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Archive for the ‘Investment in Technological Breakthrough’ Category

Immune T-cell Regulation

Larry H. Bernstein, MD, FCAP, Curator

LPBI

Team Taps Immune T-Cell Regulators to Find Early Markers of Disease in Blood

An international team led by investigators in Sweden team used a series of array-based expression and methylomic profiling experiments to put together a so-called gene regulatory network for T cells differentiating into four T helper cell groups.

NEW YORK (GenomeWeb) – The regulatory network controlling differentiation of the immune system’s T cells may contain markers of disease that differ in individuals’ blood samples even before symptoms appear, according to a new study in Science Translational Medicine.

A validated gene regulatory network and GWAS identifies early regulators of T cell–associated diseases

Diseases may be easier to treat if caught early. However, means of identifying early disease—especially before symptoms appear—are in short supply. Now, Gustafsson et al.identify early regulators of T cell–mediated disease by finding transcription factors involved in T cell differentiation that are enriched in disease-associated polymorphisms. Three such experimentally validated transcription factors—GATA3, MAF, and MYB—and their targets were found to be differentially expressed in asymptomatic stages of two different T cell–mediated diseases—multiple sclerosis and seasonal allergic rhinitis. These data not only provide potential markers of disease development but also shed light on the mechanistic underpinning of T cell–mediated disease.

By cross-referencing transcription factors from this analysis with information from past genome-wide association studies on common human diseases, the group narrowed in on three transcription factors showing disease-related differences in their expression, SNP profiles, and splice variant patterns.

To test their hypothesis that the transcription factors might offer a window on symptom development, the researchers then tracked their expression in the blood of individuals with two relapsing diseases: multiple sclerosis and seasonal allergic rhinitis. Indeed, their results pointed to distinct expression profiles in those with or without symptoms, suggesting similar T-cell regulators could help in finding, treating, or perhaps preventing other common diseases down the road.

“[We think] that different functional variants of these three transcription factors or their expression levels … can be used to predict many T cell-associated diseases with high accuracy,” senior author Mikael Benson, a physician researcher with Linköping University’s Centre for Individualized Medicine in Sweden, told GenomeWeb.

“But,” he cautioned, “to really make it clinically relevant, I think you have to perform more studies of at-risk populations for certain diseases and study many different types of molecules, like methylation and proteins, and pick the most discriminating molecules for discriminating purposes.”

For the most part, diseases aren’t successfully diagnosed until symptoms are obvious, creating problems for those tasked with trying to treat conditions that may already have caused irreparable damage, Benson noted. Along with suffering for patients, this treatment failure leads to health care costs associated with both ineffective drugs and new drug development.

“Ideally, you should actually start treatment for preventing disease before symptoms occur, early in the disease process,” he explained.

In their search for early blood markers of disease, Benson and his colleagues drew from their ongoing work on T cells — a group of white blood cells tasked with patrolling the body to find and stave off forms of disease ranging from metabolic conditions and heart disease to inflammatory conditions and cancer.

“If you can tap into that information — what’s happening in those T cells — ideally you could diagnose disease processes early before symptoms occur,” Benson said.

With that in mind, the researchers did array-based gene expression and methylation profiling on T cells over time as they differentiated into four subsets of T helper cells, hoping to find regulators relevant to early-stage disease.

After assessing such in vitro T-cell differentiation events at six time points in four replicate experiments, the researchers plugged their data into a mathematical model designed by first author Mika Gustafsson, also at Linköping University, to tease apart factors involved in T-cell differentiation regulation.

And from the set of transcription factors pinned to T cell differentiation, the team narrowed in further by folding in information on the genes and variants implicated in common human diseases through past GWAS.

The search led to three transcription factors — GATA3, MYB, and MAF — that were confirmed as T-cell regulators through the researchers’ subsequent chromatin immunoprecipitation sequencing, gene expression profiling, and gene knockdown experiments in differentiated T helper 1 and T helper 3 cells.

From publicly available gene expression data, the researchers found that these three transcription factors and/or their target genes were differentially expressed in T cell-associated diseases such as rheumatoid arthritis, acute myeloid leukemia, or systemic lupus erythematosus.

Meanwhile, their own experiments in T cell samples from individuals with seasonal allergic rhinitis, individuals with MS, and unaffected control individuals suggested splicing patterns and gene expression of the three transcription factor markers shifted as symptoms appear in each of the relapsing diseases.

While there may not be a clear clinical need to test for allergic seasonal rhinitis, Benson explained, he and his colleagues believe a similar approach could be used for finding informative markers in individuals at risk of certain diseases such as hereditary breast cancer, for example, to diagnose, treat, or attempt to prevent disease.

“A likely continuation would be to study various forms of common cancer in at-risk populations to show clinical feasibility,” he said. “We believe that it’s probably easier to find drugs that can stop earlier disease processes than established ones.”

More generally, Benson said, it would be ideal to start testing markers identified through these sorts of studies over decades in prospective studies of thousands or hundreds of thousands of individuals who start out healthy, using longitudinal blood samples such as those planned for President Obama’s Precision Medicine Initiative.

sjwilliamspa

Seems odd to me that they had done microarray as T cell differentiate. I would have felt this has been done with other methodology such as differential display. The finding of GATA3 does not seem unique though as this factor is commonly differenctially expressed as cells differentiate and is involved in the differentiation of many cell types. It only seems to me coincidental that a cross search in expression databases revealed GATA involved in disease states, which it is however does not seem a fair comparison. They would need to constitutively express GATA3 in an autologous transfer to see if mice develop symtomology of these diseases, which does not seem totally plausible.

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blocking copper transport in cancer cells

Larry H. Bernstein, MD, FCAP, Curator

LPBI

 

DC_AC50, selective way of blocking copper transport in cancer cells

http://newdrugapprovals.org/2015/11/11/dc_ac50-selective-way-of-blocking-copper-transport-in-cancer-cells/

Dr. Melvin Crasto, World Drug Tracker

Jing Chen of Emory University School of Medicine, Hualiang Jiang of the Shanghai Institute of Materia Medica of the Chinese Academy of Sciences, Chuan He of the University of Chicago, and coworkers have now developed a selective way of blocking copper transport in cancer cells (Nat. Chem. 2015, DOI: 10.1038/nchem.2381). By screening a database of 200,000 druglike small molecules, the researchers discovered a promising compound, DC_AC50, for cancer treatment. They zeroed in on the compound by testing how well database hits inhibited a protein-protein interaction leading to copper transport and reduced proliferation of cancer cells.

 

Figure imgf000094_0001

DC_AC50

3-amino-N-(2-bromo-4,6-difluorophenyl)-6,7-dihydro-5H- cyclopenta [b] thieno [3,2-e] pyridine-2-carboxamide

licensed DC_AC50 to Suring Therapeutics, in Suzhou, China

INNOVATORS  Jing Chen of Emory University School of Medicine, Hualiang Jiang of the Shanghai Institute of Materia Medica of the Chinese Academy of Sciences, Chuan He of the University of Chicago, and coworkers

 

Developing small molecules that specifically inhibit human copper-trafficking proteins and an overview of the screening process.

http://www.nature.com/nchem/journal/vaop/ncurrent/images/nchem.2381-f1.jpg

 

COPPER TRANSPORT
Chaperone proteins (green) transfer copper ions to copper-dependent proteins (lilac) via ligand exchange between two cysteines (-SH groups) on each protein. DC_AC50 binds the chaperone and inhibits this interaction.
Credit: Nat. Chem.

Jing Chen of Emory University School of Medicine, Hualiang Jiang of the Shanghai Institute of Materia Medica of the Chinese Academy of Sciences,Chuan He of the University of Chicago, and coworkers have now developed a selective way of blocking copper transport in cancer cells (Nat. Chem. 2015, DOI: 10.1038/nchem.2381). By screening a database of 200,000 druglike small molecules, the researchers discovered a promising compound, DC_AC50, for cancer treatment. They zeroed in on the compound by testing how well database hits inhibited a protein-protein interaction leading to copper transport and reduced proliferation of cancer cells.

20151109lnp1-dca

http://cen.acs.org/content/cen/articles/93/web/2015/11/Agent-Fight-Cancer-Inhibiting-Copper/_jcr_content/articlebody/subpar/articlemedia_0.img.jpg/1447092911801.jpg

 

Scientists had already found a molecule, tetrathiomolybdate, that interferes with copper trafficking and have tested it in clinical trials against cancer. But tetrathiomolybdate is a copper chelator: It inhibits copper transport in cells by nonselectively sequestering copper ions. Sometimes, the chelator snags too much copper, inhibiting essential copper-based processes in normal cells and causing side effects.

In contrast, DC_AC50 works by inhibiting interactions between proteins in the copper-trafficking pathway: It prevents chaperone proteins, called Atox1 and CCS, from passing copper ions to enzymes that use them to run vital cellular processes. Cancer cells are heavy users of Atox1 and CCS, so DC_AC50 affects cancer cells selectively.

The team has licensed DC_AC50 to Suring Therapeutics, in Suzhou, China, for developing anticancer therapies. The group also plans to further tweak DC_AC50 to develop more-potent versions.

Thomas O’Halloran of Northwestern University, who has studied tetrathiomolybdate, comments that “the challenge in drug design is hitting one of these copper-dependent processes without messing with housekeeping functions that normal cells depend upon. DC_AC50 appears to block the function of copper metallochaperone proteins without interacting directly with their cargo, copper ions. As the first member of a new class of inhibitors, it provides a new way to interrogate the physiology of copper trafficking disorders and possibly intervene.”

PATENT

http://www.google.com/patents/WO2014116859A1?cl=en

 

Figure imgf000053_0003

COMPD IS LC-1 COMPD 50

 

NMR and mass spectral data: LC-1 (Compound 50)- 3-amino-N-(2-bromo-4,6-difluorophenyl)-6,7-dihydro-5H- cyclopenta [b] thieno [3,2-e] pyridine-2-carboxamide

Figure imgf000075_0001

1H NMR (CDCI3, 400 MHz) δ 9.15 (s, 1H), 7.61 (s, 1H), 7.13(m, 1H), 6.60 (m, 1H), 6.27 (s, 2H), 3.20 (t, 2H), 2.98 (t, 2H), 2.39 (m, 2H); ESI-MS (EI) m/z 422 (M+)

 

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Anti-malarial Agent Drug Discovery

Curator: Larry H. Bernstein, MD, FCAP

Supporting malaria elimination with 21st century antimalarial agent drug discovery

Thierry T. Diagana
   Novartis Institute for Tropical Diseases, 10 Biopolis Road, #05-01 Chromos, Singapore 138670, Singapore
Drug Discovery & Innovation  2015; 20(10)   http://www.e-ditionsbyfry.com/olive/ODE/DDT/Default.aspx?href=DDT/2015/10/01
The burden of malaria has been considerably reduced over recent years. However, to achieve disease elimination, drug discovery for the next generation needs to focus on blocking disease transmission and on targeting the liver-stage forms of the parasite. Properties of the ‘ideal’ new antimalarial drug and the key scientific and technological advances that have led to recent progress in antimalarial drug discovery are reviewed. Using these advances, Novartis has built a robust pipeline of next-generation antimalarials. The preclinical and clinical development of two candidate drugs: KAE609 and KAF156, provide a framework for the path to breakthrough treatments that could be taking us a step closer to the vision of malaria elimination.

 

Malaria is a devastating and often fatal disease caused by protozoan parasites from the Plasmodium genus. Owing to increased prevention and control measures, such as the introduction of insecticide-treated bed nets and use of artemisinin-based combination therapy, the burden of malaria has been reduced such that between 2000 and 2013 global malaria mortality rates decreased by 47% [1]. Nevertheless, in 2013 an estimated 584 000 individuals (90% from sub-Saharan Africa and 78% children <5 years of age) died from malaria [1]. The current challenge is whether malaria can be completely eliminated on a global scale. Several countries have now developed and started to implement malaria elimination strategies [2], but it is widely accepted that currently available drugs are not ideally suited for disease elimination campaigns [3]. Specifically, there is a need for safe single-dose therapies that are also suitable for mass drug administration to asymptomatic carriers and capable of blocking malaria transmission through the anopheles vector. In addition, chemoprophylaxis prevention requires drugs that are able to eliminate the liver-stage forms of the parasite (especially for Plasmodium vivax).  

The looming threat of artemisinin drug resistance [4–6], coupled with intense lobbying and the financial support of philanthropic organisations such as the Wellcome Trust and the Bill & Melinda Gates Foundation, as well as the creation of publicprivate partnerships such as the Medicines for Malaria Venture [7], triggered a recent surge in antimalarial drug discovery and development activities [8,9]. These research efforts are focused on identifying drugs with novel mechanisms of action. Ultimately, this should mitigate the risk of cross-resistance with existing antimalarials and, by targeting multiple stages of the malaria parasite lifecycle, facilitate prevention, radical cure and transmission blocking [10].

Over the past 10 years, recognition of the need for antimalarial agents with properties that differ from existing treatments has led to dramatic changes in the way in which new targets are identified and new drugs developed. Until very recently, no antimalarial drug with a novel mechanism of action had entered Phase II clinical trials since the hydroxy-1,4-naphthoquinone atovaquone more than 20 years ago [11]. An important milestone in malaria research, however, was achieved in early 2014 with the publication of the results of a Phase II trial of KAE609 [12], the first member of a novel class of antimalarials: the spiroindolones. KAE609 emerged from a malaria drug discovery effort led by the Novartis Institute for Tropical Diseases in partnership with the Genomics Institute of the Novartis Research Foundation, the Swiss Tropical and Public Health Institute, the Biomedical Primate Research Centre and the Medicines for Malaria Venture, with financial support from the Wellcome Trust. KAE609 is being further developed by Novartis aspart of the company’s efforts to contribute to global malaria elimination. This compound is the front-runner in a growing pipeline of antimalarials emerging from Novartis that also includes a second novel antimalarial, the imidazolopiperazine KAF156 [13,14] currently in clinical trials [15], and a preclinical programme aiming to develop inhibitors of phosphatidylinositol-4-OH kinase [PI(4)K], a novel drug target that operates across all the major lifecycle stages of the parasite in its host [16].  

Here, we review and discuss the latest scientific and technological advances in malaria drug discovery that have enabled the development of a robust Novartis drug portfolio, and offer some personal perspectives on the discovery and development of these novel antimalarial agents. A comprehensive overview of the global antimalarial pipeline has been the subject of another recent publication [8].

Scientific and technological advances in antimalarial   drug discovery   Beyond already well-exploited drug targets, such as the Plasmodium dihydrofolate reductase, dihydropteroate synthetase, cytochrome bc1 complex and the haemoglobin degradation pathway, there remains a dearth of novel validated targets. The sequencing of the Plasmodium falciparum genome [17] and use of modern genetics tools were expected to yield many attractive drug targets, reviewed by Winzeler 2008 [18]. However, few proposed targets have subsequently been chemically validated; most targets validated by genetic knockouts have not been tractable. A notable exception is the dihydroorotate dehydrogenase enzyme, which led to the identification of the clinical candidate DSM265 [19]; DSM265 clinical studies represent the first attempt clinically to validate a genetically identified target.  

A number of scientific and technological advances have recently enabled the rapid identification of clinical candidates and also enabled the discovery and chemical validation of novel malaria drug targets. Undoubtedly, the first important technological advance was the miniaturisation of Plasmodium growth assays [20,21]. This development made automated HTS possible and enabled Novartis and many other companies and academic groups to screen large compound libraries for chemical ‘starting points’ with promising antimalarial activity [21–23]. An open-access repository of screening data is available online at the ChEMBL – Neglected Tropical Disease archive ( https://www.ebi.ac.uk/ chemblntd ) [24]. The second advance has been the development of a wide array of genetic and biochemical techniques that have enabled rapid identification of the molecular targets of different screening hits [10,16,25–31].

An important barrier with respect to the elimination of malaria is the liver stage of the parasite lifecycle, because P. vivax can remain dormant in the liver as hypnozoites for many months or years [32]. Currently, the only treatment targeting the liver stage of vivax malaria is primaquine, which cannot be used in individuals with glucose-6-phosphate dehydrogenase deficiency, a common genetic abnormality in malaria endemic areas. However, there is also a new hypnozoiticidal compound in Phase III development: tafenoquine, which might offer another liver-stage treatment in the future [33,34]. The discovery of new liver-stage drugs has been hampered by the dearth of models to screen for activity against hypnozoites; until recently, only the in vivo Plasmodium-cynomolgi–simian malaria model was available. An important step towards the screening of novel hypnozoiticidal compounds was recently made with establishment of an in vitro assay that discriminates the activity of primaquine and atovaquone against the growing schizont and dormant hypnozoite [35–37]. It was this assay that eventually suggested the P. vivax radical cure potential of a novel class of blood-stage antimalarial drugs: the imidazolopyrazines, which target Plasmodium PI(4)K [16].  

The availability of new drugs that prevent the transmission of sexual-stage parasites (gametocytes) to mosquito vectors has also been recognised as a crucial component of future malaria elimination strategies [38]. This task has been aided by the recent development of a novel assay that utilises P. falciparum cell lines to measure the effects of tested compounds on gametocyte maturation and transmission [38]. A variety of in vitro assays have also been employed to show that early- and late-stage gametocytes are susceptible to KAE609 in a dose-dependent manner and that this agent reduces transmission to the vector, providing further evidence that blockage of transmission might be possible with new-generation antimalarials [39].

Another important advance in malaria research was the development and refinement of small animal models, reviewed by Vaughan et al. [40] and Kaushansky et al. [41]. Humanised mouse models, such as the severe combined immunodeficiency model, enable the study of blood- and liver-stage P. falciparum and have been used to establish the antimalarial potential of new drugs.  

As a result of these advances, the emerging global pipeline for new antimalarials [8,9] was identified using different discovery strategies (e.g. target- vs cell-based hits). To have maximum public health impact, novel antimalarial drugs must ideally fulfil a number of pharmacological and safety requirements throughout development. We describe the various approaches employed by Novartis and collaborators to ensure that drug candidates meet these key pharmacological requirements.

Preclinical development strategy   In the preclinical profiling stages of drug development, the overall goal is to ensure that the profile of a new drug candidate is compatible with the probable use of the compound in the clinic. To mitigate the risk of failure owing to a possible difference in activity between laboratory-adapted strains and clinical isolates, KAE609 was shown early to be as effective as artesunate in an ex vivo assay against field isolates of P. falciparum and P. vivax collected from areas of drug resistance [42,43]. As noted, there are several in vivo malaria models available for drug testing. The lethal Plasmodium berghei malaria mouse is inexpensive, rapid and enables the evaluation of cure (i.e. prevention of recrudescence) but species differences in drug sensitivity might warrant the use of the more expensive P. falciparum SCID model [19]. Potent antimalarial activity across Plasmodium species is generally desirable because it is suggestive of strong evolutionary conservation of the compound-binding site on its molecular target, which is a harbinger for a reduced risk of drug resistance development.  

In preclinical species, KAE609 displayed pharmacokinetic profiles upon oral dosing consistent with once-daily oral dosing in humans. In the P. berghei malaria mouse model, KAE609 demonstrated a fast onset of action and potently reduced parasitaemia. Importantly, KAE609 was the only one of the tested drugs (which included artesunate, artemether, chloroquine and mefloquine) to display single-dose cure efficacy [42]. P. berghei appears in vitro to be less sensitive to spiroindolones than P. falciparum and close analogues of KAE609 display faster clearance antimalarial properties in the P. falciparum SCID mouse (unpublished data).  

The imidazolopiperazine class of compounds, which includes KAF156, was also discovered and initially optimised primarily for its asexual blood-stage activity, but was later found to show liverstage activity in vitro (Fig. 1) [44]. KAF156 displayed potent parasitaemia reduction at doses lower than those of standard antimalarial drugs in blood-stage models, and also showed potent prophylactic activity in the P. berghei mouse model. Thus, preclinical data suggest that KAF156 could have clinical utility as a therapeutic and prophylactic antimalarial agent [45]. Similar to KAE609, the pharmacokinetic profile of KAF156 upon oral dosing in preclinical species is compatible with once-daily dosing. In terms of preclinical safety, oral doses of KAF156 were shown to be well-tolerated in studies of rodents and dogs, with no toxicities identified that would preclude use in humans.

New antimalarial drugs must also be fully tested in vitro with regard to the potential for drug–drug interactions to minimise the risk of adverse interactions with other anti-infective therapies frequently used in malaria-endemic countries, such as human immunodeficiency virus and tuberculosis drugs. Many existing antimalarial drugs carry some risk of cardiotoxicity through inhibition of hERG-encoded potassium channels [46,47]. Given that any novel antimalarial might be combined with some of these drugs, it is important to minimise the risk for cardiotoxicity through a thorough early evaluation of this risk in hERG in vitro assays and animal toxicology studies. In addition, because the populations most vulnerable to malaria are young children and pregnant women, the drugs need to be tested as early as possible with regard to their potential for reproductive toxicity, mutagenicity and genotoxicity. Because malaria is a tropical disease, it is also important to assess the risk of phototoxicity in in vitro and in vivo models [48]. KAF156 and KAE609 have been evaluated in these safety pharmacology assays and no significant risks have been identified [42,43,45]. Finally, the risk of drug resistance, together with suitability for combination with existing agents to minimise the risk of future resistance development, should also be assessed at an early stage [49]. Drug resistance to KAE609 and KAF156 can be generated in laboratory P. falciparum strains and, taking into account the frequency of mutations, the fitness of the mutants and the fold-shift drug resistance associated with single mutations, the overall risk of resistance is viewed as moderate.  

Clinical development strategy for new antimalarial   drugs   After Phase I healthy volunteer studies establish preliminary safety and the maximum tolerated dose of a novel agent, demonstration of the efficacy of a well-tolerated regimen predicted to deliver therapeutic and efficacious drug levels is required in a small proof-of-concept (PoC) Phase II study. This is usually performed in patients with uncomplicated malarial infection and low-tomoderate parasitaemia (<50 000 parasites/ml). Such PoC studies also offer the opportunity to investigate the pharmacokinetics, pharmacodynamics and tolerability of the drug in the target population. Assuming the success of the PoC study, additional Phase II studies might then be initiated to test whether single doses of the drug are sufficient to cure acute infections and to define the minimum inhibitory concentration (MIC) [50]. The final step before large-scale Phase III trials can be initiated is usually doserange-finding studies evaluating various combination treatments with other antimalarial drugs.

In a Phase I study (single and multiple ascending doses) in healthy adult volunteers [51], KAE609 showed dose-proportional pharmacokinetics (from 1 to 300 mg) with no significant food effects. It has been proposed that for fast-acting antimalarial drugs with a parasite reduction ratio of › 104 cure can theoretically be achieved in uncomplicated malaria patients if drug levels are maintained above the MIC for three-to-four Plasmodium lifecycles (144–192 h) [50]. In the KAE609 Phase I study, a single 200 mg dose yielded drug levels above the in vitro IC99 for more than 144 h, suggesting that a single-dose cure might be feasible. Although this is an enthralling possibility, the in vitro IC99 might not accurately predict the actual patient MIC and further patient trials are underway to determine whether single-dose cure can be achieved with KAE609 (see below).  

Subsequently, KAE609 underwent an open-label PoC trial involving 21 patients with P. falciparum or P. vivax mono-infection [12]. After treatment with 30 mg KAE609 daily for three days, parasites were cleared in a median of 12 h, an effect that is more rapid than that observed with artemisinin-based combination therapies. In addition, in the five patients for whom gametocytaemia was detected at baseline (all with vivax malaria), gametocytaemia was cleared by 8 h post-dose, confirming the potent transmission-blocking potential of this novel class of compounds. All patients recovered uneventfully, with no patients discontinuing treatment as a result of adverse events. Absorption of KAE609 was reliable and the terminal elimination half-life ( › 21 h) was fully consistent with once-daily dosing. KAE609 is currently under evaluation in another single-dose-range-finding Phase II trial that will assess efficacy, safety and pharmacokinetics in uncomplicated.

P. falciparum mono-infection and should provide information on the feasibility of a 28-day single-dose cure [52]. Another Phase II study will aim to identify the MIC of KAE609 in P. falciparum mono-infection [53]. In terms of resistance, in vitro selection resulted in strains with stable mutations, all mapping to the PfATP4 gene [42]. It is therefore important that KAE609 is combined with a second drug to protect it from the emergence of resistance, particularly if the drug is ultimately used as a singledose therapy. Several preclinical and clinical studies are underway or planned to evaluate potential drug partners to enable combination therapy in the clinic. A Phase IIb dose-ranging study and concurrent safety studies with the selected drug partner would follow, with a view to testing the optimal combination candidate in Phase III non-inferiority studies versus the appropriate comparator. The goal would then be to investigate the combination treatment in children and pregnant patients further. Following a strategy similar to KAE609, a Phase I study in healthy adults has been completed for KAF156 [54] and a Phase II PoC study in patients with uncomplicated P. vivax or P. falciparum infection is underway [15]. Further studies could also be conducted utilising a human sporozoite challenge model [55] to investigate the potential prophylactic activity of KAF156.  

