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Archive for the ‘Biological Networks, Gene Regulation and Evolution’ Category

2013 Genomics: The Era Beyond the Sequencing of the Human Genome: Francis Collins, Craig Venter, Eric Lander, et al.

Curator: Aviva Lev-Ari, PhD, RN This image has an empty alt attribute; its file name is ArticleID-23.png

Reporter and Curator: Dr. Sudipta Saha, Ph.D.

Congenital hyperinsulinism is a medical term referring to a variety of congenital disorders in which hypoglycemia is caused by excessive insulin secretion. Congenital forms of hyperinsulinemic hypoglycemia can be transient or persistent, mild or severe. These conditions are present at birth and most become apparent in early infancy. The severe forms can cause obvious problems in the first hour of life, but milder forms may not be detected until adult years. Mild cases can be treated by frequent feedings, more severe cases can be controlled by medications that reduce insulin secretion or effects, and a minority of the most severe cases require surgical removal of part or most of the pancreas to protect the brain from damage due to recurrent hypoglycemia.

Types of congenital hyperinsulinism:

1. Transient neonatal hyperinsulinism

2. Focal hyperinsulinism

  • Paternal SUR1 mutation with clonal loss of heterozygosity of 11p15
  • Paternal Kir6.2 mutation with clonal loss of heterozygosity of 11p15

3. Diffuse hyperinsulinism

a. Autosomal recessive forms

  • i. SUR1 mutations
  • ii. Kir6.2 mutations
  • iii. Congenital disorders of glycosylation

b. Autosomal dominant forms

4. Beckwith-Wiedemann syndrome (thought to be due to hyperinsulinism but pathophysiology still uncertain: 11p15 mutation or IGF2 excess)

Congenital hyperinsulinism (CHI or HI) is a condition leading to recurrent hypoglycemia due to an inappropriate insulin secretion by the pancreatic islet beta cells. HI has two main characteristics:

  • a high glucose requirement to correct hypoglycemia and
  • a responsiveness of hypoglycemia to exogenous glucagon.

HI is usually isolated but may be rarely part of a genetic syndrome (e.g. Beckwith-Wiedemann syndrome, Sotos syndrome etc.). The severity of HI is evaluated by the glucose administration rate required to maintain normal glycemia and the responsiveness to medical treatment. Neonatal onset HI is usually severe while late onset and syndromic HI are generally responsive to a medical treatment. Glycemia must be maintained within normal ranges to avoid brain damages, initially, with glucose administration and glucagon infusion then, once the diagnosis is set, with specific HI treatment. Oral diazoxide is a first line treatment.

In case of unresponsiveness to this treatment, somatostatin analogues and calcium antagonists may be added, and further investigations are required for the putative histological diagnosis:

  • pancreatic (18)F-fluoro-L-DOPA PET-CT and
  • molecular analysis.

Indeed, focal forms consist of a focal adenomatous hyperplasia of islet cells, and will be cured after a partial pancreatectomy.

Diffuse HI involves all the pancreatic beta cells of the whole pancreas. Diffuse HI resistant to medical treatment (octreotide, diazoxide, calcium antagonists and continuous feeding) may require subtotal pancreatectomy which post-operative outcome is unpredictable.

The genetics of focal islet-cells hyperplasia associates

  • a paternally inherited mutation of the ABCC8 or
  • the KCNJ11 genes, with
  • a loss of the maternal allele specifically in the hyperplasic islet cells.

The genetics of diffuse isolated HI is heterogeneous and may be

  • recessively inherited (ABCC8 and KCNJ11) or
  • dominantly inherited (ABCC8, KCNJ11, GCK, GLUD1, SLC16A1, HNF4A and HADH).

Syndromic HI are always diffuse form and the genetics depend on the syndrome. Except for HI due to

  • potassium channel defect (ABCC8 and KCNJ11),

most of these HI are sensitive to diazoxide.

The main points sum up the management of HI:

  • i) prevention of brain damages by normalizing glycemia and
  • ii) screening for focal HI as they may be definitively cured after a limited pancreatectomy.

Source & References:

http://en.wikipedia.org/wiki/Congenital_hyperinsulinism

http://www.ncbi.nlm.nih.gov/pubmed/20550977

 

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Rewriting the Mathematics of Tumor Growth[1]; Teams Use Math Models to Sort Drivers from Passengers[2]:  Two JNCI Reviews by Mike Martin Regarding Genomics, Cancer, and Mutation

Curator: Stephen J. Williams, Ph.D.

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Recently, there has been extensive interest in the cancer research and oncology community on detecting those mutations responsible for the initiation and propagation of a neoplastic cell (driver mutations) versus those mutations that are randomly (or by selective pressures) acquired due to the genetic instability of the transformed cell.  The impact of either type of mutation has been a topic for debate, with a recent article showing that some passenger mutations may actually be responsible for tumor survival.  In addition many articles, highlighted on this site (and referenced below) in recent years have described the importance of classifying driver and passenger mutations for the purposes of more effective personalized medicine strategies directed against tumors. Two review articles by Mike Martin in the Journal of the National Cancer Institute (JCNI) shed light on the current efforts and successes to discriminate between these passenger and driver mutations and determine impact of each type of mutation to tumor growth.  However, as described in the associated article, the picture is not as clear cut as previously thought and highlights some revolutionary findings. In Rewriting the Mathematics of Tumor Growth, researchers discovered that driver mutations may confer such a small growth advantage that, multiple mutations, including the so called passenger mutations are necessary in order to sustain tumor growth. In fact, much experimental evidence has suggested at least six defined genetic events may be necessary for the in-vitro transformation of human cells.  The following table shows some of the genetic events required for in-vitro transformation in cell culture systems.

Genetic events required for transformation

 Species  Cell type  # of genes required for tumor formation*  Genes used  Reference Events required for priming
Human FibroblastsEmbryonic kidney 3 hTERTH-rasLarge T (a)Hahn(Weinberg) 2LT+hTERT
Mammary epithelialMyoblastsEmbryonic kidney 6 hTERTH-rasP53DDc-myccyclin D1CDK4 (b)Kendall(Counter) Hras required for tumorigenesis so probably 5 events needed
Fibroblasts 4 Large TSmall TH-rashTERT (c)Sun(Hornsby) 2Large T + H-ras
Fibroblasts 4 Large TSmall ThTERTRas (d)Rangarajan(Weinberg) 3hTERT, Ras and either small or largeT
Keratinocytes 4 CyclinD1dnp53EGFR

c-myc

(e)Goessel(Opitz) 3 for anchorage independence (cyclin D1, dnp53, EGFR),Cyclin D1+dnp53 for immortalization
HOSE 6 CDK4, cyclin D, hTERT plus combination of either P53DD, myrAkt, and H-ras or P53DD, H-ras, c-myc Bcl2 (f)Sasaki(Kiyono) 5
HOSE 3 hTERTSV40 earlyH-ras orK-ras (g)Liu(Bast) 2hTERT+ SV40 early
HOSE 3 Large ThTERTH-ras orc-erB-2 (h)Kusakari(Fujii) 2hTERT+large T
Rat Fibroblasts 2 Large TH-ras (i)Hirakawa Did not analyze
Fibroblasts 2 Large TH-ras (d)Rangarajan(Weinberg) Large T
Mouse MOSEIn p53-/- background 3 c-mycK-rasAkt (j)Orsulic
Pig Fibroblasts 6 p53DDhTERTCDK4H-ras c-myccyclin D1 (k)Adam(Counter) 5 need all butp53DD

Note: priming means events required to immortalize but not fully transform.  * Note that both ability to form colonies in soft agarose and subsequently tested for tumor formation in immunocompromised mice.

a.         Hahn, W. C., Counter, C. M., Lundberg, A. S., Beijersbergen, R. L., Brooks, M. W., and Weinberg, R. A. (1999) Creation of human tumour cells with defined genetic elements, Nature 400, 464-468.

b.         Kendall, S. D., Linardic, C. M., Adam, S. J., and Counter, C. M. (2005) A network of genetic events sufficient to convert normal human cells to a tumorigenic state, Cancer Res 65, 9824-9828.

c.         Sun, B., Chen, M., Hawks, C. L., Pereira-Smith, O. M., and Hornsby, P. J. (2005) The minimal set of genetic alterations required for conversion of primary human fibroblasts to cancer cells in the subrenal capsule assay, Neoplasia 7, 585-593.

d.         Rangarajan, A., Hong, S. J., Gifford, A., and Weinberg, R. A. (2004) Species- and cell type-specific requirements for cellular transformation, Cancer Cell 6, 171-183.

e.         Goessel, G., Quante, M., Hahn, W. C., Harada, H., Heeg, S., Suliman, Y., Doebele, M., von Werder, A., Fulda, C., Nakagawa, H., Rustgi, A. K., Blum, H. E., and Opitz, O. G. (2005) Creating oral squamous cancer cells: a cellular model of oral-esophageal carcinogenesis, Proc Natl Acad Sci U S A 102, 15599-15604.

