clevers became a professor of immunology at the University Medical Center in Utrecht. Since 2002 he has been a professor of molecular genetics at UMC Utrecht. Also in 2002 he became director of the Hubrecht Institute for Developmental Biology and Stem-Cell Research at the Royal Dutch Academy of Sciences, where until May 2012 he led the WNT Signaling and Cancer research group and was project leader of the Netherlands Proteomics Centre and Cancer Genomics Centre. Clevers discovered similarities between the normal renewal of intestinal tissue and the onset of colon cancer. In 2007 he received a grant of two million euros from the KWF Cancer Society to study the function of stem cells in the normal intestines and in colon cancer, and in 2008 he received an ERC Advanced Investigator Grant. In March 2012, Clevers, who since 2000 had been a member of the Royal Netherlands Academy of Arts and Sciences, was elected its president, a position he assumed on June 1 of that year, succeeding Robbert Dijkgraaf. In connection with his election to this position, he resigned from the Hubrecht Institute and began to carry out research two days a week at the UMC-U.[4][5][6][7][9]

Asked in a 2008 interview what had been the highlights of his research up to that point, Clevers said “there would probably be three. There was a first one, when I just started my lab, within the first few months we cloned the gene that they call TCF1, t-cell factor 1, I used to be a t-cell embryologist when we first started out. And that paper was published in EMBO in ’91, first author. So in that paper we described cloning of this vector, which at that time maybe on the world scale was not great but for my own lab to clone this gene was my first thing I ever did alone. This gene then in ’96 we found to be the crucial missing component of what’s called the Wnt signaling pathway, and this [was] generally seen as a major breakthrough we had. There were papers in ’96 and ’97 in Cell, and we had two papers in Science in the same two years.”

Clevers and his team thus showed that “there is that this TCF transcription factor, there is a small family of them, they occur in every animal on the planet, they are the end point of the signal transcription cascade, and they control virtually every decision in a developing animal. When we realized this we started changing our model systems, we used to work on lymphocytes, and we changed it, first to frogs and flies, drosophila, where the Wnt pathway had been studied by many other people that way we could use assays of those people. We then realized that in mammals Wnt signaling…was not only important in embryos but also crucial in adults, which is novel. And we switched to the gut, we found that one of our knockouts, the TCF4 knockout, one of the four members of that family had no stem cells in the gut. And this is the first link in the literature, this was also a ’97 paper in Nature Genetics, between Wnt signaling and stem cells in adults. And in that same year we found that colon cancer comes about by the disregulation of TCF4, and those two phenomena are really linked. So stem cells need TCF4, cancers disregulate TCF4 by mutating a gene upstream in that pathway called APC.”

After this Clevers’s team “continued to work on the intestine and on the physiology of the intestine, which was essentially an unstudied field, much to my surprise. May I emphasize, there are thousands of very competent embryologists, and they work on tiny details, and they fight over the smallest details, are extremely competent. In this intestinal field there are thousands of gastroentromologists that study cancer or colitis or Crohn’s Disease, but there are very few, if any, labs studying normal tissue, which is amazing because that is a tissue that we use every five days. It’s the most rapidly proliferating tissue in a normal body. So my lab actually build up a lot of mouse models and we learn a lot about how that’s being done, and then finally…last year we finally identified the stem cells in the gut. And we now can purify them in large numbers and study their characteristics.”[4]

A recent posting at the website of the Royal Netherlands Academy of Arts and Sciences provides a capsule summary of Clevers’s research to date: “His research deals with the intestine, in both its healthy and diseased state. He has discovered that there are numerous similarities between the normal process whereby intestinal tissue is renewed and the development of intestinal cancer. Improved understanding of these processes is crucial to developing new ways of treating cancer. Hans Clevers has described the molecular signalling pathways that are disrupted by cancer and has identified a protein that is specific to stem cells in the intestine. He has then been able to grow ‘mini-intestines’ from individual stem cells. These are the first steps on the road to regenerative medicine, in this case the regeneration of intestinal tissue.”[7]

Q&A: Hans Clevers

Eric Bender

Nature 521, S15 (14 May 2015) http://dx.doi.org://10.1038/521S15a

n 2009, Hans Clevers and Toshiro Sato (then a postdoc in Clevers’ lab) demonstrated a powerful new model to study development and disease: a three-dimensional ‘organoid’ derived from adult stem cells that replicates the structure of cells lining the intestine. More than 100 labs worldwide are now working with different types of organoid to study cancer and other diseases. Clevers, at the Hubrecht Institute in Utrecht, the Netherlands, discusses the potential of this approach.

Why might it be better to screen drugs in organoids rather than in cell lines?

We don’t currently understand why certain tumours are sensitive or resistant to particular drugs. With targeted therapies, you can make a prediction, but for classical chemotherapy drugs, such as cisplatin or 5-fluorouracil, it is totally unpredictable which tumours will respond. Tumours can be sequenced in great detail, but drugs against them cannot be tested effectively other than in clinical trials. Organoids are a very good genetic representation of the tumour, so they let us bridge the gap between deep-sequencing efforts and patient outcomes.

How do you see organoids contributing to the study of colorectal cancer?

We are collaborating with groups at the Broad Institute in Cambridge, Massachusetts, and the Sanger Institute in Hinxton, UK, to build a biobank of organoids from 20 or so people with colon cancer. We have organoids of the cancer and of normal cells from individual patients, as well as sequences of their protein-coding genes. We have established the non-profit Hubrecht Organoid Technology (HUB) to expand our organoid biobanks. The HUB shares these biobanks with academic groups around the world, and now works with about 15 companies on drug-development programmes. We can culture tumours from almost every person with colon cancer, sequence them and test them against drugs. Additionally, we can use research techniques that have been developed for cell lines, such as genetic tools, fluorescence-activated cell sorting and microarrays.

Is this research moving towards clinical trials?

Yes, my group and the HUB are collaborating with Emile Voest at the Netherlands Cancer Institute in Amsterdam on an observational trial. We already have some organoid models from people with colon cancer who receive chemotherapy. The organoids are screened against a panel of common colon-cancer drugs. The patients will be treated the same way the oncologists would normally treat them, but we’ll see if we could have predicted the response from our organoids. We’re also starting another trial in which we will enrol advanced-colon-cancer patients, for whom there is no standard treatment. We will make organoids, test drug sensitivity and resistance, and then advise the oncologists as to what drug to use for that particular patient. We will be looking at multiple drugs, so we need large numbers of patients — that’s the only way we will be able to produce enough data to help us match drugs to tumour types.

To benefit individual patients, won’t you need to test the drugs very quickly?

Yes — and that’s really where we want to take this technology. When you have pneumonia, your bacterial cultures are tested and you get answers in three days. With this technology, we can tell the oncologist the best odds for a combination of therapeutics, maybe not in three days, but in several weeks. We have an organoid-based test in cystic fibrosis that gives us a result in about two weeks.

How does the organoid approach differ from patient-derived xenografts, in which patients’ tumours are transplanted into immune-suppressed mice for testing drugs?

It’s the same principle — you get a functional readout of the patient’s tumour. But organoids can be tested against an unlimited amount of compounds and combinations. Furthermore, in contrast to xenografts, organoids can be established from almost all patients.

What are some of the next steps in your cancer research?

Organoids model the key component of the tumour but they lack some important elements. We want to combine organoids with other elements to make more-complete tools. For instance, we would like to introduce the immune system so that we can study the effects of the fantastic new immunotherapy drugs. We think that we can build it up in a reductionist way — take lymphocytes isolated from a tumour, bring these together with cancer organoids derived from the same tumour and watch what happens. And maybe we can also put microorganisms in these organoids. For example, we could add Helicobacter, a major cause of stomach cancer, to stomach organoids.

Can organoids also help to test drug combinations?

Yes, tumours are genetically heterogeneous, and there can be vast differences in drug sensitivity between clones for the same tumour. We can possibly advance sequence-based therapy by testing millions of drug combinations in organoids.

Single Lgr5 stem cells build crypt–villus structures in vitro without a mesenchymal niche

Toshiro Sato1, Robert G. Vries1, Hugo J. Snippert1, Marc van de Wetering1, Nick Barker1, Daniel E. Stange1, Johan H. van Es1, Arie Abo2, Pekka Kujala3, Peter J. Peters3 & Hans Clevers1
Nature 459, 262-265 (14 May 2009) |   http://dx.doi.org:/10.1038/nature07935    Received 16 July 2008; Accepted 24 February 2009

The intestinal epithelium is the most rapidly self-renewing tissue in adult mammals. We have recently demonstrated the presence of about six cycling Lgr5+ stem cells at the bottoms of small-intestinal crypts1. Here we describe the establishment of long-term culture conditions under which single crypts undergo multiple crypt fission events, while simultanously generating villus-like epithelial domains in which all differentiated cell types are present. Single sorted Lgr5+ stem cells can also initiate these crypt–villus organoids. Tracing experiments indicate that the Lgr5+ stem-cell hierarchy is maintained in organoids. We conclude that intestinal crypt–villus units are self-organizing structures, which can be built from a single stem cell in the absence of a non-epithelial cellular niche.

  • A Model for Life
Dis. Model. Mech. September 2013, doi: 10.1242/dmm.013367 vol. 6 no. 5 1053-1056

A gutsy approach to stem cells and signalling: an interview with Hans Clevers

Hans Clevers, Professor of Molecular Genetics at Utrecht University, began his career in immunology and developmental biology, but a shift towards intestinal research in the late 1990s led to his group’s pioneering discovery that Lgr5 is a marker of tissue stem cells – a finding that paved the way for a cascade of key insights into the molecular signalling pathways that are dysregulated in cancer. Interviewed here by Ross Cagan, Editor-in-Chief of Disease Models & Mechanisms, Hans recalls the mentors and discoveries that motivated his transition from basic to applied science, discusses his style of lab management and mentorship, and highlights the potential of organoid-based therapy for personalised medicine.

Johannes (Hans) Clevers was born in 1957 in Eindhoven, home to Philips Electronics, in the south of The Netherlands. From a young age he showed enthusiasm and a natural talent for science, and as an undergraduate became fascinated with molecular biology. He obtained his PhD in immunology from Utrecht University during the mid-1980s, and simultaneously studied medicine. Making the pivotal decision to move back into the lab after completing his clinical training, he undertook postdoctoral research in Cox Terhorst’s lab at the Dana-Farber Cancer Institute at Harvard University. He then returned to Utrecht to set up his own lab, and was a Professor of Immunology at the university between 1991 and 2002. From 2002 to 2012 he was Director of the nearby Hubrecht Institute for Stem Cell Research. During this time, Hans moved gradually into the gastroenterology field, and made groundbreaking discoveries regarding the role of Wnt signalling in stem cells and colon cancer. His unique contributions to cancer, stem cell research and regenerative medicine have been recognised in the form of numerous awards, and in 2013 he was one of the eleven winners of a $3 million award from the Breakthrough Prize in Life Sciences Foundation. Currently, he is Professor of Molecular Genetics at Utrecht University, and is also President of the Royal Netherlands Academy of Arts and Sciences (KNAW). Hans has also been involved in setting up several biotechnology companies.

Before we get to your background, I want to congratulate you on being, unsurprisingly, one of the Breakthrough Prize award winners. You have a long list of prizes now – is it something you’ve gotten used to?

This last one was unusual for me – prior to the Breakthrough award I had only ever received one American prize and that was in gastroenterology. To be the only researcher in Europe awarded, and to see my name on the list together with people like Robert Weinberg and Bert Vogelstein, who were the big shots when I was a postdoc, was a truly great honour. I went to the ceremony for the physics prize in Geneva, and it was like being at the Oscars – very surreal, as a scientist.

The first thing I did when I found out about my award was to invite the current and previous members of my lab to a huge party in Amsterdam, which will take place in September [2013]. There will be around 100 attendees – most of which are still in science. There will be good food and drink, stand-up comedy, and a small symposium.

Taking a step back into your past, why did you choose a career in science and medicine?

My high school system was very geared towards languages. I started learning biology at university in 1975 at the age of 18, and I was disappointed. Molecular biology was being developed in England, Switzerland and the US, but in Dutch universities there was no legal framework to do this, and so the courses – where available – focused only on technical details. Biology in general lacked charisma. At the time, my friends and brothers were junior medics, and as I had an interest in medicine I decided to take it on in addition to biology. I ended up spending a year in Nairobi and half a year at NIH for my biology rotations, and essentially I never went to any lectures (although this is something I never tell my students!). Anyway, I really started getting sucked into the clinical training, and found that working in a clinical environment is much more sociable than being in a lab. You’re part of a big organisation and there are lots of people to talk to, whereas in the lab there are only a few people, and small issues – such as somebody not cleaning up – can really cause friction. After medical school, I was picked, mainly because of my research background, for a training position in paediatrics. They suggested that I should start work for a PhD, so I went back into the lab. That’s when I realised that, despite the social attractiveness of working in a hospital, I was much more of a scientist than a doctor. I got my PhD – together with four published papers – in just 1 year. However, it was during my first postdoc position in Boston that I think I was really exposed to science for the first time. It was tough, but I knew I’d made the right decision.

Are there particular mentors who influenced your decision to choose the lab over clinics, and shaped your career moves?

When I received the Heineken Prize from the Royal Netherlands Academy of Arts and Sciences in 2012, I had to think deeply about my mentors and realised that there were two that I had almost forgotten. The first was my high school chemistry teacher, who sold laboratory chemicals to students from his home, during the evenings (in a well-regulated way). I had built a small lab in the attic of my parents’ house and I really had fun mixing things together and doing all the experiments that are possible to do at home. Because of this chemistry teacher, I learned the joy of being in a lab.

The second crucial mentor was my thesis advisor, who didn’t supervise me very much but did give me key advice that has stayed with me until now. He taught me that it’s important to trust everybody you work with, at least until they show you that they can’t be trusted. I emphasize this in my own lab – I encourage my students and postdocs to be open and transparent and to discuss their work. Some scientists are intuitively secretive and paranoid – cultural differences perhaps play a part in this. In my view, only when someone damages your trust can you justify being paranoid, and until then it is important to share information.

“…it’s important to trust everybody you work with, at least until they show you that they can’t be trusted”

There are many ways to run a lab; for example, you can micro-manage it or you can focus on the big picture and step back from the day-to-day issues. What is your style of running a lab?

When I first became a PI, I really liked doing experimental work. Even after 5 years as a postdoc, I enjoyed doing minipreps! As a consequence, I really micro-managed the few lab members I had, and I’m sure they were ultimately happy to get away from me. But when the lab grew a little bigger and I became Head of Department, it took me away from the lab much of the time. Nowadays, I informally talk with my lab colleagues as much as I can, preferably at the bench. As we speak, I know that there is someone in my group who will find out the results of a 3-month effort, today. I always insist on looking at the raw data, never the digested, analysed data. It could be 5 minutes or 2 hours, but when I’m needed in the lab I will always try to make time for it and be part of the troubleshooting process. When you can no longer troubleshoot in your own lab, you’re lost.

Well clearly success builds on success – some impressive scientists have come out of your lab. Do you encourage all of your group members to pursue academic positions?

I’ve had many ‘super postdocs’ in my lab but some of these individuals would not be happy as PIs. It’s not about capability, but about wanting to deal with the paperwork, the responsibility and the decision-making that come with being a PI. Such individuals can make a valuable contribution to a lab, given their years of experience, as well as acting as great mentors and role models for the newer group members. When, having gained experience in the pharmaceutical industry, Nick Barker re-joined my group in 2006 as Senior Staff Scientist, we spent 6–7 years looking for stem cell markers, and then broke open the field by identifying Lgr5 as a marker of cancer stem cell populations. Nick has now set up his own group in Singapore, but I have had several other very talented experimentalists in my lab for many years. Overall, I think that intermediate positions are fantastic for successful postdocs who might end up unhappy as PIs.

How did you get involved with intestinal stem cell research? You didn’t start in this field but somehow ended up there.

As an undergraduate student, I did a brief rotation project on T cells. This led to a PhD and postdoc focused on T cells. I learned molecular biology, which inspired me to clone a T-lymphocyte transcription factor, TCF-1, when I subsequently set up my own lab in Holland. We (Marc van der Wetering and I) cloned TCF-1 within a few months and showed that it binds DNA; but, despite trying all kinds of functional assays, we couldn’t show that it regulates transcription. It took 6 or 7 years to figure out that β-catenin, a signal transducer in the Wnt signalling pathway, was needed. We heard that Walter Birchmeier had made a complementary discovery in Berlin, and our papers came out at the same time.

Around that time, I was Clinical Professor in Immunology at Utrecht, and I started studying TCFs in mice, frogs, flies and worms. We soon established that TCFs are always the endpoint of the Wnt pathway. In 1996–1997, we knocked out TCF-4 in mice and, remarkably, observed a gut phenotype – the mice had no crypts. Simultaneously, we realised that the pathway is overactivated in colon cancer. That’s when I decided to move into studying the gut. It wasn’t easy as an immunologist, but I gradually got to know the gastroenterology field. At the time, this field was dominated by clinical research, and in fact our work didn’t really become known to gastroenterologists until around 3–4 years ago. They were totally unaware that mice could give clues about human disease, which surprised me, as in haematology and immunology, there is a good balance between basic and clinical science. There are other clinically well-developed fields, such as prostate and lung cancer research, that could really benefit from a stronger basic approach.

A key discovery for you was that Lgr5 is a marker of stem cells. When did you realise the implications of this discovery?