Challenges and opportunities  

Thanks to significant investments over the past decade and technological advances in HTS, the current global pipeline of new antimalarial drug candidates is robust. Ironically, these successes are now challenged by the fact that we might have identified most   – if not all – mechanisms accessible through HTS of conventional compound libraries representing the currently accessible chemical space [24]. Indeed, we suspect that most of our compounds active against Plasmodium asexual stages act through a limited number of known mechanisms and molecular targets [e.g. ATP4, PI(4)K, dihydroorotate dehydrogenase, cytochrome bc1 complex and dihydrofolate reductase]. Accessing alternative mechanisms of action will probably require the use of different screening procedures with different culture conditions and assay readouts.  

Although most of the current clinical candidates have been identified for their asexual blood-stage activity, many have additional activity against the sexual stages and the developing liver stages, which could offer prevention and disease-transmissionblocking properties. Unfortunately, activity against the hypnozoite remains extremely rare and further investments to develop liver- and blood-stage culture systems for the P. vivax parasite are desperately needed.  

A number of challenges can also be identified with respect to the clinical stages of drug development. Firstly, for new investigational drugs, access to non-immune patients in a good clinical practice (GCP)-compliant setting is restricted to few countries (mainly in South-East Asia) and, therefore, our knowledge of the efficacy and safety of new drugs in diverse populations is relatively limited. Secondly, current methods of dose finding for new antimalarial drugs are imprecise, such that some agents have been introduced in the field at suboptimal doses. This potentially exacerbates emergence of resistance and results in inefficient treatment of the patient [50]. Recent recognition of the importance of identifying the optimal dose has led to proposals for alternative dosefinding strategies in specific patient populations, discussed by White [50]. In this context, the recent and promising results obtained in a malaria challenge model using healthy volunteers could allow some of these limitations to be overcome [56,57].  

A third key challenge for clinical development lies in the selection of the most appropriate partner drug for combination treatment and in the strategies employed to study these combinations once they are selected. Existing drugs, such as piperaquine or lumefantrine, have well-characterised safety profiles that could enable an accelerated development path towards registration, whereas new chemical entities might require additional preclinical and clinical safety studies. By contrast, combinations that consist of entirely new chemical entities could enable an aggressive global roll-out once the combination has been approved because there are no concerns over pre-existing drug resistance. For each novel drug combination the decision tree could vary slightly depending on the constituent drug profiles because many pharmacological factors can influence the optimal drug combination strategy. Of utmost importance is ensuring all new antimalarial drugs are made available to the most vulnerable populations as early as possible, which necessitates rapid clinical evaluation in children and pregnant women for whom the tolerance to safety risk is lowest.

Concluding remarks   Over the past decade, significant progress has been made in the global fight against malaria. More recently, a series of scientific and technological advances have led to the development of a new generation of antimalarial candidate drug that holds much promise. In particular, KAE609 and KAF156 might possess some of the attributes of an ‘ideal’ antimalarial and, in combination with other drugs, have the potential to become the first of a new generation of malaria therapies to reach the clinic. Although large-scale trials are still required and several research and clinical development issues remain to be addressed, new drugs such as KAE609 and KAF156 will help to ensure there is sustained pressure on the parasite and, thus, take us a step closer to eliminating this devastating disease.

FIGURE 1   Breaking the malaria life-cycle with novel antimalarials. * Potential for prophylactic activity and stage of action is based on in vitro/in vivo preclinical data.

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Real Time Coverage and eProceedings of The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35, 11/2 – 11/4/2015

Curator: Aviva Lev-Ari, PhD, RN

Article ID #194: Real Time Coverage and eProceedings of The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35, 11/2 – 11/4/2015. Published on 11/5/2015

WordCloud Image Produced by Adam Tubman

LIVE 11/2/2015 9AM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35

http://pharmaceuticalintelligence.com/2015/11/02/live-1122015-9am-the-15th-annual-emtech-mit-mit-media-lab-top-10-breakthrough-technologies-2015-innovators-under-35/

LIVE 11/2/2015 10:15AM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35

Augmented Knowledge

Rethinking Urban Infrastructure

Technology Spotlight: Cities

Driving Future of Mobility

http://pharmaceuticalintelligence.com/2015/11/02/live-1122015-1015am-the-15th-annual-emtech-mit-mit-media-lab-top-10-breakthrough-technologies-2015-innovators-under-35/

LIVE 11/2/2015 1:30PM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35

Data Transparency Online

http://pharmaceuticalintelligence.com/2015/11/02/live-1122015-130pm-the-15th-annual-emtech-mit-mit-media-lab-top-10-breakthrough-technologies-2015-innovators-under-35/

Young Innovators:

« RNAi, CRISPR and Gene Expression Diagnostic Revelations »

LIVE 11/2/2015 2PM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35

Infinite Energy

Big Data and Corporate Responsibility

http://pharmaceuticalintelligence.com/2015/11/02/live-1122015-2pm-the-15th-annual-emtech-mit-mit-media-lab-top-10-breakthrough-technologies-2015-innovators-under-35/

LIVE 11/2/2015 4PM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35

Global Entrepreneurship

Technology Spotlight: Big Data

Better Living Through Data

Lemelson-MIT Prize Honors

http://pharmaceuticalintelligence.com/2015/11/02/live-1122015-4pm-the-15th-annual-emtech-mit-mit-media-lab-top-10-breakthrough-technologies-2015-innovators-under-35/

LIVE 11/3/2015 9AM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35

Robots Among Us

Privacy and Security in the Digital Age

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LIVE 11/3/2015 11AM @The 15th Annual EmTech MIT – MIT Media Lab: Top 10 Breakthrough Technologies & 2015 Innovators Under 35

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Keeping Stem Cells in Check

Larry H. Bernstein, MD, FCAP, Curator

LPBI

Researchers track gene that keeps stem cells in check      

“Prkci” influences whether stem cells self-renew or differentiate into more specialized cell types

http://news.usc.edu/88168/researchers-probe-a-gene-that-keeps-stem-cells-in-check/

Prkci gene

http://news.usc.edu/files/2015/10/nestin_tuj_ratreated_escells_WEB-824×549.jpg

When it comes to stem cells, too much of a good thing isn’t wonderful: Producing too many new stem cells may lead to cancer; producing too few inhibits the repair and maintenance of the body.

In a paper published in Stem Cell Reports, USC researcher In Kyoung Mah, who works in the lab of Francesca Mariani, and colleagues at the University of California, San Diego, describe a key gene that maintains this critical balance. Called Prkci, the gene influences whether stem cells self-renew to produce more stem cells or differentiate into more specialized cell types, such as blood or nerves.

In their experiments, the team grew mouse embryonic stem cells, which lacked Prkci, into embryo-like structures in the lab. Without Prkci, the stem cells favored self-renewal, generating large numbers of stem cells and, subsequently, an abundance of secondary structures.

Upon closer inspection, the stem cells lacking Prkci had many activated genes typical of stem cells, and some activated genes typical of neural, cardiac and blood-forming cells. Therefore, the loss of Prkci can also encourage stem cells to differentiate into the progenitor cells that form neurons, heart muscle and blood.

Follow the pathway

Prkci achieves these effects by activating or deactivating a well-known group of interacting genes that are part of the “Notch signaling pathway.” In the absence of Prkci, the Notch pathway produces a protein that signals to stem cells to make more stem cells. In the presence of Prkci, the Notch pathway remains silent, and stem cells differentiate into specific cell types.

These findings have implications for developing patient therapies. Even though Prkci can be active in certain skin cancers, inhibiting it might lead to unintended consequences, such as tumor overgrowth. However, for patients with certain injuries or diseases, it could be therapeutic to use small molecule inhibitors to block the activity of Prkci, thus boosting stem cell production.

“We expect that our findings will be applicable in diverse contexts and make it possible to easily generate stem cells that have typically been difficult to generate,” said Mariani, principal investigator at the Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC.

Additional co-authors on the study include Rachel Soloff and Stephen Hedrick from UCSD. The research was supported by USC and the Robert E. and May R. Wright Foundation.

PRKCI protein kinase C, iota [ Homo sapiens (human) ]

http://www.ncbi.nlm.nih.gov/gene/5584

Official Symbol PRKCIprovided by HGNCOfficial
Full Name protein kinase C, iota , provided by HGNC

Primary source HGNC:HGNC:9404
See relatedEnsembl:ENSG00000163558; HPRD:02105; MIM:600539; Vega:OTTHUMG00000150214
Gene type protein coding RefSeq status

REVIEWED

Organism Homo sapiens
Lineage – Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Primates; Haplorrhini; Catarrhini; Hominidae; Homo
Also known asPKCI; DXS1179E; nPKC-iota
Summary: This gene encodes a member of the protein kinase C (PKC) family of serine/threonine protein kinases. The PKC family comprises at least eight members, which are differentially expressed and are involved in a wide variety of cellular processes. This protein kinase is calcium-independent and phospholipid-dependent. It is not activated by phorbolesters or diacylglycerol. This kinase can be recruited to vesicle tubular clusters (VTCs) by direct interaction with the small GTPase RAB2, where this kinase phosphorylates glyceraldehyde-3-phosphate dehydrogenase (GAPD/GAPDH) and plays a role in microtubule dynamics in the early secretory pathway. This kinase is found to be necessary for BCL-ABL-mediated resistance to drug-induced apoptosis and therefore protects leukemia cells against drug-induced apoptosis. There is a single exon pseudogene mapped on chromosome X. [provided by RefSeq, Jul 2008]

A Prkci gene keeps stem cells in check

Date:
October 30, 2015
Source:
University of Southern California – Health Sciences
Summary:
When it comes to stem cells, too much of a good thing isn’t wonderful: producing too many new stem cells may lead to cancer; producing too few inhibits the repair and maintenance of the body. Medical researchers now describe a key gene in maintaining this critical balance between producing too many and too few stem cells.

Newly-discovered gene controls stem cell production

|

A scientific team from the University of Southern California (USC) and the University of California, San Diego have described an important gene that maintains a critical balance between producing too many and too few stem cells. Called Prkci, the gene influences whether stem cells self-renew to produce more stem cells, or differentiate into more specialized cell types, such as blood or nerves.

When it comes to stem cells, too much of a good thing isn’t necessarily a benefit: producing too many new stem cells may lead to cancer; making too few inhibits the repair and maintenance of the body.

In their experiments, the researchers grew mouse embryonic stem cells, which lacked Prkci, into embryo-like structures in the laboratory. Without Prkci, the stem cells favored self-renewal, generating large numbers of stem cells and, subsequently, an abundance of secondary structures.

Upon closer inspection, the stem cells lacking Prkci had many activated genes typical of stem cells, and some activated genes typical of neural, cardiac, and blood-forming cells. Therefore, the loss of Prkci can also encourage stem cells to differentiate into the progenitor cells that form neurons, heart muscle, and blood.

Prkci achieves these effects by activating or deactivating a well-known group of interacting genes that are part of the Notch signaling pathway. In the absence of Prkci, the Notch pathway produces a protein that signals to stem cells to make more stem cells. In the presence of Prkci, the Notch pathway remains silent, and stem cells differentiate into specific cell types.

These findings have implications for developing patient therapies. Even though Prkci can be active in certain skin cancers, inhibiting it might lead to unintended consequences, such as tumor overgrowth. However, for patients with certain injuries or diseases, it could be therapeutic to use small molecule inhibitors to block the activity of Prkci, thus boosting stem cell production.

“We expect that our findings will be applicable in diverse contexts and make it possible to easily generate stem cells that have typically been difficult to generate,” said Francesca Mariani, Ph.D., principal investigator at the Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC.

Their study (“Atypical PKC-iota Controls Stem Cell Expansion via Regulation of the Notch Pathway”) was published in a Stem Cell Reports.

Atypical PKC-iota Controls Stem Cell Expansion via Regulation of the Notch Pathway
In Kyoung Mah,1 Rachel Soloff,2,3 Stephen M. Hedrick,2 and Francesca V. Mariani1, *
*Correspondence: fmariani@usc.edu    http://dx.doi.org/10.1016/j.stemcr.2015.09.021

Mah et al., Atypical PKC-iota Controls Stem Cell Expansion via Regulation of the Notch Pathway, Stem Cell Reports (2015), http://dx.doi.org/10.1016/j.stemcr.2015.09.021

The number of stem/progenitor cells available can profoundly impact tissue homeostasis and the response to injury or disease. Here, we propose that an atypical PKC, Prkci, is a key player in regulating the switch from an expansion to a differentiation/maintenance phase via regulation of Notch, thus linking the polarity pathway with the control of stem cell self-renewal. Prkci is known to influence symmetric cell division in invertebrates; however a definitive role in mammals has not yet emerged. Using a genetic approach, we find that loss of Prkci results in a marked increase in the number of various stem/progenitor cells. The mechanism used likely involves inactivation and symmetric localization of NUMB, leading to the activation of NOTCH1 and its downstream effectors. Inhibition of atypical PKCs may be useful for boosting the production of pluripotent stem cells, multipotent stem cells, or possibly even primordial germ cells by promoting the stem cell/progenitor fate.

The control of asymmetric versus symmetric cell division in stem and progenitor cells balances self-renewal and differentiation to mediate tissue homeostasis and repair and involves key proteins that control cell polarity. In the case of excess symmetric division, too many stem-cell-like daughter cells are generated that can lead to tumor initiation and growth. Conversely, excess asymmetric cell division can severely limit the number of cells available for homeostasis and repair (Go´mez-Lo´pez et al., 2014; Inaba and Yamashita, 2012). The Notch pathway has been implicated in controlling stem cell self-renewal in a number of different contexts (Hori et al., 2013). However, how cell polarity, asymmetric cell division, and the activation of determinants ultimately impinges upon the control of stem cell expansion and maintenance is not fully understood. In this study, we examine the role of an atypical protein kinase C (aPKC), PRKCi, in stem cell self-renewal and, in particular, determine whether PRKCi acts via the Notch pathway.

PKCs are serine-threonine kinases that control many basic cellular processes and are typically classified into three subgroups—conventional, novel, and the aPKCs iota and zeta, which, in contrast to the others, are not activated by diacylglyceride or calcium. The aPKC proteins are best known for being central components of an evolutionarily conserved Par3-Par6-aPKC trimeric complex that controls cell polarity in C. elegans, Drosophila, Xenopus, zebrafish, and mammalian cells (Suzuki and Ohno, 2006).

Before Notch influences stem cell self-renewal, the regulation of cell polarity, asymmetric versus symmetric cell division, and the segregation of cell fate determinants such as NUMB may first be required (Knoblich, 2008). For example, mutational analysis in Drosophila has demonstrated that the aPKC-containing trimeric complex is required for maintaining polarity and for mediating asymmetric cell division during neurogenesis via activation and segregation of NUMB (Wirtz-Peitz et al., 2008). NUMB then functions as a cell fate determinant by inhibiting Notch signaling and preventing self-renewal (Wang et al., 2006). In mammals, the PAR3-PAR6-aPKC complex also can bind and phosphorylate NUMB in epithelial cells and can regulate the unequal distribution of Numb during asymmetric cell division (Smith et al., 2007). During mammalian neurogenesis, asymmetric division is also thought to involve the PAR3-PAR6-aPKC complex, NUMB segregation, and NOTCH activation (Bultje et al., 2009).

Mice deficient in Prkcz are grossly normal, with mild defects in secondary lymphoid organs (Leitges et al., 2001). In contrast, deficiency of the Prkci isozyme results in early embryonic lethality at embryonic day (E)9.5 (Seidl et al., 2013; Soloff et al., 2004). A few studies have investigated the conditional inactivation of Prkci; however, no dramatic changes in progenitor generation were detected in hematopoietic stem cells (HSCs) or the brain (Imai et al., 2006; Sengupta et al., 2011), although one study found evidence of a role for Prkci in controlling asymmetric cell division in the skin (Niessen et al., 2013). Analysis may be complicated by functional redundancy between the iota and zeta isoforms and/or because further studies perturbing aPKCs in specific cell lineages and/or at specific developmental stages are needed. Therefore, a complete picture for the requirement of aPKCs at different stages of mammalian development has not yet emerged.

Here, we investigate the requirement of Prkci in mouse cells using an in vitro system that bypasses early embryonic lethality. Embryonic stem (ES) cells are used to make embryoid bodies (EBs) that develop like the early post-implantation embryo in terms of lineage specification and morphology and can also be maintained in culture long enough to observe advanced stages of cellular differentiation (Desbaillets et al., 2000). Using this approach, we provide genetic evidence that inactivation of Prkci signaling leads to enhanced generation of pluripotent cells and some types of multipotent stem cells, including cells with primordial germ cell (PGC) characteristics. In addition, we provide evidence that aPKCs ultimately regulate stem cell fate via the Notch pathway

Figure 1. Prkci/ EBs Contain Cells with Pluripotency Characteristics (A and A0 ) Day (d) 12 heterozygous EBs have few OCT4/E-CAD+ cells, while null EBs contain many in clusters at the EB periphery. Inset: OCT4 (nucleus)/E-CAD (cytoplasm) double-positive cells. (B and B0 ) Adjacent sections in a null EB show that OCT4+ cells are likely also SSEA1+. (C) Dissociated day-12 Prkci/ EBs contain five to six times more OCT4+ and approximately three times more SSEA1+ cells than heterozygous EBs (three independent experiments). (D and D0 ) After 2 days in ES cell culture, no colonies are visible in null SSEA1 cultures while present in null SSEA1+ cultures (red arrows). (E–E00) SSEA1+ sorted cells can be maintained for many passages, 27+. (E) Prkci+/ sorted cells make colonies with differentiated cells at the outer edges (n = 27/35). (E0 ) Null cells form colonies with distinct edges (n = 39/45). (E00) The percentage of undifferentiated colonies is shown. ***p < 0.001.
(F) Sorted null cells express stem cell and differentiation markers at similar levels to normal ES cells (versus heterozygous EBs) (three independent experiments). (G) EBs made from null SSEA1+ sorted cells express germ layer marker genes at the indicated days. Error bars indicate mean ± SEM, three independent experiments. Scale bars, 100 mm in (A, D, and E); 25 mm in (B). See also Figure S1.

Prkci/ Cultures Have More Pluripotent Cells Even under Differentiation Conditions First, we compared Prkci null EB development to that of Prkci/ embryos. Consistent with another null allele (Seidl et al., 2013), both null embryos and EBs fail to properly cavitate (Figures S1A and S1B). The failure to cavitate is unlikely to be due to the inability to form one of the three germ layers, as null EBs express germ-layer-specific genes (Figure S1E). A failure of cavitation could alternatively be caused by an accumulation of pluripotent cells. For example, EBs generated from Timeless knockdown cells do not cavitate and contain large numbers of OCT4-expressing cells (O’Reilly et al., 2011). In addition, EBs generated with Prkcz isoform knockdown cells contain OCT4+ cells under differentiation conditions (Dutta et al., 2011; Rajendran et al., 2013). Thus, we first evaluated ES colony differentiation by alkaline phosphatase (AP) staining. After 4 days without leukemia inhibitory factor (LIF), Prkci/ ES cell colonies retained crisp boundaries and strong AP staining. In contrast, Prkci+/ colonies had uneven colony boundaries with diffuse AP staining (Figures S1F–S1F00). To definitively detect pluripotent cells, day-12 EBs were assayed for OCT4 and E-CADHERIN (E-CAD) protein expression. Prkci+/ EBs had very few OCT4/E-CAD double-positive cells (Figure 1A); however, null EBs contained large clusters of OCT4/E-CAD double-positive cells, concentrated in a peripheral zone (Figure 1A0 ). By examining adjacent sections, we found that OCT4+ cells could also be positive for stage-specific embryonic antigen 1 (SSEA1) (Figures 1B and 1B0 ). Quantification by fluorescence-activated cell sorting (FACS) analysis showed that day-12 Prkci/ EBs had more OCT4+ and SSEA1+ cells than Prkci+/ EBs (Figure 1C). We did not find any difference between heterozygous and wild-type cells with respect to the number of OCT4+ or SSEA1+ cells or in their levels of expression for Oct4, Nanog, and Sox2 (Figures S1I, S1I0 and S1J). However, we did find that Oct4, Nanog, and Sox2 were highly upregulated in OCT4+ null cells (Figure S1G). Thus, together, these data indicate that Prkci/ EBs contain large numbers of pluripotent stem cells, despite being cultured under differentiation conditions.

Functional Pluripotency Tests If primary EBs have a pluripotent population with the capacity to undergo self-renewal, they can easily form secondary EBs (O’Reilly et al., 2011). Using this assay, we found that more secondary EBs could be generated from Prkci/ versus Prkci+/ EBs, especially at days 6, 10, and 16; even when plated at a low density to control for aggregation (Figure S1H). To test whether SSEA1+ cells could maintain pluripotency long term, FACS-sorted Prkci/ SSEA1+ and SSEA1 cells were plated at a low density and maintained under ES cell culture conditions. SSEA1 cells were never able to form identifiable colonies and could not be maintained in culture (Figure 1D). SSEA1+ cells, however, formed many distinct colonies after 2 days of culture, and these cells could be maintained for over 27 passages (Figures 1D0 , 1E0 , and 1E00). Prkci+/ SSEA1+ cells formed colonies that easily differentiated at the outer edge, even in the presence of LIF (Figure 1E). In contrast Prkci/ SSEA1+ cells maintained distinct round colonies (Figure 1E0 ). Next, we determined whether null SSEA1+ cells expressed pluripotency and differentiation markers similarly to normal ES cells. Indeed, we found that Oct4, Nanog, and Sox2 were upregulated in both null SSEA1+ EB cells and heterozygous ES cells. In addition, differentiated markers (Fgf5, T, Wnt3, and Afp) and tissue stem/progenitor cell markers (neural: Nestin, Sox1, and NeuroD; cardiac: Nkx2-5 and Isl1; and hematopoietic: Gata1 and Hba-x) were downregulated in both SSEA1+ cells and heterozygous ES cells (Figure 1F). SSEA1+ cells likely have a wide range of potential, since EBs generated from these cells expressed markers for all three germ layers (Figure 1G). In addition, as expected, EBs made from null SSEA1+ cells were (F) Sorted null cells morphologically abnormal, similar to the EBs made from unsorted Prkci/ ES cells (Figure S1G0 ). Thus, taken together, several assays indicate that the OCT4 and SSEA1+ populations enriched in null EBs represent pluripotent stem cells that can self-renew and have broad differentiation capacity.

ERK1/2 Signaling during EB Development Stem cell self-renewal has been shown to require the activation of the JAK/STAT3 and PI3K/AKT pathways and the inhibition of ERK1/2 and GSK3 pathways (Kunath et al., 2007; Niwa et al., 1998; Sato et al., 2004; Watanabe et al., 2006). We found that both STAT3 and phosphorylated STAT3 levels were not grossly altered and that the p-STAT3/STAT3 ratio was similar between heterozygous and null ES cells and EBs (Figures S2A and S2B). In addition we did not see any difference in AKT, pAKT, or b-CATENIN levels when comparing heterozygous to null ES cells or EBs (Figures S2A and S2C). Thus, the effects observed by the loss of Prkci are unlikely to be due to a significant alteration in the JAK/STAT3, PI3K/AKT, or GSK3 pathways.

Next, we investigated ERK1/2 expression and activation. Consistent with other studies showing ERK1/2 activation to be downstream of Prkci in some mammalian cell types (Boeckeler et al., 2010; Litherland et al., 2010), pERK1/2 was markedly inactivated in Prkci null versus heterozygous ES cells. In addition, during differentiation, null EBs displayed strong pERK1/2 inhibition early (until day 6). Later, pERK1/2 was activated strongly, as the EB began differentiating (Figures 2A and 2B). By immunofluorescence, pERK1/2 was strongly enriched in the columnar epithelium of control EBs, while overall levels were much lower in Prkci/ EBs (Figure 2C). In addition, high OCT4 expression correlated with a marked inactivation of pERK1/2 (Figure 2C). Next, we examined Prkci/ SSEA1+ cells by western blot. We found that SSEA1+ cells isolated from day-12 null EBs had pSTAT3 expression levels similar to whole EBs, while pERK1/2 levels were low (Figure 2D). Thus, these experiments indicate that the higher numbers of pluripotent cells in null EBs correlate with a strong inactivation of ERK1/2.