f.          Sasaki, R., Narisawa-Saito, M., Yugawa, T., Fujita, M., Tashiro, H., Katabuchi, H., and Kiyono, T. (2009) Oncogenic transformation of human ovarian surface epithelial cells with defined cellular oncogenes, Carcinogenesis 30, 423-431.

g.         Liu, J., Yang, G., Thompson-Lanza, J. A., Glassman, A., Hayes, K., Patterson, A., Marquez, R. T., Auersperg, N., Yu, Y., Hahn, W. C., Mills, G. B., and Bast, R. C., Jr. (2004) A genetically defined model for human ovarian cancer, Cancer Res 64, 1655-1663.

h.         Kusakari, T., Kariya, M., Mandai, M., Tsuruta, Y., Hamid, A. A., Fukuhara, K., Nanbu, K., Takakura, K., and Fujii, S. (2003) C-erbB-2 or mutant Ha-ras induced malignant transformation of immortalized human ovarian surface epithelial cells in vitro, Br J Cancer 89, 2293-2298.

i.          Hirakawa, T., and Ruley, H. E. (1988) Rescue of cells from ras oncogene-induced growth arrest by a second, complementing, oncogene, Proc Natl Acad Sci U S A 85, 1519-1523.

j.          Orsulic, S., Li, Y., Soslow, R. A., Vitale-Cross, L. A., Gutkind, J. S., and Varmus, H. E. (2002) Induction of ovarian cancer by defined multiple genetic changes in a mouse model system, Cancer Cell 1, 53-62.

k.         Adam, S. J., Rund, L. A., Kuzmuk, K. N., Zachary, J. F., Schook, L. B., and Counter, C. M. (2007) Genetic induction of tumorigenesis in swine, Oncogene 26, 1038-1045.

However it may be argued that the aforementioned experimental examples were produced in cell lines with a more stable genome than that which is seen in most tumors and had used traditional assays of transformation, such as growth in soft agarose and tumorigenicity in immunocompromised mice, as endpoints of transformation, and not representative of the tumor growth seen in the clinical setting.

Therefore Bert Vogelstein, M.D., along with collaborators around the world developed a model they termed the “sequential driver mutation theory”, in which they describe that driver mutations multiply over time with each mutation “slightly increasing the tumor growth rate through a process that depends on three factors”:

  1. Driver mutation rate
  2. The 0.4% selective growth advantage
  3. Cell division time

This model was based on a combination of experimental data and computer simulations of gliobastoma multiforme and pancreatic adenocarcinoma.  Most tumor models follow a Gompertz kinetics, which show how tumor growth is exponential but eventually levels off over time.

This new theory shows though that a tumor cell with only one driver mutation can only grow so much, until a second driver mutation is required.  Using data for the COSMIC database (Catalog of Somatic Mutations in Cancer) together with analysis software CHASM (Cancer-specific High-throughput Annotation of Somatic Mutations) the researchers analyzed 713 mutations sequenced from 14 glioma patients and 562 mutations in nine pancreatic adenocarcinomas, revealing at least 100 tumor suppressor genes and 100 oncogenes altered.  Therefore, the authors suggested these may be possible driver mutations, or at least mutations required for the sustained growth of these tumors.  Applying this new model to data obtained from Dr. Giardiello’s publication concerning familial adenopolypsis in New England Journal of medicine in 19993 and 2000, the sequential driver mutation model predicted age distribution of FAP patients, number and size of polyps, and polyp growth rate than previous models.  This surprising number of required driver mutations for full transformation was also verified in a study led by University of Texas Southwestern Medical Center biologist Jerry Shay, Ph.D., who noted “this team’s surprise nearly 45% of all colorectal candidate oncogenes (65 mutations) drove malignant proliferation”[3].

However, some investigators do not believe the model is complex enough to account for other factors involved in oncogenesis, such as epigenetic factors like methylation and acetylation.  In addition the review also discusses host and tissue factors which may complicate the models, such as location where a tumor develops.  However, most of the investigators interviewed for this review agreed that focusing on this long-term progression of the disease may give us clues to other potential druggable targets.

Teams Use Math Models to Sort Drivers From Passengers

A related review from Mike Martin in JNCI [2] describes a statistical method, published in 2009 Cancer Informatics[4], which distinguishes chromosomal abnormalities that can drive oncogenesis from passenger abnormalities.  Chromosomal abnormalities, such as deletions, additions, and translocations are common in cancer.  For instance, the well-known Philadelphia chromosome, a translocation between chromosome 9 and 22 which results in the BCR-ABL tyrosine kinase fusion protein is the molecular basis of chronic myelogenous leukemia.

In the report, Eytan Domany, Ph.D., from Weizmann Institute and several colleagues from University of Lausanne, University of Haifa and the Broad Institute were analyzing chromosomal aberrations in a subset of medulloblastoma, which had more gain and losses in chromosomes than had been attributed to the disease.  Using a statistical method they termed a “volumetric sieve”, the investigators were able to identify driver versus passenger aberrations based on three filters:

  • Fraction of patients with the abnormality
  • Length of DNA involved in the aberrant chromosome
  • Abnormality’s copy number

Another method to sort the most “important” chromosomal aberrations from less relevant alterations is termed GISTIC[5], as the website describes is: a tool to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth (at the Broad Institute website http://www.broadinstitute.org/software/cprg/?q=node/31).  The method allows for comparison across multiple tumors so noise is eliminated and improves consistency of analysis.  This method had been successfully used to determine driver aberrations is mesotheliomas, leukemias, and identify new oncogenes in adenocarcinomas of the lung and squamous cell carcinoma of the esophagus.

Main references for the two Mike Martin articles are as follows:

1.         Martin M: Rewriting the mathematics of tumor growth. Journal of the National Cancer Institute 2011, 103(21):1564-1565.

2.         Martin M: Aberrant chromosomes: teams use math models to sort drivers from passengers. Journal of the National Cancer Institute 2010, 102(6):369-371.

3.         Eskiocak U, Kim SB, Ly P, Roig AI, Biglione S, Komurov K, Cornelius C, Wright WE, White MA, Shay JW: Functional parsing of driver mutations in the colorectal cancer genome reveals numerous suppressors of anchorage-independent growth. Cancer research 2011, 71(13):4359-4365.

4.         Shay T, Lambiv WL, Reiner-Benaim A, Hegi ME, Domany E: Combining chromosomal arm status and significantly aberrant genomic locations reveals new cancer subtypes. Cancer informatics 2009, 7:91-104.

5.         Beroukhim R, Getz G, Nghiemphu L, Barretina J, Hsueh T, Linhart D, Vivanco I, Lee JC, Huang JH, Alexander S et al: Assessing the significance of chromosomal aberrations in cancer: methodology and application to glioma. Proceedings of the National Academy of Sciences of the United States of America 2007, 104(50):20007-20012.

Further posts on CANCER and GENOMICS and Sequencing published on the site include:

The Initiation and Growth of Molecular Biology and Genomics

Inaugural Genomics in Medicine – The Conference Program, 2/11-12/2013, San Francisco, CA

LEADERS in Genome Sequencing of Genetic Mutations for Therapeutic Drug Selection in Cancer Personalized Treatment: Part 2

Paradigm Shift in Human Genomics – Predictive Biomarkers and Personalized Medicine – Part 1

Breast Cancer: Genomic profiling to predict Survival: Combination of Histopathology and Gene Expression Analysis

Computational Genomics Center: New Unification of Computational Technologies at Stanford

GSK for Personalized Medicine using Cancer Drugs needs Alacris systems biology model to determine the in silico effect of the inhibitor in its “virtual clinical trial”

arrayMap: Genomic Feature Mining of Cancer Entities of Copy Number Abnormalities (CNAs) Data

Comprehensive Genomic Characterization of Squamous Cell Lung Cancers

Mosaicism’ is Associated with Aging and Chronic Diseases like Cancer: detection of genetic mosaicism could be an early marker for detecting cancer.

http://onlinelibrary.wiley.com/doi/10.1111/j.1755-148X.2011.00905.x/full

http://pharmaceuticalintelligence.com/2013/02/05/winning-over-cancer-progression-new-oncology-drugs-to-suppress-driver-mutations-vs-passengers-mutations/

Additional references:

[1] Michor F, Iwasa Y, and Nowak MA (2004) Dynamics of cancer

progression. Nature Reviews Cancer 4, 197-205.

[2] Crespi B and Summers K (2005) Evolutionary biology of cancer.

Trends in Ecology and Evolution 20, 545-552.

[3] Merlo LMF, et al. (2006) Cancer as an evolutionary and ecological

process. Nature Reviews Cancer 6, 924-935.

[4] McFarland C, et al. “Accumulation of deleterious passenger mutations

in cancer,” in preparation.

[5] Birkbak NJ, et al. (2011) Paradoxical relationship between

chromosomal instability and survival outcome in cancer. Cancer

Research 71,3447-3452.