There were two ‘eureka’ moments with the stem cell story. The dogma at the time was the ‘+4’ stem cell model, which was pioneered by Chris Potten, who recently passed away. I tried to provide experimental support for this model, together with Nick Barker, but it never really went anywhere. Having realised that β-catenin and TCFs controlled crypts in the gut and cancer, we set out to determine the genetic programme controlled by this pathway. At the time (1997), there was no technology to do this properly, but in 2000 we performed one of the first microarrays with Pat Brown. Our array looked at expression in a colon cancer cell line. The array contained only two samples – plus or minus the Wnt pathway – but it opened the field for us by providing a list of markers to investigate further. This was the first, key step. From the list of markers, we picked a few that we thought were marking +4 cells, but these led us nowhere. Eventually, based on its unique expression pattern, we came up with Lgr5. We made numerous mouse strains, including Lgr5-GFP tagged mice. The moment we saw tiny cells lighting up under the microscope, I started writing our next ten big papers in my head. It was a remarkable moment – the cells exist, and we could visualise them using these mice.

And why exactly is Lgr5 so important, both from a basic and an applied standpoint?

Lgr5 is an exquisite protein. We and several other labs have shown that it is a marker for stem cells in many tissues. Originally, we saw it only in spontaneously dividing tissues, but we’ve recently found that it also appears in organs that have undergone damage. Lgr5 is unique in that it – on its own – it specifically marks homogenous populations of stem cells but not their progenitors, unlike most other markers. We now know that this is because it is a cell surface receptor protein in the Wnt pathway, and only stem cells require Wnts. In the gut, the stem cells are particularly active – in mice, they divide every day for 2.5 years, so they go through a thousand cell divisions.

Discovering Lgr5 led to another eureka moment: the generation of long-term culture systems that maintain crypt physiology. A Japanese gastroenterologist who I invited to my lab, Toshiro Sato, was the first to set up the right culture conditions, and now multiple labs are creating these systems, which are called organoids or ‘mini-guts’. Once the system was up and running, Toshiro showed that Paneth cells provide the niche for stem cells at crypt bottoms, and that stem cells produce their own daughters which then produce growth factors. With his former Japanese lab, we showed that normal tissue can be generated from a single stem cell, and it can survive in a mouse for as long as you want. Based on this finding, our lab evolved and now we’re culturing prostate, liver, pancreas, kidney, lung and breast tissue, all for prolonged periods of time, all from humans. There are no changes in chromosomal structure in the cultured cells, and deep sequencing reveals very few mutations. The next step will be to take single cells, genetically modify them like we do with embryonic stem cells, pick a safe clone, expand it and use it for therapy, particularly transplantation.

Do you think we will be able to take organoid-based therapy to the personalised level? Colorectal cancer, for example, only has a 3% success rate in clinical trials. Are organoids going to provide the answer?

We’re finalising a pilot sequencing study now involving 20 patients with normal crypts and colon cancer. With the wild-type and colon cancer organoids, we can potentially predict patient outcome and response to drugs. In the future, we hope to rapidly build large, living biobanks for other cancers, too. In line with this, we’re building up a ‘Stand Up 2 Cancer’ dream team involving several American labs and the Sanger Institute, with the aim of taking the organoid approach to the next level in cancer therapy. Sanger has robotised screening set-ups that allow thousands of compounds to be screened across hundreds of cell lines. We can now do this with patient-derived organoids. From these tests we could establish new effective drug combinations, and we could link genetics to function to help design smarter trials. The great thing about organoids is that they contain only epithelium – there is no immune system, no blood system, only the diseased tissue, making it a very clean system.

We’ve also recently collaborated with clinicians on a cystic fibrosis project. We can predict using cystic fibrosis ‘mini-guts’ that certain drugs that are currently in trials will work for one patient and not for another, and that certain drug combinations work better than others. From biopsy to drug response, it takes only 10 days. Industry is now very interested in using this assay to pre-screen and design trials.

“The great thing about organoids is that they contain only epithelium – there is no immune system, no blood system, only the diseased tissue, making it a very clean system”

In the past, you’ve suggested that classic hypothesis-driven science isn’t the right way to do science. Could you say a little bit more about this?

Now that I’m a bit older I’m more interested in how the process of science works. I always ask my colleagues: how do you run the lab and how do you make discoveries? In my lab, I try to establish a reproducible, quantitative system, like GFP mice and arrays. Then, I throw something at the system and look, without formulating a hypothesis. This is difficult because our brains like to produce causal relationships, even though these are often wrong. I’m constantly telling my group members that they should keep their minds open and make observations without assuming that they know what’s going on. In molecular biology, we can go anywhere we want and there are billions of effects to discover. You cannot do this in a hypothesis-driven way because you’re essentially retracing evolution. There are many solutions to a particular problem but evolution picked one – it’s very arrogant to think we can reconstruct this in our minds.

Some of my most elegant hypotheses have fallen by the wayside. The importance of establishing formal rules for innovation is a discussion worth having in biology. I understand that you have embraced movies to explain scientific concepts. What’s the story behind this?

I was inspired by Leonard Zon – I came across one of his movies about 8 years ago. I realised it’s much easier to convey messages visually than in words so I started working with a small company in Holland to produce science movies. The lab provides the idea and the images, and the company writes the script. We end up going back and forth a few times to make the message as accurate as possible, and it really shows us as scientists how ambiguous language can be. Often, feedback from the company sends us back into the lab to find out something we hadn’t looked into, for example how fast do the cells move, how many cells are there? Gradually, the movie comes together. Nowadays, I typically use the movies in my talks to explain a problem, and I’ve found that it’s much more effective to show the movie before explaining the experiments. People understand the experiments much better that way, and listen effortlessly. Now, whenever we have a story to write up I try to turn it into a 30-second movie before putting pen to paper. This really forces us to think about the core of the paper.

“In molecular biology, we can go anywhere we want and there are billions of effects to discover…There are many solutions to a particular problem but evolution picked one – it’s very arrogant to think we can reconstruct this in our minds”

In your view, is being a scientist a good career choice? What advice would you give to a young scientist thinking about this career?

Science is frustrating because things don’t work 90% of the time: ideas are wrong, experiments fail. You have to have the personality that thrives by those few fantastic moments of success that you have once a year or even once a career. Moving from being a clinician to being a scientist was one of the hardest decisions I ever made. A clinician gets rewards multiple times a day, so if you’re a person who needs that kind of reward and social interaction, then you shouldn’t be a scientist. Luckily there are now many alternative careers, such as pharma, government and teaching, that didn’t exist when I was a young scientist. However, there needs to be a radical change in the way we view these alternative routes. Maybe in the US it’s different, but here, if you step out of the system you are treated like a failure. I tell young scientists that failure comes with ending up as a miserable PI, with no funding and no papers.

PhD students and junior postdocs have to be aware that the people they see at meetings who give the great talks are in the minority – as scientists we have to be ready to do something else at any point during our career. I think the whole system has to realise that every other job can be as interesting as a job in science. That’s not what we always convey to young people – we describe academia as where it’s happening and everything else as dull or uncreative.

If you hadn’t chosen science as a career, what would you have done instead?

I would probably be a novelist. It’s even more competitive than being a scientist, but it’s also creative, so the perfect blend for me.

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Lonely Receptors: RXR – Jensen, Chambon, and Evans

Larry H. Bernstein, MD, FCAP, Curator

Leaders in Pharmaceutical Intelligence

Series E. 2; 7.2

 

Nuclear receptors provoke RNA production in response to steroid hormones

Albert Lasker Basic Medical Research Award

Pierre Chambon, Ronald Evans and Elwood Jensen

For the discovery of the superfamily of nuclear hormone receptors and elucidation of a unifying mechanism that regulates embryonic development and diverse metabolic pathways.

Hormones control a vast array of biological processes, including embryonic development, growth rate, and body weight. Scientists had known since the early 1900s that tiny hormone doses dramatically alter physiology, but they had no idea that these signaling molecules did so by prodding genes. The 1950s, when Jensen began his work, was the great era of enzymology. Conventional wisdom held that estradiol—the female sex hormone that instigates growth of immature reproductive tissue such as the uterus—entered the cell and underwent a series of chemical reactions that produced a particular compound as a byproduct. This compound—NADPH—is essential for many enzymes’ operations but its small quantities normally limit their productivity. A spike in NADPH concentrations would stimulate growth or other activities by unleashing the enzymes, the reasoning went.

In 1956, Jensen (at the University of Chicago) decided to scrutinize what happened to estradiol within its target tissues, but he had a problem: The hormone is physiologically active in minute quantities, so he needed an extremely sensitive way to track it. He devised an apparatus that tagged it with tritium—a radioactive form of hydrogen—at an efficiency level that had not previously been achieved. This innovation allowed him to detect a trillionth of a gram of estradiol.

When he injected this radioactive substance into immature rats, he noticed that most tissues—skeletal muscle, kidneys and liver, for example—started expelling it within 15 minutes. In contrast, tissues known to respond to the hormone—those of the reproductive tract—held onto it tightly. Furthermore, the hormone showed up in the nuclei of cells, where genes reside. Something there was apparently grabbing the estradiol.

Jensen subsequently showed that his radioactive hormone remained chemically unchanged once inside the cell. Estrogen did not act by being metabolized and producing NADPH, but presumably by performing some job in the nucleus. Subsequent work by Jensen and Jack Gorski established that estradiol converts a protein in the cytoplasm, its receptor, into a form that can migrate to the nucleus, embrace DNA, and turn on specific genes.

From 1962 to 1980, molecular endocrinologists built on Jensen’s work to discover the receptors for the other major steroid hormones—testosterone, progesterone, glucocorticoids, aldosterone, and the steroid-like vitamin D. In addition to Jensen and Gorski, many scientists—notably Bert O’Malley, Jan-Ake Gustafsson, Keith Yamamoto, and the late Gordon Tompkins—made crucial observations during the early days of steroid receptor research.

Clinical Applications of Estrogen-Receptor Detection

Clinicians knew that removing the ovaries or adrenal glands of women with breast cancer would stop tumor growth in one out of three patients, but the molecular basis for this phenomenon was mysterious. Jensen showed that breast cancers with low estrogen-receptor content do not respond to surgical treatment. Receptor status could therefore indicate who would benefit from the procedure and who should skip an unnecessary operation. In the mid-1970s, Jensen and his colleague Craig Jordan found that women with cancers that contain large amounts of estrogen receptor are also likely to benefit from tamoxifen, an anti-estrogen compound that mimics the effect of removing the ovaries or adrenal glands. The other patients—those with small numbers of receptors—could immediately move on to chemotherapy that might combat their disease rather than waiting months to find out that the tumors were growing despite tamoxifen treatment. By 1980, Jensen’s test had become a standard part of care for breast cancer patients.

In the meantime, Jensen set about generating antibodies that bound the receptor—a tool that provided a more reliable way to measure receptor quantities in excised breast tumor specimens. His work has transformed the treatment of breast cancer patients and saves or prolongs more than 100,000 lives annually.

Long-Lost Relatives

By the early 1980s, interest in molecular endocrinology had shifted toward the rapidly developing area of gene control. Chambon and Evans had long wondered how genes turn on and off, and recognized nuclear hormone signaling as the best system for studying regulated gene transcription. They wanted to know exactly how nuclear receptors provoke RNA production in response to steroid hormones. To manipulate and analyze the receptors, they would need to isolate the genes for them.

By late 1985 and early 1986, Evans (at the Salk Institute in La Jolla) and Chambon (at the Institute of Genetics and Molecular and Cellular Biology in Strasbourg, France) had pieced together the glucocorticoid and estrogen receptor genes, respectively. They noticed that the sequences resembled that of v-erbA, a miscreant viral protein that fosters uncontrolled cell growth. This observation raised the possibility that v-erbA and its well-behaved cellular counterpart, c-erbA, would also bind DNA and control gene activity in response to some chemical activator, or ligand. In 1986, Evans and Björn Vennström simultaneously reported that c-erbA was a thyroid hormone receptor that was related to the steroid hormone receptors, thus uniting the fields of thyroid and steroid biology.

Chambon and Evans set to work deconstructing the glucocorticoid and estrogen receptors. By creating mutations at different spots and probing which activities the resulting proteins lost, they dissected the receptor into three domains: one bound hormone, one bound DNA, and one activated target genes. The structure of each domain strongly resembled the analogous one in the other receptor.

Chambon and Evans wanted to match other members of the growing receptor gene family with their chemical triggers. Because the DNA- and ligand-binding regions functioned independently, it was possible to hook the DNA-binding domain of, say, the glucocorticoid receptor to the ligand-binding domain of another receptor whose ligand was unknown. The ligand for that receptor would then activate a glucocorticoid-responsive test gene.

Evans would use this method to identify ligands for several novel members of the nuclear receptor family, and both he and Chambon exploited it to discover a physiologically crucial receptor. In the late 1970s, scientists had suggested that the physiologically active derivative of vitamin A, retinoic acid, could exert its effects by binding to a nuclear receptor. This nutrient is essential from fertilization through adulthood, and researchers were eager to understand its activities on a molecular level. During embryonic development, deficiency of retinoic acid impairs formation of most organs, and the compound can hinder cancer cell proliferation. So Chambon set out to find a receptor that responded to retinoic acid. He isolated a member of the nuclear receptor gene family whose production increased in breast cancer cells that slowed their growth upon exposure to the chemical. Simultaneously, Evans identified the same protein. He tested whether more than a dozen compounds activated an unknown receptor and one passed: retinoic acid.

Remarkably, in 1986, the two scientists had independently—and unbeknownst to each other—identified the same retinoic acid receptor, a molecule of tremendous significance. The discovery of this molecule provided an entry point for detailing vitamin A biology.

Rx for Lonely Receptors: RXR

The list of presumptive nuclear receptors was growing quickly as scientists realized that the common DNA sequences provided a handle with which to grab these molecules from the genome. Because their chemical activators weren’t known, they were called “orphan” receptors, and researchers were keen on “adopting” them to ligands. Some of these ligands, they reasoned, would represent previously unknown classes of gene activators. The test system that Chambon and Evans used to match up retinoic acid with its receptor, in which they stitched an unknown ligand-binding domain to a DNA-binding domain for a receptor with known target sequences, could be harnessed to accomplish this task.

Evans had identified some potential nuclear receptors from fruit flies. He decided to pursue a human orphan receptor that closely resembled one of these receptor genes, reasoning that a protein that functioned in both flies and mammals was likely to perform an important job.

This receptor responded to retinoic acid in intact cells but did not bind it in the test tube, so Evans called it the Retinoid X Receptor (RXR), thinking that its ligand was some retinoic acid derivative. In cells, enzymes convert retinoic acid to metabolites and it seemed possible that one of these compounds was RXR’s ligand. In 1992, Evans’s group and one at Hoffmann-La Roche discovered that 9-cis-retinoic acid, a stereoisomer of retinoic acid, could activate RXR, identifying the first new receptor ligand in 25 years. This finding launched the orphan receptor field because it provided strong evidence that the strategy could unearth previously unknown ligands.

In the meantime, Chambon had found that the purified retinoic acid receptor, in contrast to the estrogen receptor, did not bind efficiently to its target DNA. Other nuclear receptors, too, needed help grasping genes. In the test tube, the retinoic acid, thyroid hormone, and vitamin D3 receptors could attach well to their target DNA only when supplemented with cellular material, which presumably contained some crucial substance. Chambon and Michael Rosenfeld independently purified a single protein that performed this feat, and it turned out to be none other than RXR. This ability of RXR to pair with other receptors—forming so-called heterodimers—would turn out to be key for switching on many orphan receptors. These heterodimeric couplings yield large numbers of distinct gene-controlling entities.

Chambon revealed the power of mixing and matching in these molecular duos through his thorough and extensive genetic manipulations in mice. He has shown that vitamin A exerts its wide-ranging effects on organ development in the embryo through the action of eight different forms of the retinoic acid receptor and six different forms of RXR, interacting with each other in a multitude of combinations.

Clinical Applications of the Superfamily Work

The concept of RXR as a promiscuous heterodimeric partner for certain nuclear receptors led to the unexpected identification of a number of clinically relevant receptors. These proteins include the peroxisome proliferator-activated receptor (PPAR), which stimulates fat-cell maturation and sits at the center of Type 2 diabetes and a number of lipid-related disorders; the liver X receptors (LXRs) and bile acid receptor (FXR), which help manage cholesterol homeostasis; and the steroid and xenobiotic receptor (PXR), which turns on enzymes that dispose of chemicals that need to be detoxified, such as drugs.

Because the nuclear receptors wield such physiological power, they have provided excellent targets for disease treatment. The anti-diabetes compounds glitazones, for example, work by stimulating PPAR, and the clinically used lipid-lowering medications called fibrates work by binding a closely related receptor, PPAR. Retinoic acid therapy has dramatically altered the prognosis of people with acute promyelocytic leukemia by triggering specialization of the immature white blood cells that accumulate in these individuals. The three-dimensional structure of nuclear receptors with and without their ligands, which Chambon and his colleagues first solved, promises to accelerate drug discovery in the whole field.

Nuclear hormone receptors have touched on human health in other ways as well. Genetic perturbations in the genes for these proteins cause a variety of illnesses. For example, certain forms of rickets arise from mutations in the vitamin D receptor and several disorders of male sexual differentiation stem from defects in the androgen receptor.

The discoveries of Jensen, Chambon, and Evans revealed an unimagined superfamily of proteins. At the start of this work almost 50 years ago, no one would have anticipated that steroids, thyroid hormone, retinoids, vitamin D, fatty acids, bile acids, and many lipid-based drugs transmit their signal through similar pathways. Four dozen human nuclear receptors are now known, and scientists are working out the roles of these proteins in normal and aberrant physiology. These discoveries have revolutionized the fields of endocrinology and metabolism, and pointed toward new tactics for drug discovery.

by Evelyn Strauss, Ph.D.