Figure 2. Prkci and Pluripotency Pathways (A) ERK1/2 phosphorylation (Y202/Y204) is reduced in null ES cells and early day (d)-6 null EBs compared to heterozygous EBs and strongly increased at later stages. The first lane shows ES cells activated (A) by serum treatment 1 day after serum depletion. (B) Quantification of pERK1/2 normalized to non-phosphorylated ERK1/2 (three independent experiments; mean ± SEM; **p < 0.01). (C) pERK1/2 Y202/Y204 is strongly expressed in the columnar epithelium of heterozygous EBs that have just cavitated. Null EBs have lower expression. OCT4 and pERK1/2 expression do not co-localize. Scale bar, 100 mm. (D) pERK1/2Y202/Y204 levels are lower in null SSEA1+ sorted cells than in heterozygous or in null day-12 EBs that have undergone further differentiation. pSTAT3 and STAT levels are unchanged. See also Figure S2.

Neural Stem Cell Fate Is Favored in Prkci/ EBs It is well known that ERK/MEK inhibition is not sufficient for pluripotent stem cell maintenance (Ying et al., 2008); thus, other pathways are likely involved. Therefore, we used a TaqMan Mouse Stem Cell Pluripotency Panel (#4385363) on an OpenArray platform to investigate the mechanism of Prkci action. Day 13 and day 20 Prkci/ EBs expressed high levels of pluripotency and stemness markers versus heterozygous EBs, including Oct4, Utf1, Nodal, Xist, Fgf4, Gal, Lefty1, and Lefty2. However, interestingly, EBs also expressed markers for differentiated cell types and tissue stem cells, including Sst, Syp, and Sycp3 (neural-related genes), Isl1 (cardiac progenitor marker), Hba-x, and Cd34 (hematopoietic markers). Based on this first-pass test, we sought to determine whether loss of Prkci might favor the generation of neural, cardiac, and hematopoietic cell types and/or their progenitors.

First, we found that null EBs contained many more NESTIN- and PAX6-positive cells than heterozygous EBs (Figures 3A and 3B; Figures S3A and S3B) (neural stem A and progenitor markers) (Sansom et al., 2009; Tohyama et al., 1992). In addition, quantification of PAX6 immuno- fluorescence (easier to quantify because of its nuclear localization) using a pixel count method (Fogel et al., 2012) revealed more abundant PAX6+ cells in null EBs versus heterozygous EBs. This difference was no longer evident at day 16, presumably because most of the new neural progenitors had differentiated (Figure 3D). Indeed, differentiated neuronal markers MAP2 and TUJ1 could be expressed in null cell cultures (Figures 3C and 3C0 ). Retinoic acid (RA) treatment both in EBs and ES cells promotes neurogenesis (Xu et al., 2012). We found that, even under RA induction, null cultures contained a larger population of NESTIN+ and a smaller population of TUJ1+ cells when compared to heterozygous cultures (Figures 3E and 3F). Again, null neural progenitors were capable of undergoing some differentiation, since we could find cells expressing NEUROD, NEUN, and MAP2 (Figures 3F0 –3F000). We also assessed neurogenesis in monolayer culture, using media that promotes neural stem cell generation supplemented with a low concentration of RA (Xu et al., 2012). Similar to the EB assay, we found that null ES cells generated a larger NESTIN+ and smaller TUJ1+ population compared to heterozygous ES cells (Figures S3C and S3D). Like in EBs, MAP2- and TUJ1-positive cells could still be found in the null cultures (Figure S3D0 ). Thus, using several different neural-induction assays, we found that the absence of Prkci correlates with the production of more neural progenitors and that, although these cells may favor self-renewal, they are still capable of progressing toward differentiation.

Figure 3. Neural Stem Cell Populations Are Increased in Null EBs (A–C0 ) Prkci/ EBs (B) have more NESTINpositive cells than Prkci+/ EBs (A). (C and C0 ) MAP2 and TUJ1 are expressed in null EBs, similarly to heterozygous EBs (data not shown). (D) EBs were assessed for PAX6 expression, and the images were used for quantification (Figures S3A and S3B). The pixel count ratio of PAX6+ cells in null EBs (green) is substantially higher than that found in heterozygous EBs (black) (three independent experiments; mean ± SEM; *p < 0.05). (E–F000) Day 4 after RA treatment, Prkci/ EBs have more NESTIN- than TUJ1-positive neurons (E and F). However, null cells can still terminally differentiate into NEUROD-, NEUN-, and MAP2-positive cells (F0 –F000). Scale bars, 25 mm in (A and C) and 50 mm in (E). See also Figure S3.

The Generation of Cardiomyocyte and Erythrocyte Progenitors Is Also Favored Next, we examined ISL1 expression (a cardiac stem cell marker) by immunofluorescence and found that Prkci/ EBs contained larger ISL1 clusters compared with Prkci+/ EBs; this was confirmed using an image quantification assay (Figures 4A, 4A0 , and 4C). Differentiated cardiac cells and ventral spinal neurons can also express ISL1 (Ericson et al., 1992); therefore, we also examined Nkx2-5 expression, a better stem cell marker and regulator of cardiac progenitor determination (Brown et al., 2004), by RT-PCR and immunofluorescence. In null EBs, Nkx2-5 was upregulated (Figure 4D). In addition, in response to RA, which can promote cardiac fates in vitro (Niebruegge et al., 2008), cells expressing NKX2-5 were more prevalent in null versus heterozygous EBs (Figures 4B and 4B0 ).The abundant cardiac progenitors found in null EBs were still capable of undergoing differentiation (Figures 4E–4F0 ). Indeed, more cells exhibited the striated pattern characteristic of a-ACTININ in null versus heterozygous EBs with RA induction (Figures 4F and 4F0 ). In addition, many more Prkci/ EBs were beating after days 6 and 12 of culture (Figure 4G).

Figure 4. Cardiomyocyte and Erythrocyte Progenitors Are Increased in Prkci/ EBs (A–F0 ) In (A, A0 , E, and E0 ), Prkci/ EBs cultured without LIF have more ISL1 (cardiac progenitor marker) and a-ACTININ-positive cells compared to heterozygous EBs. (C) At day (d) 9, the pixel count ratio for ISL1 expression indicates that null EBs (green) have larger ISL1 populations than heterozygous EBs (black) (three independent experiments, n = 20 heterozygous EBs, 21 null EBs total; mean ± SEM; *p < 0.05). In (B, B0 , D, F, and F0 ), RA treatment induces more NKX2-5 (both nuclear and cytoplasmic) and a-ACTININ expression in null EBs. Arrows point to fibers in (F0 ). (G) Null EBs (green) generate more beating EBs with RA treatment compared to heterozygous EBs (black) (four independent experiments; mean ± SEM; *p < 0.05, ***p < 0.001). (H) Dissociated null EBs of different stages (green) generate more erythrocytes in a colony-forming assay (CFU-E) (four independent experiments; mean ± SEM; **p < 0.01). (I) Examples of red colonies. (J) Gene expression for primitive HSC markers is upregulated in null EBs (relative to heterozygous EBs) (three independent experiments; mean ± SEM). Scale bars, 50 mm in (A, B, and E); 100 mm in (F), and 25 mm in (I). See also Figure S4.

Hba-x expression is restricted to yolk sac blood islands and primitive erythrocyte populations (Lux et al., 2008; Trimborn et al., 1999). Cd34 is also a primitive HSC marker (Sutherland et al., 1992). Next, we determined whether the elevated expression of these markers observed with OpenArray might represent higher numbers of primitive hematopoietic progenitors. Using a colony-forming assay (Baum et al., 1992), we found that red colonies (indicative of erythrocyte differentiation; examples in Figure 4I) were produced significantly earlier and more readily from cells isolated from null versus heterozygous EBs (Figure 4H). By quantitative real-time PCR, upregulation of Hba-x and Cd34 genes confirmed the OpenArray results (Figure 4J). In addition, we found Gata1, an erythropoiesis-specific factor, and Epor, an erythropoietin receptor that mediates erythroid cell proliferation and differentiation (Chiba et al., 1991), to be highly upregulated in null versus heterozygous EBs (Figure 4J). These data suggest that the loss of Prkci promotes the generation of primitive erythroid progenitors that can differentiate into erythrocytes.

To determine whether the aforementioned tissue stem cells identified were represented in the OCT4+ population that we described earlier, we examined the expression of PAX6, ISL1, and OCT4 in adjacent EB sections. We found that cells expressing OCT4 appeared to represent a distinct population from those expressing PAX6 and ISL1 (although some cells were PAX6 and ISL1 double-positive) (Figures S4A–S4C).

Prkci/ Cells Are More Likely to Inherit NUMB/aNOTCH1 Symmetrically The enhanced production of both pluripotent and tissue stem cells suggests that the mechanism underlying the action of Prkci in these different contexts is fundamentally similar. Because the Notch pathway controls stem cell self-renewal in many contexts (Hori et al., 2013), and because previous studies implicated a connection between PRKCi function and the Notch pathway (Bultje et al., 2009; Smith et al., 2007), we examined the localization and activation of a key player in the Notch pathway, NUMB, (Inaba and Yamashita, 2012). Differences in NUMB expression were first evident in whole EBs, where polarized expression was evident in the ectodermal and endodermal epithelia of heterozygous EBs, while Prkci/ EBs exhibited a more even distribution (Figures 5A–5B0 ). To more definitively determine the inheritance of NUMB during cell division, doublets undergoing telophase or cytokinesis were scored for symmetric (evenly distributed in both cells) or asymmetric (unequally distributed) NUMB localization (examples: Figures 5C and 5C0 ). In dissociated day-10 EBs, Prkci+/ doublets displayed somewhat less symmetric versus asymmetric inheritance, while Prkci/ doublets exhibited nearly four times more symmetric versus asymmetric inheritance (Figure 5D). Although individual cells from null EBs that were OCT4+ or PAX6+ more likely to exhibit non-polarized NUMB distribution (Figures S5A and S5B), we decided to use an assay that allowed for FACS purifi- cation, followed by the more stringent doublet assay. Therefore, we chose CD24 (heat-stable antigen; BA-1), a cell-surface marker that is highly expressed in pre-differentiated neurons and neuroblasts (Pruszak et al., 2009), and tested this marker as a method to enrich for cells destined to differentiate into neurons (see Supplemental Experimental Procedures). To assess NUMB localization, FACSsorted CD24 cells isolated from the RA-treated EBs were then put in culture for 24 hr, and doublets were scored. Both Prkci/ CD24high and CD24low doublets exhibited more symmetric versus asymmetric NUMB localization when compared to Prkci+/ doublets (Figure 5E) (>23 more was observed for CD24low doublets; 1.5 ± 0.25 [null] versus 0.67 ± 0.2 [heterozygous]). Thus, in summary, loss of Prkci favors the generation of cells with symmetric NUMB distribution, even during EB differentiation. In addition, in situations where neurogenesis is stimulated (RA treatment), loss of Prkci favors symmetric NUMB distribution in both the CD24high/low subpopulations.

Because NUMB can be directly phosphorylated by aPKCs (both PRKCi and PRKCz) (Smith et al., 2007; Zhou et al., 2011), loss of Prkci might be expected to lead to decreased NUMB phosphorylation. Three NUMB phosphorylation sites—Ser7, Ser276, and Ser295—could be aPKC mediated (Smith et al., 2007). By immunofluorescence, we found that one of the most well-characterized sites (Ser276), was strongly inactivated in null versus heterozygous EBs, especially in the core (Figures 5F and 5G). Western analysis also confirmed that the levels of pNUMB (Ser276) were decreased in null versus heterozygous EBs (Figure S5F). Thus, genetic inactivation of Prkci leads to a marked decrease in the phosphorylation status of NUMB. Notch pathway inhibition by NUMB has been observed in flies and mammals (Berdnik et al., 2002; French et al., 2002). Therefore, we investigated whether reduced Numb activity in Prkci/ EBs might lead to enhanced NOTCH1 activity and the upregulation of the downstream transcriptional readouts (Meier-Stiegen et al., 2010). An overall increase in NOTCH1 activation was supported by western blot analysis showing that the level of activated NOTCH1 (aNOTCH1) was strongly increased in day 6 and day 10 null versus heterozygous EBs (Figure S5G). This was supported by immunofluorescence in EBs, where widespread strong expression of aNOTCH1 was seen in most null cells (Figures 5I and 5I0 ), while in heterozygous EBs, this pattern was observed only in the OCT4+ cells (Figures 5H and 5H0 ).

Figure 5. Prkci/ Cells Preferentially Inherit Symmetric Localization of NUMB and aNOTCH1 and Notch Signaling Is Required for Stem Cell Self-Renewal in Null Cells (A–B0 ) In (A and B), day (d)-7 heterozygous EBs have polarized NUMB localization within epithelia and strong expression in the endoderm, while null EBs have a more even distribution. (A0 and B0 ) Enlarged views. (C and C0 ) Asymmetric and symmetric NUMB expression examples. (D) Doublets from day-10 null EBs have more symmetric inheritance when compared to day-10 heterozygous doublets (three independent experiments; mean ± SEM; **p < 0.01). A red line indicates a ratio of 1 (equal percent symmetric and asymmetric). (E) CD24 high null doublets exhibited more symmetric NUMB inheritance than CD24 high heterozygous doublets (three independent experiments; mean ± SEM; *p < 0.05). A red line indicates where the ratio is 1. (F and G) Decreased pNUMB (Ser276) is evident in the core of null versus heterozygous EBs (n = 10 of each genotype). (H–I0 ) In (H and I), aNOTCH1 is strongly expressed in heterozygous EBs, including both OCT4+ and OCT4 cells, while strong aNOTCH1 expression is predominant in OCT4+ cells of null EBs (n = 10 of each genotype)). (H0 and I0 ) Enlarged views of boxed regions. OCT4+ cells are demarcated with dotted lines. (J and J0 ) OCT4+ cells express HES5 strongly in the nucleus (three independent experiments). (K) Null doublets from dissociated EBs have more symmetric aNOTCH1 inheritance compared to heterozygous doublets (three independent experiments; mean ± SEM; **p < 0.01). A red line indicates where the ratio is 1. (L) CD24high Prkci/ doublets exhibit more symmetric aNOTCH1 than CD24high heterozygous doublets (three independent experiments; mean ± SEM; *p < 0.05). A red line indicates where the ratio is 1. (M and M0 ) Examples of asymmetric and symmetric aNOTCH1 localization. (N and O) Day-3 DMSO-treated null ES colonies show strong AP staining all the way to the colony edge in (N). Treatment with 3 mM DAPT led to more differentiation in (O). (P–R) OCT4 is strongly expressed in day-4 DMSO-treated null ES cultures (P). With DAPT (Q,R), OCT4 expression is decreased. (S) Working model: In daughter cells that undergo differentiation, PRKCi can associate with PAR3 and PAR6. NUMB is recruited and directly phosphorylated. The activation of NUMB then leads to an inhibition in NOTCH1 activation and stimulation of a differentiation/maintenance program. In the absence of Prkci, the PAR3/PAR6 complex cannot assemble (although it may do so minimally with Prkcz). NUMB asymmetric localization and phosphorylation is reduced. Low levels of pNUMB are not sufficient to block NOTCH1 activation, and activated NOTCH1 preserves the stem cell self-renewal program. We suggest that PRKCi functions to drive differentiation by pushing the switch from an expansion phase that is symmetric to a differentiation and/or maintenance phase that is predominantly asymmetric. In situations of low or absent PRKCi, we propose that the expansion phase is prolonged. Scale bars, 50 mm in (A, B, F, G, H, I, J, J0 , P–R); 200 mm in (A0 and B0 ); 25 mm in (C, C0 , M, and M0 ); and 100 mm in (H0 , I0 , N, and O). See also Figure S5.

To examine the localization of aNOTCH1 and to better quantify the results seen in Figures 5H and 5I, doublets from dissociated EBs were scored. As seen with NUMB localization, null doublets were more likely to have symmetric localization of aNOTCH1 in comparison to heterozygous doublets (Figure 5K; examples in Figures 5M and 5M0 ). In addition, both CD24high and CD24low doublets from RA-treated null EBs were more likely to exhibit symmetric aNOTCH1 distribution versus doublets from RA-treated heterozygous EBs (Figure 5L; 3.46 ± 0.8 [null] versus 0.59 ± 0.06 [heterozygous] in CD24low doublets). In addition, by RT-PCR, the expression of Notch downstream genes Hes1, Hes5, Hey1, and Hey2 was increased in null versus heterozygous EBs (Figure S5I). Furthermore, HES5 by immunofluorescence was broadly expressed at similar levels in both null and heterozygous cells (Figures 5J and 5J0 ; Figures S5H and S5H0 ) but more strongly expressed in null OCT4+ cells (Figures 5J and 5J0 ). Thus, loss of Prkci is associated with NOTCH1 activation, aNOTCH1 symmetric localization, and the upregulation of Hes/Hey downstream genes in several assays.

To determine whether Notch pathway activation is required in the absence of Prkci, we examined AP activity and OCT4 expression while blocking the Notch pathway using DAPT to inhibit g-secretase (Sastre et al., 2001). DMSO-treated null ES cells stayed undifferentiated (sharp-edged colonies, strong AP staining); however, treatment of null ES cells with 3 mM DAPT led to more differentiation (AP-negative cells with cellular extensions) (Figures 5N, 5O, and S5J). In addition, OCT4 is strongly expressed in day-4 control ES cell cultures; however, in the presence of DAPT, OCT4 expression is much decreased both in monolayer culture (Figures 5P–5R) and in null EBs (48% lower OCT4+ signal versus DMSO controls, pixel counting on EB sections; data not shown). These results support the idea that activated Notch signaling is required in the absence of Prkci to see enhanced pluripotency.

Taken together, the combined effects of decreased NUMB activation, favored symmetric distribution of NUMB and aNOTCH1 and increased NOTCH1 activity support a model whereby loss of Prkci leads to sustained generation of pluripotent and some tissue stem cell populations (Figure 5S; and see Discussion).

Additional Loss of PRKCz Activity Boosts the Number of OCT4-, SSEA1-, and STELLA-Positive Cells The generation and maintenance of pluripotent stem cells from new sources or tissue stem cells for basic or translational research can be challenging, and there is need for new in vitro strategies. A PKC inhibitor (Go¨6983) that inhibits PKCa, -b, -g, -d, and -z has been used to help maintain mouse and rat ES cells in the absence of LIF (Dutta et al., 2011; Rajendran et al., 2013). Thus, we hypothesized that treating null cells with Go¨6983 might lead to better stem cell expansion compared to loss of just Prkci. In our hands, we found that, under differentiation conditions (no LIF), heterozygous ES cells treated with the inhibitor for 4 days still underwent differentiation (Figure 6A), while treated null ES cells largely stayed undifferentiated (Figure 6A0 ; Figure S6A). Drug treatment of heterozygous EBs boosted the generation of OCT4-expressing cells (Figure 6B), while treatment of null EBs resulted in an even larger OCT4+ population (Figure 6B0 ). NUMB localization was also moderately affected (Figure S6B). By cell sorting, we found that drug treatment significantly increased the percentage of OCT4+ cells in both Prkci+/ and Prkci/ EBs (Figures 6C and 6C0 ; Figures S6C and S6C0 ). Interestingly, Go¨6983 treatment also boosted the generation of SSEA1+ cells in both null and heterozygous EBs (Figures 6D and 6D0 ; Figures S6D and S6D0 ).

SSEA1 is expressed in BLIMP1-positive PGCs derived from mouse epiblast stem cells (Hayashi and Surani, 2009). Also, PGC-like cells can be derived from isolated SSEA1+/OCT4+ EB cells (Geijsen et al., 2004). Therefore, we speculated that the increase in SSEA1 and OCT4 due to Go¨6983 treatment could represent an increase in the generation of PGC-like cells instead of undifferentiated ES cells. Therefore, we examined the expression of STELLA (a PGC marker). As expected, heterozygous EBs contain small clusters of STELLA+ cells similar to EBs made of wild-type cells (Figure 6E) (Payer et al., 2006). The addition of Go¨6983 to Prkci+/ EBs induced a modest increase in the number of STELLA+ cells present in the clusters (Figure 6F). Without drug treatment, null EBs contained more clusters, and the clusters contained more STELLA+ cells when compared to heterozygous EBs (Figures 6E and 6G). Interestingly, when Prkci/ EBs were treated with Go¨6983, the generation of STELLA+ cells was strongly enhanced (Figure 6G versus Figure 6H). Because undifferentiated ES cells can still express STELLA (Payer et al., 2006), we co-stained Prkc EBs for VASA (a more differentiated PGC marker). We found many cells that were double positive (a little less than half) (Figure 6K) but also cells that expressed VASA only and STELLA only (23 more than VASA only) (Figures 6I–6K, red/green arrows). Therefore, the combined effect of loss of Prkci and PKC inhibition via Go¨6983 treatment leads to the production of STELLA and VASA+ PGC-like cells.

Figure 6. Additional Inhibition of PRKCz Results in an Even Higher Percentage of OCT4-, SSEA1-, and STELLA-Positive Cells (A and A0 ) After day 4 without LIF, heterozygous ES cells undergo differentiation in the presence of Go¨6983, while null ES cells stay as distinct colonies in (A0 ). (B and B0 ) Go¨6983 stimulates an increase in OCT4+ populations in heterozygous EBs and an even larger OCT4+ population in null EBs in (B0 , insets: green and red channels separately). (C–D0 ) An even higher percentage of cells are OCT4+ (C and C0 ) and SSEA1+ (D and D0 ) with Go¨6983 treatment (day 12, three independent experiments). (E and F) More STELLA+ clusters containing a larger number of cells are present in drugtreated heterozygous EBs. (G and H) Null EBs also have more STELLA+ clusters and cells. Drug-treated null EBs exhibit a dramatic increase in the number of STELLA+ cells. (I–K) Some cells are double positive for STELLA and VASA in drug-treated null EBs (yellow arrows). There are also VASAonly (green arrows) and STELLA-only cells (red arrows) (three independent experiments). (L–P) Treatment with ZIP results in an increase in OCT4+ and STELLA+ cells. ZIP treatment also results in more cells that are VASA+ (three independent experiments); n = 11 for Prkci+/, and n = 13 for Prkci+/ + ZIP; n = 14 for Prkci/, and n = 20 for Prkci/ + ZIP; eight EBs assayed for both STELLA and VASA expression). Scale bars, 100 mm in (A and A0 ); 50 mm in (B and B0 ); and 25 mm in (E, I, and L). See also Figure S6. 10 S.

Next, we examined whether the more specific aPKC inhibitor, ZIP, a myristolated aPKC pseudosubstrate with competitive binding to p62, had similar effects (Price and Ghosh, 2013; Tsai et al., 2015; Yao et al., 2013). We found that both heterozygous and null EBs treated with ZIP contained more OCT4+ cells compared to un-treated EBs (Figures 6L–6O). In addition, like Go¨6983, ZIP treatment resulted in a modest increase in the percentage of SSEA1+ cells found in heterozygous EBs and a strong increase in the percentage of SSEA1+ cells in null EBs (Figures S6E– S6F0 ). Furthermore, like Go¨6983, both STELLA+ and VASA+ populations were increased with ZIP treatment (Figure 6P). Thus, both pluripotent and PGC-like cells can be abundantly generated with Go¨6983 or ZIP treatment, suggesting that strategies that inhibit both PRKCi and/or PRKCz may be useful to maintain stem cell self-renewal and/or generate abundant PGC-like cells.

DISCUSSION In this report, we suggest that Prkci controls the balance between stem cell expansion and differentiation/maintenance by regulating the activation of NUMB, NOTCH1, and Hes /Hey downstream effector genes. In the absence of Prkci, the pluripotent cell fate is favored, even without LIF, yet cells still retain a broad capacity to differentiate. In addition, loss of Prkci results in enhanced generation of tissue progenitors such as neural stem cells and cardiomyocyte and erythrocyte progenitors. In contrast to recent findings on Prkcz (Dutta et al., 2011), loss of Prkci does not appear to influence STAT3, AKT, or GSK3 signaling but results in decreased ERK1/2 activation. We hypothesize that, in the absence of Prkci, although ERK1/2 inhibition may be involved, it is the decreased NUMB phosphorylation and increased NOTCH1 activation that promotes stem and progenitor cell fate. Thus, we conclude that PRKCi, a protein known to be required for cell polarity, also plays an essential role in controlling stem cell fate and generation via regulating NOTCH1 activation.