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Reporter: Aviral Vatsa PhD, MBBS

Osteocytes are the professional mechanosensors of bone. They modulate bone remodelling in accordance with external mechanical loads by orchestrating the activity of one forming osteoblasts and bone resorbing osteoclasts. Osteocytes are at the heart of bone metabolism. They constitute >95% of bone cells. They are terminally differentiated cells and reside in the hard mineralised matrix of bone, thus making it difficult to study them in situ. However, recent developments in imaging and tissue processing have made it possible to study osteocytes in their natural milieu. Moreover, increasing number of studies have highlighted the fact that a multifaceted approach from various domains of science such as biomechanics, cell biology, bioengineering, biophysics, biomaterials, computational modelling, endocrinology, and orthopaedics is essential to further our understanding of the intricate processes involved in bone remodelling and the central role of osteocytes in maintaining bone mass and architecture.

In this post a variety of reviews from an upcoming special issue on osteocytes in the journal Bone are highlighted that help us add few more pieces of knowledge to the ever growing eclaircissements on the subject.

1. Measurement and estimation of osteocyte mechanical strain

Review Article
Amber Rath Stern, Daniel P. Nicolella

Abstract

Osteocytes are the most abundant cell type in bone and are responsible for sensing mechanical strain and signaling bone (re)modeling, making them the primary mechanosensors within the bone. Under aging and osteoporotic conditions, bone is known to be less responsive to loading (exercise), but it is unclear why. Perhaps, the levels of mechanical strain required to initiate these biological events are not perceived by the osteocytes embedded within the bone tissue. In this review we examine the methods used to measure and estimate the strains experienced by osteocytes in vivo as well as the results of related published experiments. Although the physiological levels of strain experienced by osteocytes in vivo are still under investigation, through computational modeling and laboratory experiments, it has been shown that there is significant amplification of average bone strain at the level of the osteocyte lacunae. It has also been proposed that the material properties of the perilacunar region surrounding the osteocyte can have significant effects of the strain perceived by the embedded osteocyte. These facts have profound implications for studies involving osteoporotic bone where the material properties are known to become stiffer.

2. Glucocorticoids and Osteocyte Autophagy

Review Article
Wei Yao, Weiwei Dai, Jean X. Jiang, Nancy E. Lane

Abstract

Glucocorticoids are used for the treatment of inflammatory and autoimmune diseases. While they are effective therapy, bone loss and incident fracture risk is high. While previous studies have found GC effects on both osteoclasts and oteoblasts, our work has focused on the effects of GCs on osteocytes. Osteocytes exposed to low dose GCs undergo autophagy while osteocytes exposed to high doses of GCs or for a prolonged period of time undergo apoptosis. This paper will review the data to support the role of GCs in osteocyte autophagy.

3. Osteocytes remove and replace perilacunar mineral during reproductive cycles

Review Article
John J. Wysolmerski

Abstract

Lactation is associated with an increased demand for calcium and is accompanied by a remarkable cycle of bone loss and recovery that helps to supply calcium and phosphorus for milk production. Bone loss is the result of increased bone resorption that is due, in part, to increased levels of PTHrP and decreased levels of estrogen. However, the regulation of bone turnover during this time is not fully understood. In the 1960s and 1970s many observations were made to suggest that osteocytes could resorb bone and increase the size of their lacunae. This concept became known as osteocytic osteolysis and studies suggested that it occurred in response to parathyroid hormone and/or an increased systemic demand for calcium. However, this concept fell out of favor in the late 1970s when it was established that osteoclasts were the principal bone-resorbing cells. Given that lactation is associated with increased PTHrP levels and negative calcium balance, we recently examined whether osteocytes contribute to bone loss during this time. Our findings suggest that osteocytes can remodel their perilacunar and pericanalicular matrix and that they participate in the liberation of skeletal calcium stores during reproductive cycles. These findings raise new questions about the role of osteocytes in coordinating bone and mineral metabolism during lactation as well as the recovery of bone mass after weaning. It is also interesting to consider whether osteocyte lacunar and canalicular remodeling contribute more broadly to the maintenance of skeletal and mineral homeostasis.

4. Studying osteocytes within their environment

Review Article
Duncan J. Webster, Philipp Schneider, Sarah L. Dallas, Ralph Müller

Abstract

It is widely hypothesized that osteocytes are the mechano-sensors residing in the bone’s mineralized matrix which control load induced bone adaptation. Owing to their inaccessibility it has proved challenging to generate quantitative in vivo experimental data which supports this hypothesis. Recent advances in in situ imaging, both in non-living and living specimens, have provided new insights into the role of osteocytes in the skeleton. Combined with the retrieval of biochemical information from mechanically stimulated osteocytes using in vivo models, quantitative experimental data is now becoming available which is leading to a more accurate understanding of osteocyte function. With this in mind, here we review i) state of the art ex vivo imaging modalities which are able to precisely capture osteocyte structure in 3D, ii) live cell imaging techniques which are able to track structural morphology and cellular differentiation in both space and time, and iii) in vivo models which when combined with the latest biochemical assays and microfluidic imaging techniques can provide further insight on the biological function of osteocytes.

5. Osteocyte apoptosis

Review Article
Robert L. Jilka, Brendon Noble, Robert S. Weinstein

Abstract

Apoptotic death of osteocytes was recognized over 15 years ago, but its significance for bone homeostasis has remained elusive. A new paradigm has emerged that invokes osteocyte apoptosis as a critical event in the recruitment of osteoclasts to a specific site in response to skeletal unloading, fatigue damage, estrogen deficiency and perhaps in other states where bone must be removed. This is accomplished by yet to be defined signals emanating from dying osteocytes, which stimulate neighboring viable osteocytes to produce osteoclastogenic cytokines. The osteocyte apoptosis caused by chronic glucocorticoid administration does not increase osteoclasts; however, it does negatively impact maintenance of bone hydration, vascularity, and strength.

6. Emerging role of primary cilia as mechanosensors in osteocytes

Review Article
An M. Nguyen, Christopher R. Jacobs

Abstract

The primary cilium is a solitary, immotile microtubule-based extension present on nearly every mammalian cell. This organelle has established mechanosensory roles in several contexts including kidney, liver, and the embryonic node. Mechanical load deflects the cilium, triggering biochemical responses. Defects in cilium function have been associated with numerous human diseases. Recent research has implicated the primary cilium as a mechanosensor in bone. In this review, we discuss the cilium, the growing evidence for its mechanosensory role in bone, and areas of future study.

7. Mechanosensation and transduction in osteocytes

Review Article
Jenneke Klein-Nulend, Astrid D. Bakker, Rommel G. Bacabac, Aviral Vatsa, Sheldon Weinbaum

Abstract

The human skeleton is a miracle of engineering, combining both toughness and light weight. It does so because bones possess cellular mechanisms wherein external mechanical loads are sensed. These mechanical loads are transformed into biological signals, which ultimately direct bone formation and/or bone resorption. Osteocytes, since they are ubiquitous in the mineralized matrix, are the cells that sense mechanical loads and transduce the mechanical signals into a chemical response. The osteocytes then release signaling molecules, which orchestrate the recruitment and activity of osteoblasts or osteoclasts, resulting in the adaptation of bone mass and structure. In this review, we highlight current insights in bone adaptation to external mechanical loading, with an emphasis on how a mechanical load placed on whole bones is translated and amplified into a mechanical signal that is subsequently sensed by the osteocytes.

8. The osteocyte in CKD: New concepts regarding the role of FGF23 in mineral metabolism and systemic complications

Review Article
Katherine Wesseling-Perry, Harald Jüppner

Abstract

The identification of elevated circulating levels of the osteocytic protein fibroblast growth factor 23 (FGF23) in patients with chronic kidney disease (CKD), along with recent data linking these values to the pathogenesis of secondary hyperparathyroidism and to systemic complications, has changed the approach to the pathophysiology and treatment of disordered bone and mineral metabolism in renal failure. It now appears that osteocyte biology is altered very early in the course of CKD and these changes have implications for bone biology, as well as for progressive cardiovascular and renal disease. Since circulating FGF23 values are influenced by therapies used to treat secondary hyperparathyroidism, the effects of different therapeutic paradigms on FGF23 have important implications for mineral metabolism as well as for morbidity and mortality. Further studies are critically needed to identify the initial trigger for abnormalities of skeletal mineralization and turnover as well as the potential effects that current therapeutic options may have on osteocyte biology.