 

The 2004 Lasker Award for Basic Medical Research will be presented to Elwood Jensen, Ph.D., the Charles B. Huggins Distinguished Service Professor Emeritus in the Ben May Institute for Cancer Research at the University of Chicago, one of three scientists whose discoveries “revolutionized the fields of endocrinology and metabolism,” according to the award citation. Jensen’s work had a rapid, direct and lasting impact on treatment and prevention of breast cancer.

The Lasker Awards are the nation’s most distinguished honor for outstanding contributions to basic and clinical medical research. Often called “America’s Nobels,” the Lasker Award has been awarded to 68 scientists who subsequently went on to receive the Nobel Prize, including 15 in the last 10 years.

Jensen will share the basic medical research award with two colleagues, Pierre Chambon, of the Institute of Genetics and Molecular and Cellular Biology (Strasbourg, France), and Ronald M. Evans of the Salk Institute for Biological Studies (La Jolla, California) and the Howard Hughes Medical Institute.

They were selected for their discovery of the “superfamily of nuclear hormone receptors and the elucidation of a unifying mechanism that regulates embryonic development and diverse metabolic pathways.” The implications of this research for understanding human disease and accelerating drug discovery “have been profound and hold much promise for the future,” notes the announcement from the Lasker Foundation.

Jensen is being honored for his pioneering research on how steroid hormones, such as estrogen, exert their influence. His discoveries explained how these hormones work, which has led to the development of drugs that can enhance or inhibit the process.

Hormones control a vast array of biological processes, including embryonic development, growth rate and body weight. Before Jensen, however, the way which hormones cause these effects was “a complete mystery,” recalled Gene DeSombre, Ph.D., professor emeritus at the University of Chicago, who worked with Jensen in the Ben May Institute as a post-doctoral fellow and then as a colleague.

In the 1950s, biochemists thought a hormone entered a cell, where a series of oxidation and reductions reactions with the estrogen provided needed energy for the growth stimulation and other specific actions shown by estrogens.

From the late 1950s to the 1970s Jensen entirely overturned that notion. Working with estrogen, he proved that hormones do not undergo chemical change. Instead, they bind to a receptor protein within the cell. This hormone-receptor complex then travels to the cell nucleus, where it regulates gene expression.

At the time, this idea was heresy. “That really got him into some hot water,” recalled DeSombre. “Jensen struggled quite a lot,” echoes Shutsung Liao, Ph.D., another Ben May colleague, who subsequently found a similar system for testosterone action. But for Jensen, just getting into hot water was a struggle. When he first presented preliminary data at a 1958 meeting in Vienna, only five people attended, three of whom were the other speakers. More than 1,000 attended a simultaneous symposium on the metabolic processing of estrogen.

In the next 20 years, Jensen convinced his colleagues by publishing a series of major and highly original discoveries in four related areas of hormone research:

  • Jensen discovered the estrogen receptor, the first receptor found for any hormone. In 1958, using a radioactive marker, he showed that only the tissues that respond to estrogen, such as those of the female reproductive tract, were able to concentrate injected estrogen from the blood. This specific uptake suggested that these cells must contain binding proteins, which he called “estrogen receptors.”
  • In 1967, Jensen and Jack Gorski of the University of Wisconsin showed that these putative receptors were macromolecules that could be extracted from these tissues. With this method, Jensen showed that when estrogen bound to this receptor, the compound then migrated to the nucleus where it bound avidly and activated specific genes, stimulating new RNA synthesis.
  • By 1968, Jensen had devised a reliable test for the presence of estrogen receptors in breast cancer cells. It had been known for decades that about one-third of premenopausal women who had advanced breast cancer would respond to estrogen blockade brought about by removing their ovaries, the source of estrogen, but there was no way to predict which women would respond. In 1971, Jensen showed that women with receptor-rich breast cancers often have remissions following removal of the sources of estrogen, but cancers that contain few or no estrogen receptors do not respond to estrogen-blocking therapy.
  • By 1977, Jensen and Geoffrey Greene, Ph.D., also in the University of Chicago’s Ben May Institute, had developed monoclonal antibodies directed against estrogen receptors, which enabled then to quickly and accurately detect and count estrogen receptors in breast and other tumors. By 1980, this test had become a standard part of care for breast cancer patients

This work “transformed the treatment of breast cancer patients,” notes the Lasker Foundation, “and saves or prolongs more than a 100,000 lives annually.”

”Jensen’s revolutionary discovery of estrogen receptors is beyond doubt one of the major achievements in biochemical endocrinology of our time,” said DeSombre. “His work is hallmarked by great technical ingenuity and conceptual novelty. His promulgation of simple yet profound ideas concerning the role of receptors in estrogen action have been of the greatest importance for research on the basic and clinical physiology not only of estrogens but also of all other categories of steroid hormones.”

By the early 1970s, Jensen was searching for chemical, rather than surgical, ways to shield estrogen-dependent tumors from circulating hormones. He and colleague Craig Jordan (then at the Worcester Foundation for Experimental Biology in Massachusetts) subsequently found that women with cancers that contain large amounts of estrogen receptor are also likely to benefit from tamoxifen, a compound that blocks some of the effects of estrogen. Patients with few or no receptors could immediately move on to chemotherapy rather than waiting months to find out that the tumors were growing despite tamoxifen treatment.

Following Jensen’s lead, researchers soon found that the receptors for the other major steroid hormones, such as testosterone, progesterone, and cortisone, worked essentially the same way.

In 1986, Pierre Chambon and Ronald Evans separately but simultaneously discovered that the steroid hormone receptors were merely the tip of the iceberg of what would turn out to be a large family of structurally related nuclear receptors, now known to consist of 48 members. Evans and Chambon unearthed a number of these receptors, which revealed new regulatory systems that control the body’s response to essential nutrients (such as Vitamin A), fat-soluble signaling molecules (such as fatty acids and bile acids), and drugs (such as the glitazones used to treat Type 2 diabetes and retinoic acid for certain forms of acute leukemia).

These three individuals “created the field of nuclear hormone receptor research, which now occupies a large area of biological and medical investigation,” said Dr. Joseph L. Goldstein, chairman of the international jury of researchers that selects recipients of the Lasker Awards, and recipient of the Lasker Award for Basic Medical Research and the Nobel Prize in Medicine in 1985.

They revealed the “unexpected and unifying mechanism by which many signaling molecules regulate a plethora of key physiological pathways that operate from embryonic development through adulthood. They discovered a family of proteins that allows chemicals as diverse as steroid hormones, Vitamin A, and thyroid hormone to perform in the body.”

Jensen, known for concluding his lectures in verse, neatly summed up what his extraordinary series of discoveries might mean to a woman who has been diagnosed with breast cancer:

“A lady with growth neoplastic
Thought surgical ablation too drastic.
She preferred that her ill
Could be cured with a pill,
Which today is no longer fantastic.”

JBC THEMATIC MINIREVIEW SERIES 2011

Nuclear Receptors in Biology and Diseases

Thematic Minireview Series on Nuclear Receptors in Biology and Diseases

Sohaib Khan and Jerry B Lingrel

Although a connection between breast cancer and the ovary was made by Sir George Beatson in 1896 and estrogen was purified in 1920, it remained puzzling as to how the hormone exerted its biological effects. In the late 1950s, when Elwood Jensen delved into this problem by asking, essentially, “What does tissue do with this hormone?” little did he know that his quest would lead to the establishment of the nuclear receptor field. The late 1950s was the era of intermediary metabolism and enzymology, when steroid hormones were considered likely substrates in the formation of metabolites that functioned as cofactors in an essential metabolic pathway. The biological responses to estrogens and other steroids were thought to be mediated by enzymes. Against this background and prevailing dogma, Jensen and colleagues defined the biochemical mechanisms by which steroid hormones exert their effects. While working at the University of Chicago’s Ben May Institute for Cancer Research, they synthesized tritium-labeled estradiol and concurrently developed a new method to measure its uptake in biological material. These tools enabled them to determine the biochemical fate of physiological amounts of hormone. They discovered that the reproductive tissues of the immature rat contain characteristic hormone-binding components with which estradiol reacts to induce uterine growth without itself being chemically changed. From the close correlation between the inhibition of binding and inhibition of growth response, Jensen established that the binding substances were receptors. Thus, we saw the birth of the first member of the nuclear receptor family (known as the estrogen receptor). These findings stimulated the search for other physiological receptors, and the pioneering works by Pierre Chambon, Ronald Evans, Jan-Åke Gustafsson, Bert W. O’Malley, and Keith Yamamoto led to the discoveries of the glucocorticoid receptor (GR),2 progesterone receptor, retinoic acid receptor, and orphan receptors. In a rather short span of time, the nuclear receptor family has grown into a 49-member-strong “superfamily.” This is a family whose members, functioning as sequence-specific transcription factors, have defined the many intricacies of the mechanism of transcription. These ligand-dependent transcription factors generally possess similar “domain organizations,” of which the DNA-binding domain and the ligand-binding domain are critical in amplifying the hormonal signals via the receptor target genes. The nuclear receptor family is divided into four groups: (i) Group 1 is composed of steroid hormone receptors that control target gene transcription by binding as homodimers to response element (RE) palindromes; (ii) in Group 2, the nuclear receptors heterodimerize with retinoid X receptor and generally bind to direct repeat REs; (iii) Group 3 consists of those orphan receptors that function as homodimers and bind to direct repeat REs; and (iv) orphan receptors in Group 4 function as monomers and bind to single REs.

Since the early demonstration by Jack Gorski and Jensen that the estrogen receptor (ER) activates transcription, the nuclear receptor field has come a long way. In addition to the first cloning of the polymerase II transcription factors (GR and ER cDNAs), of note is the discovery of steroid receptor coactivators (SRCs), a truly major piece of the transcriptional jigsaw puzzle, described by the laboratories of O’Malley and Myles Brown. The induction of coactivators and corepressors in the transcriptional machinery has expanded tremendously our understanding of this complex process. We now know that ligand binding to the respective receptors triggers a fascinating chain of events, including the translocation of the receptors to the nucleus, ligand-induced changes in the receptor conformations, receptor dimerization, interaction with the target gene promoter elements, recruitment of coactivators (or corepressors), chromatin remodeling, and subsequent interaction with the polymerase II complex to initiate transcription.

By virtue of their abilities to regulate a myriad of human developmental and physiological functions (reproduction, development, metabolism), nuclear receptors have been implicated in a wide range of diseases, such as cancer, diabetes, obesity, etc. Not surprisingly, drug companies are spending billions of dollars to develop medicines for cancer and metabolic disorders that involve nuclear receptors. More than 50 years after the discovery of the ER, the scientific community owes Jensen and other founding members of the nuclear receptor family much gratitude, for they have taken us through a remarkable expedition filled with eureka moments to understand how hormones and other ligands function!

This thematic minireview series will cover a range of topics in the nuclear receptor field. The minireviews include the current studies of identifying subtypes of the GR. Different receptors arise from alternative mRNA splicing and from the use of different promoter start sites and post-translational modifications, such as phosphorylation. The series covers the physiological roles of the different GRs. The field of orphan nuclear receptors and the search for possible ligands also are reviewed. One minireview concentrates largely on the following nuclear receptors: peroxisome proliferator-activated receptor (PPAR) α, PPARγ, Rev-erbα, and retinoic acid receptor-related orphan receptor α. ERα was the first identified and has been studied the most, whereas ERβ has not been studied in the same detail. ERβ is very important, and one of the minireviews provides a summary of the new biological functions that are being ascribed to it. Also, the development of small molecule inhibitors for the ER will be considered. An important aspect of nuclear receptor function is how these receptors function in transcription. The role of transcriptional coactivators in nuclear receptor gene regulation will be reviewed as well as how signal amplification and interaction are involved in transcription regulation by steroids. The SRC/p160 family of coregulators includes SRC-1, SRC-2, and SRC-3, and the latter has been shown to act as an oncogene, particularly in breast cancer. Molecular analysis of its role in breast cancer progression and metastasis will be the focus of one of the minireviews. In addition, interactions of nuclear receptors with the genome will be reviewed, as will the role of the homeodomain protein HoxB13 in specifying the cellular response to androgens. Mining nuclear receptor cistromes and how nuclear receptors reset metabolism also will be considered. The association of nuclear receptors (e.g. PPARδ) with physiological functions, such as circadian rhythm and muscle functions, will also be addressed. Finally, the role of nuclear receptors in disease using the retinoid X receptor α/β knock-out and transgenic mouse model skin syndromes and asthma will be reviewed. These are diverse and important topics that are critical in understanding the regulation of nuclear receptors and the biological roles they play in normal function and disease.

The Nuclear Receptor Superfamily: A Rosetta Stone for Physiology

Ronald M. Evans
Howard Hughes Medical Institute, Gene Expression Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037
Molecular Endocrinology 19(6):1429–143   http://dx.doi.org:/10.1210/me.2005-0046

In the December 1985 issue of Nature, we described the cloning of the first nuclear receptor cDNA encoding the human glucocorticoid receptor (GR) (1). In the 20 yr since that event, our field has witnessed a quantum leap by the subsequent discovery and functional elaboration of the nuclear receptor superfamily (2)—a family whose history is linked to the evolution of the entire animal kingdom and whose actions, by decoding the genome, span the vast diversity of biological functions from development to physiology, pathology, and treatment. A messenger is an envoy or courier charged with transmitting a communication or message. In one sense, the cloning of that first messenger (the GR) represented the completion of a prediction that began with Elwood Jensen’s characterization of the first steroid receptor protein (3) and continued with the pioneering work of others in the steroid receptor field (including Gorski, O’Malley, Gustafsson, and Yamamoto). Yet, like the discovery of the Rosetta stone in 1799, the revelation of the GR sequence heralded a completely unpredictable demarcation in the field, helping to solve mysteries unearthed nearly 100 yr ago as well as opening a portal to the future. The beginnings of the adventure lie in disciplines such as medicine and nutrition, which gave rise to the emergent field of endocrinology in the first half of the last century. The purification of chemical messengers ultimately known as hormones from organs and vitamins from foods spurred the study of these compounds and their physiologic effects on the body. At about the same time, the field of molecular biology was emerging from the disciplines of chemistry, physics, and their application to biological problems such as the structure of DNA and the molecular events surrounding its replication and transcription. It would not be until the late 1960s and 1970s that endocrinology and molecular biology would begin to intersect as the link between receptors and transcriptional control were being laid down. During this time, the work of Jensen (4) and Gorski (5) identified a high-affinity estrogen receptor (ER) that suggested an action in the nucleus. Gordon Tomkins and his associates (J. Baxter, G. Ringold, E. B. Thompson, H. Samuels, H. Bourne, and others) were one of the most creative forces studying glucocorticoid action (6). Concurrent work by O’Malley, Gustafsson, and Yamamoto provided further, important evidence supporting a link between steroid receptor action and transcription (see accompanying perspective articles in this issue of Molecular Endocrinology). But whereas the steroid hormone field continued to evolve in this direction, it is of interest to note that the mechanism of action of thyroid hormone and retinoids remained clouded and controversial until the eventual cloning of their receptors in the late 1980s. Likewise, no one had foreseen the possibility that other lipophilic molecules (like oxysterols, bile acids, and fatty acids) would also function through a similar mechanism, or that other steroid receptor-like proteins existed that would play an important role in transcriptional regulation of so many diverse pathways. Thus, the GR isolation in 1985 led to the concept of a hidden superfamily of receptors that in a very real way provided the needed molecular code to unravel the puzzle of physiologic homeostasis.

Unconventional Gene-Ology

The study of RNA tumor viruses was ascendant, and the concept that they evolved by pirating key signaling pathways greatly influenced my future studies. With this training, I went on to work with Jim Darnell at the Rockefeller University on adenovirus transcription, a model brought to the lab by Lennart Philipson. At the time, adenovirus was one of the best tools to study programmed gene expression in an animal cell. My sole focus was to localize the elusive major late promoter, which provided my first Nature paper (7). Ed Ziff, a newly hired assistant professor from Cambridge, brought innovative unpublished DNA and RNA sequencing techniques that, after much technical angst, allowed us to sequence the major late promoter and derive the structure of the first eukaryotic polymerase II promoter (8). This thrilling result convinced me that the problem of gene control could be solved at the molecular level. Our next goal, which I shared with Michael Harpold in the Darnell lab, was to translate the concepts developed around adenovirus into cellular systems. My model was to analyze the glucocorticoid and thyroid hormone regulation of the GH gene. Under the strict federal guidelines for newly approved recombinant DNA research, we cloned the GH cDNA in 1977 and the first genomic clones in 1978 (9) after I moved on to The Salk Institute. However, to fully address the hormone signaling problem, I realized that it would be necessary to clone the GR and thyroid hormone receptors (TRs), which began in earnest in 1981. Up until that time, the purification and cloning of any polymerase II transcription factor had eluded researchers because of their low abundance. Four years later, the GR would be the first transcription factor for a defined response element to be cloned, sequenced, and functionally identified.

A Rock and A Hard Place

A key question was whether the GR protein encoded by the receptor was sufficient, when expressed in a heterologous cell, to convey the hormonal message. Before the publication, a new postdoc, Vincent Giguere, began tinkering with the isolated GR, trying to address this question. The rate of development of any field is limited by the existing techniques and depends on the development of new ones. Vincent devised a revolutionary technique—the cotransfection assay that required two plasmids to be taken up in the same cell, the expression vector to be transcribed, the encoded protein to be functional and an inducible promoter linked to a chloramphenicol acetyltransferase reporter in the nucleus ready to flicker on (10, 12). With so many variables and unknowns, I was stunned and expressionless when it worked the very first time. Cotransfection was an easy, fast, and quantitative technique. It would become (and still remains) the dominant assay to characterize receptor function. It would also become the mainstay for drug discovery in the pharmaceutical industry. The development of this technique proved a great advantage because existing technology involved creating stable cell lines, a tedious process prone to integration artifacts that ultimately could not match the explosive pace of the field. Indeed, within 4 months Stan and Vincent had fully characterized 27 insertional mutants delineating the DBD, LBD, and two activation domains (12). The route to understanding the signaling mechanism now had a solid structural foundation. A serendipitous gift to my retroviral origins was the homology of the GR sequence to the v-erbA oncogene product of the avian erythroblastosis virus genome (13). With this discovery, erbA advanced to a candidate nuclear transcription factor potentially involved in a signal transduction pathway. Thus, while Stan concentrated on the GR, Cary began to delve into the erbA discovery. Within months of the GR publication, the human c-erbA gene was in hand (14). Unbeknownst to us, Bjorn Vennstrom, one of the first to characterize the avian erythroblastosis virus genome, had also isolated c-erbA and was searching for a function. Based on the low homology of the LBD region to the GR and ER, both groups deduced that the imaginary erbA ligand would be nonsteroidal.