Notch Activation Drives the Decision to Self-Renew versus Differentiate Notch plays an important role in balancing stem cell selfrenewal and differentiation in a variety of stem cell types and may be one of the key downstream effectors of Prkci signaling. Sustained Notch1 activity in embryonic neural progenitors has been shown to maintain their undifferentiated state (Jadhav et al., 2006). Similarly, sustained constitutive activation of NOTCH1 stimulates the proliferation of immature cardiomyocytes in the rat myocardium (Collesi et al., 2008). In HSCs, overexpression of constitutively active NOTCH1 in hematopoietic progenitors and stem cells supports both primitive and definitive HSC selfrenewal (Stier et al., 2002). Together, these studies suggest that activation and/or sustained Notch signaling can lead to an increase in certain tissue stem cell populations. Thus, a working model for how tissue stem cell populations are favored in the absence of Prkci involves a sequence of events that ultimately leads to Notch activation. Recent studies have shown that aPKCs can be found in a complex with NUMB in both Drosophila and mammalian cells (Smith et al., 2007; Zhou et al., 2011); hence, in our working model (Figure 5S), we propose that the localization and phosphorylation of NUMB is highly dependent on the activity of PRKCi. When Prkci is downregulated or absent (as shown here), cell polarity is not promoted, leading to diffuse distribution and decreased phosphorylation of NUMB. Without active NUMB, NOTCH1 activation is enhanced, Hes/Hey genes are upregulated, and stem/progenitor fate generation is favored. To initiate differentiation, polarization could be stochastically determined but could also be dependent on external cues such as the presentation of certain ligands or extracellular matrix (ECM) proteins (Habib et al., 2013). When PRKCi is active and the cell becomes polarized, a trimeric complex is formed with PRKCi, PAR3, and PAR6. Numb is then recruited and phosphorylated, leading to Notch inactivation, the repression of downstream Hes/Hey genes, and differentiation is favored (see Figure 5S). Support for this working model comes from studies in Drosophila showing that the aPKC complex is essential for Numb activation and asymmetric localization (Knoblich, 2008; Smith et al., 2007; Wang et al., 2006). Additional studies on mouse neural progenitors show that regulating Numb localization and Notch activation is critical for maintaining the proper number of stem/progenitor cells in balance with differentiation (Bultje et al., 2009). Thus, an important function for PRKCi may be to regulate the switch between symmetric expansion of stem/progenitor cells to an asymmetric differentiation/maintenance phase. In situations of low or absent PRKCi, we propose that the expansion phase is favored. Thus, temporarily blocking either, or both, of the aPKC isozymes may be a powerful approach for expanding specific stem/progenitor populations for use in basic research or for therapeutic applications.

These studies, together with data presented here, provide genetic evidence that evolutionarily conserved polarity pathways may play a central role in NOTCH1 activation. and stem cell self-renewal in mammals. Further genetic studies using Cre transgenes that are specific for progenitors in the neural plate, primitive erythrocytes, cardiomyocytes, and other progenitors to ablate aPKC function will be needed to determine how generally this mechanism is used in diverse tissues.

Although we do not see changes in the activation status of the STAT3, AKT, or GSK3 pathway, loss of Prkci results in an inhibition of ERK1/2 (Figures 2A and 2B). This result is consistent with the findings that ERK1/2 inhibition is both correlated with and directly increases ES cell selfrenewal (Burdon et al., 1999). Modulation of ERK1/2 activity by Prkci has been observed in cancer cells and chondrocytes (Litherland et al., 2010; Murray et al., 2011). Although it is not clear whether a direct interaction exists between Prkci and ERK1/2, Prkcz directly interacts with ERK1/2 in the mouse liver and in hypoxia-exposed cells (Das et al., 2008; Peng et al., 2008). The Prkcz isozyme is still expressed in Prkci null cells but evidently cannot suf- ficiently compensate and activate the pathway normally. Furthermore, knocking down Prkcz function in ES cells does not result in ERK1/2 inhibition, suggesting that this isozyme does not impact ERK1/2 signaling in ES cells (Dutta et al., 2011). Therefore, although PRKCi may interact with ERK1/2 and be directly required for its activation, ERK1/2 inhibition could also be a readout for cells that are more stem-like. Further studies will be needed to address this question.

Utility of Inhibiting aPKC Function Loss of Prkci resulted in EBs that contained slightly more STELLA+ cells than EBs made from +/ cells. Furthermore, inhibition of both aPKC isozymes by treating Prkci null cells with the PKC inhibitor Go¨6983 or the more specific inhibitor, ZIP, strongly promoted the generation of large clusters of STELLA+ and VASA+ cells, suggesting that inhibition of both isozymes is important for PGC progenitor expansion (Figure 6). It is unclear what the mechanism for this might be; however, one possibility is that blocking both aPKCs is necessary to promote NOTCH1 activation in PGCs or in PGC progenitor cells that may ordinarily have strong inhibitions to expansion (Feng et al., 2014). Regardless of mechanism, the ability to generate PGC-like cells in culture is notoriously challenging, and our results provide a method for future studies on PGC specification and differentiation.

Expansion of stem/progenitor pools may not be desirable in the context of cancer. Prkci has been characterized as a human oncogene, a useful prognostic cancer marker, and a therapeutic target for cancer treatment. Overexpression of Prkci is found in epithelial cancers (Fields and Regala, 2007), and Prkci inhibitors are being evaluated as candidate cancer therapies (Atwood et al., 2013; Mansfield et al., 2013). However, because our results show that Prkci inhibition leads to enhanced stem cell production in vitro, Prkci inhibitor treatment as a cancer therapy might lead to unintended consequences (tumor overgrowth), depending on the context and treatment regimen. Thus, extending our findings to human stem and cancer stem cells is needed. In summary, here, we demonstrate that loss of Prkci leads to the generation of abundant pluripotent cells, even under differentiation conditions. In addition, we show that tissue stem cells such as neural stem cells, primitive erythrocytes, and cardiomyocyte progenitors can also be abundantly produced in the absence of Prkci. These increases in stem cell production correlate with decreased NUMB activation and symmetric NUMB localization and require Notch signaling. Further inhibition of Prkcz may have an additive effect and can enhance the production of PGC-like cells. Thus, Prkci (along with Prkcz) may play key roles in stem cell self-renewal and differentiation by regulating the Notch pathway. Furthermore, inhibition of Prkci and or Prkcz activity with specific small-molecule inhibitors might be a powerful method to boost stem cell production in the context of injury or disease.

SUPPLEMENTAL INFORMATION

Supplemental Information includes Supplemental Experimental Procedures, six figures, and two tables and can be found with this article online at http://dx.doi.org/10.1016/j.stemcr. 2015.09.021.

REFERENCES

Atwood, S.X., Li, M., Lee, A., Tang, J.Y., and Oro, A.E. (2013). GLI activation by atypical protein kinase C i/l regulates the growth of basal cell carcinomas. Nature 494, 484–488.

Baum, C.M., Weissman, I.L., Tsukamoto, A.S., Buckle, A.M., and Peault, B. (1992). Isolation of a candidate human hematopoietic stem-cell population. Proc. Natl. Acad. Sci. USA 89, 2804–2808.

Berdnik, D., To¨ro¨k, T., Gonza´lez-Gaita´n, M., and Knoblich, J.A. (2002). The endocytic protein alpha-Adaptin is required for numb-mediated asymmetric cell division in Drosophila.

Dev. Cell 3, 221–231. Boeckeler, K., Rosse, C., Howell, M., and Parker, P.J. (2010). Manipulating signal delivery – plasma-membrane ERK activation in aPKC-dependent migration. J. Cell Sci. 123, 2725–2732.

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USC offers a summer of stem cells for local high school students

The teens boost their scientific IQ by conducting research in USC labs

The goal of these unique programs is to educate bright young minds at the stage where they’re still formulating ideas and still open and receptive to new discoveries.

Andrew McMahon

Twenty-three local high school students spent their summer vacations in a very unusual place: the Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research at USC.

The students celebrated their graduations this month from the USC Early Investigator High School (EiHS) and the USC CIRM Science, Technology and Research (STAR) programs. These are the only programs that offer comprehensive training in stem cell research to high school students.

“The goal of these unique programs is to educate bright young minds at the stage where they’re still formulating ideas and still open and receptive to new discoveries, and introduce them to the wonder and inspirational power of stem cell biology,” said Andrew McMahon, director of USC’s stem cell research center and the Department of Stem Cell Biology and Regenerative Medicine, and head of the university-wide USC Stem Cell initiative uniting more than 100 researchers from all disciplines.

Stem cells, ethics and public policy

Over the course of the summer, the high school students participated in either a 10-day training course or eight-week research internship, working with human stem cells in USC’s world-class laboratories. 

Under the mentorship of USC faculty and graduate students, the students learned about the latest advances in regenerative medicine and explored stem cells, ethics and public policy.

Roberta Diaz Brinton, director of the CIRM STAR program, paid tribute to the accomplishments of the students.

“We’re very impressed by the caliber of science and more impressed by the caliber of young minds. These young scientists are generating the new knowledge from which stem cell biology and stem cell therapies will progress in the future,” said Brinton, professor at the USC School of Pharmacy, the USC Viterbi School of Engineering and the Keck School of Medicine of USC, and an executive committee member of USC Stem Cell.

True teamwork

Victoria Fox, director of the EiHS program, extended her thanks to everyone who contributed to the experience.

“The EiHS program was made possible by a team of very incredible people that starts with my laboratory staff and includes donors, the students, the administrators of the stem cell research center and the mentors who take the students in their laboratories,” she said. “I’m very grateful to all of these people.”

This year’s participants were selected from Harvard-Westlake School, Lifeline Education Charter School, Chadwick School and Bravo Medical Magnet High School, and many received scholarships.

“The program has motivated our students to be college-ready by giving them the opportunity to work in a university setting,” said Obed Nartey, principal of Lifeline Education Charter School. “Many of these students are the first generation to graduate from high school. For these students, college was seen as being out of reach until they met and worked with Dr. Fox and her team.”

On graduation day, the students shared their transformative summer experiences with their mentors, friends, parents and teachers by presenting scientific posters and by contributing articles to the program’s new EiHS Journal, which will publish its first issue in October.

“Being able to contribute to a scientific project that can play an important role in someone’s life is an amazing opportunity, and I would not trade it for the world,” said Marialuisa Flores, a student from Lifeline Education Charter School. “It was a very enjoyable learning experience, which has made a great impact on my life and future career.”

“Being able to contribute to a scientific project that can play an important role in someone’s life is an amazing opportunity, and I would not trade it for the world,” said Marialuisa Flores, a student from Lifeline Education Charter School. “It was a very enjoyable learning experience, which has made a great impact on my life and future career.”

A retreat from everything but stem cells

BY Cristy Lytal

It wasn’t the pristine 27-hole course that drew more than 120 stem cell researchers from USC and beyond to the Desert Princess Golf Resort near Palm Springs, Calif. It was the sixth annual retreat for the Eli and Edy the Broad Center for Regenerative Medicine and Stem Cell Research at USC, which took place on Oct. 20-­21.

The two-day, overnight retreat featured a plenary lecture by Clive Svendsen, director of the Regenerative Medicine Institute at Cedars-Sinai Medical Center, about the contribution of induced pluripotent stem (iPS) cells to regenerative medicine, particularly to studying and developing treatments for neurological disorders.

The retreat also included presentations by winners of the first Regenerative Medicine Initiative (RMI) Awards, which provide up to two years of seed funding for multi-investigator research collaborations that harness the full potential of USC-affiliated faculty members. The three winning teams are using various stem/progenitor cells that might lead to future therapies for certain forms of deafness, bone defects and pediatric leukemia.

Many other principal investigators, postdoctoral and graduate students shared innovative research advancing several key areas of regenerative medicine.

Rong Lu, who will leave Stanford University to join USC’s stem cell research center as a principal investigator in January, talked about her new cellular “tracking system” for hematopoietic, or blood-forming stem cells. The system allows for the more effective study of blood and other types of cancers.

Min Yu, who will leave Massachusetts General Hospital at Harvard Medical School to accept a joint appointment as a principal investigator at USC’s stem cell research center and the USC Norris Comprehensive Cancer Center in January, discussed how to filter out circulating cancer stem cells from billions of other blood cells to understand and stop cancer’s spread.

USC research associate Hu Zhao and research assistants Yichen Li and Yingxiao Shi gave presentations.

Postdoctoral students who presented research included Mohamed Hammad, Lori O’Brien, Sandeep Paul and Saaket Varma.

PhD student presenters included Wen-Hsuan Chang, Guanyi Huang, Sapna Jain, Erin Moran, Marie Rippen and Yuki Yamaguchi.

The retreat also showcased the USC stem cell research center’s core facilities for stem cell sorting, derivation, culture, iPS programming, imaging and therapeutic screening.

During the cocktail hour, guests exchanged new ideas while voting on their favorite posters, which introduced research opportunities related to the Development, Stem Cells, and Regenerative Medicine PhD program.

Retreat sponsors included the California Institute for Regenerative Medicine Amgen, Sanofi, Zeiss, Leica Microsystems, Fluidigm, Lonza and Novogenix Laboratories LLC.

“This year’s retreat was a great success,” said Andrew McMahon, who spearheads the USC Stem Cell initiative and directs the Broad Center. “It helped solidify USC Stem Cell as an interactive scientific community and build relationships with our colleagues at the university and beyond.”

$1.5M Goes to Stem Cell Research

$6.4M for Stem Cell Labs to USC, CHLA

$25 million Broad Foundation gift creates stem cell institute at USC

McMahon discusses central role of stem cell biology in medicine of the future

Andrew McMahon is a Provost Professor and inaugural holder of the W.M. Keck Professorship of Stem Cell Biology and Regenerative Medicine at USC. (Photo/Philip Channing)

McMahon installed as chair of stem cell biology

Army Research Laboratory selects USC institute as base for breakthroughs in science and technology

Brainpower applied to understanding of neural stem cells

Cristy Lytal
BY Cristy Lytal   OCTOBER 24, 2013

How do humans and other mammals get so brainy? USC researcher Wange Lu and his colleagues shed new light on this question in a paper published in the journal Cell Reports on Oct. 24.

The researchers donned their thinking caps to explain how neural stem and progenitor cells differentiate into neurons and related cells called glia. Neurons transmit information through electrical and chemical signals; glia surround, support and protect neurons in the brain and throughout the nervous system. Glia do everything from holding neurons in place to supplying them with nutrients and oxygen to protect them from pathogens.

By studying the embryo neural stem cells of mice in a petri dish, Lu and his colleagues discovered that a protein called SMEK1 promotes the differentiation of neural stem and progenitor cells. At the same time, SMEK1 keeps these cells in check by suppressing their uncontrolled proliferation.

The researchers also determined that SMEK1 doesn’t act alone: It works in concert with Protein Phosphatase 4 to suppress the activity of PAR3, a third protein that discourages neurogenesis — the birth of new neurons. With PAR3 out of the picture, neural stem cells and progenitors are free to differentiate into new neurons and glia.

“These studies reveal the mechanisms of how the brain keeps the balance of stem cells and neurons when the brain is formed,” said Wange Lu, associate professor of biochemistry and molecular biology at the Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC. “If this process goes wrong, it leads to cancer or mental retardation or other neurological diseases.”

neural stem cells

Neural stem and progenitor cells offer tremendous promise as a future treatment for neurodegenerative disorders, and understanding their differentiation is the first step toward harnessing the cells’ therapeutic potential. This could offer new hope for patients with Alzheimer’s, Parkinson’s and many other currently incurable diseases.

Co-authors from the Broad Center included Vicky Yamamoto, Si Ho Choi and Zhong Wei. Co-authors Hee-Ryang Kim and Choun-Ki Joo work at the Catholic University of Korea in Seoul, and first author Jungmook Lyu is affiliated with both institutions.

Funding for the study came from the National Institutes of Health (grant number 5R01NS067213).

Protein phosphatase 4 and Smek complex negatively regulate Par3 and promote neuronal differentiation of neural stem/progenitor cells.
Cell Rep. 2013 Nov 14;5(3):593-600. http://d.doi.org:/10.1016/j.celrep.2013.09.034. Epub 2013 Oct 24.
Neural progenitor cells (NPCs) are multipotent cells that can self-renew and differentiate into neurons and glial cells. However, mechanisms that control their fate decisions are poorly understood. Here, we show that Smek1, a regulatory subunit of the serine/threonine protein phosphatase PP4, promotes neuronal differentiation and suppresses the proliferative capacity of NPCs. We identify the cell polarity protein Par3, a negative regulator of neuronal differentiation, as a Smek1 substrate and demonstrate that Smek1 suppresses its activity. We also show that Smek1, which is predominantly nuclear in NPCs, is excluded from the nucleus during mitosis, allowing it to interact with cortical/cytoplasmic Par3 and mediate its dephosphorylation by the catalytic subunit PP4c. These results identify the PP4/Smek1 complex as a key regulator of neurogenesis.

Neural stem and progenitor cells located in the ventricular zone (VZ) of the embryonic neocortex are mitotically active, self-renewing cells with the potential to produce differentiated cell types (Temple, 2001). During cortical development, postmitotic neurons generated from NPCs migrate radially out of the VZ and form the cortical plate (CP) in an “inside-out pattern,” eventually establishing a six-layered cortex (Kriegstein et al., 2006). The timing of neuronal differentiation determines the size of the progenitor pool, the final number of neurons, and cortical thickness. However, the molecular mechanisms that control the switch from proliferation to neuronal differentiation of NPCs remain incompletely understood.

Studies of Drosophila neuroblasts show that the serine/threonine protein phosphatase 2A (PP2A) inhibits self-renewal and promotes neuronal differentiation by regulating the phosphorylation status of cell fate determinants, including Numb (Wang et al., 2009). Bazooka, a key component of the Par protein complex, is a well-characterized PP2A substrate in Drosophila neuroblasts (Krahn et al., 2009; Ogawa et al., 2009). PP2A antagonizes phosphorylation of Bazooka by Par1 kinase to control its subcellular localization. In mammals, a protein called Partitioning-defective 3 (Par3), the ortholog of Bazooka, accumulates at the tip of a growing axon in neurons and controls axon specification (Shi et al., 2003). Recently, it has been shown that Par3, which is enriched in the apical domain of NPCs of the VZ (Imai et al., 2006), critically regulates proliferation versus differentiation during cortical development (Bultje et al., 2009; Costa et al., 2008).

PP4, which belongs to the PP2A family, is a protein complex comprised of a catalytic subunit PP4c plus regulatory subunits (Gingras et al., 2005). Smek (also termed PP4R3) has been identified as a PP4 regulatory subunit and implicated in activities as diverse as regulation of MEK (Mendoza et al., 2005), insulin/IGF-1 signaling (Wolff et al., 2006), H2AX phosphorylation (Chowdhury et al., 2008), and histone H3 and H4 acetylation (Lyu et al., 2011). A recent study reported that Falafel (Flfl), the Drosophila homolog of Smek, mediates localization of the adaptor protein Miranda and the cell fate determinant Prospero in neuroblasts (Sousa-Nunes et al., 2009). However, the direct substrate of Smek remains unclear. Here we identify Par3 as a direct substrate of the PP4/Smek1 complex in NPCs and report a novel role for Smek1 in regulating neuronal differentiation.

Smek1 is required for neuronal differentiation of NPCs

During mouse cortical development, Smek1 is expressed in a distinct temporal and spatial pattern. At E11.5, we observed that Smek1 protein is expressed in most NPCs at the apical side of the forebrain VZ (Figure 1Aand S1A). At E14.5, Smek1 protein was detectable primarily in CP neurons (Figure 1B and S1B), while weak Smek1 expression was seen in some NPCs undergoing mitosis at the ventricle surface (Figure 1B, boxes). Interestingly, VZ neurons that migrate to the CP also expressed Smek1 protein (Figure 1B, arrows). In postnatal forebrain, Smek1 protein expression remained detectable in cortical layers I-IV (Figure S1C). Moreover, E14 cortices of Smek1-depleted mice (Smek1gt/gt) exhibited an increase in the number of Pax6-positive cells (an NPC marker) and a decrease in the number of Tbr1-positive cells (a marker of cortical neurons) as compared to E14 cortices of wild-type (Smek1+/+) mice (Figure 1C and S1D).

Figure 1

Smek1 regulates neuronal differentiation in the early phase of NPC differentiation

To assess Smek1’ function in neurogenesis, we employed an in vitro culture system using NPCs isolated from the E11.5 mouse forebrain neocortex. NPCs transduced with lentivirus expressing shRNA againstSmek1 or control shRNA under control of a doxycycline-inducible promoter (Figure S1E) were cultured in medium containing doxycycline for 6 days under differentiating conditions and then assessed for neurogenesis using TUJ1 (a marker of immature neurons) or MAP2 (a marker of mature neurons). The number of TUJ1- or MAP2-positive cells significantly decreased in Smek1 knockdown cultures compared to cultures expressing control shRNA (Figure 1D), indicating a neuronal differentiation defect. A decrease in number of neurons can be caused by a defect in NPC proliferation or neuronal apoptotic cell death. While no significant difference in the number of apoptotic cell death (as determined by TUNEL staining) was observed between control and Smek1 knockdown cells cultured under differentiation condition (data not shown),Smek1 knockdown NPCs grown under proliferation conditions underwent hyperproliferation (Figure S1F and G). We then asked whether Smek1 regulated the transition of NPCs from proliferative to differentiation states by knocking down Smek1 in NPCs prior to placing them in differentiating culture conditions. Western blotting of cells expressing Smek1 shRNA showed decreased levels of TUJ1 protein relative to controls by day 1 of culture (Figure S1H). At this time point, we found that the percentage of undifferentiated NPCs expressing both Nestin (an NPC marker) and Ki67 (a marker of proliferation) or Pax6 increased in cultures expressing Smek1 shRNA compared to control cultures, while the percentage of TUJ1-positive cells significantly decreased (Figure 1E and F). These findings suggest that Smek1 is required for neuronal differentiation and suppression of NPC proliferative capacity at an early phase of differentiation.

Smek1 recruits PP4c to promote neuronal differentiation

To determine Smek1 as a regulatory subunit of PP4 in neurogenesis, we asked whether Smek1 binds to the catalytic subunit PP4c in NPCs using co-immunoprecipitation. Western blot analysis revealed PP4c in Smek1 but not control immunoprecipitates, indicating that Smek1 physically interacts with PP4c. Such interactions did not change during differentiation (Figure 2A). To examine whether PP4c functions in neurogenesis, NPCs were exposed to lentivirus expressing PP4c or control shRNA and cultured as described in Figure 1D. PP4c knockdown led to changes similar to those accompanying Smek1 knockdown: relative to control cultures TUJ1 expression and the number of TUJ1-positive neurons decreased while Pax6-positive NPCs increased (Figure 2B and S2A and B). We next mapped Smek1 domains required for PP4c interaction. Smek contains four conserved domains: an N-terminal Ran-binding domain (RanBD), a domain of unknown function 625 (DUF625), an armadillo (Arm) repeat region, and a C-terminal nuclear localization sequence (NLS). We constructed a series of Flag-tagged deletion mutants, including Smek1ΔRanBD (lacking amino acid (aa) 2–100), ΔDUF625 (lacking aa 162-355), ΔArm (lacking 350-653), and ΔNLS (lacking aa 809-820) (Figure 2C, top) and introduced them or a wild-type construct into NPCs. PP4c was not be detected in anti-Flag immunoprecipitates from NPCs expressing Flag-Smek1ΔArm (Figure 2C, bottom) but was detected in cells expressing wild-type or other deletion mutants, suggesting that PP4c/Smek1 complex formation requires the Arm repeats. We also found that, while expression of wild-type Smek1 or corresponding ΔNLS mutant in cultures lacking endogenous Smek1 rescued the neuronal differentiation defect, the other mutants did not (Figure 2D and S2C and D). These results indicate that Smek1 regulates neuronal differentiation via its Arm repeats region through PP4c and suggest that both RanBD and DUF625 domains also participate in neurogenesis.

Figure 2

PP4c is required for neuronal differentiation   
Smek1 binds to and mediates Par3 dephosphorylation

To identify PP4 substrates regulated by Smek1 in NPCs, we employed affinity purification to purify proteins interacting with Smek1. Mass spectrometry analysis identified potential Smek1-binding proteins, including Par3, Kinesin-like protein, coiled-coil domain-containing protein 30 (CCDC 30), heat shock protein 90 (HSP90), PKC lambda, and HDAC1 Figure S3A. Among these, Par3, an intrinsic regulator of neurogenesis, is a particularly attractive candidate (Bultje et al., 2009; Costa et al., 2008). Using an antibody that detects the major isoforms (180, 150, and 100 kDa) of Par3, Western blot analysis revealed the predominant expression of two isoforms, 180 and 100 kDa forms, in NPCs, and that only the 180 kDa Par3 was detectable in Smek1 immunoprecipitates (Figure 3A). To determine whether Smek1/Par3 binding was direct, we performed an in vitro pull-down assay using purified Flag-Smek1 and His-fused Par3 fragments, the latter containing the CR1 domain (aa 1-338), the PDZ domain (aa 343-733), the aPKC-BR domain (aa 711-1054), or the C-terminal coiled-coil region (aa 1055-1334) (Figure S3B). Western blot analysis revealed that Flag-Smek1 pulled down only the Par3 coiled-coil region (Figure 3B), indicating direct binding through that region. Moreover, Par3 was detected in Flag immunoprecipitates derived from NPCs transduced with lentivirus expressing Myc-Par3 plus lentivirus expressing Flag-Smek1 wild-type or Smek1ΔRanBD, Smek1ΔArm, or Smek1ΔNLS constructs but not from NPCs expressing Smek1ΔDUF625 (Figure 3C). This result indicates that Smek1 DUF625 domain is required for Smek1/Par3 interaction.