9. Vitamin D signaling in osteocytes: Effects on bone and mineral homeostasis

Review Article
Liesbet Lieben, Geert Carmeliet

Abstract

The active form of vitamin D [1,25(OH)2D] is an important regulator of calcium and bone homeostasis, as evidenced by the consequences of 1,25(OH)2D inactivity in man and mice, which include hypocalcemia, hypophosphatemia, secondary hyperparathyroidism and bone abnormalities. The recent generation of tissue-specific (intestine, osteoblast/osteocyte, chondrocyte) vitamin D receptor (Vdr) null mice has provided mechanistic insight in the cell-specific actions of 1,25(OH)2D and their contribution to the integrative physiology of VDR signaling that controls bone and mineral metabolism. These studies have demonstrated that even with normal dietary calcium intake, 1,25(OH)2D is crucial to maintain normal calcium and bone homeostasis and accomplishes this through this primarily through stimulation of intestinal calcium transport. When, moreover, insufficient calcium is acquired from the diet (severe dietary calcium restriction, lack of intestinal VDR activity), 1,25(OH)2D levels will increase and will directly act on osteoblasts and osteocytes to enhance bone resorption and to suppress bone matrix mineralization. Although this system is essential to maintain normal calcium levels in blood during a negative calcium balance, the consequences for bone are disastrous and generate an increased fracture risk. These findings evidently demonstrate that preservation of serum calcium levels has priority over skeletal integrity. Since vitamin D supplementation is an essential part of anti-osteoporotic therapy, mechanistic insight in vitamin D actions is required to define the optimal therapeutic regimen, taking into account the amount of dietary calcium supply, in order to maximize the targeted outcome and to avoid side-effects. We will review the current understanding concerning the functions of osteoblastic/osteocytic VDR signaling which not only include the regulation of bone metabolism, but also comprise the control of calcium and phosphate homeostasis via fibroblast growth factor (FGF) 23 secretion and the maintenance of the hematopoeitic stem cell (HSC) niche, with special focus on the experimental data obtained from systemic and osteoblast/osteocyte-specific Vdr null mice.

10. In vitro and in vivo approaches to study osteocyte biology

Review Article
Ivo Kalajzic, Brya G. Matthews, Elena Torreggiani, Marie A. Harris, Paola Divieti Pajevic, Stephen E. Harris

Abstract

Osteocytes, the most abundant cell population of the bone lineage, have been a major focus in the bone research field in recent years. This population of cells that resides within mineralized matrix is now thought to be the mechanosensory cell in bone and plays major roles in the regulation of bone formation and resorption. Studies of osteocytes had been impaired by their location, resulting in numerous attempts to isolate primary osteocytes and to generate cell lines representative of the osteocytic phenotype. Progress has been achieved in recent years by utilizing in vivo genetic technology and generation of osteocyte directed transgenic and gene deficiency mouse models.

We will provide an overview of the current in vitro and in vivo models utilized to study osteocyte biology. We discuss generation of osteocyte-like cell lines and isolation of primary osteocytes and summarize studies that have utilized these cellular models to understand the functional role of osteocytes. Approaches that attempt to selectively identify and isolate osteocytes using fluorescent protein reporters driven by regulatory elements of genes that are highly expressed in osteocytes will be discussed.

In addition, recent in vivo studies utilizing overexpression or conditional deletion of various genes using dentin matrix protein (Dmp1) directed Cre recombinase are outlined. In conclusion, evaluation of the benefits and deficiencies of currently used cell lines/genetic models in understanding osteocyte biology underlines the current progress in this field. The future efforts will be directed towards developing novel in vitro and in vivo models that would additionally facilitate in understanding the multiple roles of osteocytes.

11. Gap junction and hemichannel functions in osteocytes

Review Article
Alayna E. Loiselle, Jean X. Jiang, Henry J. Donahue

Abstract

Cell-to-cell and cell-to-matrix communication in bone cells mediated by gap junctions and hemichannels, respectively, maintains bone homeostasis. Gap junctional communication between cells permits the passage of small molecules including calcium and cyclic AMP. This cell-to-cell communication occurs between bone cells including osteoblasts, osteoclasts and osteocytes, and is important in both bone formation and bone resorption. Connexin (Cx) 43 is the predominant gap junction protein in bone cells, and facilitates the communication of cellular signals either through docking of gap junctions between two cells, or through the formation of un-paired hemichannels. Systemic deletion of Cx43 results in perinatal lethality, so conditional deletion models are necessary to study the postnatal role of gap junctions in bone. These models provide the opportunity to determine the role of gap junctions in specific bone cells, notably the osteocyte. In this review, we summarize the key roles that gap junctions and hemichannels in osteocytes play in bone cell response to many stimuli including mechanical loading, intracellular and extracellular stimuli, such as parathyroid hormone, PGE2, plasma calcium levels and pH, as well as in maintaining osteocyte survival.

12. Effects of PTH on osteocyte function

Review Article
Teresita Bellido, Vaibhav Saini, Paola Divieti Pajevic

Abstract

Osteocytes are ideally positioned to detect and respond to mechanical and hormonal stimuli and to coordinate the function of osteoblasts and osteoclasts. However, evidence supporting the involvement of osteocytes in specific aspects of skeletal biology has been limited mainly due to the lack of suitable experimental approaches. Few crucial advances in the field in the past several years have markedly increased our understanding of the function of osteocytes. The development of osteocytic cell lines initiated a plethora of in vitro studies that have provided insights into the unique biology of osteocytes and continue to generate novel hypotheses. Genetic approaches using promoter fragments that direct gene expression to osteocytes allowed the generation of mice with gain or loss of function of particular genes revealing their role in osteocyte function. Furthermore, evidence that Sost/sclerostin is expressed primarily in osteocytes and inhibits bone formation by osteoblasts, fueled research attempting to identify regulators of this gene as well as other osteocyte products that impact the function of osteoblasts and osteoclasts. The discovery that parathyroid hormone (PTH), a central regulator of bone homeostasis, inhibits sclerostin expression generated a cascade of studies that revealed that osteocytes are crucial target cells of the actions of PTH. This review highlights these investigations and discusses their significance for advancing our understanding of the mechanisms by which osteocytes regulate bone homeostasis and for developing therapies for bone diseases targeting osteocytes.

13. For whom the bell tolls: Distress signals from long-lived osteocytes and the pathogenesis of metabolic bone diseases

Review Article
Stavros C. Manolagas, A. Michael Parfitt

Abstract

Osteocytes are long-lived and far more numerous than the short-lived osteoblasts and osteoclasts. Immured within the lacunar–canalicular system and mineralized matrix, osteocytes are ideally located throughout the bone to detect the need for, and accordingly choreograph, the bone regeneration process by independently controlling rate limiting steps of bone resorption and formation. Consistent with this role, emerging evidence indicates that signals arising from apoptotic and old/or dysfunctional osteocytes are seminal culprits in the pathogenesis of involutional, post-menopausal, steroid-, and immobilization-induced osteoporosis. Osteocyte-originated signals may also contribute to the increased bone fragility associated with bone matrix disorders like osteogenesis imperfecta, and perhaps the rapid reversal of bone turnover above baseline following discontinuation of anti-resorptive treatments, like denosumab.

14. Osteocyte control of osteoclastogenesis

Review Article
Charles A. O’Brien, Tomoki Nakashima, Hiroshi Takayanagi

Abstract

Multiple lines of evidence support the idea that osteocytes act as mechanosensors in bone and that they control bone formation, in part, by expressing the Wnt antagonist sclerostin. However, the role of osteocytes in the control of bone resorption has been less clear. Recent studies have demonstrated that osteocytes are the major source of the cytokine RANKL involved in osteoclast formation in cancellous bone. The goal of this review is to discuss these and other studies that reveal mechanisms whereby osteocytes control osteoclast formation and thus bone resorption.

References

  1. A. R. Stern and D. P. Nicolella, “Measurement and estimation of osteocyte mechanical strain,” Bone.
  2. W. Yao, W. Dai, J. X. Jiang, and N. E. Lane, “Glucocorticoids and Osteocyte Autophagy,” Bone.
  3. J. J. Wysolmerski, “Osteocytes remove and replace perilacunar mineral during reproductive cycles,” Bone.
  4. D. J. Webster, P. Schneider, S. L. Dallas, and R. Müller, “Studying osteocytes within their environment,” Bone.
  5. R. L. Jilka, B. Noble, and R. S. Weinstein, “Osteocyte apoptosis,” Bone.
  6. A. M. Nguyen and C. R. Jacobs, “Emerging role of primary cilia as mechanosensors in osteocytes,” Bone.
  7. J. Klein-Nulend, A. D. Bakker, R. G. Bacabac, A. Vatsa, and S. Weinbaum, “Mechanosensation and transduction in osteocytes,” Bone.
  8. K. Wesseling-Perry and H. Jüppner, “The osteocyte in CKD: New concepts regarding the role of FGF23 in mineral metabolism and systemic complications,” Bone.
  9. L. Lieben and G. Carmeliet, “Vitamin D signaling in osteocytes: Effects on bone and mineral homeostasis,” Bone.
  10. I. Kalajzic, B. G. Matthews, E. Torreggiani, M. A. Harris, P. Divieti Pajevic, and S. E. Harris, “In vitro and in vivo approaches to study osteocyte biology,” Bone.
  11. A. E. Loiselle, J. X. Jiang, and H. J. Donahue, “Gap junction and hemichannel functions in osteocytes,” Bone.
  12. T. Bellido, V. Saini, and P. D. Pajevic, “Effects of PTH on osteocyte function,” Bone.
  13. S. C. Manolagas and A. M. Parfitt, “For whom the bell tolls: Distress signals from long-lived osteocytes and the pathogenesis of metabolic bone diseases,” Bone
  14. C. A. O’Brien, T. Nakashima, and H. Takayanagi, “Osteocyte control of osteoclastogenesis,” Bone.
  15. Bone remodelling in a nutshel June 22, 2012 by aviralvatsa
  16. Isolation of primary osteocytes from skeletally mature mice bones: Reoprt on “Isolation and culture of primary osteocytes from the long bones of skeletally mature and aged mice” (BioTechniques 52:361-373 ( June 2012) doi 10.2144/0000113876 )
  17. Nitric Oxide in bone metabolism July 16, 2012 by aviralvatsa

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Reporter and Curator: Dr. Sudipta Saha, Ph.D.