The work of our two groups (15, 16), published in December of 1986, broadened the principles of the signal transduction pathway by demonstrating that thyroid and steroid hormone receptor signaling had a common evolutionary origin and provided an entree to understand how mutations within a receptor could activate it to an oncogene. Although we did not know it at the time, this work would also lead us to the concept of the corepressor. In the meantime, my student, Catherine Thompson, zeroed in on an erb-A-related gene and soon identified a second TR expressed at high levels in the central nervous system (17). Thus came into existence the and forms of the TR. Jeff Arriza, the third graduate student in the lab, purified a genomic fragment that had weakly hybridized to the GR resulting in the isolation of the human mineralocorticoid receptor (MR) (18). MR proved to have an at least 10-fold higher affinity for glucocorticoids than the GR itself and was further distinguished by its ability to bind and be activated by aldosterone. This enabled the development of GR- and MR-selective drugs such as the recent MR antagonist eplerenone. Thus, in a 2-yr time span our lab had progressed on three distinct, albeit related, receptor systems, and in doing so molecular biology and endocrinology were irrevocably linked. The field of molecular endocrinology (and coincidentally the eponymous journal) was born.

Ligands From Stone

I have often been asked how we could handle so many divergent systems. Indeed, from a medical perspective, these systems seem widely unrelated. Studies of ER, progesterone receptor, and androgen receptor (AR) fall under reproductive physiology, vitamin D under bone and mineral metabolism, with vitamin A part of nutritional science. Medical fields are naturally idiosyncratic because of the specialized knowledge required to conduct experiments. With my training as a molecular biologist, physiology was the complex output of genes and thus control of gene expression was the overriding problem. This conceptual approach had a great unifying effect because all receptors transduce their signaling through the gene. As an “outsider,” my goal was to exploit multiple receptor systems to seek general principles. This philosophical approach afforded us a freedom to redefine the signaling problem from the nucleus outward and thus even poorly characterized, even unknown, physiologic systems fell into the crosshairs of our molecular gun.

Vincent, while screening a testes Fig. 1. Models of Nuclear Receptor Structure Top, Original hand-shaped wire model (circa 1992) of the nuclear receptor DBD. Bottom, Schematic representation of the GR DBD. Conserved residues in zinc fingers, P-box and D-box are indicated isolated what would become the vitamin A or retinoic acid receptor (RAR) (19). Initially, Vincent thought he had isolated the AR, although this later proved not to be the case. By that stage, the lab had perfected a new technique—the domain swap—by which the GR DBD could be introduced into any receptor and confers on the chimeric protein the ability to activate a mouse mammary tumor virus reporter. This clever technique, independently developed in the Chambon lab, would prove to be essential. Effectively, the domain swap would enable us to screen for ligands without any knowledge of their physiologic function. Activation of a target gene was all that was needed! By creating this GR chimera, Vincent was able to screen the new receptor against a ligand cocktail including androgens, steroids, thyroid hormone, cholesterol, and the vitamin A metabolite retinoic acid. From the first assay, it was clear that he had isolated a high-affinity selective RAR that had no response to any other test ligand. Thus, without knowing any true direct target gene for retinoic acid, we were nonetheless able to isolate and characterize its receptor. Remarkably, Martin Petkovich in the Chambon lab isolated the same gene. Once again, this is an example where a new technique offered an entirely new approach to a problem. Both papers were published in the December 1987 issue of Nature (19, 20). With the combination of steroids, thyroid hormones, and vitamin A, the three elemental components of the nuclear receptor superfamily were in hand. By the time the RAR papers were published, Vincent with Na Yang, had already isolated two estrogen-related receptors termed ERR1 and 2 that would represent the first true orphan receptors in the evolving superfamily (21). A third receptor (ERR3) would be isolated 10 yr later (22). The three ERRs are distinguished by their ability to activate through ER response elements, but required no ligand. However, of potential major medical relevance, estrogen antagonists such as 4-hydroxy-tamoxifen silences ERR constitutive activity (23). The superfamily was growing exponentially, transforming into a new field, driven by a new breed of exceptional students and fellows attracted by the mechanics of transcription and its emerging link to physiology. For example, the RAR and TR offered an unprecedented look at understanding the action of vitamin A as a morphogen and the role of thyroxin in setting the basal metabolic rate of the body. We were a relatively small group, and our decision to work on multiple different receptor systems created a unique environment. Because there was so little overlap between projects, postdocs and students readily discussed all results, exchanged reagents and freely collaborated, resulting in a tremendous acceleration of progress. The high level of camaraderie was powered by the joie de vivre of the exciting discoveries and the ability of our family of students and postdocs to each adopt their own receptors. We all felt we were in a golden age and even more was to come.

In 1989, Jan Sap in Vennstrom’s group and Klaus Damm in our group demonstrated that the TR becomes oncogenic by mutation in the LBD (24, 25). Although we expected ligand-independent activation, it was clearly a constituitive repressor becoming the first example of a dominant-negative oncogene. The concept of the dominant-negative oncogene had been proposed one year earlier by Ira Herskowitz (26). This discovery changed our thinking on hormone action, and repression soon would be shown to be a common feature of receptor antagonists. David Mangelsdorf, who had arrived in the lab the year before was captivated by the glow of weakly hybridizing DNA bands and, in 1989, had amassed his own collection of orphan receptors, among which was the future retinoid X receptor (RXR) (27). In search for biological activity, a candidate ligand was found in lipid extracts from outdated human blood. However, the key test came from demonstrating that addition of all-trans retinoic acid to cultured cells would lead to its rapid metabolism coupled with the release of an inducing activity for RXR, which we termed retinoid X. David and his benchmate, Rich Heyman, began working on the chemistry of this inducer along with Gregor Eichele and Christine Thaller, then at Baylor College of Medicine (Houston, TX). This work led to the identification of 9-cis retinoic acid by our lab and a group at Hoffman LaRoche (Nutley, NJ) (28, 29). Like the retinal molecule in rhodopsin, 9-cis-retinoic acid represents the exploitation of retinoid isomerization by nature to control a key signaling pathway. More importantly, in the 39 yr since the discovery of aldosterone in 1953, this revelation would reawaken and reinvent the single most defining but dormant tool of endocrinology—ligand discovery. Indeed, the discovery that new receptors could lead to new ligands opened up an entirely new avenue of research. Like the puzzle of the structure of the benzene ring, which was solved in 1890 when Fredrick Kekule dreamed of a snake biting its own tail, the physiologic head of the “endocrine snake” and the molecular biology tail had come full circle. The era of reverse endocrinology was now upon us.

Response Elements: Deciphering The Scripts

One problem in addressing the downstream effects of our newly discovered receptors was that their response elements and target genes were by definition unknown. Kaz Umesono delved into this mystery and would produce a paradigm shift that would both solve the problem and further unify the field. With the view that the DBD functioned as a molecular receptor for its cognate hormone response element, meticulous mutational studies revealed two key DBD sequences, termed the P-box and D-box, that controlled the process (30).

The D-box was shown to direct dimerization, a feature previously thought to be unique to the LBD. One perplexing point was that the P-boxes of the nonsteroidal receptors were conserved, leading to the improbable prediction that many different receptors would recognize the same target sequence. By manual compilation and comparison of all known response elements, Kaz proposed a core hexamer— AGGTCA—as the prototypic common target sequence. By requiring the half-site to be an obligate hexamer an underlying pattern—the direct repeat—emerged. In the direct repeat paradigm, we proposed that half-site spacing, not sequence difference, was the key ingredient to distinguishing the response elements. The metric was referred to as the 3-4-5 rule (31). According to the rule, direct repeats of AGGTCA spaced by three nucleotides, would be a vitamin D response element (DR-3), the same repeat spaced by four nucleotides a thyroid hormone response element (DR-4), and the same repeat spaced by five nucleotides a vitamin A response element (DR-5). Eventually, all steps from 0–5 on the DR ladder would be filled (Fig. 2). The validity of this paradigm was ensured by a crystal structure solved in collaboration with Paul Sigler’s group at Yale (32). Indeed, of the remaining 40 nonsteroidal receptors, all but three can be demonstrated to have a preferred binding site within some component of the direct repeat ladder. Exceptions include SHP and DAX, which lack DBDs, and farnesoid X receptor (FXR) that binds to the ecdysone response element as a palindrome with zero spacing. Kaz’s insight, by drawing commonality from diversity, came to solve a problem that impacted on virtually every receptor. Remarkably, each new receptor in the superfamily could immediately be assigned a place on the ladder. The ladder also provided a simple means to conduct a ligand screening assay in absence of any knowledge of an endogenous target gene. Kaz’s ladder was a turbo charge for the field. The next major advance in the field was the discovery of the RXR heterodimer. Although we knew that retinoid and thyroid receptors required a nuclear competence factor for DNA binding, its identity was unknown. We tested RXR, but our initial experiments were flawed. Of the first four papers describing the discovery, that from Chambon’s lab was most elegant because they simply purified an activity to homogeneity to find RXR (33)! Rosenfeld was first to publish, and Ozato, Pfahl and Kliewer all concurred (34–37). Tony Oro and Pang Yao in our lab soon published that the ecdysone receptor functions as a heterodimer with ultraspiracle, the insect homolog of RXR (38, 39), revealing that the ancient origins of the heterodimer which arose before the divergence of vertebrates and invertebrates.

Reverse Endocrinology: Decoding Physiology

The orphan receptors would transform our view of endocrine physiology with unexpected links to toxicology, nutrition, cholesterol, and triglyceride metabolism as well as to a myriad of diseases including atherosclerosis, diabetes, and cancer. The three RXR isoforms formed the core with 14 heterodimer partners including the vitamin D receptor (VDR), TR/, and RAR//. The initial adopters of orphan receptors included Giguere, Mangelsdorf, Weinberger, Bruce Blumberg, Steve Kliewer, and Barry Forman. Barry unlocked the first secret to for peroxisome proliferator-activated receptor (PPAR) by identifying prostaglandin J2 (PGJ2) as a high-affinity ligand (40). The second step, in collaboration with Peter Tontonoz in Bruce Spiegleman’s lab, revealed that PGJ2 was adipogenic in cell lines and perhaps more importantly that the synthetic antidiabetic drug Troglitazone was a potent PPAR agonist (41). Similar work was conducted and published by Kliewer, who had now moved to Glaxo (42). By acquiring a ligand, a physiologic response, and a drug, PPAR was suddenly transported to the center of a physiologic cyclone that would spin into its own specialty field. Since 1995, more than 1000 papers (see PubMed) have been published on PPAR and its natural and synthetic ligands. This early work illuminated the molecular strategy of reverse endocrinology and the emerging importance of the orphan receptors in human disease and drug discovery. Cary returned to the lab for a sabbatical and, with Barry, demonstrated that FXR was responsive to farnesoids and other molecules in the mevalonate pathway. The findings by Mangelsdorf that liver X receptors (LXRs) bound oxysterols (43) and by Kliewer, Mangelsdorf, and Forman that FXR is a bile acid receptor (44–46) provided a whole new conceptual approach to cholesterol and triglyceride homeostasis. The steroid and xenobiotic receptors (SXR)/pregnane X receptor (PXR) (47–49) and the constituitive androstane receptor (CAR) (50) respond to xenobiotics to activate genes for P450 Fig. 2. Examples of Receptor Heterodimer Combinations that Fill the Direct Repeat (DR) Response Element Ladder from DR1 to DR5 Evans enzymes, conjugation and transport systems that detoxify drugs, foreign chemicals, and endogenous steroids. RXR and its associated heterodimeric partners quickly established a new branch of physiology, shedding its dependence on endocrine glands and allowing the body to decode signals from environmental toxins, dietary nutrients, and common metabolites of intermediary metabolism.

Continued…

ROCK OF AGES

The human body is, after all a living machine, a complex device that consumes and uses energy to sustain itself, defend against predators, and ultimately reproduce. One might reasonably ask, “If the superfamily acts through a common molecular template, can the family as a whole be viewed as a functional entity?” In other words, is there yet some overarching principle that we have yet to grasp. . . and might this imaginary principle lie at the heart of systems physiology? Simply stated, what led to the evolution of integrated physiology as the functional output of the superfamily? One obvious speculation is survival. To survive, all organisms must be able to acquire, absorb, distribute, store, and use energy. The receptors are exquisitely evolved to manage fuel—everything from dietary and endogenous fats (PPARs), cholesterol (LXR, FXR), sugar mobilization (GR), salt (MR), and calcium (VDR) balance and maintenance of basal metabolic rate (TR). Because only a fraction of the material we voluntarily place in our bodies is nutritional, the xenobiotic receptors (PXR, CAR) are specialized to defend against the innumerable toxins in our environment. Survival also means reproduction, which is controlled by the gonadal steroid receptors (progesterone receptor, ER, AR). However, fertility is dependent on nutritional status, indicating the presumptive communication between these two branches of the family. The third key component managed by the nuclear receptor family is inflammation. During viral, bacterial, or fungal infection, the inflammatory response defends the body while suppressing appetite, conserving fuel, and encouraging sleep (associated with cytokine release). However, if needed, even an ill body is capable of defending itself by releasing adrenal steroids, mobilizing massive amounts of fuel, and transiently suppressing inflammation. In fact, clinically, (with the exception of hormone replacement) glucocorticoids are only used as antiinflammatory agents. Other receptors including the RARs, LXRs, PPAR and , and vitamin D receptor protect against inflammation. Thus, nature evolved within the structure of the receptor the combined ability to manage energy and inflammation, indicating the important duality between these two systems. In aggregate, this commonality between distinct physiologic branches suggests that the superfamily might be approached as an intact functional dynamic entity.

Historically, endocrinologists and geneticists rarely saw eye to eye. As I have indicated in this perspective article, the disciplines have now become united in a new subject—transcriptional physiology. With this in mind, we might expect the existence of larger organizational principles that establish how the various evolutionary branches of the superfamily integrate to form whole body physiology. The existence of molecular rules governing the function and evolution of a megagenetic entity like the nuclear receptor superfamily, if correct, may be useful in understanding complex human disease and provide a conceptual basis to create more effective pharmacology. With so much accomplished in the last 20 yr (see Fig. 3), there are glimpses of clarity—enough to see the enormity and wonder of the problem and enough to know there is still a long and challenging voyage ahead. But who knows, the next breakthrough may only be a stone’s throw away.

http://press.endocrine.org/doi/pdf/10.1210/me.2005-0046

 

Pierre Chambon MD

Recipient of the Canada Gairdner International Award, 2010
“For the elucidation of fundamental mechanisms of transcription in animal cells and to the discovery of the nuclear receptor superfamily.”

Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, France

Dr. Pierre Chambon is Honorary Professor at the College de France (Paris), and Emeritus Professor at the Faculté de Médecine of the Strasbourg University. He was the Founder and former Director of the IGBMC, and also the Founder and former Director of the Institut Clinique de la Souris (ICS/MCI), in Strasbourg.

Dr. Pierre Chambon is a world expert in the fields of gene structure, and transcriptional control of gene expression. During the last 25 years his studies on the structure and function of nuclear receptors has changed our concept of signal transduction and endocrinology. By cloning the estrogen and progesterone receptors, and discovering the retinoic acid receptor family, he markedly contributed to the discovery of the superfamily of nuclear receptors and to the elucidation of their universal mechanism of action that links transcription, physiology and pathology. Through extensive site-directed mutagenesis and genetic studies in the mouse, Pierre Chambon has unveiled the paramount importance of nuclear receptor signaling in embryonic development and homeostasis at the adult stage. The discoveries of Pierre Chambon have revolutionized the fields of development, endocrinology and metabolism, and their disorders, pointing to new tactics for drug discovery, and finding important applications in biotechnology and modern medicine.

These scientific achievements are logically inscribed in an uninterrupted series of discoveries made by Pierre Chambon over the last 45 years in the field of transcriptional control of gene expression in higher eukaryotes: discovery of PolyADPribose (1963), discovery of multiple RNA polymerases differently sensitive to a-amanitin (1969), contribution to elucidation of chromatin structure: the Nucleosome (1974), discovery of animal split genes (1977), discovery of enhancer elements (1981), discovery of multiple promoter elements and their cognate factors (1980-1993).

Pierre Chambon has received numerous international awards, including the 2004 Lasker Basic Medical Research Award for the discovery of the superfamily of nuclear hormone receptors and the elucidation of a unifying mechanism that regulates embryonic development and diverse metabolic pathways. He is a member of the French Académie des Sciences, and also a Foreign Member of the National Academy of Sciences (USA) and of the Royal Swedish Academy of Sciences. Pierre Chambon serves on a number of editorial boards, including Cell, and Molecular Cell. Pierre Chambon is author of more than 900 publications. He has been ranked fourth among most prominent life scientists for the 1983-2002 period.