Figure 3

Smek1 interacts with Par3 and inhibits its function in neuronal differentiation

To assess potential dephosphorylation of Par3 by Smek1, we phosphorylayed Myc-Par3 protein in vitro by incubating it with an NPC lysate and 32P-ATP and then treated it with a complex containing Flag-Smek1 proteins (Figure 3D). 32P-labeling of Par3 was significantly decreased when Par3 protein was incubated with a complex containing wild-type Flag-Smek1 protein and PP4c (Figure 3D). By contrast, treatment with a Flag-Smek1ΔArm protein complex lacking PP4c binding significantly reduced Par3 dephosphorylation. Moreover, Western blot analysis of Par3 immunoprecipitates with an anti-phospho-serine/threonine antibody confirmed that Smek1 and PP4c regulate Par3 phosphorylation through serine/threonine residues (Figure S3C). Since the DUF625 and Arm repeats regions of Smek1 are required for binding to Par3 and PP4c respectively, we examined the Par3 phosphorylation state in NPCs expressing Flag-tagged wild-type or mutant Smek1 together with Myc-tagged Par3. Western blot analysis of Myc-Par3 immunoprecipitates using anti-phospho-serine/threonine antibody showed that overexpression of wild-type Smek1 or Smek1ΔNLS significantly decreased Par3 phosphorylation levels compared to controls, whereas overexpression of Smek1ΔRanBD, ΔDUF625, or ΔArm did not (Figure 3E). These results suggest that, in addition to the DUF625 and Arm, the RanBD domain of Smek1 participates in regulation of Par3 phosphorylation at serine/threonine residues.

Smek1 negatively regulates Par3 in neurogenesis

Next we asked whether Par3 is required for Smek1-mediated neurogenesis. To this end, we assessed the effect of Smek1 loss-or gain-of function on neuronal differentiation in the presence or absence of Par3. NPCs expressing either Smek1 shRNA or wild-type Smek1 were transduced with lentivirus expressing Par3 or control shRNA (Figure S3D). At day 1 after differentiation, in the presence of Par3, knockdown of Smek1 led to a decrease in the number of TUJ1-positive neurons and an increase in the number of Nestin/Ki67 double-positive NPCs, while overexpression of Smek1 had the opposite effect (Figure 3F and S3E). In the absence of Par3 by using shRNA, the number of TUJ1-positve cell was increased and the number of Nestin/Ki67 double positive NPCs was decreased. However, in these cultures knockdown or overexpression of Smek1 did not significantly alter the number of neurons or undifferentiated NPCs. In addition, we also observed increased expression of mRNAs encoding the Notch targets Hes1 and Hes5 in cells expressing Smek1 shRNA compared to control cells (Figure S3F). Moreover, analysis of Notch reporter gene activity revealed that wild-type Smek1 inhibited Notch signaling activity induced by Par3 overexpression, while Smek1ΔDUF625 did not (Figure S3G). Given that Par3 activates Notch signaling (Bultje et al., 2009), these results suggest that Smek1 acts upstream of Par3 to negatively regulate its activity in neurogenesis.

Par3 loss of function promotes neuronal differentiation (Costa et al., 2008), consistent with the effect seen following Smek1 overexpression (Figure 3F). To confirm that Smek1 promotes neurogenesis by suppressing Par3 function, we transduced NPCs with lentiviruses expressing Par3 alone or Par3 together with wild-type Smek1 or Smek1ΔDUF625, cultured them under differentiation conditions, and then neuronal differentiation was quantified by determining the percentage of TUJ1-positive and Nestin/Ki67 double-positive cells one day later. Par3 overexpression decreased the number of TUJ1-positive neurons and increased the number of Nestin/Ki67-positive undifferentiated NPCs compared with control cells (Figure 3G and S3H). As expected, wild-type Smek1 negated the effect of Par3 overexpression, as determined by comparing the percentage of TUJ1-positive and Nestin/Ki67 double-positive cells in cultures expressing both Smek1 and Par3 to cultures expressing Par3 alone. In comparison with wild-type Smek1, no significant change was seen in cultures transduced with Smek1ΔDUF625, which cannot bind Par3. These experiments further confirm that Smek1 negatively regulates Par3 in NPC differentiation.

Dynamic changes in Smek1 subcellular localization facilitate targeting of PP4 to Par3

Par3 localizes to the apical cortex of NPCs (Bultje et al., 2009), while Smek1 is predominantly nuclear (Figure 1A and C). To determine if changes in Smek1 subcellular localization occur in NPCs during neurogenesis, coronal sections from E11.5 forebrain were immunostained with anti-Smek1 and -α-tubulin (a cytoplasmic marker) antibodies. Smek1 co-localized with α-tubulin in cells on the ventricular surface (Figure 4A, arrows), indicating a cytoplasmic/cortical localization in mitotic NPCs. In mitotic cells, Par3 showed a similar localization (Figure S4A and B). Moreover, immunostaining of NPC cultures with anti-Smek1 and -α-tubulin antibodies showed that Smek1 undergoes dynamic changes in subcellular localization during mitosis. While Smek1 was nuclear in interphase and prophase cells, it showed a cytoplasmic/cortical localization from prometaphase to anaphase (Figure 4B and S4C). Metaphase and anaphase cells also showed Smek1 enrichment at spindle microtubules.

Figure 4

Smek1 regulates subcellular localization of PP4c but not Par3

The RanBD motif of the Dictyostelium discoideum Smek homolog is reportedly critical for its cytoplasmic/cortical localization (Mendoza et al., 2005). To test whether this was the case for mammalian Smek1, Smek1-depleted NPCs were transduced with constructs encoding Flag-tagged wild-type Smek1 or its deletion mutants and immunostained with anti-Flag and anti-phospho-histone H3 (a marker of mitosis and chromatin condensation). Consistent with results reported in Dictyostelium discoideum, the Smek1ΔRanBD mutant failed to localize to the cytoplasm/spindle during mitosis but rather localized in the nucleus and remained there in interphase (Figure 4C). The subcellular localization of other mutants tested resembled that of wild-type Smek1, with the exception of Smek1ΔNLS, which was expressed in both the nucleus and cytoplasm of interphase cells. Smek1ΔRanBD contains domains that can bind Par3 and PP4c, as shown by immunoprecipitation (Figure 2C and and3C).3C). We thus asked whether ectopic expression of Smek1ΔRanBD promoted mislocalization of Par3 and PP4c during mitosis. When we expressed Smek1ΔRanBD ectopically in Smek1-depleted NPCs, cytoplasmic/cortical Par3 remained unchanged while Smek1ΔRanBD was nuclear (Figure S4D). In addition, no difference in localization of Par3 between Smek1-depleted and wild-type Smek1 re-expressing cells was observed, suggesting that Smek1 does not alter Par3 localization. To evaluate PP4c subcellular localization, chromosome-associated and cytosolic protein fractions were isolated from M phase-synchronized NPCs and compared by Western analysis using indicated antibodies (Figure 4D). Interestingly, PP4c protein levels increased in the chromosomal fraction from cells expressing Flag-Smek1ΔRanBD compared to control cells or wild-type Flag-Smek1, while in the cytosolic fraction the level of PP4c protein decreased, indicating altered localization of cytoplasmic PP4c to the nucleus. Taken together, these results demonstrate that PP4c subcellular localization depends on Smek1 localization during mitosis and suggest that cytoplasmic/cortical localization of Smek1 targets PP4 to Par3.

DISCUSSION

Neural stem and progenitor cells have been suggested as potential therapeutics for neurodegenerative disorders. However, understanding molecular and cellular mechanisms underlying their differentiation is a prerequisite to manipulating stem cell behavior. We show that Smek1, an evolutionarily conserved regulatory subunit of PP4, regulates neuronal differentiation and reveal an unreported function of PP4 in mammalian neurogenesis. Moreover, identification of Par3 as a novel Smek1-interacting protein and characterization of its conserved domains reveals a molecular mechanism by which Smek1 targets PP4 to Par3 during mitosis and negatively regulates Par3 function in neurogenesis.

In this study we identify Par3 as a PP4 substrate. We propose that Smek1, through its DUF625 domain, binds directly to the Par3 C-terminus. In NPCs Par3 is primarily cytoplasmic in interphase and mitosis. Thus, nuclear export of Smek1 to the cytoplasm is required for its interaction with Par3. We show dynamic changes in Smek1 subcellular localization in NPCs. While Smek1 localizes exclusively to the nucleus in interphase, during mitosis it becomes cytoplasmic. The RanBD of several proteins reportedly recognizes GTP-bound Ran (RanGTP), which directs assembly of spindle microtubules allowing chromosomal segregation and cytokinesis in mitosis (Carazo-Salas et al., 2001). Smek1 enrichment at spindle microtubules in metaphase and anaphase cells suggests that its RanBD may function in a RanGTP-dependent pathway during mitosis. Notably, nuclear export of Smek1 to the cytoplasm was observed from prometaphase cells when microtubules invade the nuclear space, and deletion of the Smek1 RanBD abolished this effect, as seen by nuclear localization. Thus our data suggest that Smek1 subcellular localization is regulated through the RanBD and that this activity may depend on microtubule dynamics functioning in a Ran-dependent pathway.

Most Smek homologs physically interact with the catalytic subunit PP4c (Gingras et al., 2005; Chowdhury et al., 2008), suggesting that the PP4 complex is evolutionarily conserved. We show that PP4c recognizes the Arm repeats region of Smek1 and its subcellular localization depends on Smek1 localization. Thus, nuclear export of Smek1 during mitosis facilitates dephosphorylation of Par3. This idea is supported by our observation that, while expression of Smek1 induced Par3 dephosphorylation in NPCs, expression of Smek1 mutants lacking RanBD and Arm repeats region did not. Interestingly, studies of Drosophila neuroblasts previously revealed that cell fate specification is tightly linked with phosphorylation status of bazooka protein (Betschinger et al., 2003; Krahn et al., 2009). However, it is now yet clear whether Par3 dephosphorylation directly regulates NPC neurogenesis. Although we could not identify specific phosphorylation sites targeted by PP4, our data defines three conserved domains of Smek1, namely RanBD, DUF625, and Arm repeats, necessary to target PP4 to its substrate Par3 and provides insight into the molecular mechanism by Smek1 to regulate PP4 function in NPCs.

We here show that Smek1 suppresses Par3, a negative regulator of neuronal differentiation. Par3 acts upstream of Notch signaling (Bultje et al., 2009), which critically regulates cell fate decision of NPCs in cortical development (Gaiano and Fishell, 2002). Notch gain-of-function activity inhibits neuronal differentiation (Nye et al., 1994), an effect similar to Smek1 loss-of-function. Moreover, Smek1 inhibits Par3-induced Notch reporter gene activity. Although it remains unclear whether Smek1 inhibits Par3’s ability to activate Notch signaling during mitosis, ensuring a neuronal fate, our data demonstrate Smek1 as a negative regulator of Par3 in regulating neuronal differentiation and suggest a novel role for PP4 in mammalian neurogenesis.

Supplementary Material   Click here to view.(13M, pdf)

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855259/bin/NIHMS530096-supplement-01.pdf

Acknowledgments   We thank the USC Transgenic Core Facility for generating mutant mice. This research is funded by a NIH grant to W.L (5R01NS067213) and an NRF grant (NRF-2011-35B-E00015) to J.L.

References

  • Betschinger J, Mechtler K, Knoblich JA. The Par complex directs asymmetric cell division by phosphorylating the cytoskeletal protein Lgl. Nature. 2003;422:326–330. [PubMed]
  • Bultje RS, Castaneda-Castellanos DR, Jan LY, Jan YN, Kriegstein AR, Shi SH. Mammalian Par3 regulates progenitor cell asymmetric division via notch signaling in the developing neocortex. Neuron.2009;63:189–202. [PMC free article] [PubMed]
  • Carazo-Salas RE, Gruss OJ, Mattaj IW, Karsenti E. Ran-GTP coordinates regulation of microtubule nucleation and dynamics during mitotic-spindle assembly. Nat Cell Biol. 2001;3:228–234. [PubMed]
  • Chowdhury D, Xu X, Zhong X, Ahmed F, Zhong J, Liao J, Dykxhoorn DM, Weinstock DM, Pfeifer GP, Lieberman J. A PP4-phosphatase complex dephosphorylates gamma-H2AX generated during DNA replication. Mol Cell. 2008;31:33–46. [PMC free article] [PubMed]
  • Costa MR, Wen G, Lepier A, Schroeder T, Gotz M. Par-complex proteins promote proliferative progenitor divisions in the developing mouse cerebral cortex. Development. 2008;135:11–22.[PubMed]
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Top women in biopharma 2015

Larry H. Bernstein, MD, FCAP, Curator

LPBI

Article ID #191: Top women in biopharma 2015. Published on 11/1/2015

WordCloud Image Produced by Adam Tubman

 

Top women in biopharma 2015
http://www.fiercebiotech.com/special-reports/top-women-biotech-2015

 

This year’s fiercest women in biopharma are seemingly doing it all.

Pioneering a fully integrated biotech in China? Check. Leading aging research at Google’s mysterious new life sciences upstart? Check. Changing the game for biotech innovators? Running the world’s largest consumer health player? Blazing the off-P&L financing trail? Check, check, check.

But while at times our 12 honorees have made it look easy, it hasn’t necessarily been that way. Biopharma is still a world dominated by men, which, according to Kleiner Perkins‘ Beth Seidenberg, means women “need to be the champions.”

“It’s a 50-50 world, but we see that 15% of founders or CEOs are women. Only 15% in the 50% that are women have good ideas? Come on,” she says.

Sometimes, though–as several of the women on this list know–being the champions means more than just leading by example, and they’re doing their parts to help others to the same levels of success through recruiting, volunteering and mentoring.

“Leadership is about creating futures that are not a direct path,” says the Broad Institute‘s Samantha Singer. “It’s about being courageous and being willing to speak about and talk about futures that aren’t obvious to other people. Take a stand for a future you can see, one you know can happen even when you can’t see how.”

As for the future we can see? It’s one that includes putting those they’ve inspired on this list sometime soon. — Carly Helfand (email | Twitter)

Revisit our previous Women in Biopharma features: 2014, 2013, 2012, 2011, and 2010.

Samantha Du
China biotech pioneer

Company: ZAI Lab
Title: Chairman and CEO

A lot of people want some of Samantha Du’s time as they pass through China, banking on the depth of her contacts and experience in the pharmaceutical industry’s commercial and regulatory landscape for a clearer path.

For Du, the mother of two sons in addition to her very full-time job as chairman, CEO and adviser at ZAI Lab, her own path to this spot started with a willingness to ask questions during a crucial management stint in licensing at Pfizer ($PFE).

“That was an important job for me professionally and personally,” Du said in a phone interview from Shanghai with FiercePharmaAsia. “I learned to ask questions to establish my own credibility.”

She did indeed manage to establish credibility in the development of multiple early- and late-stage products, two of which were approved and launched globally by Pfizer.

The experience opened up a new direction as managing director for Sequoia Capital China looking at healthcare investments. “That was a big step, making decisions on investments, but I had that other experience as well.”

That would have been as co-founder and effective chief scientific officer atHutchison China MediTech, which she helped lead to a 2006 IPO in London.

“I look back and the reward was always about building an enterprise for China biotech,” she said. “So ZAI Lab is the next stage and the aim is to have a fully-integrated biotech in China. We are not alone. It is so exciting now, so many biotech companies are now in China–and many will not make it. But the drive and building are real.”

That drive sees her sit on the boards of China-focused BGI Tech, JHL Biotech and Beta Pharma–as she easily walks between multinationals and growing companies.

Du holds a doctorate in biochemistry from the University of Cincinnati. She serves as an adjunct professor at Fudan University as well as an adviser to China on broad healthcare issues.

In September, ZAI Lab in-licensed global rights to a first-in-class monoclonal antibody aimed at treating autoimmune and other inflammatory diseases from Belgium’s UCB, following an in-licensed novel multikinase inhibitor aimed at a non-small cell lung cancer target from Sanofi ($SNY) in August.

ZAI Lab also in-licensed China rights to the Phase III liver cancer drug brivanib, an oral kinase inhibitor for oncology indications including hepatocellular carcinoma, from Bristol-Myers Squibb ($BMY) in March.

Overall, the biotech has successfully taken 5 novel drug candidates into clinical trials in China, conducted multiple IND trials in the U.S. and brought the first China-discovered drug into global Phase III trials. Not bad for a company that got its start in 2013.

 

Belén Garijo
From bedside to boardroom

Company: Merck KGaA
Title: CEO of Merck Healthcare

A doctor who entered the Spanish workforce among an oversupply of medical graduates, Belén Garijo practiced medicine for 6 years before joining the pharma industry. There was a “very high output of physicians that couldn’t get jobs easily,” she toldThe Wall Street Journal in a 2014 interview. So, she looked for other avenues to continue helping patients.

“I saw [pharmaceuticals] as an opportunity to continue to develop myself and serve the patients from a different place,” she told the newspaper.

But while the capacity in which she serves patients has changed, her fundamental approach has not. Her experience as a physician has influenced her management style, as CEO first of Merck Serono, and beginning in January this year, CEO of Merck Healthcare.

“I look at the business as I used to look at my patients. I recognize the symptoms. I go to the root cause to treat my business,” Garijo said.

She started out as medical director at Abbott’s ($ABT) Spanish affiliate and then moved to Abbott headquarters in Illinois as director of international medical affairs. In 1996, she joined Rhône-Poulenc Rorer in Spain as director of the oncology business unit. Following Rhône-Poulenc’s merger with Hoechst AG to form Aventis, Garijo then served as global vice president of oncology for the new company in New Jersey.

2003 saw her return to Spain, where she became the general manager of Sanofi-Aventis and led the merger in 2004. From there, she moved on to Paris, trading in Spain for all of Europe as she became Sanofi’s ($SNY) senior vice president of global operations Europe. Garijo oversaw Sanofi’s acquisition of Genzyme as its global integration leader.

In 2011, Garijo joined Merck KGaA as chief operating officer, before rising to president and CEO in less than three years. And barely a year later, she was named CEO of Merck Healthcare, which encompasses its biopharma, consumer health, allergopharma and biosimilars divisions.

When it comes to developing managerial expertise, Garijo brushes aside the idea of a “magic recipe.”

“I learned by making mistakes. I learned by taking risks. I learned by consulting with others. I don’t think it’s a magic recipe, but you know, just being aware of what do you do well and what can you do better?” she told the WSJ. “I think self-awareness is actually something that’s super important. You have to be very self-confident because you have to give this confidence to others every day.

 

Kristen Hege
Complacency is not an option

Company: Celgene
Title: VP of Translational Development, Hematology/Oncology

For Dr. Kristen Hege, Celgene’s ($CELG) San Francisco site lead, the decision to enter the field of biotech and medicine was born of her familial history and a passion for drug discovery. Throughout her career, that passion–in addition to her optimism–has allowed her to navigate the field successfully in spite of challenges along the way.

Hege lost her parents–both physicians–by the age of 20, and her brother in the 1990s AIDS epidemic. The loss of her parents–she thinks of her mother as a “pioneer” in her field–taught Hege to be pragmatic and have a “deep appreciation for good health.” Later in life, she served as her brother’s primary caregiver until his death just one year before effective AIDS meds hit the market.

“That had significant impact on me and how much time matters when you are talking about new drug development,” she told FierceBiotech. “The difference of a year or two in delivery of these significant new drugs to the patient really does matter. Complacency is not an option in this world when there are these real lives that are cut short because they happen to not have a drug approved at that moment in time.”

Hege completed her MD at the University of California, San Francisco, and her residency in internal medicine at Brigham & Women’s Hospital, afterward returning to the Bay Area for her fellowship in hematology and oncology at UCSF. It was during the ’90s, though, that she began to notice a lot of innovation in the biotech sector.

After talking about her interests with her program’s visiting doctor, Stephen Sherwin, the two agreed “basically on a handshake” that she could complete her two years of fellowship research at Sherwin’s biotech, Cell Genesys, Hege explained, a move that would end up sparking her fascination with the industry side of things. Six months after returning to UCSF for the academic career she’d always imagined, she had an epiphany, realizing she was more excited about the company’s technology. It wasn’t long before she ended up at the company where she’d spend 14 years, though she never gave up her UCSF appointment.

 

Cynthia Kenyon
Continuing her life’s work on aging with the power of Google

Company: Calico (Google)
Title: Vice President of Aging Research

Google’s ($GOOG) Calico has kept very quiet in most respects, shrouding its research and business prospects in a blanket of generalities about aging and longevity. What has generated the most excitement, however, is the crack team Calico has assembled over the past couple of years, including one of the foremost experts on aging from the University of California in San Francisco: Cynthia Kenyon.

Kenyon, a renowned geneticist, left UCSF last year for Calico after advising the startup in its first few months, though she has also remained an emeritus professor at the school. She serves as the vice president of aging research at the Google-owned company, joining CEO Art Levinson and R&D chief Hal Barron, in a who’s who of biotech insiders.

At UCSF, Kenyon gained notoriety for decades of work on aging in roundworms, for which her genetic modifications could effectively double the lifespan. Her first foray into clinical therapies was the co-founding of Elixir Pharmaceuticals in 1999, which closed a few years ago after a Novartis ($NVS) buyout fizzled due to cash concerns during the economic recession. And that’s where Google’s deep pockets will likely allow Kenyon and the rest of the team at Calico to reverse course and take their work to the next level.

 

Samantha Singer
Forging a nontraditional path

Company: The Broad Institute
Title: Chief Operating Officer

Samantha Singer’s journey toward becoming chief operating officer at the Broad Institute has followed a unique trajectory. Singer joined the institute in April 2014 after a long tenure at Biogen ($BIIB) and worked in healthcare and biomedical consulting at different points in her career.

“I wanted to follow my interests and passions,” Singer told FierceBiotech. “Because I haven’t had a path that is based on specific expertise, I haven’t had a series of opportunities that someone can map out. It’s not an obstacle or a challenge, but it’s something that has made it more challenging than for someone with a functional expertise.”

Before jumping into the biotech industry, Singer started a PhD program in molecular biology at Rockefeller University. But “working at the lab bench wasn’t for me,” she said, and she decided to complete a master’s degree instead.

From there, Singer started working in management consulting. She concentrated mostly on the research side of things at the global management consulting firm Boston Consulting Group, but found herself acting as a translator between the research and business departments. The experience prompted Singer to get an MBA from Harvard University. “I wanted to think through what strategy and business looked like,” she said.

Singer then decided to pursue an entrepreneurial partnership, which led to her first encounter with her now-employer, she said. Along with her business partner at the time, Singer wrote the Broad’s initial business plan, setting the wheels in motion for not only the institute but also her next career move. “I got really interested less in strategy but in how you execute the strategy. How do you help people execute against a vision you have?” she said.

Soon thereafter, Singer started working for Biogen in the company’s Organization Effectiveness group. During her 7 years at Biogen she led the biotech’s Supply Chain operations for new product launches and also served as chief of staff for CEO George Scangos.

Since joining the Broad a year and a half ago as COO, Singer has worked with different teams to refine the organization’s vision and to make it more effective, she said. In the past year alone, the Broad has inked deals with key biopharma and med tech players, lending its expertise to companies’ R&D initiatives. In March, Bayer said it would use the Broad’s genomic analysis expertise to find new therapies for cardiovascular diseases. In June, the institute announced it would partner with tech titan Google ($GOOG) on a Big Data initiative.

“We have these technological platforms, leading edge organizations that do technological development and we work with scientists across the institute to execute broad ambitions they have. We’re looking ahead over the next 10 years, asking, how do we do that?” Singer said.