Meiosis plays a crucial role in generating haploid gametes for sexual reproduction. In most organisms, the presence of crossovers between homologous chromosomes, in combination with connections between sister chromatids, creates a physical connection that ensures regular segregation of homologs at the first of the two meiotic divisions.

Abnormality in generating crossovers is the leading cause of miscarriage and birth defects. Crossovers also create new combinations of alleles, thus contributing to genetic diversity and evolution. Recent linkage disequilibrium and pedigree studies have shown that the distribution of recombination is highly uneven across the human genome, as in all studied organisms. Substantial recombination active regions are not conserved between humans and chimpanzees or among different human populations, suggesting that these regions are quickly evolving and might even be individual-specific. However, such variation in the human population would be masked by the population average, and resolution of this variation would require comparison of recombination genome-wide among many single genomes.

Whole-genome amplification (WGA) of single sperm cells was proposed decades ago to facilitate mapping recombination at the individual level. With the development of highthroughput genotyping technologies, wholegenome mapping of recombination events in single gametes of an individual is achievable and was recently demonstrated by performing WGA by multiple displacement amplification (MDA) on single sperm cells, followed by genotyping with DNA microarrays recently demonstrated by Wang et al.. However, due to the amplification bias and, consequently, insufficient marker density, the resolution of crossover locations has been limited to ~150 kb thus far. In addition, in their recent work, Wang et al. relied on prior knowledge of the chromosome-level haplotype information of the analyzed individual, which is experimentally inconvenient to obtain and is currently available for only a few individuals.

Meiotic recombination creates genetic diversity and ensures segregation of homologous chromosomes. Previous population analyses yielded results averaged among individuals and affected by evolutionary pressures. In this study 99 sperm from an Asian male was sequenced by using the newly developed amplification method—multiple annealing and looping-based amplification cycles—to phase the personal genome and map recombination events at high resolution, which are non-uniformly distributed across the genome in the absence of selection pressure. The paucity of recombination near transcription start sites observed in individual sperm indicates that such a phenomenon is intrinsic to the molecular mechanism of meiosis. Interestingly, a decreased crossover frequency combined with an increase of autosomal aneuploidy is observable on a global per-sperm basis.

Source References:

http://www.ncbi.nlm.nih.gov/pubmed/23258895

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Curator: Aviva Lev-Ari, PhD, RN

Chaperon Protein Mechanism inspired MIT Team to Model the Role of Genetic Mutations on Cancer Progression, proposing the next generation of Oncology drugs to aim at Suppression of Passenger Mutations. Current drug, in clinical trials, use the Chaperon Protein Mechanism to suppress Driver Mutations.

Deleterious Mutations in Cancer Progression

Kirill S. Korolev1, Christopher McFarland2, and Leonid A. Mirny3

1Department of Physics, MIT, Cambridge, MA.

E-mail: papers.korolev@gmail.com

2Graduate Program in Biophysics, Harvard University, Cambridge, MA.

3Health Sciences and Technology, MIT, Cambridge, MA

The research was funded by the National Institutes of Health/National Cancer Institute Physical Sciences Oncology Center at MIT.

SOURCE:

http://cnls.lanl.gov/q-bio/wiki/images/4/40/Abstract.pdf

Deleterious passenger mutations significantly affect evolutionary dynamics of cancer. Including passenger mutations in evolutionary models is necessary to understand the role of genetic diversity in cancer progression and to create new treatments based on the accumulation of deleterious passenger mutations.

Evolutionary models of cancer almost exclusively focus on the acquisition of driver mutations, which are beneficial to cancer cells. The driver mutations, however, are only a small fraction of the mutations found in tumors. The other mutations, called passenger mutations, are typically neglected because their effect on fitness is assumed to be very small. Recently, it has been suggested that some passenger mutations are slightly deleterious. We find that deleterious passengers significantly affect cancer progression. In particular, they lead to a critical tumor size, below which tumors shrink on average, and to an optimal mutation rate for cancer evolution.

ANCER is an outcome of somatic evolution [1-3]. To outcompete their benign sisters, cancer cells need to acquire many heritable changes (driver mutations) that enable proliferation. In addition to the rare beneficial drivers, cancer cells must also acquire neutral or slightly deleterious passenger mutations [4]. Indeed, the number of possible passengers exceeds the number of possible drivers by orders of magnitude. Surprisingly, the effect of passenger mutations on cancer progression has not been explored. To address this problem, we developed an evolutionary model of cancer progression, which includes both drivers and passengers. This model was analyzed both numerically and analytically to understand how mutation rate, population size, and fitness effects of mutations affect cancer progression.

RESULTS

Upon including passengers in our model, we found that cancer is no longer a straightforward progression to malignancy. In particular, there is a critical population size such that smaller populations accumulate passengers and decline, while larger populations accumulate drivers and grow. The transition to cancer for small initial populations is, therefore, stochastic in nature and is similar to diffusion over an energy barrier in chemical kinetics. We also found that there is an optimal mutation rate for cancer development, and passengers with intermediate fitness costs are most detrimental to cancer. The existence of an optimal mutation rate could explain recent clinical data [5] and is in stark contrast to the predictions of the models neglecting passengers. We also show that our theory is consistent with recent sequencing data.

SOURCE:

http://cnls.lanl.gov/q-bio/wiki/images/4/40/Abstract.pdf

Just as some mutations in the genome of cancer cells actively spur tumor growth, it would appear there are also some that do the reverse, and act to slow it down or even stop it, according to a new US study led by MIT.

Senior author, Leonid Mirny, an associate professor of physics and health sciences and technology at MIT, and colleagues, write about this surprise finding in a paper to be published online this week in the Proceedings of the National Academy of Sciences.

In a statement released on Monday, Mirny tells the press:

“Cancer may not be a sequence of inevitable accumulation of driver events, but may be actually a delicate balance between drivers and passengers.”

“Spontaneous remissions or remissions triggered by drugs may actually be mediated by the load of deleterious passenger mutations,” he suggests.

Cancer Cell‘s Genome Has “Drivers” and “Passengers”

Your average cancer cell has a genome littered with thousands of mutations and hundreds of mutated genes. But only a handful of these mutated genes are drivers that are responsible for the uncontrolled growth that leads to tumors.

Up until this study, cancer researchers have mostly not paid much attention to the “passenger” mutations, believing that because they were not “drivers”, they had little effect on cancer progression. 

Now Mirny and colleagues have discovered, to their surprise, that the “passengers” aren’t there just for the ride. In sufficient numbers, they can slow down, and even stop, the cancer cells from growing and replicating as tumors. 

New Drugs Could Target the Passenger Mutations in Protein Chaperoning

Although there are already several drugs in development that target the effect of chaperone proteins in cancer, they are aiming to suppress driver mutations.

Recently, biochemists at the University of Massachusetts Amherst“trapped” a chaperone in action, providing a dynamic snapshot of its mechanism as a way to help development of new drugs that target drivers.

But Mirny and colleagues say there is now another option: developing drugs that target the same chaperoning process, but their aim would be to encourage the suppressive effect of the passenger mutations.

They are now comparing cells with identical driver mutations but different passenger mutations, to see which have the strongest effect on growth.

They are also inserting the cells into mice to see which are the most likely to lead to secondary tumors (metastasize).

Written by Catharine Paddock PhD
Copyright: Medical News Today

SOURCE:

http://www.medicalnewstoday.com/articles/255920.php

After proteins are synthesized, they need to be folded into the correct shape, and chaperones help with that process. In cancerous cells, chaperones help proteins fold into the correct shape even when they are mutated, helping to suppress the effects of deleterious mutations.
Several potential drugs that inhibit chaperone proteins are now in clinical trials to treat cancer, although researchers had believed that they acted by suppressing the effects of driver mutations, not by enhancing the effects of passengers.

In current studies, the researchers are comparing cancer cell lines that have identical driver mutations but a different load of passenger mutations, to see which grow faster. They are also injecting the cancer cell lines into mice to see which are likeliest to metastasize.

Drugs that tip the balance in favor of the passenger mutations could offer a new way to treat cancer, the researchers say, beating it with its own weapon — mutations. Although the influence of a single passenger mutation is minuscule, “collectively they can have a profound effect,” Mirny says. “If a drug can make them a little bit more deleterious, it’s still a tiny effect for each passenger, but collectively this can build up.”

In natural populations, selection weeds out deleterious mutations. However, Mirny and his colleagues suspected that the evolutionary process in cancer can proceed differently, allowing mutations with only a slightly harmful effect to accumulate.

If enough deleterious passengers are present, their cumulative effects can slow tumor growth, the simulations found. Tumors may become dormant, or even regress, but growth can start up again if new driver mutations are acquired. This matches the cancer growth patterns often seen in human patients.