An Interview with Pierre Chambon
2004 Albert Lasker Basic Medical Research Award
http://www.laskerfoundation.org/media/v_chambon.htm

Pierre Chambon, MD

​Honorary Professor at the Collège-de-France and Professor of Molecular Biology and Genetics, Institute for Advanced Study, University of Strasbourg; Group Leader, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Illkirch-Graffenstaden, Strasburg, France

A pioneer in the fields of gene structure and transcriptional control of gene expression, Dr. Chambon has fundamentally changed our understanding of signal transduction, which has led to revolutionary new tactics for drug discovery. His work elucidated how molecules that promote gene transcription are organized and regulated in eukaryotic organisms and, independently of Dr. Ronald Evans, he discovered in 1987 the retinoid receptor families, which led to the discovery and characterization of the superfamily of nuclear hormone receptors, including steroid and retinoid receptors.

Dr. Chambon’s previous research led to the discovery of PolyADPribose, multiple RNA polymerases differentially sensitive to α-amaniti, and has markedly contributed to the elucidation of the nucleosome and chromatin structure, as well as to the discovery of animal split genes, DNA sequences called enhancer elements, and multiple promoter elements and their cognate factors. These discoveries have greatly enhanced understanding of embryonic development and cell differentiation. To further studies of various nuclear receptors, Dr. Chambon has developed a method that allows in the mouse the generation of somatic mutations of any gene, at any time, and in any specific cell type, a tool valuable in generating mouse models of cancer.

In 1994, Dr. Chambon took on the role of founding a major research institute in France. As the first director of IGBMC, he built the institute to encompass hundreds of top researchers and multiple research programs funded by public agencies and private industry. In 2002, he founded and was the first director of the Institut Clinique de la Souris in Strasbourg. In these positions, he has succeeded in supporting and influencing a generation of scientists.

Career Highlights

​2010  Canada Gairdner International Award

2004  Albert Lasker Basic Medical Research Award

2003  Alfred P. Sloan, Jr., Prize, General Motors Cancer Foundation

1999  Louisa Gross Horwitz Prize, Columbia University

1998  Robert A. Welch Award in Chemistry

1991  Prix Louis-Jeantet de médecine, Fondation Louis-Jeantet

1990  Sir Hans Krebs Medal, Federation of European Biochemical Societies

1988  King Faisal International Prize for Science, King Faisal Foundation

1987  Harvey Prize, Technicon-Israel Institute of Technology

more…

 

Minireviews In This Series:

Thematic Minireview Series on Nuclear Receptors in Biology and Diseases

Sohaib Khan and Jerry B Lingrel

Steroid Receptor Coactivator (SRC) Family: Masters of Systems Biology

Brian York and Bert W. O’Malley

Estrogen Signaling via Estrogen Receptor β

Chunyan Zhao, Karin Dahlman-Wright, and Jan-Åke Gustafsson

Small Molecule Inhibitors as Probes for Estrogen and Androgen Receptor Action

David J. Shapiro, Chengjian Mao, and Milu T Cherian

Cellular Processing of the Glucocorticoid Receptor Gene and Protein: New Mechanisms for Generating Tissue Specific Actions of Glucocorticoids

Robert H Oakley and John A Cidlowski

Endogenous Ligands for Nuclear Receptors: Digging Deeper

Michael Schupp and Mitchell A. Lazar

 

 

 

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Obesity

Larry H. Bernstein, MD, FCAP, Curator

Leaders in Pharmaceutical Intervention

2010 Douglas L. ColemanJeffrey M. Friedman

Shaw Laureates 2009 Life Science and Medicine

Douglas L. Coleman (6 October 1931 – 16 April 2014) was a scientist and professor at The Jackson Laboratory, in Bar Harbor, Maine. His work predicted that the ob gene encoded the hormoneleptin,[1] later co-discovered in 1994 by Jeffrey Friedman, Rudolph Leibel and their research teams at Rockefeller University.[2][3][4][5][6][7][8] This work has had a major role in our understanding of the mechanisms regulating body weight and that cause of humanobesity.[9]

Coleman was born in Stratford, Ontario. He obtained his BS degree from McMaster University in 1954 and his PhD in Biochemistry from the University of Wisconsin in 1958. He was elected a member of the US National Academy of Sciences in 1998. He won the Shaw Prize in 2009,[10] the Albert Lasker Award for Basic Medical Research in 2010, the 2012 BBVA Foundation Frontiers of Knowledge Award in the Biomedicine category and the 2013 King Faisal International Prize for Medicine[11] jointly with Jeffrey M. Friedman[9] for the discovery of leptin.

http://www.nytimes.com/2014/04/26/us/douglas-l-coleman-82-dies-found-a-genetic-cause-of-obesity.html

The Genetics of Obesity

Winner of the  2013 KFIP Prize for  Medicine

Professor Douglas Coleman was born on October 5, 1931, in Stratford, Ontario, Canada. He obtained a B.Sc. in Chemistry in 1954 from McMaster University in Hamilton, Ontario, then went to the University of Wisconsin in Madison, WI, U.S.A., where he obtained M.S. and Ph.D. degrees in Biochemistry in 1956 and 1958, respectively. He served as a Research Assistant at the University of Wisconsin from 1954-1957 and as E.I. Dupont de Nemours Fellow from 1957-1958. He joined the Jackson Laboratory in Bar Harbor, ME, where he spent his entire career rising from Associate Staff Scientist In 1958 to Senior Staff Scientist in 1968. He also served as Assistant Director for Research from 1969-1970 and Interim Director  from 1975-1976. Upon his retirement in 1991, he was appointed Senior Staff Scientist Emeritus at Jackson. He was also consultant to the National Health Institutes, serving on the Metabolism Study Section from 1972-1974 and was frequently consulted on various other special study sections involving genetic diabetes, obesity and nutrition. He also served as Visiting Professor at the University of Geneva (1979-1980).

Professor Coleman’s research interests focus on biochemical genetics, regulation of metabolism, obesity, diabetes and hormone action. He is best known for his studies on the obesity-diabetes syndrome. He discovered the db gene, one of the two genes responsible for the genetic events regulating appetite control. He carried out a series of fundamental experiments with parabiotic mice which demonstrated the hormone-hormone receptor axis of leptin and the leptin receptor long before their discovery. The discoveries of Coleman and Friedman represent one of the most important biological breakthroughs in recent decades.

Professor Coleman received several prestigious awards and honors, including the Claude Bernard Medal by the European Diabetes Foundation in 1977, the Distinguished Alumni Award in Science by McMaster University in 1999, the Gairdner International Award in 2005, the Shaw Prize for Life Sciences and Medicine in 2009 (jointly with Jeffrey M. Friedman), the Albert Lasker Basic Medical Research Award (jointly with Jeffrey M. Friedman) and the Outstanding Forest Stewardship Award (Maine Forest Service). He was elected to the National Academy of Sciences in 1991, and was awarded Honorary D.Sc. from Louisiana State University in 2005 and Honorary D.Sc. from McMaster University in 2006. He is a member of the American Association of Biological Chemists.

Professor Douglas Leonard Coleman was awarded the prize because the research findings by him and Professor Friedman led to the identification and characterization of the leptin pathway. This seminal discovery has had a major impact on our understanding of the biology of obesity, describing some of the key afferent pathways in body weight regulation active in man. Their fundamental discoveries have also helped in the recognition of more illuminating views of the endocrine system. Because of their major contribution to the field of the genetics of obesity they have been awarded King Faisal International Prize in Medicine for the year 2013.

Leaping for leptin: the 2010 Albert Lasker Basic Medical Research Award goes to Douglas Coleman and Jeffrey M. Friedman

Ushma S. Neill

J Clin Invest. 2010 Oct 1; 120(10): 3413–3418.
Published online 2010 Sep 21. doi:  10.1172/JCI45094

Douglas Coleman never intended to study diabetes or obesity. Jeffrey M. Friedman had childhood dreams of being a veterinarian. But together, the two scientists have opened the field of obesity research to molecular exploration. On September 21, the Albert and Mary Lasker Foundation announced that they will award Coleman and Friedman (Figure (Figure1)1) with the 2010 Albert Lasker Basic Medical Research Award in recognition of their contributions toward the discovery of leptin, a hormone that regulates appetite and body weight. This hormone provides a key means by which changes in nutritional state are sensed and in turn modulate the function of many other physiologic processes. The story of the discovery of the first molecular target of obesity is one of tenacity and determination.

Figure 1

Douglas Coleman (left) and Jeffrey M. Friedman (right) share the 2010 Albert Lasker Basic Medical Research Award for the discovery of leptin, a breakthrough that opened obesity research to molecular exploration.

From Canada to Maine

Douglas Coleman was raised in Ontario, Canada, the only child of English immigrant parents, who encouraged him to excel in school; he recalled, “Although my parents never had the luxury of completing high school, they always encouraged me to pursue a higher education, and in high school, I developed a keen interest in chemistry and biology.” Coleman pursued his interest in chemistry at McMaster University. It was there he met his future wife, Beverly Benallick, “the only girl to graduate in Chemistry in the Class of 1954.” During his time at McMaster University, Coleman began to focus on organic chemistry and had the fortune of working with, “a very dynamic professor, Sam Kirkwood, who not only taught me the rudiments of biochemistry, but also instilled an appreciation of the scientific method.” Kirkwood encouraged Coleman to continue his biochemistry studies at the University of Wisconsin, at which he received a PhD in 1958.

In those days, postdoctoral fellowships were rare, and graduates had two options: academia or industry. Coleman took a third option, as an associate staff scientist at what was then known as the Roscoe B. Jackson Memorial Laboratory in Bar Harbor, Maine. Coleman has noted, “My intention was to stay one or two years, expanding my skills in multiple fields, especially genetics and immunology. To my great pleasure, The Jackson Laboratory provided a rich environment, including world-class animal models of disease, interactive colleagues, and a backyard that included the stunning beauty of Acadia National Park.” The Coleman family put down roots, raising their three sons there as Coleman rose through the ranks to senior staff scientist and served terms as assistant director of research and interim director (Figure (Figure2).2). He noted, “Without a doubt, I was lucky in my choice of starting my career at The Jackson Laboratory. It was a wonderful place in which to work, and I never pursued another position.”

Figure 2

Coleman at the bench at The Jackson Laboratory in 1960.

Making magic from a mutant

His early work involved muscular dystrophy and the development of a new field, mammalian biochemical genetics, establishing that genes control enzyme turnover as well as structure. However, his focus changed when a colleague asked for his help characterizing a mutant (Figure (Figure3)3) that had spontaneously arisen at the labs. He recalled, “Initially, I had no intention of studying the diabetes/obesity syndrome, but in 1965, a spontaneous mouse mutation was discovered, and I began research that would consume much of my scientific thought for the better part of three decades.” The new mutant was polydipsic and polyuric as well as being massively obese and hyperphagic. His colleague, Katherine Hummel, was studying diabetes insipidus and asked if he could determine whether the new mutant had diabetes insipidus or mellitus. He reported back that it was diabetes mellitus: “Her initial response was that she was not interested, but I convinced her that with a little further work we could produce a solid manuscript announcing this potentially valuable mutant to the world.” This mouse owed its phenotype to two defective copies of a gene that researchers dubbed diabetes (db) (1).

Figure 3

Wild-type and obese mice.

When Coleman and his colleagues began characterizing the db/db mouse, they began to ponder whether some circulating factor might regulate the severity of diabetes: perhaps a factor in the normal mouse could inhibit the development of the obesity and diabetes found in the db/db mutant. Conversely, perhaps a circulating factor present in the db/db mouse might cause the diabetes-like syndrome in the normal mouse. If the hypothetical factor was carried through the blood, Coleman reasoned, they could test for its presence by linking the blood supplies of the various mouse strains — an experimental setup called parabiosis. Fortunately, others at The Jackson Laboratory were using parabiosis to assess whether any circulating factors were involved in anemic mutants, and they were able to show Coleman how to do it successfully.

When Coleman hooked the wild-type mice and the db/db mice together, rather than overeating, as the db/dbmice did, the wild-type mice stopped eating and died from starvation (Figure (Figure44 and ref. 2). His hypothesis was correct: the db/db mice indeed must have released a factor that inhibited the wild-type animals’ drive to eat, but the mutant animals could not respond to it.

Figure 4

Summary of parabiosis experiments performed by Coleman.

Coleman needed more proof of this mystery circulating factor regulating food intake. He turned to another overweight mouse that also had arisen by chance at The Jackson Laboratory, this one called “obese,” whose aberrant physiology arises from two defective copies of a different gene (ob) (3). Unfortunately, the ob/obmouse was on a different genetic background, and due to immune-mediated rejection, parabiosis could only be performed successfully on mice with the same strain background. Coleman described his need for resolve, “Since the obese and diabetic mutants were on different genetic backgrounds, it took years for me to be able to perform all of the desired pairings.”

Coleman persevered and finally got the strains to match so he could successfully hook them together in a parabiosis experiment. When joined to a db/db mouse, the ob/ob mouse stopped eating and starved to death, while the db/db mouse remained obese, just as the normal mice had in the previous experiment. In contrast, attaching wild-type mice to ob/ob animals did nothing to the wild-type mice and caused the ob/ob mice to limit their food consumption and gain less weight (Figure (Figure4).4). Coleman concluded that the ob/ob mice failed to produce a hormone that inhibits eating, while the db/db mice overproduced it but lack the receptor to transmit the hormonal signal (4).

Coleman faced some skepticism for his conclusion that obesity was not just about willpower and eating habits but also involved chemical and genetic factors. In this regard, he said, “When I published these findings, the long-standing dogma was that obesity was a behavioral problem (a lack of willpower) and not a physiological problem (a hormonal imbalance). I had to deal with this behavioral dogma most of my career.”

To validate his hypothesis, Coleman would need to identify the db and ob genes and protein products, a task that proved to be an insurmountable challenge at the time. He noted, “Definitive proof of my conclusions required isolating the satiety factor — a feat that resisted rigorous experimentation.” That is, until Jeffrey Friedman set his sights upon the task.

 After his third year of internal medicine residency at Albany Medical Center Hospital, Friedman  had no concrete plans for the following year, as he was not scheduled to begin a fellowship at the Brigham and Women’s Hospital in Boston until a year later. Friedman recalled, “I had no particular plans for the gap year, and John Balint, one of my professors, thought I might like research — why he thought I might have some particular aptitude, I can’t really tell. He said, ‘I have this friend at Rockefeller [Mary Jeanne Kreek], why don’t you go spend a year with her and see if you like research?’ I didn’t know what else I was going to do. My mother thought I should go spend the year as a ship’s doctor.”
A fat chance

Friedman was enraptured by what Kreek studied: how molecules control behavior. “That was 1981 and it was beginning to be evident that molecular biology was going to have a big impact, so instead of going to the Brigham for a fellowship, I abandoned medicine and decided to get a PhD with Jim Darnell [2002 Lasker award winner for his work in RNA processing and cytokine signaling], who was one of the leaders in molecular biology,” he noted. Friedman’s thesis was on the regulation of liver gene expression — how genes are turned on and off as liver regenerates. However, there was something he did on the side that was more impactful: Kreek had asked him to work with Bruce Schneider, another faculty member at Rockefeller University, to make an RIA for β-endorphin. However, Schneider’s primary interest was not in β-endorphin, but rather in cholecystokinin (CCK). In 1979, Rosalyn Yalow had published a paper in which she reported reduced levels of CCK in the brain of ob/ob mice and boldly claimed that CCK was the circulating factor that caused the ob/ob mice to be fat (5). Friedman recalled, “Well, Bruce had the exact opposite data, this was published in the JCI (6), and this started a battle with Yalow over who was correct. To address this, in 1982 Don Powell, Bruce, and I set out to clone the Cck gene so we could map it. We collaborated with Peter D’Eustachio at NYU, who showed that it was on chromosome 9 (7); ob is on 6, db is on 4. I still have Peter’s notebook entry from that time in which he wrote, ‘CCK does not map to chromosome 6, home ofob.’” So the question for Friedman became, if the circulating hormone is not CCK, then what is? When he started his own laboratory in 1986 at Rockefeller, he set out to find it, and as he recalls, “In a way what theob mouse represented to me was another instance where a molecule was controlling a behavior, the same as in Mary Jeanne’s lab.”

Do these genes make me look fat?

In the mid ’80s, positional cloning was not easy, but Friedman turned to the then-new techniques of physical gene mapping, complimented by conventional genetic mapping in mice. It had long been known that the obgene resided somewhere on mouse chromosome 6, but narrowing down the region was arduous, as the trait is recessive, necessitating the breeding of several generations. Friedman and his laboratory first determined which DNA markers were inherited along with the obese phenotype in over 1,600 mice crossbred from obese and nonobese strains. He remembers, “It was a mind numbing exercise you hoped someday would lead somewhere.” Since the genetic and physical maps are colinear, DNA markers that were linked to ob in genetic crosses could be used to clone the surrounding DNA. Using this approach, they eventually identified the portion of the genome in which all markers were always coinherited with ob among the progeny of the crosses. This region defined the chromosomal region in which the ob gene resided. As they had predicted when the crosses were set up, this region corresponded to an approximately 300,000–base pair region on chromosome 6. They then screened recombinant clones across this region for exon-intron boundaries, which indicate the presence of genes. One of the first three genes they isolated was expressed exclusively in adipose tissue, and the expression of the mutant gene was found to be 20 times greater in one of the ob/ob mutants than in controls. In a second mutant, the gene was not expressed at all, providing clear evidence that this gene encoded the ob gene. When they looked in the human genome, they found an ob homolog that was 84% identical with the mouse ob gene, establishing ob as a highly conserved, biologically important gene (8).