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Proteins that control neurotransmitter release

Author & Curator: Larry H. Bernstein, MD, FCAP

Richard H. Scheller, PhD

The sec6/8 Complex Is Located at Neurite Outgrowth and Axonal Synapse-Assembly Domains

Christopher D. Hazuka, Davide L. Foletti, Shu-Chan Hsu, Yun Kee, F. Woodward Hopf, and Richard H. Scheller
Department of Molecular and Cellular Physiology, Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305-5428

The Journal of Neuroscience, February 15, 1999, 19(4):1324–1334   http://www.jneurosci.org/content/19/4/1324.full.pdf

The molecules that specify domains on the neuronal plasma membrane for the delivery and accumulation of vesicles during neurite outgrowth and synapse formation are unknown. We investigated the role of the sec6/8 complex, a set of proteins that specifies vesicle targeting sites in yeast and epithelial cells, in neuronal membrane trafficking. This complex was found in layers of developing rat brain undergoing synaptogenesis. In cultured hippocampal neurons, the sec6/8 complex was present in regions of ongoing membrane addition: the tips of growing neurites, filopodia, and growth cones. In young axons, the sec6/8 complex was also confined to periodic domains of the plasma membrane. The distribution of synaptotagmin, synapsin1, sec6, and FM1–43 labeling in cultured neurons suggested that the plasma membrane localization of the sec6/8 complex preceded the arrival of synaptic markers and was downregulated in mature synapses. We propose that the sec6/8 complex specifies sites for targeting vesicles at domains of neurite outgrowth and potential active zones during synaptogenesis. Key words: synaptogenesis; neurotransmission; secretion; exocytosis; synaptic vesicle; vesicle targeting

Targeting of vesicles to synaptic sites during development may use similar mechanisms as those involved in vesicle fusion underlying membrane outgrowth. Before contact with a postsynaptic target, axons possess mobile vesicle clusters bearing synaptotagmin, which fuse with the plasma membrane after stimulation (Matteoli et al., 1992; Kraszewski et al., 1995; Dai and Peng, 1996). Thus, growing axons must contain the molecular machinery required for constitutive exocytosis, endocytosis, and activitydependent vesicle release. However, it is unclear how vesicles become clustered at synapses. Although vesicle fusion in axons might occur anywhere along the plasma membrane, there must be membrane targets that signal the clustering of vesicles for synapse formation. Furthermore, it is unclear how sites of vesicle exocytosis are modified as the neuron forms stable contacts with postsynaptic partners.

Identification of a Novel Rab11/25 Binding Domain Present in Eferin and Rip Proteins

Rytis Prekeris*, Jason M. Davies*, and Richard H. Scheller#
JBC Papers in Press. Published on July 31, 2001 as Manuscript M106133200
http://www.jbc.org/content/early/2001/07/31/jbc.M106133200.full.pdf

Rab11, a low molecular weight GTP binding protein, has been shown to play a key role in a variety of cellular processes, including endosomal recycling, phagocytosis, and transport of secretory proteins from the TGN. In this study we describe a novel Rab11 effector, EF hands containing Rab11 interacting protein (eferin). In addition, we identify a 20 amino acid domain that is present at the C-terminus of eferin and other Rab11/25 interacting proteins, such as Rip11 and nRip11. Using biochemical techniques we demonstrate that this domain is necessary and sufficient for Rab11 binding in vitro and that it is required for localization of Rab11 effector proteins in vivo. The data suggest that various Rab effectors compete with each other for the binding to Rab11/25 possibly accounting for the diversity of Rab11 functions.

Members of the Rab/Ypt GTPase family have emerged as important regulators of vesicular trafficking (1). Rab proteins have been proposed to mediate a variety of functions, including vesicle translocation and docking at a specific fusion sites. Like all small GTPases, Rabs cycle between active (GTP bound) and inactive (GDP bound) conformations (2). In the GTP bound state, Rab proteins can bind a variety of downstream effector proteins, while GTP hydrolysis leads to a conformational change in the “switch” region that renders the Rab GTPase unrecognizable to its effector proteins (3,4). A key question in understanding the interactions between Rabs and their effectors concerns the mechanisms by which Rab GTPases specifically bind a diverse spectrum of effectors and how this is regulated by the common structural motif used as a GTP switch. Biochemical and genetic studies have identified several hypervariable regions that might be involved in determining Rab specificity, including N- and C-termini, as well as α3/β5 by guest on September 6, 2015 http://www.jbc.org/ Downloaded from loop (5,6). Indeed, the recently reported structure of Rab3a bound to a putative effector, rabphillin-3a, revealed that Rab3a/rabphillin-3a complex interacts through two main regions (7). The first consists of conformationally sensitive “switch” regions of Rab3a bound to the a1 helix and the C-terminal part of rabphillin-3a. The second involves the SGAWFF domain of rabphillin-3a which fits into a pocket formed by the three hypervariable complementary determining regions (CDRs) of Rab3a, corresponding to the N- and C-termini and α3/β5 loop. Thus, it appears that the hypervariable RabCDR are involved in determining the specificity of effector binding, while the conserved “switch” regions impart GTP dependency and binding. It remains to be determined, however, whether this paradigm also applies to other Rab/effector complexes. Rab11a, -11b, and -25 are closely related members of Rab GTPase family that have been implicated in regulating a variety of different post-Golgi trafficking pathways, such as protein recycling (8), phagocytosis (9), insulin-stimulated Glut4 insertion in the plasma membrane (10), and membrane trafficking from early endosomes to the transGolgi network (11). During the last few years several Rab11/25 interacting proteins have been identified, including Rab11BP/Rabphilin-11, Rip11, nRip11, and myosin Vb (12- 15). However, the mechanisms of their function, as well as molecular aspects of their interactions with Rab11, remain to be fully understood. In the present study, we report the identification of EF-hands containing Rab11/25 interacting protein (eferin). Furthermore, we characterized a Rab binding domain (RBD11) which is present at the Cterminus of eferin as well as other Rab11/25 binding proteins, such as Rip11 and nRip11. Using biochemical techniques we demonstrated that RBD11 is the region which encodes the specificity for Rab11/25, but is distinct from the region interacting with Rab “switch” domain, since its interactions with the Rab11/25 are not GTP-dependent.

The functional significance of the differences in Rip and eferin interactions with Rab11/25 remains to be determined. One possibility is that additional cellular factors can regulate the affinity of Rab11/25 binding to its effectors. Indeed, the recombinant full length Rip11 binds poorly to Rab11a in pull down and yeast-two hybrid assays as compared to full length endogenous Rip11 from cellular TX-100 extracts (data not shown). Furthermore, it has been previously shown that Rip11 can also interact with γSNAP and cytoskeleton (13,24). Thus, the interactions of Rips and eferin with different factors could be used as a means of differentially regulating Rab11/25 binding. Alternatively, the Rab11/25 binding motif in eferin and Rip11 might be conformationlly hidden and require activation before binding to Rab11/25. We have previously demonstrated that phosphorylation of Rip11 plays an important role in its trafficking (13). Thus, differential phosphorylation on Rab11/25 binding motifs could also play a role in regulating the binding of Rip11 and eferin to Rab GTPases. Despite to recent progress in understanding the roles of Rabs and their effectors in regulating membrane trafficking, we are only beginning to unravel the structural determinants of their function. Identification and characterization of the Rab11/25 binding regions in Rip and Eferin proteins will be of a crucial importance in understanding the molecular mechanisms involved in differential regulation of the variety of Rab11-dependent trafficking pathways.

J. Immunol. Methods
J Immunol Methods 2008 Mar 14;332(1-2):41-52. Epub 2008 Jan 14.
Genentech Inc., 1DNA Way, South San Francisco, California, 94080, United States. jagath@gene.com
Cysteines with reactive thiol groups are attractive tools for site-specific labeling of proteins. Engineering a reactive cysteine residue into proteins with multiple disulfide bonds is often a challenging task as it may interfere with structural and functional properties of the protein. Here we developed a phage display-based biochemical assay, PHESELECTOR (Phage ELISA for Selection of Reactive Thiols) to rapidly screen reactive thiol groups on antibody fragments without interfering with their antigen binding, using trastuzumab-Fab (hu4D5Fab) as a model system

Antibody-drug conjugates enhance the antitumor effects of antibodies and reduce adverse systemic effects of potent cytotoxic drugs. However, conventional drug conjugation strategies yield heterogenous conjugates with relatively narrow therapeutic index (maximum tolerated dose/curative dose). Using leads from our previously described phage display-based method to predict suitable conjugation sites, we engineered cysteine substitutions at positions on light and heavy chains that provide reactive thiol groups and do not perturb immunoglobulin folding and assembly, or alter antigen binding.

Neuron
Neuron 2008 Nov;60(3):400-1

Antibody drug conjugates (ADCs) combine the ideal properties of both antibodies and cytotoxic drugs by targeting potent drugs to the antigen-expressing tumor cells, thereby enhancing their antitumor activity. Successful ADC development for a given target antigen depends on optimization of antibody selection, linker stability, cytotoxic drug potency, and mode of linker-drug conjugation to the antibody. Here, we systematically examined the in vitro potency as well as in vivo preclinical efficacy and safety profiles of a heterogeneous preparation of conventional trastuzumab-mcc-DM1 (TMAb-mcc-DM1) ADC with that of a homogeneous engineered thio-trastuzumab-mpeo-DM1 (thioTMAb-mpeo-DM1) conjugate.

Sensory and signaling pathways are exquisitely organized in primary cilia. Bardet-Biedl syndrome (BBS) patients have compromised cilia and signaling. BBS proteins form the BBSome, which binds Rabin8, a guanine nucleotide exchange factor (GEF) activating the Rab8 GTPase, required for ciliary assembly.

The reactive thiol in cysteine is used for coupling maleimide linkers in the generation of antibody conjugates. To assess the impact of the conjugation site, we engineered cysteines into a therapeutic HER2/neu antibody at three sites differing in solvent accessibility and local charge. The highly solvent-accessible site rapidly lost conjugated thiol-reactive linkers in plasma owing to maleimide exchange with reactive thiols in albumin, free cysteine or glutathione.

The intracellular pathogenic bacterium Salmonella enterica serovar typhimurium (Salmonella) relies on acidification of the Salmonella-containing vacuole (SCV) for survival inside host cells. The transport and fusion of membrane-bound compartments in a cell is regulated by small GTPases, including Rac and members of the Rab GTPase family, and their effector proteins. However, the role of these components in survival of intracellular pathogens is not completely understood.

Nat. Med.
Nat Med 2013 Oct;19(10):1232-5
Genentech Research and Early Development, 1 DNA Way, San Francisco, California, USA.
MAbs
MAbs 2014 Jan-Feb;6(1):95-107
Multi-transmembrane proteins are especially difficult targets for antibody generation largely due to the challenge of producing a protein that maintains its native conformation in the absence of a stabilizing membrane. Here, we describe an immunization strategy that successfully resulted in the identification of monoclonal antibodies that bind specifically to extracellular epitopes of a 12 transmembrane protein, multi-drug resistant protein 4 (MRP4). These monoclonal antibodies were developed following hydrodynamic tail vein immunization with a cytomegalovirus (CMV) promoter-based plasmid expressing MRP4 cDNA and were characterized by flow cytometry.

Antibody-drug conjugates (ADCs) have a significant impact toward the treatment of cancer, as evidenced by the clinical activity of the recently approved ADCs, brentuximab vedotin for Hodgkin lymphoma and ado-trastuzumab emtansine (trastuzumab-MCC-DM1) for metastatic HER2+ breast cancer. DM1 is an analog of the natural product maytansine, a microtubule inhibitor that by itself has limited clinical activity and high systemic toxicity. However, by conjugation of DM1 to trastuzumab, the safety was improved and clinical activity was demonstrated.

Richard H Scheller, PhD

Published on 16 Sep 2014

The Keck School of Medicine of USC is the first medical school in the nation to host the Lasker Lectures, featuring recipients of the prestigious 2013 Albert Lasker Basic Medical Research Award. In this installment, Richard H. Scheller, PhD, executive vice president of Genentech research and early development, discusses breakthoughs in drug development that are turning the tide in the war against cancer.

https://www.youtube.com/watch?v=Fx54EVJMcxM

Kavli Prize 2015

Xenon Pharmaceuticals Appoints Dr. Richard H. Scheller to Its Board of Directors

Biopharmaceutical company Xenon Pharmaceuticals (NasdaqGM:XENE) reported on Monday the addition of Richard H. Scheller, PhD to its board of directors.

Most recently, Dr Scheller has served as chief science officer and head of Therapeutics at 23andMe.

Previously Dr Scheller was the executive vice president at Genentech Research and Early Development & a member of the Roche Corporate Executive Committee; chief scientific officer, executive vice president of Research and senior vice president of Research at Genentech; as well as a professor of Molecular and Cellular Physiology and of Biological Sciences at Stanford University Medical Center and an investigator of the Howard Hughes Medical Institute.

Dr Scheller is currently an adjunct professor in the Department of Biochemistry and Biophysics, School of Medicine at the University of California, San Francisco.

He has been a Director at Xenon Pharmaceuticals Inc. since March 16, 2015 and Medrio, Inc. since November 2012. He serves as a Member of the Medical and Scientific Review Board of Evotec (US), Inc. (Renovis Inc.). In 2014, he was named a trustee of Caltech. He served as a Member of Scientific Advisory Board of Intra-Cellular Therapies, Inc. and Rinat Neuroscience Corporation.

He served on numerous advisory boards including the National Advisory Mental Health Council of the National Institutes of Health. Dr. Scheller served as chairman of the Genentech Foundation’s board of directors. He is a globally recognized leader in biomedical research.

He has published over 200 papers in scientific journals, and worked in cell biology. He has received several additional awards for his work elucidating the molecular mechanisms governing neurotransmitter release, including the 2013 Albert Lasker Basic Medical Research Award, the 2014 California Institute of Technology’s Caltech Distinguished Alumni Award, the 2010 Kavli Prize in Neuroscience, and the 1997 U.S. National Academy of Sciences Award in Molecular Biology. He is a Fellow of the American Academy of Arts and Sciences. Dr. Scheller holds a Doctorate in Chemistry from the California Institute of Technology in 1980, where he was also a Postdoctoral Fellow, Division of Biology. He was also a Postdoctoral Fellow at Columbia University, College of Physicians & Surgeons. He has Bachelor’s Degree in Biochemistry in 1975 at the University of Wisconsin, Madison.

Education: 1971-1975 University of Wisconsin-Madison B.S. – Biochemistry with Honors 1975-1980 California Institute of Technology Ph.D. – Chemistry – Advisor: Eric H. Davidson 1980-1981 California Institute of Technology Postdoctoral Fellow-Division of Biology Advisor: Eric H. Davidson 1981-1982 Columbia University-College of Physicians & Surgeons Postdoctoral Fellow-Molecular Neurobiology Advisors: Richard Axel and Eric R. Kandel Industry Positions: 2001-2003 Senior Vice President – Research Genentech, Inc. 2003-2009 Executive Vice President – Research Genentech, Inc. 2008-2009 Chief Scientific Officer and Executive Vice President – Research Genentech, Inc. 2009- Executive Vice President – Genentech Research and Early Development (gRED) and Member of the Enlarged Roche Corporate Executive Committee Academic Appointments: 1982-1987 Assistant Professor, Department of Biological Sciences, Stanford University 1987-1990 Associate Professor, Department of Biological Sciences, Stanford University 1990-1993 Associate Professor, Department of Molecular and Cellular Physiology, Stanford University Associate Professor (by courtesy), Department of Biological Sciences, Stanford University

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Envisage-Wistar Partnership and Immunacel LLC Presents at PCCI

Reporter: Stephen J. Williams, PhD

The Pharmaceutical Consulting Consortium International (PCCI) June Meeting: Envisage-Wistar Partnership and Immunacel LLC

An early stage healthcare venture creation and management firm

Presenter: Vic Subbu, COO of Immunacel & Managing Partner of Envisage and Heather Steinman, VP of Business Development & Executive Director Tech Transfer Wistar Institute

Monday, June 8, 2015

Embassy Suites, Chesterbrook, Pennsylvania (directions)

Announcement from the PCCI website:

Much has been said lately about how to improve the tech transfer situation. Wistar is meeting this challenge. Immunacel is the first of a series of developmental challenges and the Envisage-Wistar partnership solution becomes the meat of the evening’s discussion.

The Wistar Institute is the nation’s first independent institution devoted to medical research and training. The Wistar Institute has evolved from its beginnings as an anatomical teaching museum to its present-day status as an international leader in basic biomedical research.

Envisage LLC is an early stage healthcare venture creation and management firm. By focusing on key healthcare segments, Envisage aims to identify and advance promising healthcare innovations into value-add ventures.

IMMUNACCEL LLC is a Wistar Institute spin-out focused on accelerating the development of immune-mediated treatments for cancer and other unmet medical needs:

MMUNACCEL’s 3-D cancer-immune cell organotypic culture system is a physiologically relevant culture system utilizing primary human cancer cells and cytotoxic T cells (CTL) generated from patient T-cells, amongst fibroblasts and collagen assembled in a 3-D organotypic model.

Other related articles on PCCI and Philadelphia Biotech were published in this Open Access Online Scientific Journal, include the following:

PCCI’s 7th Annual Roundtable “Crowdfunding for Life Sciences: A Bridge Over Troubled Waters?” May 12 2014 Embassy Suites Hotel, Chesterbrook PA 6:00-9:30 PM

Protecting Your Biotech IP and Market Strategy: Notes from Life Sciences Collaborative 2015 Meeting

The Vibrant Philly Biotech Scene: Focus on KannaLife Sciences and the Discipline and Potential of Pharmacognosy

The Vibrant Philly Biotech Scene: Focus on Computer-Aided Drug Design and Gfree Bio, LLC

The Vibrant Philly Biotech Scene: Focus on Vaccines and Philimmune, LLC

The Bioscience Crowdfunding Environment: The Bigger Better VC?

R&D Alliances between Big Pharma and Academic Research Centers: Pharma’s Realization that Internal R&D Groups alone aren’t enough

BIO Partnering: Intersection of Academic and Industry: BIO INTERNATIONAL CONVENTION June 23-26, 2014 | San Diego, CA

Diagnostics and Biomarkers: Novel Genomics Industry Trends vs Present Market Conditions and Historical Scientific Leaders Memoirs

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Tweeting by @pharma_BI and by @AVIVA1950 for #AM2015 and @MassBio LIVE from MassBio Annual Meeting 2015, Cambridge, MA, Sonesta Hotel, March 26 – March 27, 2015

Reporter: Aviva Lev-Ari, PhD, RN

Article ID #172: Tweeting by @pharma_BI and by @AVIVA1950 for #AM2015 and @MassBio LIVE from MassBio Annual Meeting 2015, Cambridge, MA, Sonesta Hotel, March 26 – March 27, 2015. Published on 3/28/2015

WordCloud Image Produced by Adam Tubman

by  @pharma_BI

Presentations Content for All Business Track Panels and the Scientific Panel on Immunotherapy @ MassBio Annual…

12:45 pm – 1:30 pm 3/27/2015 LIVE Keynote: Andrew Lo, Director of the MIT Laboratory for…

12:45 pm – 1:30 pm 3/27/2015 LIVE Keynote: Andrew Lo, Director of the MIT Laboratory for Financial Engineering @…

11:00 am – 12:00 pm, 3/27/2015 LIVE Defining Value @ MassBio Annual Meeting 2015, Cambridge,…

11:00 am – 12:00 pm, 3/27/2015 LIVE Defining Value @ MassBio Annual Meeting 2015, Cambridge, MA, Sonesta Hotel,…

9:40 am – 10:30 am 3/27/2015 LIVE Better Business Track: The Evolving Reimbursement Landscape…

9:40 am – 10:30 am 3/27/2015 LIVE Better Business Track: The Evolving Reimbursement Landscape @ MassBio Annual…

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8:40 am – 9:30 am 3/27/2015 LIVE Better Business Track: Innovative Ways to Fund Your Early-Stage Company @ MassBio…

9:00 am – 9:30 am 3/26/2015 LIVE – Welcome Remarks & MassBio Board Elections @ MassBio Annual…

3:30 pm – 4:20 pm 3/26/2015 Trends in Science Track: Immunotherapy – Oncology and Beyond @…

3:30 pm – 4:20 pm 3/26/2015 Trends in Science Track: Immunotherapy – Oncology and Beyond @ MassBio Annual Meeting…

2:25 pm – 3:15 pm 3/26/2015 Better Business Track: Externalizing Pharma R&D @ MassBio Annual…

2:25 pm – 3:15 pm 3/26/2015 Better Business Track: Externalizing Pharma R&D @ MassBio Annual Meeting 2015,…

1:30 pm – 2:20 pm 3/26/2015, LIVE Precision Medicine: Who’s Paying? @ MassBio Annual Meeting…

1:30 pm – 2:20 pm 3/26/2015, LIVE Precision Medicine: Who’s Paying? @ MassBio Annual Meeting 2015, Cambridge, MA,…

11:45 am – 1:30 pm 3/26/2015, The MassBio Annual Awards Luncheon @ MassBio Annual Meeting 2015…

11:45 am – 1:30 pm 3/26/2015, The MassBio Annual Awards Luncheon @ MassBio Annual Meeting 2015, Cambridge, MA,…

10:30 am – 11:30 am, 3/26/2015 – Better Business Track: It’s Not Your Grandfather’s…

10:30 am – 11:30 am, 3/26/2015 – Better Business Track: It’s Not Your Grandfather’s…

10:30 am – 11:30 am, 3/26/2015 – Better Business Track: It’s Not Your Grandfather’s Manufacturing @ MassBio Annual…

9:30 am – 10:15 am 3/26/2015, LIVE — Keynote: Kathy Guisti, Founder & Executive Chairman of…

9:30 am – 10:15 am 3/26/2015, LIVE — Keynote: Kathy Guisti, Founder & Executive Chairman of the Multiple Myeloma…

9:00 am – 9:30 am 3/26/2015 LIVE – Welcome Remarks & MassBio Board Elections @ MassBio Annual…

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by @AVIVA1950

LIVE Keynote: Andrew Lo, Director of the MIT Laboratory for Financia… via , , ,

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Trends in Science Track: Immunotherapy – Oncology and Beyond @ MassBio … via , ,,

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3/26/2015 – Better Business Track: It’s Not Your Grandfather’s Manufacturing … via , ,

Kathy Guisti, Founder & Executive Chairman of the Mu… via , ,

LIVE — Keynote: Kathy Guisti, Founder & Executive Chairman of the Mu… via ,

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RNAi – On Transcription and Metabolic Control

Writer and Curator: Larry H Bernstein, MD, FCAP

 

RNAi

This is the third contribution to a series on transcription and metabolic control. It reveals the enormous complexity in this emerging research.

 

mRNA, small RNAs, long RNAs, RNAi and DicAR

Aberrant mRNA translation in cancer pathogenesis
Pier Paolo Pandolfi
Oncogene (2004) 23, 3134–3137
http://dx.doi.org:/10.1038/sj.onc.1207618

As the molecular processes that control mRNA translation and ribosome biogenesis in the eukaryotic cell are extremely complex and multilayered, their deregulation can in principle occur at multiple levels, leading to both disease and cancer pathogenesis. For a long time, it was speculated that disruption of these processes may participate in tumorigenesis, but this notion was, until recently, solely supported by correlative studies. Strong genetic support is now being accrued, while new molecular links between tumor-suppressive and oncogenic pathways and the control of protein synthetic machinery are being unraveled. The importance of aberrant protein synthesis in tumorigenesis is further underscored by the discovery that compounds such as Rapamycin, known to modulate signaling pathways regulatory of this process, are effective anticancer drugs. A number of fundamental questions remain to be addressed and a number of novel ones emerge as this exciting field evolves.

 

mRNA Translation and Energy Metabolism in Cancer
I. Topisirovic and N. Sonenberg
Cold Spring Harbor Symposia on Quantitative Biology, Volume LXXVI
http://dx.doi.org:/10.1101/sqb.2011.76.010785

A prominent feature of cancer cells is the use of aerobic glycolysis under conditions in which oxygen levels are sufficient to support energy production in the mitochondria (Jones and Thompson 2009; Cairns et al. 2010). This phenomenon, named the “Warburg effect,” after its discoverer Otto Warburg, is thought to fuel the biosynthetic requirements of the neoplastic growth (Warburg 1956; Koppenol et al. 2011) and has recently been acknowledged as one of the hallmarks of cancer (Hanahan and Weinberg 2011). mRNA translation is the most energy-demanding process in the cell (Buttgereit and Brand 1995).In mammalian cells it consumes >20% of cellular ATP, not considering the energy that is required for the biosynthesis of the components of the translational machinery (e.g., ribosome biogenesis; Buttgereit and Brand 1995). Control of mRNA translation plays a pivotal role in the regulation of gene expression (Sonenberg and Hinnebusch 2009). In fact, a recent study demonstrated that mammalian proteome is mostly governed at the mRNA translation level (Schwanhausser et al. 2011). Malfunction of mRNA translation critically contributes to human disease, including diabetes, heart disease, blood disorders, and, most notably, cancer (Fig. 1; Crozier et al. 2006; Narla and Ebert 2010; Silvera et al. 2010; Spriggs et al. 2010). The first account of changes in the translational apparatus in cancer dates back to 1896, showing enlarged and irregularly shaped nucleoli that are the site of ribosome biogenesis (Pianese 1896). Rapidly proliferating cancer cells have more ribosomes than normal cells.