“Spontaneous remissions or remissions triggered by drugs may actually be mediated by the load of deleterious passenger mutations.”

When they analyzed passenger mutations found in genomic data taken from cancer patients, the researchers found the same pattern predicted by their model — accumulation of large quantities of slightly deleterious mutations.

REFERENCE

Massachusetts Institute of Technology (2013, February 4). Some cancer mutations slow tumor growth. ScienceDaily. Retrieved February 4, 2013, from http://www.sciencedaily.com­/releases/2013/02/130204154011.htm

Biochemists Trap A Chaperone Machine In Action

Main Category: Biology / Biochemistry
Article Date: 11 Dec 2012 – 0:00 PST

Molecular chaperones have emerged as exciting new potential drug targets, because scientists want to learn how to stop cancer cells, for example, from using chaperones to enable their uncontrolled growth. Now a team of biochemists at the University of Massachusetts Amherst led by Lila Gierasch have deciphered key steps in the mechanism of the Hsp70 molecular machine by “trapping” this chaperone in action, providing a dynamic snapshot of its mechanism.

She and colleagues describe this work in the current issue of Cell. Gierasch’s research on Hsp70 chaperones is supported by a long-running grant to her lab from NIH’s National Institute for General Medical Sciences.

Molecular chaperones like the Hsp70s facilitate the origami-like folding of proteins, made in the cell’s nanofactories or ribosomes, from where they emerge unstructured like noodles. Proteins only function when folded into their proper structures, but the process is so difficult under cellular conditions that molecular chaperone helpers are needed. 

The newly discovered information about chaperone action is important because all rapidly dividing cells use a lot of Hsp70, Gierasch points out. “The saying is that cancer cells are addicted to Hsp70 because they rely on this chaperone for explosive new cell growth. Cancer shifts our body’s production of Hsp70 into high gear. If we can figure out a way to take that away from cancer cells, maybe we can stop the out-of-control tumor growth. To find a molecular way to inhibit Hsp70, you’ve got to know how it works and what it needs to function, so you can identify its vulnerabilities.”

Chaperone proteins in cells, from bacteria to humans, act like midwives or bodyguards, protecting newborn proteins from misfolding and existing proteins against loss of structure caused by stress such as heat or a fever. In fact, the heat shock protein (Hsp) group includes a variety of chaperones active in both these situations.

As Gierasch explains, “New proteins emerge into a challenging environment. It’s very crowded in the cell and it would be easy for them to get their sticky amino acid chains tangled and clumped together. Chaperones bind to them and help to avoid this aggregation, which is implicated in many pathologies such as neurodegenerative diseases. This role of chaperones has also heightened interest in using them therapeutically.”

However, chaperones must not bind too tightly or a protein can’t move on to do its job. To avoid this, chaperones rapidly cycle between tight and loose binding states, determined by whether ATP or ADP is bound. In the loose state, a protein client is free to fold or to be picked up by another chaperone that will help it fold to do its cellular work. In effect, Gierasch says, Hsp70s create a “holding pattern” to keep the protein substrate viable and ready for use, but also protected.

She and colleagues knew the Hsp70’s structure in both tight and loose binding affinity states, but not what happened between, which is essential to understanding the mechanism of chaperone action. Using the analogy of a high jump, they had a snapshot of the takeoff and landing, but not the top of the jump. “Knowing the end points doesn’t tell us how it works. There is a shape change in there that we wanted to see,” Gierasch says.

To address this, she and her colleagues postdoctoral fellows Anastasia Zhuravleva and Eugenia Clerico obtained “fingerprints” of the structure of Hsp70 in different states by using state-of-the-art nuclear magnetic resonance (NMR) methods that allowed them to map how chemical environments of individual amino acids of the protein change in different sample conditions. Working with an Hsp70 known as DnaK from E. coli bacteria, Zhuravleva and Clerico assigned its NMR spectra. In other words, they determined which peaks came from which amino acids in this large molecule.

The UMass Amherst team then mutated the Hsp70 so that cycling between tight and loose binding states stopped. As Gierasch explains, “Anastasia and Eugenia were able to stop the cycle part-way through the high jump, so to speak, and obtain the molecular fingerprint of a transient intermediate.” She calls this accomplishment “brilliant.”

Now that the researchers have a picture of this critical allosteric state, that is, one in which events at one site control events in another, Gierasch says many insights emerge. For example, it appears nature uses this energetically tense state to “tune” alternate versions of Hsp70 to perform different cellular functions. “Tuning means there may be evolutionary changes that let the chaperone work with its partners optimally,” she notes.

“And if you want to make a drug that controls the amount of Hsp70 available to a cell, our work points the way toward figuring out how to tickle the molecule so you can control its shape and its ability to bind to its client. We’re not done, but we made a big leap,” Gierasch adds. “We now have a idea of what the Hsp70 structure is when it is doing its job, which is extraordinarily important.” 

Article adapted by Medical News Today from original press release. Click ‘references’ tab above for source.
Visit our biology / biochemistry section for the latest news on this subject.
SOURCE:

REFERENCES

[1] Michor F, Iwasa Y, and Nowak MA (2004) Dynamics of cancer

progression. Nature Reviews Cancer 4, 197-205.

[2] Crespi B and Summers K (2005) Evolutionary biology of cancer.

Trends in Ecology and Evolution 20, 545-552.

[3] Merlo LMF, et al. (2006) Cancer as an evolutionary and ecological

process. Nature Reviews Cancer 6, 924-935.

[4] McFarland C, et al. “Accumulation of deleterious passenger mutations

in cancer,” in preparation.

[5] Birkbak NJ, et al. (2011) Paradoxical relationship between

chromosomal instability and survival outcome in cancer. Cancer

Research 71,3447-3452.

Other related articles on this Open Access Online Scientific Journal include the following:

Hold on. Mutations in Cancer do good.

http://pharmaceuticalintelligence.com/2013/02/04/hold-on-mutations-in-cancer-do-good/

Rational Design of Allosteric Inhibitors and Activators Using the Population-Shift Model: In Vitro Validation and Application to an Artificial Biosensor

http://pharmaceuticalintelligence.com/2012/10/26/rational-design-of-allosteric-inhibitors-and-activators-using-the-population-shift-model-in-vitro-validation-and-application-to-an-artificial-biosensor/

LEADERS in Genome Sequencing of Genetic Mutations for Therapeutic Drug Selection in Cancer Personalized Treatment: Part 2

http://pharmaceuticalintelligence.com/2013/01/13/leaders-in-genome-sequencing-of-genetic-mutations-for-therapeutic-drug-selection-in-cancer-personalized-treatment-part-2/

Exome sequencing of serous endometrial tumors shows recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes

http://pharmaceuticalintelligence.com/2012/12/18/exome-sequencing-of-serous-endometrial-tumors-shows-recurrent-somatic-mutations-in-chromatin-remodeling-and-ubiquitin-ligase-complex-genes/

Genome-Wide Detection of Single-Nucleotide and Copy-Number Variation of a Single Human Cell(1)

http://pharmaceuticalintelligence.com/2013/02/03/genome-wide-detection-of-single-nucleotide-and-copy-number-variation-of-a-single-human-cell/

Gastric Cancer: Whole-genome reconstruction and mutational signatures

http://pharmaceuticalintelligence.com/2012/12/24/gastric-cancer-whole-genome-reconstruction-and-mutational-signatures-2/

Pregnancy with a Leptin-Receptor Mutation

http://pharmaceuticalintelligence.com/2012/10/31/pregnancy-with-a-leptin-receptor-mutation/

Mitochondrial mutation analysis might be “1-step” away

http://pharmaceuticalintelligence.com/2012/08/14/mitochondrial-mutation-analysis-might-be-1-step-away/

Genome-wide Single-Cell Analysis of Recombination Activity and De Novo Mutation Rates in Human Sperm

http://pharmaceuticalintelligence.com/2012/08/07/genome-wide-single-cell-analysis-of-recombination-activity-and-de-novo-mutation-rates-in-human-sperm/

A Prion Like-Protein, Protein Kinase Mzeta and Memory Maintenance

http://pharmaceuticalintelligence.com/2012/10/19/a-prion-like-protein-protein-kinase-mzeta-and-memory-maintenance/

Hope for Male Contraception: A small molecule that inhibits a protein important for chromatin organization can cause reversible sterility in male mice

http://pharmaceuticalintelligence.com/2012/09/03/hope-for-male-contraception-a-small-molecule-that-inhibits-a-protein-important-for-chromatin-organization-can-cause-reversible-sterility-in-male-mice/

Protein Folding may lead to better FLU Vaccine

http://pharmaceuticalintelligence.com/2012/07/25/protein-folding-may-lead-to-better-flu-vaccine/

SNAP: Predict Effect of Non-synonymous Polymorphisms: How well Genome Interpretation Tools could Translate to the Clinic

http://pharmaceuticalintelligence.com/2013/02/03/snap-predict-effect-of-non-synonymous-polymorphisms-how-well-genome-interpretation-tools-could-translate-to-the-clinic/

Drugging the Epigenome

http://pharmaceuticalintelligence.com/2013/02/01/drugging-the-epigenome/

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Reporter: Prabodh Kandala, PhD

Screen Shot 2021-07-19 at 6.21.55 PM

Word Cloud By Danielle Smolyar

A typical cancer cell has thousands of mutations scattered throughout its genome and hundreds of mutated genes. However, only a handful of those genes, known as drivers, are responsible for cancerous traits such as uncontrolled growth. Cancer biologists have largely ignored the other mutations, believing they had little or no impact on cancer progression.