Once a fat-specific gene was found in the vicinity of ob, he remembered being almost numb with excitement as a set of confirmatory experiments unfolded. “I went in late on a Saturday night, and I found a radioactive probe for this gene, and I found a blot with RNA from fat tissue of normal and mutant mice. I hybridized the blot that evening and washed it at 1 in the morning. I couldn’t sleep, and I woke up at 5 or 6 and developed the blot. When I looked at the data, I immediately knew that we had cloned ob. When I saw it, I was in the darkroom, and I pulled up the film and looked at it under the light and got weak-kneed. I sort of fell backwards against the wall. This gene was in the right region of the chromosome, it was fat specific, and its expression was altered in two independent strains of ob mice. Before this, we didn’t know where ob would be expressed — and while fat was one of the tissues I considered, in principle the gene could have been expressed in any specialized cell type anywhere that had no obvious relationship to fat. But on the other hand, seeing a gene in the right region expressed exclusively in the fat . . . that gets your attention.” When he found out at 6 in the morning, he called his wife and said “we did it!,” and then, a few hours later he, called his former PhD advisor Jim Darnell: “I told him but I wasn’t sure he believed me.” That afternoon, he met some friends at Pete’s Tavern, “and we opened a bottle of champagne, and I told them, ‘I think this is going to be pretty big.’”

Next Friedman set his sights on actually identifying the product secreted by the ob gene and validating Coleman’s circulating hormone hypothesis. Together with Stephen Burley, his laboratory engineered E. colito fabricate the secreted protein, generated antibodies that would bind it, and showed that humans and rodents secrete it. In the last sentence of the 1995 Science paper describing these findings, Friedman “propose[d] that this 16-KD protein be called leptin, derived from the Greek root leptos, meaning thin” (9). The paper also showed that db/db mice made excess quantities of leptin, as predicted by Coleman, and its levels in plasma decreased in normal animals and obese humans after weight loss. He remembered, “It was an unbelievable time in the lab. The idea that there was this hormone that regulated body weight, and that we had found it, was just unimaginable. I’d wake up in the middle of the night just smiling.”

As for the name leptin, it has not only a Greek root, but a French one too. At a meeting, Friedman met Frenchman Roger Guillemin, who won a Nobel Prize for his work on peptide hormone production by the brain. A few weeks after the meeting, Friedman got a letter from him that he recalls saying, “I really liked what you had to say, but I have one quibble: you refer to these as obesity genes, but I think they are lean genes because the normal allele keeps you thin. But calling them lean genes sounds awkward. The nicest sounding root for thin is from Greek, so I propose you call ob and db ‘lepto-genes.’” So when it came time to name it, Friedman remembered Guillemin’s suggestion, and therein, the name leptin was coined.

Leptin’s legacy

Later in 1995, another group described the leptin receptor (10), and then subsequently, Friedman and another group showed that this leptin receptor is encoded by the db gene and has multiple forms, one of which is defective in Coleman’s originally described db/db mice (11, 12). Friedman also showed that the leptin receptor is especially abundant in the hypothalamus in which leptin can activate signal transduction and phosphorylation of the Stat3 transcription factor (13).

Over the years, numerous laboratories have studied leptin’s mechanism of action. Leptin acts on receptors expressed in groups of neurons in the hypothalamus, in which it inhibits appetite, in part, by counteracting the effects of neuropeptide Y, a potent feeding stimulant secreted by cells in the gut and in the hypothalamus, by thwarting the effects of anandamide, another potent feeding stimulant, and by promoting the synthesis of α-MSH (melanocyte stimulating hormone), an appetite suppressant (14). Leptin is produced in large amounts by white adipose tissue but can also be produced in lesser amounts by brown adipose tissue, syncytiotrophoblasts, ovaries, skeletal muscle, stomach, mammary epithelial cells, bone marrow, pituitary, and liver. Leptin’s actions are also not limited to regulating food intake, as it is has been shown to have roles in fertility, immunity, angiogenesis, and surfactant production. Friedman adds that the hormone, “has effects on many physiological systems, including the immune system where it modulates T cells, macrophages, and platelets. It now appears that leptin provides a key means by which nutritional state can regulate a host of other physiological systems.” While most of these actions are mediated by effects on the CNS, two of many key questions are, which of leptin’s effects on peripheral systems are direct, and which are indirect via the brain?

A magic bullet?

The first proof that leptin was important in humans came in 1997 when Stephen O’Rahilly and colleagues found two morbidly obese children who carried a mutation in the leptin gene (15). These researchers went on to show that leptin-replacement therapy could be useful in individuals with leptin mutations (16). Injection of leptin into these children led to rapid weight loss and markedly reduced food intake (Figure (Figure5).5). Leptin-replacement therapy also has potent effects in other clinical settings, including lipodystrophy, a disease state in which animals and humans have little white fat and develop severe diabetes, with profound insulin resistance and high plasma lipid levels. Because this syndrome is associated with low circulating levels of leptin, Shimomura and colleagues tested the effects of leptin-replacement therapy in mice and showed that it was highly effective (17); similar efficacy was later shown in humans (18). More recently, leptin treatment has shown a profound anti-diabetic effect in type 1 diabetic animals (19). Leptin replacement has also been shown to be of clinical benefit in other states of leptin deficiency, including hypothalamic amenorrhea (20).

Figure 5

Effects of r-metHuLeptin on the weight a child with congenital leptin deficiency.

Excited by leptin’s potential for the treatment of obesity, the biotech company Amgen paid $20 million to Rockefeller to license the hormone. With so much of the world’s population overweight or obese, a treatment or cure would be a major advance in public health and would likely be very lucrative. Amgen sponsored a large clinical trial, giving leptin to overweight adults, but while a subset of obese patients lost significant amounts of weight on leptin, the average magnitude of the effect was minimal, dampening hopes that leptin was the magic bullet in the obesity fight (21). After the trial, Amgen announced that they had suspended studies of the effects of leptin for the treatment of human obesity.

Friedman says he understands why the trials failed: “Even before leptin was tested in obese patients, we knew from animal studies that this hormone was not likely to be a panacea for every obese patient and that the response seen in ob/ob mice wasn’t going to be the typical case for obese humans. Leptin levels are elevated in obese humans, suggesting that obesity is often associated with leptin resistance and raising the possibility that increasing already high levels was going to be of arguable benefit.” The key to making leptin work may be in coaxing the brain to respond to leptin: some people are simply not sensitive enough or they develop resistance. Friedman predicts that through personalized medicine, doctors may at some point be able to identify which obese people will respond to leptin. In the meantime, there is some clinical evidence that leptin’s ability to reduce weight among obese patients can be restored by combining it with other agents (22).

The thrill of discovery

For all the social implications, potential profits, and medical possibilities, Friedman is circumspect but proud about the discovery of leptin, saying, “whether it finds its way into general usage as an antiobesity drug, the use of modern methods to identify and target the components of the leptin- signaling pathway will, I believe, form the basis for new pharmacological approaches to the treatment of obesity and other nutritional disorders.” Coleman agrees, stating that “with the discovery of leptin and the subsequent cloning of the leptin receptor, the field exploded. With these findings, two long-standing misconceptions were definitively laid to rest: obesity was not merely a behavioral problem but rather had a significant physiological component; and adipose tissue was not merely a fat-storage site but rather an important endocrine organ.”

Both Coleman and Friedman (Figure (Figure6)6) were overwhelmed and humbled by the news that they would receive the 2010 Lasker Award for Basic Medical Research. Coleman notes, “I have always viewed this award as one of the most esteemed of the several truly prestigious biomedical research awards, and it is with great pride and humility that I accept this prestigious prize. I was also especially delighted to learn that I would be sharing this award with Jeffrey Friedman, who always acknowledged my earlier contributions to our field.” Friedman added, “It is an honor to join a group of other winners who really are at the highest level of science. To be placed among them is just hard to fathom.”

Figure 6

Coleman and Friedman, together at The Jackson Laboratory, in 1995.

Coleman retired from his scientific career in 1991. He has said that at his retirement ceremony “someone commented that my career was characterized by the ability to use the simplest technique to answer the most complex biological questions.” Friedman, however, is still at the bench and active as ever in his hunt to determine exactly how leptin regulates food intake. Through their determination and persistence, the two have provided a molecular framework for understanding obesity, but they have different opinions about how much luck played into their findings. Coleman has noted that he favors the Louis Pasteur quote, “Luck favors the prepared mind.” But Friedman has a different perspective, stating “my story suggests that in many cases, the prepared mind is favored by chance.”

Acknowledgments

As Coleman was away and unavailable for comment during the preparation of this article, his quotations were taken from an autobiography he wrote when accepting the Shaw prize in 2009, from his acceptance remarks for the Lasker prize, and from a profile written by Luther Young posted on the Bangor Daily Newsin 2009 ( http://www.bangordailynews.com/story/Hancock/Scientists-work-at-Jackson-Lab-lauded,118612?print=1).

References
1. Hummel KP, Dickie MM, Coleman DL. Diabetes, a new mutation in the mouse. Science.1966;153(740):1127–1128. doi: 10.1126/science.153.3740.1127. [PubMed] [Cross Ref]
2. Coleman DL, Hummel KP. Effects of parabiosis of normal with genetically diabetic mice. Am J Physiol.1969;217(5):1298–1304. [PubMed]
3. Ingalls AM, Dickie MM, Snell GD. Obese, a new mutation in the house mouse. J Hered.1950;41(12):317–318. [PubMed]
4. Coleman DL. Effects of parabiosis of obese with diabetes and normal mice. Diabetologia. 1973;9(4):294–298. doi: 10.1007/BF01221857. [PubMed] [Cross Ref]
5. Straus E, Yalow RS. Gastrointestinal peptides in the brain. Fed Proc. 1979;38(9):2320–2324. [PubMed]
6. Schneider BS, Monahan JW, Hirsch J. Brain cholecystokinin and nutritional status in rats and mice. J Clin Invest. 1979;64(5):1348–1356. doi: 10.1172/JCI109591. [PMC free article] [PubMed] [Cross Ref]
7. Friedman JM, Schneider BS, Barton DE, Francke U. Level of expression and chromosome mapping of the mouse cholecystokinin gene: implications for murine models of genetic obesity. Genomics.1989;5(3):463–469. doi: 10.1016/0888-7543(89)90010-4. [PubMed] [Cross Ref]
8. Zhang Y, Proenca R, Maffei M, Barone M, Leopold L, Friedman JM. Positional cloning of the mouse obese gene and its human homologue. Nature. 1994;372(6505):425–432. doi: 10.1038/372425a0. [PubMed][Cross Ref]
9. Halaas JL, et al. Weight-reducing effects of the plasma protein encoded by the obese gene. Science.1995;269(5223):543–546. doi: 10.1126/science.7624777. [PubMed] [Cross Ref]
10. Tartaglia LA, et al. Identification and expression cloning of a leptin receptor, OB-R. Cell.1995;83(7):1263–1271. doi: 10.1016/0092-8674(95)90151-5. [PubMed] [Cross Ref]
11. Chen H, et al. Evidence that the diabetes gene encodes the leptin receptor: identification of a mutation in the leptin receptor gene in db/db mice. Cell. 1996;84(3):491–495. doi: 10.1016/S0092-8674(00)81294-5.[PubMed] [Cross Ref]
12. Lee GH, et al. Abnormal splicing of the leptin receptor in diabetic mice. Nature. 1996;379(6566):632–635. doi: 10.1038/379632a0. [PubMed] [Cross Ref]
13. Vaisse C, Halaas JL, Horvath CM, Darnell JE, Jr, Stoffel M, Friedman JM. Leptin activation of Stat3 in the hypothalamus of wild-type and ob/ob mice but not db/db mice. Nat Genet. 1996;14(1):95–97. [PubMed]
14. Friedman JM, Halaas JL. Leptin and the regulation of body weight in mammals. Nature.1998;395(6704):763–770. doi: 10.1038/27376. [PubMed] [Cross Ref]
15. Montague CT, et al. Congenital leptin deficiency is associated with severe early-onset obesity in humans.Nature. 1997;387(6636):903–908. doi: 10.1038/43185. [PubMed] [Cross Ref]
16. Farooqi IS, et al. Beneficial effects of leptin on obesity, T cell hyporesponsiveness, and neuroendocrine/metabolic dysfunction of human congenital leptin deficiency. J Clin Invest.2002;110(8):1093–1103. [PMC free article] [PubMed]
17. Shimomura I, Hammer RE, Ikemoto S, Brown MS, Goldstein JL. Leptin reverses insulin resistance and diabetes mellitus in mice with congenital lipodystrophy. Nature. 1999;401(6748):73–76. doi: 10.1038/43448.[PubMed] [Cross Ref]
18. Oral EA, et al. Leptin-replacement therapy for lipodystrophy. N Engl J Med. 2002;346(8):570–578. doi: 10.1056/NEJMoa012437. [PubMed] [Cross Ref]
19. Wang MY, et al. Leptin therapy in insulin-deficient type I diabetes. Proc Natl Acad Sci U S A.2010;107(11):4813–4819. doi: 10.1073/pnas.0909422107. [PMC free article] [PubMed] [Cross Ref]
20. Welt CK, et al. Recombinant human leptin in women with hypothalamic amenorrhea. N Engl J Med.2004;351(10):987–997. doi: 10.1056/NEJMoa040388. [PubMed] [Cross Ref]
21. Heymsfield SB, et al. Recombinant leptin for weight loss in obese and lean adults: a randomized, controlled, dose-escalation trial. JAMA. 1999;282(16):1568–1575. doi: 10.1001/jama.282.16.1568.[PubMed] [Cross Ref]
22. Roth JD, et al. Leptin responsiveness restored by amylin agonism in diet-induced obesity: evidence from nonclinical and clinical studies. Proc Natl Acad Sci U S A. 2008;105(20):7257–7262. doi: 10.1073/pnas.0706473105. [PMC free article] [PubMed] [Cross Ref]
Autobiography of Jeffrey M Friedman

My laboratory identified leptin, a hormone that is produced by fat tissue. Leptin acts on the brain to modulate food intake and functions as an afferent signal in a feedback loop that regulates weight. My route to this hormone is filled with a number of chance events and turns of fate that were in no way predictable at the time that I started my career.I grew up in the suburbs of New York City in a village where children had enormous freedom. I recall from an early age riding my bicycle everywhere without my parents, or anyone else for that matter, knowing my whereabouts. My father was a radiologist and my mother was a teacher. No one in my family or community had pursued an academic career and at the time I was completely unaware of the possibility that one could make a career in science. In my family, the highest level of achievement was to become a doctor and, despite my earliest dreams of a career as a professional athlete (made unlikely by a notable lack of talent) and a later wish to become a veterinarian, I became a doctor.I was originally trained in internal medicine with some subspecialty training in gastroenterology. In medical school and as a medical resident, I participated in some modest research studies. The first piece of work I completed related to the effects of dietary salt on the regulation of blood pressure. After completing this project, I excitedly submitted a paper for publication. I remember one of the reviews verbatim: “This paper should not be published in the Journal of Clinical Investigation or anywhere else.” Fortunately, one of my mentors in medical school still thought I might have some aptitude for research. He suggested that I go to The Rockefeller University to work in a basic science research laboratory. I joined the laboratory of Dr Mary-Jeanne Kreek to study the effects of endorphins in the development of narcotic addiction.I was fascinated by the idea that endogenous molecules could alter behaviour and emotional state. At The Rockefeller University, I met another scientist, Bruce Schneider. Bruce was studying cholecystokinin (CCK), a peptide hormone that is secreted by intestinal cells. CCK aids digestion by stimulating the secretion of enzymes from the pancreas and bile from the gallbladder. CCK had also been found in neurons of the brain, although its function there was less clear. In the late 1970s, it was shown that injections of CCK reduce food intake. This finding appealed to me as another example of how a single molecule can change behavior. One other fact also piqued my interest: There were indications that the levels of CCK were decreased in a genetically obese ob/ob mouse. These mutant mice are massively obese as a consequence of a defect in a single gene. The mice eat excessively and weigh 3 to 5 times as much as normal mice. It was thus hypothesized that CCK functions as an endogenous appetite suppressant and that a deficiency of CCK caused the obesity evident in ob/ob mice. Fascinated by this possibility, I set out to establish the possible role of CCK in the pathogenesis of obesity in these animals. To do this I was going to need additional training in basic research, so I abandoned my plans to continue medical training in gastroenterology and instead entered the PhD program at The Rockefeller University.As a PhD student I worked in the laboratory of Jim Darnell, studying the regulation of gene expression in liver, and learning the basic tools of molecular biology. But I carried my interest in the ob/ob gene with me. At the end of my graduate studies, two colleagues and I successfully isolated the CCK gene from mouse. One of the first studies we performed after isolating the gene was to determine its chromosomal position. We found that the CCK gene was not on chromosome 6, where the ob mutation had been localized, which thus excluded defective CCK as the cause of the obesity. The question thus remained: What is the nature of the defective gene in ob/ob mice?

After receiving my PhD in 1986, I became an assistant professor at The Rockefeller University and set out to answer this question. The culmination of what proved to be an 8-year odyssey was the identification of the ob gene in 1994. We now know that the ob gene encodes the hormone leptin. The discovery of this hormone, a singular event in my life, was absolutely exhilarating. The realization that nature had happened upon such a simple and elegant solution for regulating weight was the closest thing I have ever had to a religious experience. Subsequent studies revealed that injections of leptin dramatically decrease the food intake of mice and other mammals. My current studies now focus on several questions, including the one that originally aroused my interest in this mutation: How is it that a single molecule – leptin – profoundly influences feeding behavior? An esteemed colleague of mine remarked recently that I had searched for the ob gene primarily so that I could approach the question I had started with. It is as yet unclear whether I will succeed in understanding how a single molecule can influence a complex behaviour.