Figure 1. Dysregulated mRNA translation plays a pivotal role in cancer. Malignant cells are characterized by enlarged nucleoli and a larger number of ribosomes than their normal counterparts. Mutations and/or altered expression of ribosomal proteins (e.g., RPS19, RPS 24), rRNA-modifying enzymes (e.g., dyskerin), translation initiation factors (e.g., eIF4E), or the initiator tRNA (tRNAiMet) result in malignant transformation. Signaling pathways whose dysfunction is frequent in cancer (e.g., MAPK, PI3K/AKT) affect mRNA translation. Perturbations in the translatome result in aberrant cellular growth, proliferation, and survival characteristic of tumorigenesis.

 

In stark contrast to normal cells, in cancer cells ribosomal biogenesis is uncoupled from cell proliferation (Stanners et al. 1979). Accordingly, cancer cells exhibit abnormally high rates of protein synthesis (Silvera et al. 2010). That ribosomal dysfunction plays a central role in cancer is further corroborated by the findings that genetic alterations, which encompass the components of the ribosome machinery (i.e., “ribosomopathies”), are characterized by elevated cancer risk (Narla and Ebert 2010).

mRNA translation is the most energy-consuming process in the cell and strongly correlates with cellular metabolic activity. Translation and energy metabolism play important roles in homeostatic cell growth and proliferation, and when dysregulated lead to cancer. eIF4E is a key regulator of translation, which promotes oncogenesis by selectively enhancing translation of a subset of tumor-promoting mRNAs (e.g., cyclins and c-myc). PI3K/AKT and mitogen-activated protein kinase (MAPK) pathways, which are strongly implicated in cancer etiology, exert a number of their biological effects by modulating translation. The PI3K/AKT pathway regulates eIF4E function by inactivating the inhibitory 4E-BPs via mTORC1, whereas MAPKs activate MAP kinase signal-integrating kinases 1 and 2, which phosphorylate eIF4E. In addition, AMP-activated protein kinase, which is a central sensor of the cellular energy balance, impairs translation by inhibiting mTORC1. Thus, eIF4E plays a major role in mediating the effects of PI3K/AKT, MAPK, and cellular energetics on mRNA translation.Figure 2. eIF4E is regulated by multiple mechanisms. The expression of eIF4E is regulated by several transcription factors (e.g., c-myc, hnRNPK, p53) and adenine-uracil-rich element binding proteins (i.e., HuR and AUF1). eIF4E is suppressed by 4E-BPs, which are regulated by mTORC1. MAP kinase signal integrating kinases 1 and 2 (MNKs) phosphorylate eIF4E.

 

Figure 3. Ras/MAPK and PI3K/AKT/mTORC1 regulate the activity of eIF4E. Various stimuli activate phosphoinositide-3-kinase (PI3K) through the receptor tyrosine kinases (RTKs). Upon activation, PI3K converts phosphatidylinositol 4,5-bisphosphate (PIP2) into phosphatidylinositol-3,4,5-triphosphate (PIP3). This reaction is reversed by PTEN. Phosphoinositide-dependent protein kinase 1 (PDK1) and AKT bind to PIP3 via their pleckstrin homology domains, which allows for the phosphorylation and activation of AKT by PDK1. In addition, the mammalian target of rapamycin complex 2 (mTORC2) modulates the activity of AKT by phosphorylating its hydrophobic motif. AKT phosphorylates tuberous sclerosis complex 2 (TSC2) at multiple sites, which results in its inhibition and consequent activation of Ras homolog enriched in brain (Rheb), which is a small GTPase that activates mTORC1. mTORC1 phosphorylates 4E-BPs leading to their dissociation from eIF4E. In addition to the PI3K/AKT pathway, the activity of mTORC1 is regulated by the serine/threonine kinase 11/LKB1/AMP-kinase (LKB1/AMPK) pathway, regulated in development and DNA damage response 1 (REDD1) and Rag GTPases in response to the changes in cellular energy balance, oxygen and amino acid availability, respectively. Ras and the MAPK pathways are activated by various stimuli through receptor tyrosine kinases (RTKs). In addition the MAPK pathway isactivatedthrough theGprotein–coupled receptors(GPCRs) and byproteinkinaseC (PKC;notshown).TheMAPK pathways encompass an initial GTPase-regulated kinase (MAPKKK), which activates an effector kinase (MAPK) via an intermediate kinase (MAPKK). In response to stimuli such as growth factors, hormones, and phorbol-esters, Ras GTPase stimulates Raf kinase (MAPKKK), which activates extracellular signal-regulated kinases 1 and 2 (ERK 1 and 2) via extracellular signal-regulated kinase activator kinases MEK1 and 2 (MAPKK). Cellular stresses, including osmotic shock, inflammatory cytokines, and UV light, activate p38 MAPKs via multiple mechanisms including Rac kinase (MAPKKK) and MKK3 and 6 (MAPKK). p38 MAPK and ERK activate the MAPK signal–integrating kinases 1 and 2 (MNK1/2), which phosphorylate eIF4E. Additional abbreviations are provided in the text.

 

Cancer Exosomes Perform Cell-Independent MicroRNA Biogenesis and Promote Tumorigenesis
Cancer Cell Nov, 2014; 26: 707–721.
http://dx.doi.org/10.1016/j.ccell.2014.09.005

Breast cancer cells secrete exosomes with specific capacity for cell-independent miRNA biogenesis, while normal cellderivedexosomes lack thisability. Exosomes derivedfrom cancer cellsand serum frompatients withbreast cancer contain the RISC loading complex proteins, Dicer, TRBP, and AGO2, which process pre-miRNAs into mature miRNAs. Cancer exosomes alter the transcriptome of target cells in a Dicer-dependent manner, which stimulate nontumorigenic epithelial cells to form tumors.This study identifies a mechanism whereby cancer cells impart an oncogenic field effect by manipulating the surrounding cells via exosomes. Presence of Dicer in exosomes may serve as biomarker for detection of cancer.


Dicers at RISC. The Mechanism of RNAi

Marcel Tijsterman and Ronald H.A. Plasterk
Cell, Apr 2014; 117:1–4

Figure 1. Model for RNA Silencing in Drosophila In an ordered biochemical pathway, miRNAs (left panel) and siRNAs (right panel) are processed from double-stranded precursor molecules by Dcr-1and Dcr-2, respectively, and stay attached to Dicer-containing complexes, which assemble into RISC. The degree of complementarity between the RNA silencing molecule (in red) and its cognate target determines the fate of the mRNA: blocked translation or immediate destruction.

Argonaute2 Cleaves the Anti-Guide Strand of siRNA during RISC Activation
Cell 2005; 123:621-629
http://www.cell.com/cgi/content/full/123/4/621/DC1/
Dicing and slicing- The core machinery of the RNA interference pathway
Scott C Hammond
FEBS Letters 579 (2005) 5822–5829
http://dx.doi.org:/10.1016/j.febslet.2005.08.079

Fig. 1. Domain organization of RNaseIII gene family. Three classes of RNaseIII genes are shown. The PAZ domain in Dm-Dicer-2 contains mutations in several residues required for RNA binding and may not be functional.

Fig. 2. Model for Dicer catalysis. The PAZ domain binds the 2 nt 30 overhang of a dsRNA terminus. The RNaseIII domains form a pseudo-dimer. Each domain hydrolyzes one strand of the substrate. The binding site of the dsRBD is not defined. The function of the helicase domain is not known.

Fig. 3. Biogenesis pathway of microRNAs. MicroRNA genes are transcribed by RNA polymerase II. The primary transcript is referred to as ‘‘primicroRNA’’. Drosha processing occurs in the nucleus. The resulting precursor, ‘‘pre-microRNA’’, is exported to the cytoplasm for Dicer processing. In a coordinated manner, the mature microRNA is transferred to RISC and unwound by a helicase. mRNA targets that duplex in the Slicer scissile site are cleaved and degraded, if the microRNA is loaded into an Ago2 RISC. Mismatched targets are translationally suppressed. All Ago family members are believed to function in translational suppression.

Fig. 4. Model for Slicer catalysis. The siRNA guide strand is bound at the 50 end by the PIWI domain and at the 30 end by the PAZ domain. The 50 phosphate is coordinated by conserved basic residues. mRNA targets are initially bound by the seed region of the siRNA and pairing is extended to the 30 end. The RNaseH fold hydrolyzes the target in a cation dependent manner. Slicer cleavage is measured from the 50 end of the siRNA. Product is released by an unknown mechanism and the enzyme recycles.

 

 

RNA interference (RNAi) is a biological process in which RNA molecules inhibit gene expression, typically by causing the destruction of specific mRNA molecules. Historically, it was known by other names, including co-suppression, post transcriptional gene silencing (PTGS), and quelling. Only after these apparently unrelated processes were fully understood did it become clear that they all described the RNAi phenomenon. Andrew Fire and Craig C. Mello shared the 2006 Nobel Prize in Physiology or Medicine for their work on RNA interference in the nematode worm Caenorhabditis elegans, which they published in 1998.

 

Two types of small ribonucleic acid (RNA) molecules – microRNA (miRNA) and small interfering RNA (siRNA) – are central to RNA interference. RNAs are the direct products of genes, and these small RNAs can bind to other specific messenger RNA (mRNA) molecules and either increase or decrease their activity, for example by preventing an mRNA from producing a protein. RNA interference has an important role in defending cells against parasitic nucleotide sequences – viruses and transposons. It also influences development.

 

The RNAi pathway is found in many eukaryotes, including animals, and is initiated by the enzyme Dicer, which cleaves long double-stranded RNA (dsRNA) molecules into short double stranded fragments of ~20 nucleotide siRNAs. Each siRNA is unwound into two single-stranded RNAs (ssRNAs), the passenger strand and the guide strand. The passenger strand is degraded and the guide strand is incorporated into the RNA-induced silencing complex (RISC). The most well-studied outcome is post-transcriptional gene silencing, which occurs when the guide strand pairs with a complementary sequence in a messenger RNA molecule and induces cleavage by Argonaute, the catalytic component of the RISC complex. In some organisms, this process spreads systemically, despite the initially limited molar concentrations of siRNA.
http://en.wikipedia.org/wiki/RNA_interference

 

http://upload.wikimedia.org/wikipedia/commons/thumb/e/e4/ShRNA_Lentivirus.svg/481px-ShRNA_Lentivirus.svg.png

 

http://www.frontiersin.org/files/Articles/66078/fnmol-06-00040-HTML/image_m/fnmol-06-00040-g001.jpg
http://dx.doi.org:/10.3389/fnmol.2013.00040

The enzyme dicer trims double stranded RNA, to form small interfering RNA or microRNA. These processed RNAs are incorporated into the RNA-induced silencing.
MiRNA biogenesis and function. (A) The canonical miRNA biogenesis pathway is Drosha- and Dicer-dependent. It begins with RNA Pol II-mediated transcription..

 

Dicer Promotes Transcription Termination

Dicer Promotes Transcription Termination

Dicer Promotes Transcription Termination at Sites of Replication Stress to Maintain Genome Stability
Cell Oct 2014; 159(3): 572–583
http://dx.doi.org/10.1016/j.cell.2014.09.031

http://www.cell.com/cms/attachment/2019646604/2039684570/fx1.jpg

 

18-13 miRNA- protein complex ap-chap-18-pp-42-728

18-13 miRNA- protein complex ap-chap-18-pp-42-728

18-13 miRNA- protein complex (a) Primary miRNA transcript Translation blocked Hydrogen bond (b) Generation and function of miRNAs Hairpin miRNA miRNA Dicer …

http://image.slidesharecdn.com/ap-chap-18-pp-1229097198123780-1/95/ap-chap-18-pp-42-728.jpg?cb=1229090143

 

 

Identification and characterization of small RNAs involved in RNA silencing
FEBS Letters 579 (2005) 5830–5840
http://dx.doi.org:/10.1016/j.febslet.2005.08.009

Fig. 1. Small RNA cloning procedure. Outline of the small RNA cloning procedure. RNA is dephosphorylated (step 1) for joining the 30 adapter by T4 RNA ligase 1 in the presence of ATP (step 2). The use of a chemically adenylated adapter and truncated form of T4 RNA ligase 2 (Rnl2) allows eliminating the dephosphorylation step (step 4). If the RNA was dephosphorylated, it is re-phosphorylated (step 3) prior to 50 adapter ligation with T4 RNA ligase 1 and ATP (step 5). After 50 adapter ligation, a standard reverse transcription is performed (step 6). Alternatively, after 30 adapter ligation, the RNA is used directly for reverse transcription simultaneously with 50 adaptor joining (step 7). In this case, the property of reverse transcriptase to add non-templated cytidine residues at the 50 end of synthesized DNA is used to facilitate template switch of the reverse transcriptase to the 30 guanosine residues of the 50 adapter (SMART technology, Invitrogen). Abbreviations: P and OH indicate phosphate and hydroxyl ends of the RNA; App indicates 50 chemically adenylated adapter; L, 30 blocking group; CIP, calf alkaline phosphatase and PNK, polynucleotide kinase.

 

Transcriptional regulatory functions of nuclear long noncoding RNAs
Trends in Genetics, Aug 2014; 30(8):348-356
http://dx.doi.org/10.1016/j.tig.2014.06.001

Cis-acting lncRNAEnhancer-associated lncRNAIntergenic lncRNA

lncRNA

Promoter-associated lncRNA

Proximity transfer

Trans-acting lncRNA

 

Functional interactions among microRNAs and long noncoding RNAs
Sem Cell Dev Biol 2014; 34:9-14
http://dx.doi.org/10.1016/j.semcdb.2014.05.015
Genome-wide application of RNAi to the discovery of potential drug targets
FEBS Letters 579 (2005) 5988–599
http://dx.doi.org://10.1016/j.febslet.2005.08.015

Fig. 1. Schematic representation of gene silencing by an shRNA-expression vector. The shRNA is processed by Dicer. The processed siRNA enters the RNA-induced silencing complex (RISC), where it targets mRNA for degradation.

Fig. 2. Schematic representation of a transcription system for production of siRNA

Fig. 3. (A) Schematic representation of the proposed siRNA-expression system. Three or four C to U or A to G mutations are introduced into the sense strand. (B) Schematic representation of the discovery of a novel gene using an siRNA library.

 

Imperfect centered miRNA binding sites are common and can mediate repression of target mRNAs
Martin et al. Genome Biology 2014, 15:R51 http://genomebiology.com/2014/15/3/R51

 

 

 

 

Table 1 Number of inferred targets for each miRNA tested

miRNA Probes Transcripts Genes
miR-10a 2,206 5,963 1,887
miR-10a-iso 1,648 1,468 4,211
miR-10b 1,588 3,940 1,365
miR-10b-iso 963 2,235 889
miR-17-5p 1,223 2,862 1,137
miR-17-5p-iso 1,656 3,731 1,461
miR-182 2,261 6,423 2,008
miR-182-iso 1,569 4,316 1,444
miR-23b 2,248 5,383 1,990
miR-27a 2,334 5,310 2,069

Probes: number of probes significantly enriched in pull-downs compared to controls (5% FDR). Transcripts: number of transcripts to which those probes map exactly. Genes: number of genes from which those transcripts originate

Figure 2 Biotin pull-downs identify bone fide miRNA targets. (A) Volcano plot showing the significance of the difference in expression between the miR-17-5p pull-down and the mock-transfected control, for all transcripts expressed in HEK293T cells. Both targets predicted by TargetScan or validated previously via luciferase assay were significantly enriched in the pull-down compared to the controls. (B) Results from luciferase assays on previously untested targets predicted using TargetScan and uncovered using the biotin pull-down. The plot indicates mean luciferase activity from either the empty plasmid or from pMIR containing a miRNA binding site in the 3′ UTR, relative to a negative control. Asterisks indicate a significant reduction in luciferase activity (one-sided t-test; P<0.05) and error bars the standard error of the mean over three replicates. (C-E) Targets identified through PAR-CLIP or through miRNA over-expression studies show greater enrichment in the pull-down. Cumulative distribution of log fold-change in the pull-down for transcripts identified as targets by the indicated miRNA over-expression study or not. Red, canonical transcripts found to be miR-17-5p targets in the indicated study (Table S5 in Additional file 1); black, all other canonical transcripts; p, one-sided P-value from Kolmogorov-Smirnov test for a difference in distributions. (F) To confirm that our results were dependent on RISC association, cells were transfected with either single or double-stranded synthetic miRNAs, then subjected to AGO2 immunoprecipitation. The biotin pull-down was performed in the AGO2-enriched and AGO2-depleted fractions. (G-H) Quantitative RT-PCR revealed that, with double-stranded (ds) miRNA (G), four out of five known targets were enriched relative to input mRNA (*P≤0.05, **P<0.01, ***P<0.001) in the AGO2-enriched but not in the AGO2-depleted fractions, but this enrichment was not seen for the cells transfected with a single-stranded (ss) miRNA (H). The numbers on the x-axis correspond to those in Figure 2F. Error bars represent the standard error of mean (sem).

Figure 5 IsomiRs and canonical miRNAs target many of the same transcripts.

Hammerhead ribozymes in therapeutic target discovery and validation
Drug Disc Today 2009; 14(15/16): 776-783
http://dx.doi.org/10.1016/j.drudis.2009.05.003

Figure 1. Features of hammerhead ribozymes. A generic diagram of a hammerhead ribozyme bound to its target substrate: NUH is the cleavage triplet on target sequence, stems I and III are sites of the specific interactions between ribozyme and target, stem II is the structural element connecting separate parts of the catalytic core. Arrows represent the cleavage site, numbering system according to Hertel et al. [60].

hammerhead ribozyme

hammerhead ribozyme

https://www-ssrl.slac.stanford.edu/research/highlights_archive/ribozyme_fig1.jpg

 

Figure 1  Schematic (A) and ribbon (B) diagrams depicting the crystal structure of the full-length hammerhead ribozyme. The sequence and secondary structure

 

TABLE 1 Typical examples of successful applications of hammerhead ribozymes. Most of the data are derived from [10] and [11], the others are expressly specified.

  • Growth factors, receptors, transduction elements
  • Oncogenes, protoncogenes, fusion genes
  • Apoptosis, survival factors, drug resistance
  • Transcription factors
  • Extracellular matrix, matrix modulating factors
  • Circulating factors
  • Viral genome, viral genes

Figure 2.Target–ribozyme interactions. (a) As cheme of ribozyme binding to full substrate. The calculated energy of this binding ensures the formation of a stable complex. At the denaturating temperature, Tm, will allow this complex to survive to biological conditions. Conversely, after cleavage, binding energies calculated on single, (b) and (c), ribozyme arms are very low and no longer stable. These properties will ensure both the efficient release of cleavage fragments and the prevention of binding to unrelated targets. RNAs complementary to one binding arm only will not be bound or cleaved by the hammerhead catalytic sequence.

Figure 3. ‘Chemical omics’ approach. According to this target discovery strategy: (1) a first round of ‘omic’ study (proteomic, genomic, metabolomic, …) will enable the discovery of a set of (2) putative markers. A series of hammerhead ribozymes will then be prepared in order to target each marker. (4) A second ‘omic’ study round will be performed on (3) knocked down samples obtained after ribozymes administration. (5) A new series of markers will then be produced. An expanding analytical process of this type may be further repeated. Finally, a robust bioinformatic algorithm will make it possible to connect the different markers and draw new hypothetical links and pathways.

 

miRNA

ADAR Enzyme and miRNA Story
Sara Tomaselli, Barbara Bonamassa, Anna Alisi, et al.
Int. J. Mol. Sci. 2013, 14, 22796-22816;
http://dx.doi.org:/10.3390/ijms141122796

Adenosine deaminase acting on RNA (ADAR) enzymes convert adenosine (A) to inosine (I) in double-stranded (ds) RNAs. Since Inosine is read as Guanosine, the biological consequence of ADAR enzyme activity is an A/G conversion within RNA molecules. A-to-I editing events can occur on both coding and non-coding RNAs, including microRNAs (miRNAs), which are small regulatory RNAs of ~20–23 nucleotides that regulate several cell processes by annealing to target mRNAs and inhibiting their translation. Both miRNA precursors and mature miRNAs undergo A-to-I RNA editing, affecting the miRNA maturation process and activity. ADARs can also edit 3′ UTR of mRNAs, further increasing the interplay between mRNA targets and miRNAs. In this review, we provide a general overview of the ADAR enzymes and their mechanisms of action as well as miRNA processing and function. We then review the more recent findings about the impact of ADAR-mediated activity on the miRNA pathway in terms of biogenesis, target recognition, and gene expression regulation.

Figure 1. Structure of ADAR family proteins: ADAR1, ADAR2, and ADAR3. The ADAR enzymes contain a C-terminal conserved catalytic deaminase domain (DM), two or three dsRBDs in the N-terminal portion. ADAR1 full-length protein also contains a N-terminal Zα domain with a nuclear export signal (NES) and a Zβ domain, while ADAR3 has a  R-domain. A nuclear localization signal is also indicated.

 

Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites
Doron Betel, Anjali Koppal, Phaedra Agius, Chris Sander, Christina Leslie
Genome Biology 2010, 11:R90 http://genomebiology.com/2010/11/8/R90

microRNAs are a class of small regulatory RNAs that are involved in post-transcriptional gene silencing. These small (approximately 22 nucleotide) single-strand RNAs guide a gene silencing complex to an mRNA by complementary base pairing, mostly at the 3′ untranslated region (3′ UTR). The association of the RNAinduced silencing complex (RISC) to the conjugate mRNA results in silencing the gene either by translational repression or by degradation of the mRNA. Reliable microRNA target prediction is an important and still unsolved computational challenge, hampered both by insufficient knowledge of microRNA biology as well as the limited number of experimentally validated targets.

mirSVR is a new machine learning method for ranking microRNA target sites by a down-regulation score. The algorithm trains a regression model on sequence and contextual features extracted from miRanda-predicted target sites. In a large-scale evaluation, miRanda-mirSVR is competitive with other target prediction methods in identifying target genes and predicting the extent of their downregulation at the mRNA or protein levels. Importantly, the method identifies a significant number of experimentally determined non-canonical and non-conserved sites.
Human RISC – MicroRNA Biogenesis and Posttranscriptional Gene Silencing
Cell 2005; 123:631-640
http://dx.doi.org:/10.1016/j.cell.2005.10.022
Development of microRNA therapeutics
Eva van Rooij & Sakari Kauppinen
EMBO Mol Med (2014) 6: 851–864
http://dx.doi.org:/10.15252/emmm.20110089

MicroRNAs (miRNAs) play key regulatory roles in diverse biological processes and are frequently dysregulated in human diseases. Thus, miRNAs have emerged as a class of promising targets for therapeutic intervention. Here, we describe the current strategies for therapeutic modulation of miRNAs and provide an update on the development of miRNA-based therapeutics for the treatment of cancer, cardiovascular disease and hepatitis C virus (HCV) infection.

Figure 1. miRNA biogenesis and modulation of miRNA activity by miRNA mimics and antimiR oligonucleotides. MiRNA genes are transcribed by RNA polymerase II from intergenic, intronic or polycistronic loci to long primary miRNA transcripts (pri-miRNAs) and processed in the nucleus by the Drosha–DGCR8 complex to approximately 70 nt pre-miRNA hairpin structures. The most common alternative miRNA biogenesis pathway involves short intronic hairpins, termed mirtrons, that are spliced and debranched to form pre-miRNA hairpins. Pre-miRNAs are exported into the cytoplasm and then cleaved by the Dicer–TRBP complex to imperfect miRNA: miRNA* duplexes about 22 nucleotides in length. In the cytoplasm, miRNA duplexes are incorporated into Argonaute-containing miRNA induced silencing complex (miRISC), followed by unwinding of the duplex and retention of the mature miRNA strand in miRISC, while the complementary strand is released and degraded. The mature miRNA functions as a guide molecule for miRISC by directing it to partially complementary sites in the target mRNAs, resulting in translational repression and/or mRNA degradation. Currently, two strategies are employed to modulate miRNA activity: restoring the function of a miRNA using double-stranded miRNA mimics, and inhibition of miRNA function using single-stranded anti-miR oligonucleotides.