But a new study from MIT, Harvard University, the Broad Institute and Brigham and Women’s Hospital reveals, for the first time, that these so-called passenger mutations are not just along for the ride. When enough of them accumulate, they can slow or even halt tumor growth.

The findings, reported in this week’sProceedings of the National Academy of Sciences, suggest that cancer should be viewed as an evolutionary process whose course is determined by a delicate balance between driver-propelled growth and the gradual buildup of passenger mutations that are damaging to cancer, says Leonid Mirny, an associate professor of physics and health sciences and technology at MIT and senior author of the paper.

Furthermore, drugs that tip the balance in favor of the passenger mutations could offer a new way to treat cancer, the researchers say, beating it with its own weapon — mutations. Although the influence of a single passenger mutation is minuscule, “collectively they can have a profound effect,” Mirny says. “If a drug can make them a little bit more deleterious, it’s still a tiny effect for each passenger, but collectively this can build up.”

Lead author of the paper is Christopher McFarland, a graduate student at Harvard. Other authors are Kirill Korolev, a Pappalardo postdoctoral fellow at MIT, Gregory Kryukov, a senior computational biologist at the Broad Institute, and Shamil Sunyaev, an associate professor at Brigham and Women’s.

Power struggle

Cancer can take years or even decades to develop, as cells gradually accumulate the necessary driver mutations. Those mutations usually stimulate oncogenes such as Ras, which promotes cell growth, or turn off tumor-suppressing genes such as p53, which normally restrains growth.

Passenger mutations that arise randomly alongside drivers were believed to be fairly benign: In natural populations, selection weeds out deleterious mutations. However, Mirny and his colleagues suspected that the evolutionary process in cancer can proceed differently, allowing mutations with only a slightly harmful effect to accumulate.

To test this theory, the researchers created a computer model that simulates cancer growth as an evolutionary process during which a cell acquires random mutations. These simulations followed millions of cells: every cell division, mutation and cell death.

They found that during the long periods between acquisition of driver mutations, many passenger mutations arose. When one of the cancerous cells gains a new driver mutation, that cell and its progeny take over the entire population, bringing along all of the original cell’s baggage of passenger mutations. “Those mutations otherwise would never spread in the population,” Mirny says. “They essentially hitchhike on the driver.”

This process repeats five to 10 times during cancer development; each time, a new wave of damaging passengers is accumulated. If enough deleterious passengers are present, their cumulative effects can slow tumor growth, the simulations found. Tumors may become dormant, or even regress, but growth can start up again if new driver mutations are acquired. This matches the cancer growth patterns often seen in human patients.

“Cancer may not be a sequence of inevitable accumulation of driver events, but may be actually a delicate balance between drivers and passengers,” Mirny says. “Spontaneous remissions or remissions triggered by drugs may actually be mediated by the load of deleterious passenger mutations.”

When they analyzed passenger mutations found in genomic data taken from cancer patients, the researchers found the same pattern predicted by their model — accumulation of large quantities of slightly deleterious mutations.

Tipping the balance

In computer simulations, the researchers tested the possibility of treating tumors by boosting the impact of deleterious mutations. In their original simulation, each deleterious passenger mutation reduced the cell’s fitness by about 0.1 percent. When that was increased to 0.3 percent, tumors shrank under the load of their own mutations.

The same effect could be achieved in real tumors with drugs that interfere with proteins known as chaperones, Mirny suggests. After proteins are synthesized, they need to be folded into the correct shape, and chaperones help with that process. In cancerous cells, chaperones help proteins fold into the correct shape even when they are mutated, helping to suppress the effects of deleterious mutations.

Several potential drugs that inhibit chaperone proteins are now in clinical trials to treat cancer, although researchers had believed that they acted by suppressing the effects of driver mutations, not by enhancing the effects of passengers.

In current studies, the researchers are comparing cancer cell lines that have identical driver mutations but a different load of passenger mutations, to see which grow faster. They are also injecting the cancer cell lines into mice to see which are likeliest to metastasize.

Ref:

Massachusetts Institute of Technology (2013, February 4). Some cancer mutations slow tumor growth. ScienceDaily. Retrieved February 4, 2013, from http://www.sciencedaily.com­/releases/2013/02/130204154011.htm

Read Full Post »

Genome-Wide Detection of Single-Nucleotide and Copy-Number Variation of a Single Human Cell(1)

Reporter, Writer: Stephen J. Williams, Ph.D.

 

Most tumors exhibit a level of diversity, at the cellular, histologic, and even genetic level (2).  This genetic heterogeneity within a tumor has been a focus of recent research efforts to analyze the characteristics, expression patterns, and genetic differences between individual tumor cells.  This genetic diversity is usually manifested as single nucleotide variations (SNV) and copy number variations (CNV), both of which provide selection pressures in both cancer and evolution.

As cancer research and personalized medicine is focused on analyzing this tumor heterogeneity it has become pertinent view the tumor as a heterogeneous population of cells instead of as a homogenous mass.  In, fact, studies have suggested that cancer cell lines growing on plastic in culture, even though thought of as clonogenic, can actually display a varied degree of expression differences between neighboring cells growing on the same dish.  Indeed, cancer stem cells show an asynchronous cell division, for example a parent CD133-positive cell will divide into a CD133-positive and a CD133-negative cell(3). In addition, the discovery that circulating tumor cells (a rare population of circulating cells in the blood) can be prognostic of outcome in cancer such as inflammatory breast cancer(4), it is ever more important to develop methods to analyze single cell populations.

Harvard University researchers, Dr. Chenghang Zong, Sijia Lu, Alec Chapman and Sunney Xie developed a new amplification method utilizing multiple annealing and looping-based amplification cycles (MALBAC)(1).   A quasilinear preamplification process is used on pictograms of DNA genomic fragments (form 10 to 100 kb) isolated from a single cell.   This is performed to reduce the bias associated with nonlinear DNA amplification.  A series of random primers (which the authors termed MALBAC primers, constructed with a common sequence tags) are annealed at low temperature (0 °C). PCR rounds produce semiamplicons.  Further rounds of amplification, after a step of looping the amplicons, result in full amplicons with complementary ends.  When the two ends hybridize to form the looped DNA, this prevents use of this loop structure as a template, therefore leading to a close-to–linear amplification.    The process allows for a higher fidelity of DNA replication and the ability to amplify a whole genome.  The amplicons are then sequenced either by whole-genome sequencing methods using Sanger-sequencing to verify any single nucleotide polymorphisms.  This procedure of MALBAC-amplification resulted in coverage of 85-93% of the genome of a single cell.

As proof of principle, the authors used MALBAC to amplify the DNA of single SW480 cancer cells (picked from a clonally expanded population of a heterogeneous population (the bulk DNA).  Comparison of the MALBAC method versus the MDA method revealed copy number variations (CNV) between three individual cells, which had been picked from the clonally expanded pool. Their results were in agreement with karyotyping studies on the SW480 cell line.  Meticulous quality controls were performed to limit contamination, high false positive rates of SNV detection due to amplification bias, and false positives due to amplification or sequencing errors.

Interestingly, the authors found 35 unique single nucleotide variations which h had occurred from 20 cell divisions from a single SW480 cancer cell.  This resulted in an estimated 49 mutations which occurred in 20 generations, yielding a mutation rate of 2.5 nucleotides per generation.  In addition, the authors were able to map some of these mutations on various chromosomes and perform next-gen sequencing (deep sequencing) to verify the nucleotide mutations and found an unusually high purine-pyrimidine exchange rate.

In a subsequent paper, investigators from the same group at Harvard used this technology to sequence 99 sperm cells from a single individual to study genetic diversity created during meiotic recombination, a mechanism involved in evolution and development(5).