  1. Coleman, DL (1978). “Obese and Diabetes: two mutant genes causing diabetes-obesity syndromes in mice”. Diabetologia 14: 141–148. doi:10.1007/bf00429772.
  2. Jump up^ Green ED, Maffei M, Braden VV, Proenca R, DeSilva U, Zhang Y, Chua SC Jr, Leibel RL, Weissenbach J, Friedman JM. (August 1995). “The human obese (OB) gene: RNA expression pattern and mapping on the physical, cytogenetic, and genetic maps of chromosome 7”.Genome Research 5 (1): 5–12. doi:10.1101/gr.5.1.5.PMID 8717050.
  3. Jump up^ Shell E (January 1, 2002). “Chapter 4: On the Cutting Edge”. The Hungry Gene: The Inside Story of the Obesity Industry. Atlantic Monthly Press. ISBN 978-1-4223-5243-4.
  4. Jump up^ Shell E (January 1, 2002). “Chapter 5: Hunger”. The Hungry Gene: The Inside Story of the Obesity Industry. Atlantic Monthly Press.ISBN 978-1-4223-5243-4.
  5. Jump up^ Zhang Y, Proenca R, Maffei M, Barone M, Leopold L, Friedman JM (December 1994). “Positional cloning of the mouse obese gene and its human homologue”. Nature 372 (6505): 425–432.doi:10.1038/372425a0. PMID 7984236.
  6. Jump up^ Rosenbaum M (1998). “Leptin”. The Scientist Magazine.
  7. Jump up^ Okie S (February 11, 2005). “Chapter 2: Obese Twins and Thrifty Genes”. Fed Up!: Winning the War Against Childhood Obesity. Joseph Henry Press, an imprint of the National Academies Press. ISBN 978-0-309-09310-1.
  8. Jump up^ Zhang, Y; Proenca, P; Maffei, M; Barone, M; Leopold, L; Friedman, JM. (1994). “Positional cloning of the mouse obese gene and its human homologue”. Nature 372 (6505): 425–432.doi:10.1038/372425a0. PMID 7984236.
  9. ^ Jump up to:a b Friedman, Jeffrey (2014). “Douglas Coleman (1931–2014) Biochemist who revealed biology behind obesity”. Nature 509 (7502): 564. doi:10.1038/509564a. PMID 24870535.
  10. Jump up^ Shaw Prize 2009
  11. Jump up^ King Faisal Prize 2013 for Medicine

A Metabolic Master Switch Underlying Human Obesity

Researchers find pathway that controls metabolism by prompting fat cells to store or burn fat

Aug 21, 2015  http://www.technologynetworks.com/Metabolomics/news.aspx?ID=182195

Researchers find pathway that controls metabolism by prompting fat cells to store or burn fat.

Obesity is one of the biggest public health challenges of the 21st century. Affecting more than 500 million people worldwide, obesity costs at least $200 billion each year in the United States alone, and contributes to potentially fatal disorders such as cardiovascular disease, type 2 diabetes, and cancer.

But there may now be a new approach to prevent and even cure obesity, thanks to a study led by researchers at MIT and Harvard Medical School. By analyzing the cellular circuitry underlying the strongest genetic association with obesity, the researchers have unveiled a new pathway that controls human metabolism by prompting our adipocytes, or fat cells, to store fat or burn it away.

“Obesity has traditionally been seen as the result of an imbalance between the amount of food we eat and how much we exercise, but this view ignores the contribution of genetics to each individual’s metabolism,” says senior author Manolis Kellis, a professor of computer science and a member of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and of the Broad Institute.

New mechanism found

The strongest association with obesity resides in a gene region known as “FTO,” which has been the focus of intense scrutiny since its discovery in 2007. However, previous studies have failed to find a mechanism to explain how genetic differences in the region lead to obesity.

“Many studies attempted to link the FTO region with brain circuits that control appetite or propensity to exercise,” says first author Melina Claussnitzer, a visiting professor at CSAIL and instructor in medicine at Beth Israel Deaconess Medical Center and Harvard Medical School. “Our results indicate that the obesity-associated region acts primarily in adipocyte progenitor cells in a brain-independent way.”

To recognize the cell types where the obesity-associated region may act, the researchers used annotations of genomic control switches across more than 100 tissues and cell types. They found evidence of a major control switchboard in human adipocyte progenitor cells, suggesting that genetic differences may affect the functioning of human fat stores.

To study the effects of genetic differences in adipocytes, the researchers gathered adipose samples from healthy Europeans carrying either the risk or the non-risk version of the region. They found that the risk version activated a major control region in adipocyte progenitor cells, which turned on two distant genes, IRX3 and IRX5.

Control of thermogenesis

Follow-up experiments showed that IRX3 and IRX5 act as master controllers of a process known as thermogenesis, whereby adipocytes dissipate energy as heat, instead of storing it as fat. Thermogenesis can be triggered by exercise, diet, or exposure to cold, and occurs both in mitochondria-rich brown adipocytes that are developmentally related to muscle, and in beige adipocytes that are instead related to energy-storing white adipocytes.

“Early studies of thermogenesis focused primarily on brown fat, which plays a major role in mice, but is virtually nonexistent in human adults,” Claussnitzer says. “This new pathway controls thermogenesis in the more abundant white fat stores instead, and its genetic association with obesity indicates it affects global energy balance in humans.”

The researchers predicted that a genetic difference of only one nucleotide is responsible for the obesity association. In risk individuals, a thymine (T) is replaced by a cytosine (C) nucleobase, which disrupts repression of the control region and turns on IRX3 and IRX5. This then turns off thermogenesis, leading to lipid accumulation and ultimately obesity.

By editing a single nucleotide position using the CRISPR/Cas9 system — a technology that allows researchers to make precise changes to a DNA sequence — the researchers could switch between lean and obese signatures in human pre-adipocytes. Switching the C to a T in risk individuals turned off IRX3 and IRX5, restored thermogenesis to non-risk levels, and switched off lipid storage genes.

“Knowing the causal variant underlying the obesity association may allow somatic genome editing as a therapeutic avenue for individuals carrying the risk allele,” Kellis says. “But more importantly, the uncovered cellular circuits may allow us to dial a metabolic master switch for both risk and non-risk individuals, as a means to counter environmental, lifestyle, or genetic contributors to obesity.”

Success in human and mouse cells

The researchers showed that they could indeed manipulate this new pathway to reverse the signatures of obesity in both human cells and mice.

In primary adipose cells from either risk or non-risk individuals, altering the expression of either IRX3 or IRX5 switched between energy-storing white adipocyte functions and energy-burning beige adipocyte functions.

Similarly, repression of IRX3 in mouse adipocytes led to dramatic changes in whole-body energy balance, resulting in a reduction of body weight and all major fat stores, and complete resistance to a high-fat diet.

“By manipulating this new pathway, we could switch between energy storage and energy dissipation programs at both the cellular and the organismal level, providing new hope for a cure against obesity,” Kellis says.

The researchers are currently establishing collaborations in academia and industry to translate their findings into obesity therapeutics. They are also using their approach as a model to understand the circuitry of other disease-associated regions in the human genome.

Flipping a Genetic Switch on Obesity?

Illustration of a DNA switchWhen weight loss is the goal, the equation seems simple enough: consume fewer calories and burn more of them exercising. But for some people, losing and keeping off the weight is much more difficult for reasons that can include a genetic component. While there are rare genetic causes of extreme obesity, the strongest common genetic contributor discovered so far is a variant found in an intron of the FTO gene. Variations in this untranslated region of the gene have been tied to differences in body mass and a risk of obesity [1]. For the one in six people of European descent born with two copies of the risk variant, the consequence is carrying around an average of an extra 7 pounds [2].

Now, NIH-funded researchers reporting in The New England Journal of Medicine [3] have figured out how this gene influences body weight. The answer is not, as many had suspected, in regions of the brain that control appetite, but in the progenitor cells that produce white and beige fat. The researchers found that the risk variant is part of a larger genetic circuit that determines whether our bodies burn or store fat. This discovery may yield new approaches to intervene in obesity with treatments designed to change the way fat cells handle calories.

The team—led by Melina Claussnitzer of Beth Israel Deaconess Medical Center, Boston, and Manolis Kellis of the Massachusetts Institute of Technology (MIT), Cambridge—started with a basic question: where in the body does this variant act to influence weight? For the answer, the team turned to the NIH-funded Roadmap Epigenomics Project. There, they found comprehensive data on 127 human cell types and the occurrence of common chemical modifications that act like volume knobs to turn gene activity “up” or “down” based on changes in the way DNA is packaged. While the FTO gene is active in the human brain, the team couldn’t connect any differences there with obesity.

They began to wonder whether this obesity-risk variant affected FTO at all (and prior studies had suggested this [4]). Maybe it operated at a distance to change the expression of other protein-coding genes? Sure enough, further study in fat collected from patients showed that the obesity risk variant works in those progenitor cells to control the activity of two other genes, IRX3 andIRX5, both found quite a distance away.

The fat in people with the obesity risk variant and greater expression of IRX3 and IRX5 genes contains fewer beige cells than normal. Beige cells, which were discovered just three years ago [5], are produced sometimes by fat cell progenitors to burn rather than stockpile energy. This new evidence suggests that beige fat may play an unexpectedly important role in protecting against obesity.

Using a method they developed last year [6], the researchers traced the effects of the obesity risk variant to a single nucleotide change—a small typo in the DNA sequence that changes a “T” to a “C.” They then used the nifty CRISPR-Cas genome editing system (see Copy-Editing the Genome) to switch between this obesity risk variant and the protective variant in human cells. As the researchers did this, they saw fat cells turn energy-burning heat production off and back on again. In other words, the obesity signature in the cells could be turned on and off at the flip of this genetic switch!

They also showed in mice that the shift toward energy-burning beige cells led to weight loss. Animals engineered in a way that blocked Irx3 expression in adipose tissue became significantly thinner with no change in their eating or exercise habits. This new collection of evidence suggests that treatments designed to program fat cells to burn more energy (such as antagonists against the IRX3 or IRX5 proteins) might have similar benefits in people, and the researchers are working with collaborators in academia and industry to pursue this line of investigation.

This is a great example of how discoveries about genetic factors in common disease, uncovered by applying the genome-wide association study (GWAS) approach to large numbers of affected and unaffected individuals, are revealing critical and previously unknown pathways in human biology and medicine. This case also points out how our terminology may need attention, however; for the last several years, this genetic variant for obesity has been called “the FTO variant,” perhaps it should now be called “the IRX3/5 variant.”

Genes, of course, are only part of the story. It’s still important to eat healthy, limit your portions, and maintain a regular exercise program. Leading an active lifestyle both keeps weight down and improves the overall sense of well being.

References:

[1] FTO genotype is associated with phenotypic variability of body mass index.Yang J, Loos RJ, Powell JE, TM, Frayling TM, Hirschhorn JN, Goddard ME, Visscher PM, et al. Nature. 2012 Oct 11;490(7419):267-72.

[2] A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Frayling TM, Timpson NJ, Weedon MN, Morris AD, Smith GD, Hattersley AT, McCarthy MI, et al. Science. 2007 May 11;316(5826):889-94.

[3] FTO Obesity Variant Circuitry and Adipocyte Browning in Humans. Claussnitzer M, Dankel SN, Kim KH, Quon G, Meuleman W, Haugen C, Glunk V, Sousa IS, Beaudry JL, Puviindran V, Abdennur NA, Liu J, Svensson PA, Hsu YH, Drucker DJ, Mellgren G, Hui CC, Hauner H, Kellis M. N Engl J Med. 2015 Aug 19. [Epub ahead of print]

[4] Obesity-associated variants within FTO form long-range functional connections with IRX3. Smemo S, Tena JJ, Kim KH, Hui CC, Gomez-Skarmeta JL, Nobrega MA, et al. Nature 2014 Mar 20; 507(7492):371-375.

[5] Beige adipocytes are a distinct type of themogenic fat cell in mouse and human. Wu J, Boström P, Sparks LM, Schrauwen P, Spiegelman BM. Cell 2012 Jul 20:150(2):366-376.

[6] Leveraging cross-species transcription factor binding site patterns: from diabetes risk loci to disease mechanisms. Claussnitzer M, Dankel SN, Klocke Mellgren G, Hauner H, Laumen H, et al. Cell. 2014 Jan 16;156(1-2):343-58.

Links:

Manolis Kellis (Massachusetts Institute of Technology, Cambridge)

What are overweight and obesity? (National Heart, Lung, and Blood Institute/NIH)

NIH Roadmap Epigenomics Project

NIH Support: National Human Genome Research Institute; National Institute of General Medical Sciences

MiR-93 Controls Adiposity via Inhibition of Sirt7 and Tbx3

CELL REPORTS · AUGUST 2015
Impact Factor: 8.36 · DOI: 10.1016/j.celrep.2015.08.006 

https://www.researchgate.net/publication/281394525_MiR-93_Controls_Adiposity_via_Inhibition_of_Sirt7_and_Tbx3

Conquering obesity has become a major socioeconomic challenge. Here, we show that reduced expression of the miR-25-93-106b cluster, or miR-93 alone, increases fat mass and, subsequently, insulin resistance. Mechanistically, we discovered an intricate interplay between enhanced adipocyte precursor turnover and increased adipogenesis. First, miR-93 controls Tbx3, thereby limiting self-renewal in early adipocyte precursors. Second, miR-93 inhibits the metabolic target Sirt7, which we identified as a major driver of in vivo adipogenesis via induction of differentiation and maturation of early adipocyte precursors. Using mouse parabiosis, obesity in mir-25-93-106b(-/-) mice could be rescued by restoring levels of circulating miRNA and subsequent inhibition of Tbx3 and Sirt7. Downregulation of miR-93 also occurred in obese ob/ob mice, and this phenocopy of mir-25-93-106b(-/-) was partially reversible with injection of miR-93 mimics. Our data establish miR-93 as a negative regulator of adipogenesis and a potential therapeutic option for obesity and the metabolic syndrome.

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Roeder – the coactivator OCA-B, the first cell-specific coactivator, discovered by Roeder in 1992, is unique to immune system B cells

Larry H Bernstein, MD, FCAP, Curator

Leaders in Pharmaceutical Intelligence
The B-cell-specific transcription coactivator OCA-B/OBF-1/Bob-1 is essential for normal production of immunoglobulin isotypes

Unkyu Kim*, Xiao-Feng Qin†, Shiaoching Gong†, Sean Stevens*, Yan Luo*, Michel Nussenzweig† & Robert G. Roeder*
Nature 383, 542 – 547 (10 October 1996);  http://dx.doi.org:/10.1038/383542a0
* Laboratory of Biochemistry and Molecular Biology, and Laboratory of Molecular Immunology, Howard Hughes Medical Institute, The Rockefeller University, New York, New York 10021, USA

OCA-B was initially identified as a B-cell-restricted coactivator that functions with octamer binding transcription factors (Oct-1 and Oct-2) to mediate efficient cell type-specific transcription of immunoglobulin promoters in vitro 1–3. Subsequent cloning studies led to identification of the coactivator as a single poly-peptide, designated either as OCA-B (ref. 3), OBF-1 (ref. 4) or Bob-1 (ref. 5). OCA-B itself does not bind to DNA directly, but interacts with either Oct-1 or Oct-2 to potentiate transcriptional activation1–5. To determine the biological role of OCA-B, we generated OCA-B-deficient mice by gene targeting. Mice lacking OCA-B undergo normal antigen-independent, B-cell differentiation, including appropriate expression of both immunoglobulin genes and other early B-cell-restricted genes. However, antigen-dependent maturation of B cells is greatly affected. The pro- liferative response to surface IgM crosslinking is impaired, and there is a severe deficiency in the production of secondary immunoglobulin isotypes including IgGl, IgG2a, IgG2b, IgG3, IgA and IgE in OCA-B-deficient B cells. This defect is not due to a failure of the isotype switching process, but rather to reduced levels of transcription from normally switched immunoglobulin heavy-chain loci. In accord with the defective isotype production, germinal centre formation is absent in these mutant mice.