Figure 2. Design of chemically modified miRNA modulators. (A) Structures of chemical modifications used in miRNA modulators. A number of different sugar modifications are used to increase the duplex melting temperature (Tm) of anti-miR oligonucleotides. The20-O-methyl(20-O-Me), 20-O-methoxyethyl(20-MOE )and 20-fluoro(20-F) nucleotides are modified at the 20 position of the sugar moiety, whereas locked nucleic acid (LNA) is a bicyclic RNA analogue in which the ribose is locked in a C30-endo conformation by introduction of a 20-O,40-C methylene bridge. To increase nuclease resistance and enhance the pharmacokinetic properties, most anti-miR oligonucleotides harbor phosphorothioate (PS) backbone linkages, in which sulfur replaces one of the non-bridging oxygen atoms in the phosphate group. In morpholino oligomers, a six-membered morpholine ring replaces the sugar moiety. Morpholinos are uncharged and exhibit a slight increase in binding affinity to their cognate miRNAs. PNA oligomers are uncharged oligonucleotide analogues, in which the sugar–phosphate backbone has been replaced by a peptide-like backbone consisting of N-(2-aminoethyl)-glycine units. (B) An example of a synthetic double-stranded miRNA mimic described in this review. One way to therapeutically mimic a miRNA is by using synthetic RNA duplexes that harbor chemical modifications for improved stability and cellular uptake. In such constructs, the antisense (guide) strand is identical to the miRNA of interest, while the sense (passenger) strand is modified and can be linked to a molecule, such as cholesterol, for enhanced cellular uptake. The sense strand contains chemical modifications to prevent mi-RISC loading. Several mismatches can be introduced to prevent this strand from functioning as an anti-miR, while it is further left unmodified to ensure rapid degradation.The20-F modification helps to protect the antisense strand against exonucleases, hence making the guide strand more stable, while it does not interfere with mi-RISC loading. (C) Design of chemically modified anti-miR oligonucleotides described in this review. Antagomirs are30 cholesterol-conjugated,20-O-Me oligonucleotides fully complementary to the mature miRNA sequence with several PS moieties to increase their in vivo stability. The use of unconjugated 20-F/MOE-, 20-MOE- or LNA-modified anti-miR oligonucleotides harboring a complete PS backbone represents another approach for inhibition of miRNA function in vivo. The high duplex melting temperature of LNA-modified oligonucleotides allows efficient miRNA inhibition using truncated, high-affinity 15–16-nucleotide LNA/DNA anti-miR oligonucleotides targeting the 50 region of the mature miRNA. Furthermore, the high binding affinity of fully LNA-modified 8-mer PS oligonucleotides, designated as tiny LNAs, facilitates simultaneous inhibition of entire miRNA seed families by targeting the shared seed sequence.

Human MicroRNA Targets
Bino John, Anton J. Enright, Alexei Aravin, Thomas Tuschl,.., Debora S. Mark
PLoS Biol 2004; 2(11): e363  http://www.plosbiology.org

More than ten years after the discovery of the first miRNA gene, lin-4 (Chalfie et al. 1981; Lee et al. 1993), we know that miRNA genes constitute about 1%–2% of the known genes in eukaryotes. Investigation of miRNA expression combined with genetic and molecular studies in Caenorhabditis elegans, Drosophila melanogaster, and Arabidopsis thaliana have identified the biological functions of several miRNAs (recent review, Bartel 2004). In C. elegans, lin-4 and let-7 were first discovered as key regulators of developmental timing in early larval developmental transitions (Ambros 2000; Abrahante et al. 2003; Lin et al. 2003; Vella et al. 2004). More recently lsy-6 was shown to determine the left–right asymmetry of chemoreceptor expression (Johnston and Hobert 2003). In D. melanogaster, miR-14 has a role in apoptosis and fat metabolism (Xu et al. 2003) and the bantam miRNA targets the gene hid involved in apoptosis and growth control (Brennecke et al. 2003).

MicroRNAs (miRNAs) interact with target mRNAs at specific sites to induce cleavage of the message or inhibit translation. The specific function of most mammalian miRNAs is unknown. We have predicted target sites on the 39 untranslated regions of human gene transcripts for all currently known 218 mammalian miRNAs to facilitate focused experiments. We report about 2,000 human genes with miRNA target sites conserved in mammals and about 250 human genes conserved as targets between mammals and fish. The prediction algorithm optimizes sequence complementarity using position-specific rules and relies on strict requirements of interspecies conservation. Experimental support for the validity of the method comes from known targets and from strong enrichment of predicted targets in mRNAs associated with the fragile X mental retardation protein in mammals. This is consistent with the hypothesis that miRNAs act as sequence-specific adaptors in the interaction of ribonuclear particles with translationally regulated messages. Overrepresented groups of targets include mRNAs coding for transcription factors, components of the miRNA machinery, and other proteins involved in translational regulation, as well as components of the ubiquitin machinery, representing novel feedback loops in gene regulation. Detailed information about target genes, target processes, and open-source software for target prediction (miRanda) is available at http://www.microrna.org. Our analysis suggests that miRNA genes, which are about 1% of all human genes, regulate protein production for 10% or more of all human genes.

Figure 1. Target Prediction Pipeline for miRNA Targets in Vertebrates The mammalian (human, mouse, and rat) and fish (zebra and fugu) 39 UTRs were first scanned for miRNA target sites using position specific rules of sequence complementarity. Next, aligned UTRs of orthologous genes were used to check for conservation of miRNA– target relationships (‘‘target conservation’’) between mammalian genomes and, separately, between fish genomes. The main results (bottom) are the conserved mammalian and conserved fish targets, for each miRNA,as well as a smaller set of super-conserved vertebrate targets.   http://dx.doi.org:/10.1371/journal.pbio.0020363.g00
Figure 2. Distribution of Transcripts with Cooperativity of Target Sites and Estimated Number of False Positives Each bar reflects the number of human transcripts with a given number of target sites on their UTR. Estimated rate of false positives(e.g., 39%for2 targets) is given by the number of target sites predicted using shuffled miRNAs processed in a way identical to real miRNAs, including the use of interspecies conservation filter. http://dx.doi.org:/10.1371/journal.pbio.0020363.g002

Conserved Seed Pairing, Often improved an-Flanked by Adenosines, Indicates Thousands of Human Genes are MicroRNA Targets
Cell, Jan 2005; 120: 15–20
http://dx.doi.org:/10.1016/j.cell.2004.12.035

Integrated analysis of microRNA and mRNA expression. adding biological significance to microRNA target predictions.
Maarten van Iterson, Sander Bervoets, Emile J. de Meijer, et al.
Nucleic Acids Research, 2013; 41(15), e146
http://dx.doi.org:/10.1093/nar/gkt525

Current microRNA target predictions are based on sequence information and empirically derived rules but do not make use of the expression of microRNAs and their targets. This study aimed to improve microRNA target predictions in a given biological context, using in silico predictions, microRNA and mRNA expression. We used target prediction tools to produce lists of predicted targets and used a gene set test designed to detect consistent effects of microRNAs on the joint expression of multiple targets. In a single test, association between microRNA expression and target gene set expression as well as the contribution of the individual target genes on the association are determined. The strongest negatively associated mRNAs as measured by the test were prioritized. We applied our integration method to a well-defined muscle differentiation model. Validation of our predictions in C2C12 cells confirmed predicted targets of known as well as novel muscle-related microRNAs. We further studied associations between microRNA–mRNA pairs in human prostate cancer, finding some pairs that have been recently experimentally validated by others. Using the same study, we showed the advantages of the global test over Pearson correlation and lasso. We conclude that our integrated approach successfully identifies regulated microRNAs and their targets.

Long non-coding RNA and microRNAs might act in regulating the expression of BARD1 mRNAs
Int J Biol & Cell Biol 2014; 54:356-367
http://dx.doi.org/10.1016/j.biocel.2014.06.018

 

Passenger-Strand Cleavage Facilitates Assembly of siRNA into Ago2-Containing RNAi Enzyme Complexes
Cell 2006; 123:607-620
http://dx.doi.org:/10.1016/j.cell.2006.08.044

 

RNAi- RISC Gets Loaded
Cell 2005; 123:543-553
http://dx.doi.org:/10.1016/j.cell.2005.11.006
RNAi- The Nuts and Bolts of the RISC Machine
Cell 2005; 122:17-20
http://dx.doi.org:/10.1016/j.cell.2005.06.023
Structural domains in RNAi
FEBS Letters 579 (2005) 5841–5849
http://dx.doi.org:/10.1016/j.febslet.2005.07.072

Fig. 1. A ‘‘Domain-centric’’ view of RNAi. (A) The conserved pathways of RNA silencing. The domain structure of each protein in (hypothetical) interaction with its RNA is shown. For clarity, the second column lists domains in order N- to C-terminal. Figures are not to scale. In brief, Drosha, an RNase III enzyme, and its obligate binding partner, Pasha recognize pri-mRNA loops, and cut these into 70 nt hairpin pre-miRNAs. Dicer utilizes a PAZ domain to sense the 30 2-nt overhang created, and further processes these, and dsRNAs into miRNAs and siRNAs. Argonaute binds the 50 end of guide RNAs via its PIWI domain, and the 30 end via a PAZ domain, yielding RISCs that effect RNA silencing through several mechanisms. A Viral protein, VP19 can suppress RNA silencing by sequestering siRNAs. (B) A summary of known siRNA structural biology. Listed by domain are solved structures, their protein/organism of origin, and ligands, where applicable. Also shown are PDB codes.

Fig. 2. Novel modes of RNA recognition. (A) A typical dsRBD: Xenopus binding protein A (1DI2). A RNA helix is modeled pink, and the protein is rendered in transparent electrostatic contours (blue is basic, red acidic). Note the interaction of helices along the major groove, and the position of helix 1. A second dsRBD protein is visible, in the lower right. (B) A dsRBD, Saccharomyces Rnt1P (1T4L), recognizes hairpin loops. A novel third helix (top) pushes helix one into the loop of a hairpin RNA. (C) 30-OH recognition by PAZ. Human Eif2c1 (1SI3) bound to RNA (pink) is shown. PAZ is green, with transparent electrostatic surface plot. The OB-fold (nucleotide binding fold) and the insertion domain are labeled. Note the glove-and-thumb like cleft they form, that the 30-OH is inserted into. A basic groove (blue) the RNA binds along outside the cleft is visible. (D) A close-up view of PAZ, as in C (surface not-transparent, slightly rotated). See white arrows for orientation, and location of 30-OH binding site. RNA is shown red in sticks. The terminal –OH is barely visible, buried in a cleft. It and the carbon it bonds have been colored yellow for clarity. (E) The PIWI domain (2BGG). Note the insertion of the 50P red (labeled) into the binding site. Its complimentary strand (pink) is not annealed to it, and the 30 overhang and first complimentary bases sit on the protein surface. (F) An enlarged view of (E), with protein in slate and RNA modeled as red sticks. The coordinated magnesium is a grey sphere, which is coordinated by the terminal carboxylate of the protein, protein side chains, and RNA phosphate oxygens. The 50 base stacks against a conserved Tyr. Several other sidechain contacts are shown.

Fig. 3. Argonaute/RISC. (A) P. furiosus Argonaute (PDB 1Z26). A color-guided key to the domains is presented. PAZ sits over the PIWI/N/MID bowl and active site. The liganding atoms for the catalytic metal are depicted as yellow balls for clarity. The tungstate binding site (50P surrogate) is shown as tan spheres. (B) A guide strand channel. Looking down from the PAZ domain towards the active site, Z-sections are clipped off. Colors of domains are as in the key in (A). Wrapping down along a basic cleft from the PAZ 30OH binding site (approximate position labeled), a RNA binding groove passes the active site (yellow), and runs down to the 50P binding site (tan balls). A second cleft running perpendicular to this one at its entry may accommodate target strand RNA. For more detail, and models of siRNA placed into the grooves, see [27,29].

Fig. 4. VP19 sequestration of siRNA. (A) CIRV VP19 (1RPU, RNA removed). Two monomers (blue and cyan) form an 8 strand, concave b-sheet with bracketing helices at the ends. (B) Tombus viral VP19 bound to siRNA (1 monomer shown). RNA strands are modeled as sticks, with one strand pink and one red. The bracketing helix places two tryptophans in position to stack over the terminal RNA bases. On the b-sheet surface, and Arg and a Lys interact with the phosphate backbone, and at the center of the RNA binding surface, a number of Ser and Thr mediate an extensive hydrogen bond network. Both the Trp brackets and RNA binding by an extended b-sheet are unique.

 

Small RNA asymmetry in RNAi- Function in RISC assembly and gene regulation
FEBS Letters 579 (2005) 5850–5857
http://dx.doi.org:/10.1016/j.febslet.2005.08.071

 

The role of the oncofetal IGF2 mRNA-binding protein 3 (IGF2BP3) in cancer
Seminars in Cancer Biol 2014; 29:3-12
http://dx.doi.org/10.1016/j.semcancer.2014.07.006

Table 1 – Target mRNAs of IGF2BP3.

Target cis-Element Regulation
CD44 3’ -utr Control of mRNA stability
IGF2 5’ -utr Translational control
H19 ncRNA Unknown
ACTB 3’ -utr Unknown
MYC CRD Unknown
CD164 Unknown Control of mRNA stability
MMP9 Unknown Control of mRNA stability
ABCG2 Unknown Unknown
PDPN 3’ -utr Control of mRNA stability
HMGA2 3’ -utr Protection from miR directed degradation
CCND1 3’ -utr translational control
CCND3 3’ -utr translational control
CCNG1 3’ -utr translationalcontrol

 

Targeting glucose uptake with siRNA-based nanomedicine for cancer therapy
Biomaterials 2015; 51:1-11
http://dx.doi.org/10.1016/j.biomaterials.2015.01.068
The therapeutic potential of RNA interference
FEBS Letters 579 (2005) 5996–6007
http://dx.doi.og:/10.1016/j.febslet.2005.08.004

Table 1 Companies developing RNAi therapeutics that includes cancer

Company name Primary areas of interest
Atugen AG Metabolic disease; cancer ocular disease; skin disease
Benitec Australia Limited Hepatitis C virus; HIV/AIDS; cancer; diabetes/obesity
Calando Pharmaceuticals Nanoparticle technology
Genta Incorporated Cancer
Intradigm Corporation Cancer; SARS; arthritis
Sirna Therapeutics, Inc. AMD; Hepatitis C virus; asthma; diabetes; cancer; Huntington s disease; hearing loss

 

The Noncoding RNA Revolution—Trashing Old Rules to Forge New Ones
Cell 2014; 157:77-94
http://dx.doi.org/10.1016/j.cell.2014.03.008

Figure 1. Noncoding RNAs Function in Diverse Contexts Noncoding RNAs function in all domains of life, regulating gene expression from transcription to splicing to translation and contributing to genome organization and stability. Self-splicing RNAs, ribosomes, and riboswitches function in both eukaryotes and bacteria. Archaea (not shown) also utilize ncRNA systems including ribosomes, riboswitches, snoRNPs, and CRISPR. Orange strands, ncRNA performing the action indicated; red strands, the RNA acted upon by the ncRNA. Blue strands, DNA. Triangle, small-molecule metabolite bound by a riboswitch. Ovals indicate protein components of an RNP, such as the spliceosome (white oval), ribosome (two purple subunits), or other RNPs (yellow ovals). Because of the importance of RNA structure in these ncRNAs, some structures are shown but they are not meant to be realistic.

 

miRNAs and cancer targeting

Table 1 of targets

miRNA Cancer type reference
NA GI cancer Current status of miRNA-targeting therapeutics and preclinical studies against gastroenterological carcinoma
NA Renal cell Differential expression profiling of microRNAs and their potential involvement in renal cell carcinoma pathogenesis
NA urothelial
cancer
A microRNA expression ratio defining the invasive phenotype in bladder tumors
miR-31 breast A Pleiotropically Acting MicroRNA, miR-31, inhibits breast cancer growth
miR-512-3p NSCLC Inhibition of RAC1-GEF DOCK3 by miR-512-3p contributes to suppression of metastasis in non-small cell lung cancer
miR-495 gastric Methylation-associated silencing of miR-495 inhibit the migration and invasion of human gastric cancer cells
microRNA-218 prostate microRNA-218 inhibits prostate cancer cell growth and promotes apoptosis by repressing TPD52 expression
MicroRNA-373 cervical cancer MicroRNA-373 functions as an oncogene and targets YOD1 gene in cervical cancer
miR-25 NSCLC miR-25 modulates NSCLC cell radio-sensitivity – inhibiting BTG2 expression
miR-92a cervical cancer miR-92a. upregulated in cervical cancer & promotes cell proliferation and invasion by targeting FBXW7
MiR-153 NSCLC MiR-153 inhibits migration and invasion of human non-small-cell lung cancer by targeting ADAM19
miR-203 melanoma miR-203 inhibits melanoma invasive and proliferative abilities by targeting the polycomb group gene BMI1
miR-204-5p Papillary thyroid miR-204-5p suppresses cell proliferation by inhibiting IGFBP5 in papillary thyroid carcinoma
miR-342-3p Hepato-cellular miR-342-3p affects hepatocellular carcinoma cell proliferation via regulating NF-κB pathway
miR-1271 NSCLC miR-1271 promotes non-small-cell lung cancer cell proliferation and invasion via targeting HOXA5
miR-203 pancreas Pancreatic cancer derived exosomes regulate the expression of TLR4 in dendritic cells via miR-203
miR-203 metastatic SCC Rewiring of an Epithelial Differentiation Factor, miR-203, to Inhibit Human SCC Metastasis
miR-204 RCC TRPM3 and miR-204 Establish a Regulatory Circuit that Controls Oncogenic Autophagy in Clear Cell Renal Cell Carcinoma
NA urologic MicroRNAs and cancer. Current and future perspectives in urologic oncology
NA RCC MicroRNAs and their target gene networks in renal cell carcinoma
NA osteoSA MicroRNAs in osteosarcoma
NA urologic MicroRNA in Prostate, Bladder, and Kidney Cancer
NA urologic Micro-RNA profiling in kidney and bladder cancers

 

Current status of miRNA-targeting therapeutics and preclinical studies against gastroenterological carcinoma
Shibata et al. Molecular and Cellular Therapies 2013, 1:5 http://www.molcelltherapies.com/content/1/1/5

Differential expression profiling of microRNAs and their potential involvement in renal cell carcinoma pathogenesis
Clinical Biochemistry 43 (2010) 150–158
http://dx.doi.org:/10.1016/j.clinbiochem.2009.07.020

A microRNA expression ratio defining the invasive phenotype in bladder tumors
Urologic Oncology: Seminars and Original Investigations 28 (2010) 39–48
http://dx.doi.org:/10.1016/j.urolonc.2008.06.006

A Pleiotropically Acting MicroRNA, miR-31, inhibits breast cancer growth
Cell 137, 1032–1046, June 12, 2009
http://dx.doi.org:/10.1016/j.cell.2009.03.047

Inhibition of RAC1-GEF DOCK3 by miR-512-3p contributes to suppression of metastasis in non-small cell lung cancer
Intl JBiochem & Cell Biol 2015; 61:103-114
http://dx.doi.org/10.1016/j.biocel.2015.02.005

Methylation-associated silencing of miR-495 inhibit the migration and invasion of human gastric cancer cells by directly targeting PRL-3
Biochem Biochem Res Commun 2014; 456:344-350
http://dx.doi.org/10.1016/j.bbrc.2014.11.083

microRNA-218 inhibits prostate cancer cell growth and promotes apoptosis by repressing TPD52 expression
Biochem Biophys Res Commun 2015; 456:804-809
http://dx.doi.org/10.1016/j.bbrc.2014.12.026

MicroRNA-373 functions as an oncogene and targets YOD1 gene in cervical cancer
BBRC 2015; xx:1-6
http://dx.doi.org/10.1016/j.bbrc.2015.02.138

miR-25 modulates NSCLC cell radio-sensitivity – inhibiting BTG2 expression
BBRC 2015; 457:235-241
http://dx.doi.org/10.1016/j.bbrc.2014.12.094

miR-92a. upregulated in cervical cancer & promotes cell proliferation and invasion by targeting FBXW7
BBRC 2015; 458:63-69
http://dx.doi.org/10.1016/j.bbrc.2015.01.066

MiR-153 inhibits migration and invasion of human non-small-cell lung cancer by targeting ADAM19
BBRC 2015; 456:381-385
http://dx.doi.org/10.1016/j.bbrc.2014.11.093

miR-203 inhibits melanoma invasive and proliferative abilities by targeting the polycomb group gene BMI1
BBMC 2015; 456: 361-366
http://dx.doi.org/10.1016/j.bbrc.2014.11.087

miR-204-5p suppresses cell proliferation by inhibiting IGFBP5 in papillary thyroid carcinoma
BBRC 2015; 457:621-627
http://dx.doi.org/10.1016/j.bbrc.2015.01.037

miR-342-3p affects hepatocellular carcinoma cell proliferation via regulating NF-κB pathway
BBRC 2015; 457:370-377
http://dx.doi.org/10.1016/j.bbrc.2014.12.119

miR-1271 promotes non-small-cell lung cancer cell proliferation and invasion via targeting HOXA5
BBRC 2015; 458:714-719
http://dx.doi.org/10.1016/j.bbrc.2015.02.033

Pancreatic cancer derived exosomes regulate the expression of TLR4 in dendritic cells via miR-203
Cell Immunol 2014; 292:65-69
http://dx.doi.org/10.1016/j.cellimm.2014.09.004

Rewiring of an Epithelial Differentiation Factor, miR-203, to Inhibit Human Squamous Cell Carcinoma Metastasis
Cell Reports 2014; 9:104-117
http://dx.doi.org/10.1016/j.celrep.2014.08.062

TRPM3 and miR-204 Establish a Regulatory Circuit that Controls Oncogenic Autophagy in Clear Cell Renal Cell Carcinoma
Cancer Cell Nov 10, 2014; 26: 738–753
http://dx.doi.org/10.1016/j.ccell.2014.09.015

MicroRNA in Prostate, Bladder, and Kidney Cancer
Eur Urol 2011; 59:671-681
http://dx.doi.org/10.1016/j.eururo.2011.01.044

Micro-RNA profiling in kidney and bladder cancers
Urologic Oncology: Seminars and Original Investigations 2007; 25:387–392
http://dx.doi.org:/10.1016/j.urolonc.2007.01.019

MicroRNAs and cancer. Current and future perspectives in urologic oncology
Urologic Oncology: Seminars and Original Investigations 2010; 28:4–13
http://dx.doi.org:/10.1016/j.urolonc.2008.10.021

MicroRNAs and their target gene networks in renal cell carcinoma
BBRC 2011; 405:153-156
http://dx.doi.org/10.1016/j.bbrc.2011.01.019

MicroRNAs in osteosarcoma
Clin Chim Acta 2015; 444:9-17
http://dx.doi.org/10.1016/j.cca.2015.01.025

 

Table 2. miRNA cancer therapeutics

 

 

  • miRNA and mRNA cancer signatures determined by analysis of expression levels in large cohorts of patients
    | PNAS | Nov 19, 2013; 110(47): 19160–19165
    http://www.pnas.org/cgi/doi/10.1073/pnas.1316991110The study of mRNA and microRNA (miRNA) expression profiles of cells and tissue has become a major tool for therapeutic development. The results of such experiments are expected to change the methods used in the diagnosis and prognosis of disease. We introduce surprisal analysis, an information-theoretic approach grounded in thermodynamics, to compactly transform the information acquired from microarray studies into applicable knowledge about the cancer phenotypic state. The analysis of mRNA and miRNA expression data from ovarian serous carcinoma, prostate adenocarcinoma, breast invasive carcinoma, and lung adenocarcinoma cancer patients and organ specific control patients identifies cancer-specific signatures. We experimentally examine these signatures and their respective networks as possible therapeutic targets for cancer in single cell experiments.

 

 

RNA editing is vital to provide the RNA and protein complexity to regulate the gene expression. Correct RNA editing maintains the cell function and organism development. Imbalance of the RNA editing machinery may lead to diseases and cancers. Recently,RNA editing has been recognized as a target for drug discovery although few studies targeting RNA editing for disease and cancer therapy were reported in the field of natural products. Therefore, RNA  editing may be a potential target for therapeutic natural products

 

Aberrant microRNA (miRNA) expression is implicated in tumorigenesis. The underlying mechanisms are unclear because the regulations of each miRNA on potentially hundreds of mRNAs are sample specific.

 

We describe a novel approach to infer Probabilistic Mi RNA–mRNA  Interaction Signature (‘ProMISe’) from a single pair of miRNA–mRNA expression profile. Our model considers mRNA and miRNA competition as a probabilistic function of the expressed seeds (matches). To demonstrate ProMISe, we extensively exploited The Cancer Genome Atlas data. As a target predictor, ProMISe identifies more confidence/validated targets than other methods. Importantly, ProMISe confers higher cancer diagnostic power than using expression profiles alone.

Gene set enrichment analysis on averaged ProMISe uniquely revealed respective target enrichments of oncomirs miR-21 and 145 in glioblastoma and ovarian cancers. Moreover, comparing matched breast (BRCA) and thyroid (THCA) tumor/normal samples uncovered thousands of tumor-related interactions. For example, ProMISe– BRCA network involves miR-155/183/21, which exhibits higher ProMISe coupled with coherently higher miRNA expression and lower target expression; oncomirs miR-221/222 in the ProMISe–THCA network engage with many downregulated target genes. Together, our probabilistic approach of integrating expression and sequence scores establishes a functional link between the aberrant miRNA and mRNA expression, which was previously under-appreciated due to the methodological differences.

 

 

 

 

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