Reference:

1.            Zong, C., Lu, S., Chapman, A. R., and Xie, X. S. (2012) Science 338, 1622-1626

2.            Cooke, S. L., Temple, J., Macarthur, S., Zahra, M. A., Tan, L. T., Crawford, R. A., Ng, C. K., Jimenez-Linan, M., Sala, E., and Brenton, J. D. (2011) British journal of cancer 104, 361-368

3.            Guo, R., Wu, Q., Liu, F., and Wang, Y. (2011) Oncology reports 25, 141-146

4.            Giuliano, M., Giordano, A., Jackson, S., Hess, K. R., De Giorgi, U., Mego, M., Handy, B. C., Ueno, N. T., Alvarez, R. H., De Laurentiis, M., De Placido, S., Valero, V., Hortobagyi, G. N., Reuben, J. M., and Cristofanilli, M. (2011) Breast cancer research : BCR 13, R67

5.            Lu, S., Zong, C., Fan, W., Yang, M., Li, J., Chapman, A. R., Zhu, P., Hu, X., Xu, L., Yan, L., Bai, F., Qiao, J., Tang, F., Li, R., and Xie, X. S. (2012) Science 338, 1627-1630

Other related posts on this website regarding Cancer and Genomics include:

 

Cancer Genomics – Leading the Way by Cancer Genomics Program at UC Santa Cruz

 

Identifying Aggressive Breast Cancers by Interpreting the Mathematical Patterns in the Cancer Genome

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Reporter: Aviva Lev-Ari, PhD, RN

 

02/01/2013
Ashley Yeager

For the first time, scientists have identified all the proteins in the mitochondrial matrix, which is where the cell’s energy is generated. How? Find out…

 

Between the maze-like inner membranes of the mitochondria, there’s a thick, sticky region called the matrix. This region serves an important role in the generation of the cell’s energy, but the proteins that actually make up this matrix have remained a mystery. But now, researchers at the Massachusetts Institute of Technology (MIT) have catalogued all the proteins in the mitochondrial matrix, identifying 31 proteins not previously associated with mitochondria. They did this by combining the strengths of two methods: microscopy and mass spectrometry.

 

Electron microscopy of human embryonic kidney cells expressing mito-APEX. Credit: Alice Ting, MIT

“This method is really a new paradigm for doing mass spec proteomics because we’re recording proteomics in living cells,” said Alice Ting, a chemist at MIT and author of a paper published online yesterday in Science that describes the technique (1).Microscopy and mass spectrometry are valuable for studying proteins, but each has its drawbacks. While microscopy can show where a protein is located within a cell, it can only do so for a small number of a cell’s roughly 20,000 proteins at once. Meanwhile, mass spectrometry can identify all the proteins within a cell, but destroys the cell membrane in the process of releasing the cell’s contents, resulting in a mixture of proteins from different cell regions and organelles.

To overcome these limitations, Ting’s group genetically engineered the mitochondrial matrix to express a newly designed peroxidase called APEX. When biotin-phenol was added to these cells, APEX stripped an electron and a proton from the biotin molecule, creating highly reactive biotin-phenoxyl radicals. These radicals quickly bound to nearby proteins to stabilize themselves, effectively tagging the proteins in the matrix.

The scientists then identified these tagged proteins with fluorescent imaging, dissolved the cell membrane, and isolated the proteins from the mitochondrial matrix. Using mass spectrometry, the team then identified 495 proteins in the mitochondrial matrix, 31 of which had not been previously linked to the mitochondrial region.

One of the biggest surprises was the discovery that the enzyme PPOX is in the matrix. PPOX helps synthesize heme, the pigment in red blood cells and a cofactor of the protein hemoglobin. Previously, biologists believed that PPOX was located within the space between the outer and inner membranes of the mitochondria, but Ting’s team found that it was actually within the matrix, which the team said is an example of how locally precise their biotin-tagging technique is.

Now, Ting and her team are looking at proteins in the mitochondrial intermembrane space. In addition, the researchers are tweaking their labeling system to map proteins in the cell membrane and to detect specific protein-protein interactions.

Reference

1. Rhee, H.-W., P. Zou, N. D. Udeshi, J. D. Martell, V. K. Mootha, S. A. Carr, and A. Y. Ting. 2013. Proteomic mapping of mitochondria in living cells via spatially restricted enzymatic tagging. Science (January).

SOURCE:

http://www.biotechniques.com/news/biotechniquesNews/biotechniques-339645.html#.UQ37hRxiB0w

 

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Reporter: Aviva Lev-Ari, RN

With New Microfludic Technique, MIT Team Aims to ‘Squeeze’ siRNAs into Cells

January 31, 2013

Researchers from the Massachusetts Institute of Technology last week reported on the development of a new microfluidic-based approach to delivering macromolecules, including functional siRNAs, into cells without the need for a vector.

According to the investigators, who published their findings in the Proceedings of the National Academy of Sciences, the technique involves compressing cells by passing them through a constriction, which opens up temporary holes in their membranes that permit the diffusion of materials in surrounding buffer to enter the cytosol.

“By providing flexibility in application and obviating the need for exogenous materials or electrical fields, this method could potentially enable new avenues of disease research and treatment,” they wrote.

Although intracellular delivery of macromolecules is a key step in therapeutic and research applications, the cellular membrane is largely impermeable to such compounds, according to the PNAS paper. Existing methods to overcome this hurdle, which has proven to be a major stumbling block for RNAi drugs, typically involve the use of polymeric nanoparticles, liposomes, or chemical modifications of the target molecules to facilitate membrane poration or endocytotic delivery.

When it comes to nucleic acids, which are relatively structurally uniform, these approaches can be efficient. Still, the “endosome escape mechanism that most of these methods rely on is often inefficient; hence, much material remains trapped in endosomal and lysosomal vesicles,” the MIT team pointed out. “More effective gene delivery methods, such as viral vectors, however, often risk chromosomal integration.

Meantime, electroporation has proven effective, even in difficult to transfect primary cells, but has limited applicability and can cause cell death. Microinjection, too, has certain advantages in settings such as the creation of transgenic organisms, but its low throughput hamstrings many therapeutic and research applications, the researchers noted.

To overcome the limitations of existing delivery techniques, the MIT group had initially been attempting to “shoot” molecules of interest into cells, Armon Sharei, an MIT graduate student in chemical engineering and lead author of the PNAS paper, told Gene Silencing News.

“That system had its own challenges, and through the course of that work, we stumbled upon this effect where if you squeeze the cells rapidly enough, it will temporarily disrupt their membrane,” he said.

More specifically, the researchers found that the “rapid mechanical deformation of a cell, as it passes through a constriction with a minimum dimension smaller than the cell diameter, results in the formation of transient membrane disruptions or holes,” they wrote in PNAS. “The size and frequency of these holes would be a function of the shear and compressive forces experienced by the cell during its passage through the constriction. Material from the surrounding medium may then diffuse directly into the cell cytosol throughout the life span of these holes.”

To test this idea, the researchers constructed devices, each consisting of 45 identical, parallel microfluidic channels containing one or more constrictions, etched onto a silicon chip and sealed in glass. The width of each constriction ranged from 4 to 8 micrometers, and the lengths ranged from 10 to 40 micrometers.

“Before use, the device is first connected to a steel interface that connects the inlet and outlet reservoirs to the silicon device,” the researchers wrote. “A mixture of cells and the desired delivery material is then placed into the inlet reservoir and Teflon tubing is attached at the inlet. A pressure regulator is then used to adjust the pressure at the inlet reservoir and drive the cells through the device. Treated cells are collected from the outlet reservoir.”

The system was tested with a variety of molecules, including carbon nanotubes and proteins, as well as siRNAs targeting GFP. According to Sharei, when the siRNAs were delivered into GFP-expressing HeLa cells using the microfluidic platform, the investigators were able to achieve 80 to 90 percent target knockdown.

He noted that the knockdown effects weren’t as robust as with Lipofectamine 2000, but “we were still encouraged because something like Lipofectamine is known to be toxic and therefore inapplicable for humans.” Notably, the microfluidic device and operating parameters were not optimized for siRNAs, further limiting its ability to compete with the transfection reagent in these studies.

“The other good thing was that we seem to work just as well for primary cells, whereas existing methods like Lipofectamine don’t translate well once you start moving out of the standard cell models you have in the lab,” he added.

The MIT team also successfully delivered 3 kilodalton dextran molecules — which are approximately the same size as a standard siRNA molecule and a “pretty accurate” surrogate for the gene-silencing molecules — into newborn human foreskin fibroblasts, primary murine dendritic cells, and embryonic stem cells, suggesting that the method could be used with siRNAs into a variety of cell types, Sharei said.

Buoyed by the positive data, he and his colleagues are now further testing the platform with siRNAs against “easy readout genes” in primary cells including immune cells and stem cells, he said. “Once we establish that, we’d try to go for an application where there’s an siRNA that’s going to knock down something functional.

“I can’t say exactly what we’ve been up to because it’s not published, but it has been going pretty well,” he added.

Ultimately, the MIT group aims to develop the microfluidic platform not only for research applications, where it could be “incorporated into a larger integrated system consisting of multiple pre-treatment and post-treatment modules” that could take advantage of its average throughput rate of 20,000 cells a second, but also therapeutic ones, too.

A number of investigational stem cell-based therapies, for instance, involve the ex vivo manipulation of the cells, Sharei said. The delivery platform could theoretically be used to “enhance or facilitate that manipulation.”

“Such an approach would take advantage of the potentially increased delivery efficiency of therapeutic macro- molecules and could be safer than existing techniques because it would obviate the need for potentially toxic vector particles and would mitigate any potential side effects associated with reticuloendothelial clearance and off-target delivery,” the study authors wrote in PNAS.

Doug Macron is the editor of GenomeWeb’s Gene Silencing News. He covers research and therapeutic applications of RNAi, miRNA, and other gene-silencing technologies. E-mail Doug Macron or follow his GenomeWeb Twitter account at@Genesilencing.

 

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