References

1. Pierani, A., Heguy, A., Fujii, H. & Roeder, R. G. Mol. Cell. Biol. 10, 6204−6215 (1990). | PubMed | ChemPort |
2. Luo, Y., Fujii, H., Gerster, T. & Roeder, R. G. Cell 71, 231−241 (1992). | Article | PubMed | ISI | ChemPort |
3. Luo, Y. & Roeder, R. G. Mol. Cell. Biol. 15, 4115−4124 (1995). | PubMed | ISI | ChemPort |
4. Strubin, M., Newell, J. W. & Matthias, P. Cell 80, 497−506 (1995). | Article | PubMed | ISI | ChemPort |
5. Gstaiger, M., Knoepfel, L., Georgiev, O., Schaffner, W. & Hovens, C. M. Nature 373, 360−362 (1995). | Article | PubMed | ISI | ChemPort |
6. Yancopoulos, G. D. & Alt, F. W. Cell 40, 271−281 (1985). | Article | PubMed | ISI | ChemPort |
7. Yancopoulos, G. D. & Alt, F. W. Annu. Rev. Immunol. 4, 339−368 (1986). | Article | PubMed | ISI | ChemPort |
8. Rajewsky, K. Curr. Opin. Immunol. 4, 171−176 (1992). | Article | PubMed | ChemPort |
9. Rolink, A. & Melchers, F. Adv. Immunol. 53, 123−156 (1993). | PubMed | ISI | ChemPort |
10. Gold, M. R. & DeFranco, A. L. Adv. Immunol. 55, 221−295 (1994). | PubMed | ISI | ChemPort |
11. Coffman, R. L., Lebman, D. A. & Rothman, P. Adv. Immunol. 54, 229−270 (1993). | PubMed | ISI | ChemPort |
12. Parker, D. C. Annu. Rev. Immunol. 11, 331−360 (1993). | Article | PubMed | ISI | ChemPort |
13. Wang, H. Y., Paul, W. E. & Keegan, A. Immunity 4, 113−122 (1996). | Article | PubMed | ISI | ChemPort |
14. McLennan, I. C. Annu. Rev. Immunol. 12, 117−139 (1994). | Article | PubMed | ISI | ChemPort |
15. Lutzker, S. & Alt, F. W. Mol. Cell. Biol. 8, 1849−1852 (1988). | PubMed | ISI | ChemPort |
16. Stavnezer, J. et al. Proc. Natl Acad. Sci. USA 85, 7704−7708 (1988). | PubMed | ChemPort |
17. Staudt, L. M. & Lenardo, M. J. Annu. Rev. Immunol. 9, 373−398 (1991). | Article | PubMed | ISI | ChemPort |
18. Dariavach, P., Williams, G. T., Campbell, K., Pettersson, S. & Neuberger, M. S. Eur. J. Immunol. 21, 1499−1504 (1991). | PubMed | ISI | ChemPort |
19. Grant, P. A., Thompson, C. B. & Pettersson, S. EMBO J. 14, 4501−4513 (1995). | PubMed | ISI | ChemPort |
20. Bain, G., Gruenwald, S. & Murre, C. Mol. Cell. Biol. 13, 3522−3529 (1993). | PubMed | ISI | ChemPort |
21. Tybulewicz, V. L., Crawford, C. E., Jackson, P. K., Bronson, R. T. & Mulligan, R. C. Cell 65, 1153−1163 (1991). | Article | PubMed | ISI | ChemPort |
22. DeFranco, A. L. J. Exp. Med. 155, 1523−1536 (1982). | Article | PubMed | ISI | ChemPort |
23. Bottaro, A. et al. EMBO J. 13, 665−674 (1994). | PubMed | ISI | ChemPort |
24. Cogne, M. et al. Cell 77, 737−747 (1994). | Article | PubMed | ISI |
25. Gong, S. & Nussenzweig, M. C. Science 272, 411−414 (1996). | PubMed | ISI | ChemPort |
26. Qin, X. F. et al. EMBO J. 13, 5967−5976 (1994). | PubMed | ISI | ChemPort |
27. Li, S. C. et al. Int. Immunol. 6, 491−497 (1994). | PubMed | ChemPort |

 

Cloning, Functional Characterization, and Mechanism of Action of the B-Cell-Specific Transcriptional Coactivator

Oca-B Yan Luo & Robert G. Roeder*
Laboratory of Biochemistry and Molecular Biology, The Rockefeller University, New York, New York 10021
Molecular And Cellular Biology, Aug. 1995;  15(8):4115–4124 0270-7306/95/
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC230650/pdf/154115.pdf

Biochemical purification and cognate cDNA cloning studies have revealed that the previously described transcriptional coactivator OCA-B consists of a 34- or 35-kDa polypeptide with sequence relationships to known coactivators that function by protein-protein interactions. Studies with a recombinant protein have proved that a single OCA-B polypeptide is the main determinant for B-cell-specific activation of immunoglobulin (Ig) promoters and provided additional insights into its mechanism of action. Recombinant OCA-B can function equally well with Oct-1 or Oct-2 on an Ig promoter, but while corresponding POU domains are sufficient for OCA-B interaction, and for octamer-mediated transcription of a histone H2B promoter, an additional Oct-1 or Oct-2 activation domain(s) is necessary for functional synergy with OCA-B. Further studies show that Ig promoter activation by Oct-1 and OCA-B requires still other general (USA-derived) cofactors and also provide indirect evidence that distinct Oct-interacting cofactors regulate H2B transcription.

A novel B cell-derived coactivator potentiates the activation of immunoglobulin promoters by octamer-binding transcription factors

Yan Luo, Hiroshi Fujii, Thomas Gerster, Robert G. Roeder

Laboratory of Biochemistry and Molecular Biology The Rockefeller University New York, New York 10021 USA
Present address: Department of Biochemistry, Niigata University School of Medicine, Niigata 951, Japan.
Present address: Biozentrum der Universität Basel, Abteilung Zellbiologie, 4056 Basel, Switzerland.
Cell Oct 1992 71(2):231–241    http://dx.doi.org/10.1016/0092-8674(92)90352-D
A novel B cell-restricted activity, required for high levels of octamer/Oct-dependent transcription from an immunoglobulin heavy chain (IgH) promoter, was detected in an in vitro system consisting of HeLa cell-derived extracts complemented with fractionated B cell nuclear proteins. The factor responsible for this activity was designated Oct coactivator from B cells (OCA-B). OCA-B stimulates the transcription from an IgH promoter in conjunction with either Oct-1 or Oct-2 but shows no significant effect on the octamer/Oct-dependent transcription of the ubiquitously expressed histone H2B promoter and the transcription of USF- and Sp1-regulated promoters. Taken together, our results suggest that OCA-B is a tissue-, promoter-, and factor-specific coactivator and that OCA-B may be a major determinant for B cell-specific activation of immunoglobulin promoters. In light of the evidence showing physical and functional interactions between Oct factors and OCA-B, we propose a mechanism of action for OCA-B and discuss the implications of OCA-B for the transcriptional regulation of other tissue-specific promoters.

Identification of transcription coactivator OCA-B dependent genes involved in antigen-dependent B cell differentiation by cDNA array analyses

Unkyu Kim*, Rachael Siegel*, Xiaodi Ren*, Cary S. Gunther*, Terry Gaasterland†, and Robert G. Roeder*‡
*Laboratory of Biochemistry and Molecular Biology and †Laboratory of Computational Genomics, The Rockefeller University, 1230 York Avenue, New York, NY 10021

PNAS  http://www.pnas.org/content/100/15/8868.full.pdf

The tissue-specific transcriptional coactivator OCA-B is required for antigen-dependent B cell differentiation events, including germinal center formation. However, the identity of OCA-B target genes involved in this process is unknown. This study has used large-scale cDNA arrays to monitor changes in gene expression patterns that accompany mature B cell differentiation. B cell receptor ligation alone induces many genes involved in B cell expansion, whereas B cell receptor and helper T cell costimulation induce genes associated with B cell effector function. OCA-B expression is induced by both B cell receptor ligation alone and helper T cell costimulation, suggesting that OCA-B is involved in B cell expansion as well as B cell function. Accordingly, several genes involved in cell proliferation and signaling, such as Lck, Kcnn4, Cdc37, cyclin D3, B4galt1, and Ms4a11, have been identified as OCA-B-dependent genes. Further studies on the roles played by these genes in B cells will contribute to an understanding of B cell differentiation.

 

Identification and Characterization of a Novel OCA-B Isoform: Implications for a Role in B Cell Signaling Pathways

Xin Yu, Lu Wang†, Yan Luo, Robert G. Roeder
Immunity Feb 2001; 14(2): 157–167   http://dx.doi.org:/10.1016/S1074-7613(01)00099-1

OCA-B is a B lymphocyte–specific transcription coactivator that mediates tissue- and stage-restricted transcription of immunoglobulin genes. Earlier genetic studies revealed that OCA-B is essential for germinal center formation and production of secondary immunoglobulin isotypes. Biochemically purified OCA-B contains p35 and p34 isoforms, and a further analysis has now revealed that p35 is derived from a newly found isoform, p40. More importantly, it has been found that p35 is myristoylated in vivo and that this leads to dramatic changes (including localization to membrane compartments) in its properties. These results suggest that the p35 isoform of OCA-B has functions distinct from those of the nuclear p34 and that it might be a component of a signaling pathway that is required for late-stage B cell development.

 

The B cell–restricted function of immunoglobulin (Ig) promoters is mediated mainly by an octamer element (5′-ATGCAAAT-3′) that is conserved in virtually all Ig heavy (H) and light (L) chain gene promoters, as well as in some Ig enhancers (reviewed by Staudt and Lenardo, 1990). However, this same element is also a key central element for transcription of differentially regulated genes that include ubiquitously expressed small nuclear RNA genes (snRNA) and cell cycle-regulated histone H2B genes (reviewed inLuo et al., 1992). The regulatory functions of octamer elements, therefore, are likely dependent on transcription factors that bind this DNA sequence. The well-characterized octamer binding transcription factors include the ubiquitous Oct-1 and the B cell–enriched Oct-2, both of which belong to the POU family and share a conserved DNA binding structure called the POU domain (reviewed by Herr et al. 1988 and Wegner et al. 1993). It was originally thought that Oct-2 would account for the tissue-specific activity of Ig promoters, whereas Oct-1 would facilitate transcription of the ubiquitously expressed genes regulated through octamer elements (e.g., snRNA and histone H2B genes) Staudt et al. 1986, Cockerill and Klinken 1990 and Murphy et al. 1992. However, subsequent biochemical Pierani et al. 1990 and Luo et al. 1992 and genetic (Corcoran et al., 1993)analyses clearly demonstrated that this was not the case. Instead, the promoter specificity was shown to be due to an Oct-1 interacting factor called OCA-B (Luo et al., 1992), and the purification of related p35 and p34 isoforms with apparently equivalent activity in vitro (Luo and Roeder, 1995) set the stage for further studies of the structure and function of OCA-B.

Subsequent to the biochemical identification of OCA-B and its mechanism of action, cognate cDNAs were cloned using both biochemical (Luo and Roeder, 1995) and genetic screening Gstaiger et al. 1995 and Strubin et al. 1995 methods. Analyses of recombinant OCA-B (p34) function in cell-free systems and in transfection assays confirmed both physical and functional interactions with Oct-1 and Oct-2 (via their POU domains) on Ig promoters Gstaiger et al. 1995, Luo and Roeder 1995 and Strubin et al. 1995 and led to the definition of an N-terminal OCA-B domain that interacts with the Oct POU domainCepek et al. 1996, Gstaiger et al. 1996, Babb et al. 1997 and Chaseman et al. 1999 and a C-terminal activation domain that acts synergistically with Oct activation domains to recruit additional coactivators (Luo et al., 1998).

The physiological roles of OCA-B were further investigated by genetic disruption of OCA-B expression in mice Kim et al. 1996, Nielson et al. 1996 and Schubart et al. 1996. These studies showed that, although not required for early B cell development, OCA-B functions are essential both for germinal center formation and for efficient secondary Ig isotype production (including IgGs, IgA, and IgE). In accordance with the biochemical function of OCA-B in activating Ig promoter transcription, it has been found that the decrease of secondary antibody production in OCA-B-deficient mice is largely due to reduced levels of transcription from normally switched IgH chain loci, rather than a reduced capacity for class switching events per se Kim et al. 1996 and Schubart et al. 1996. Recent results further demonstrated that OCA-B plays an essential role in efficient transcription from switched IgH loci by directly regulating 3′ IgH enhancer function in conjunction with Oct-1 or Oct-2 Tang and Sharp 1999 and Stevens et al. 2000b. On the other hand, the lack of germinal center formation in OCA-B-deficient mice cannot be explained by reduced Ig isotype production, since these are two independent events in B cell development (Vajdy et al., 1995). Therefore, OCA-B may regulate germinal center formation by activating the expression of other target genes or by mediating signal pathways that in turn trigger a specific genetic program. At least two lines of evidence support this idea: (1) B cells lacking OCA-B are defective in the proliferative response to surface IgM cross-linking (Kim et al., 1996); (2) OCA-B expression, which is very low in early B cells but high in activated B cells in vivo, can be dramatically and synergistically induced in naive B cells by B cell stimuli (CD40L, Ig cross-linking, and IL4) that are required for germinal center formation (Qin et al., 1998).

Our findings in this report raise the possibility that OCA-B may be directly involved in B cell signaling pathways through novel mechanisms. We report the presence of a novel isoform of OCA-B (p40) that results from utilization of an upstream alternative translation initiation codon and that serves as a precursor to the p35 isoform of OCA-B. Relative to the conventional p34 OCA-B isoform, p35 shows distinct protein modification, subcellular localization, and transcriptional coactivator properties. The unique features of p35 suggest a novel function for this molecule in signal transduction.

 

Synergism with the Coactivator OBF-1 (OCA-B, BOB-1) Is Mediated by a Specific POU Dimer Configuration

Alexey Tomilin1, 2, #, Attila Reményi2, 4, #, Katharina Lins1, Hanne Bak2, Sebastian Leidel1, Gerrit Vriend3, Matthias Wilmanns4, Hans R Schöler1, 2
Cell   Dec 2000; 103(6):853–864  doi:10.1016/S0092-8674(00)00189-6

POU domain proteins contain a bipartite DNA binding domain divided by a flexible linker that enables them to adopt various monomer configurations on DNA. The versatility of POU protein operation is additionally conferred at the dimerization level. The POU dimer formed on the PORE (ATTTGAAATGCAAAT) can recruit the transcriptional coactivator OBF-1, whereas POU dimers formed on the consensus MORE (ATGCATATGCAT) or on MOREs from immunoglobulin heavy chain promoters (AT[G/A][C/A]ATATGCAA) fail to interact. An interaction with OBF-1 is precluded since the same Oct-1 residues that form the MORE dimerization interface are also used for OBF-1/Oct-1 interactions on the PORE. Our findings provide a paradigm of how specific POU dimer assemblies can differentially recruit a coregulatory activity with distinct transcriptional readouts.

Development of multicellular organisms is characterized by an intricate series of genetic and epigenetic events that generate the complex adult body from the unicellular zygote. A refined and sophisticated regulatory network that is established during embryogenesis reflects the complexity of organisms. Although embryonic development is a multistep process characterized by the sequential activation and repression of many genes, only a relatively small number of transcription factors are responsible for regulating the expression of developmental genes. This diversity in transcriptional control by a limited array of transcription factors is achieved through a complex network of interactions between these proteins and specific DNA sequences found in promoters and enhancers of developmental genes. The primary structure of these DNA elements defines the composition and architecture of the transcriptional activation complexes that ultimately control gene expression in the appropriate temporo-spatial context of the developing organism. For example, nonsteroid members of the nuclear receptor superfamily that possess a zinc-finger DNA binding domain operate by binding to the hormone response elements (HREs). HREs consist of two minimal core hexad sequences, AGGTCA, which can be configured into various functional motifs. The orientation and spacing between these two hexamers as well as subtle differences in their sequence dictate the identity and the mode (monomer, hetero-, or homodimer) of nuclear receptor binding that results in diverse effects on transcription (Mangelsdorf and Evans 1995).

The operation of members of the POU domain family of transcription factors is also highly dependent on the nature of cognate DNA elements. The 160 amino-acid-long DNA binding domain of these proteins is composed of two structurally independent subdomains: the POU-type homeodomain (POU-homeo or POUH), and the POU-specific domain (POUS) that are connected by a flexible linker region (27 and 36). POU domain proteins demonstrate impressive versatility in how they regulate transcription. This is due to several, often interdependent, factors: (1) flexible amino acid–base interaction, (2) variable orientation, spacing, and positioning of DNA-tethered POU subdomains relative to each other, (3) posttranslational modification, and (4) interaction with heterologous proteins (Herr and Cleary 1995).

POU domain proteins are able to bind to DNA cooperatively, thus conferring additional functional variability. The homo- and heterodimerization of Oct-1 and Oct-2 on immunoglobulin (Ig) heavy chain promoters (VH) provided evidence of cooperativity, with a yet unknown dimer arrangement (13, 16 and 23). The cis-elements are considered to consist of low-affinity heptamer and high-affinity octamer sites separated by two nucleotides (Full-size image (<1 K)ATFull-size image (<1 K)).

The pituitary-specific POU domain protein Pit-1 binds to DNA either as a homodimer or as a heterodimer with Oct-1 (Voss et al. 1991). Crystallographic studies determined the structure of a Pit-1 homodimer assembled on the synthetic motif ATGTATATACAT (referred to here as PitD) that had been derived from the natural Pit-1 cognate element within the prolactin gene promoter (ATATATATTCAT) (Jacobson et al. 1997). The structure of the Pit-1 POUS and POUH domains, and their docking onto DNA, are very similar to that observed in the cocrystal of the Oct-1 POU domain monomer with the octamer site (ATGCAAAT, Klemm et al. 1994). The Oct-1 POUS domain recognizes the ATGC subsite whereas the Pit-1 POUS domain binds to the sequence ATAC. However, the latter subsite lies on the opposite strand and, as a consequence, the orientation of POUS relative to the POUH domain is inverted (Jacobson et al. 1997).

Another mechanism outlining cooperative DNA binding by POU proteins was recently determined during the course of an Oct-4 target gene characterization (Botquin et al. 1998). The P alindromic O ct factor R ecognition E lement (PORE), ATTTGAAATGCAAAT (15 bp), of the Osteopontin (OPN) enhancer interacts with an Oct-4 dimer, thereby mediating strong transcriptional activation in preimplantation mouse embryos. Homo- and heterodimerization of other Oct factors like Oct-1 and Oct-6 on the PORE has also been demonstrated.

The aforementioned examples provide evidence of the various ways in which POU domain proteins are able to cooperatively bind to substrate DNA. The particular mode of binding employed is primarily defined by the DNA sequence. To address the question of whether diversity in cooperative binding is reflected in transcriptional regulation, we have assessed and compared the ability of two different types of POU dimers to interact with the coactivator OBF-1 (OCA-B, Bob-1). This coactivator synergistically interacts with Oct-1 and Oct-2 monomers bound to the octamer motif (18, 9, 17 and 33). We have investigated one type of POU dimer that is formed on the PORE and another that is formed on another palindromic DNA motif called MORE (M ore P ORE), ATGCATATGCAT. The data presented in this study provide an example of how POU domain molecules that bind to DNA in the same stoichiometry but in different configurations can differentially recruit a transcriptional coactivator to the promoter resulting in differential transcriptional activation.

B-cell-specific Coactivator OCA-B: Biochemical Aspects, Role in B-Cell Development and Beyond

Cold Spring Harb Symp Quant Biol 1999 64: 119-132;
http://dx.doi.org:/10.1101/sqb.1999.64.119

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