Negative regulation of initial steps in skeletal myogenesis by mTOR and other kinases.

The transition from a committed progenitor cell to one that is actively differentiating represents a process that is fundamentally important in skeletal myogenesis. Although the expression and functional activation of myogenic regulatory transcription factors (MRFs) are well known to govern lineage commitment and differentiation, exactly how the first steps in differentiation are suppressed in a proliferating myoblast is much less clear. We used cultured mammalian myoblasts and an RNA interference library targeting 571 kinases to identify those that may repress muscle differentiation in proliferating myoblasts in the presence or absence of a sensitizing agent directed toward CDK4/6, a kinase previously established to impede muscle gene expression. We identified 55 kinases whose knockdown promoted myoblast differentiation, either independently or in conjunction with the sensitizer. A number of the hit kinases could be connected to known MRFs, directly or through one interaction node. Focusing on one hit, Mtor, we validated its role to impede differentiation in proliferating myoblasts and carried out mechanistic studies to show that it acts, in part, by a rapamycin-sensitive complex that involves Raptor. Our findings inform our understanding of kinases that can block the transition from lineage commitment to a differentiating state in myoblasts and offer a useful resource for others studying myogenic differentiation.

Potential pitfalls of mass spectrometry to uncover mutations in childhood soft tissue sarcoma: A report from the Children's Oncology Group.

Mass spectrometry-based methods have been widely applied - often as the sole method - to detect mutations in human cancer specimens. We applied this approach to 52 childhood soft tissue sarcoma specimens in an attempt to identify potentially actionable mutations. This analysis revealed that 25% of the specimens harbored high-confidence calls for mutated alleles, including a mutation encoding FLT3(I836M) that was called in four cases. Given the surprisingly high frequency and unusual nature of some of the mutant alleles, we carried out ultra-deep next generation sequencing to confirm them. We confirmed only three mutations, which encoded NRAS(A18T), JAK3(V722I) and MET(R970C) in three specimens. Beyond highlighting those mutations, our findings demonstrate potential pitfalls of primarily utilizing a mass spectrometry-based approach to broadly screen for DNA sequence variants in archived, clinical-grade tumor specimens. Duplicate mass spectrometric analyses and confirmatory next generation sequencing can help diminish false positive calls, but this does not ameliorate potential false negatives due in part to evaluating a limited panel of sequence variants.

A novel algorithm for simplification of complex gene classifiers in cancer.

The clinical application of complex molecular classifiers as diagnostic or prognostic tools has been limited by the time and cost needed to apply them to patients. Using an existing 50-gene expression signature known to separate two molecular subtypes of the pediatric cancer rhabdomyosarcoma, we show that an exhaustive iterative search algorithm can distill this complex classifier down to two or three features with equal discrimination. We validated the two-gene signatures using three separate and distinct datasets, including one that uses degraded RNA extracted from formalin-fixed, paraffin-embedded material. Finally, to show the generalizability of our algorithm, we applied it to a lung cancer dataset to find minimal gene signatures that can distinguish survival. Our approach can easily be generalized and coupled to existing technical platforms to facilitate the discovery of simplified signatures that are ready for routine clinical use.

Glycemic control promotes pancreatic beta-cell regeneration in streptozotocin-induced diabetic mice.

BACKGROUND: Pancreatic beta-cells proliferate following administration of the beta-cell toxin streptozotocin. Defining the conditions that promote beta-cell proliferation could benefit patients with diabetes. We have investigated the effect of insulin treatment on pancreatic beta-cell regeneration in streptozotocin-induced diabetic mice, and, in addition, report on a new approach to quantify beta-cell regeneration in vivo. METHODOLOGY/PRINCIPAL FINDINGS: Streptozotocin-induced diabetic were treated with either syngeneic islets transplanted under the kidney capsule or subcutaneous insulin implants. After either 60 or 120 days of insulin treatment, the islet transplant or insulin implant were removed and blood glucose levels monitored for 30 days. The results showed that both islet transplants and insulin implants restored normoglycemia in the 60 and 120 day treated animals. However, only the 120-day islet and insulin implant groups maintained euglycemia (<200 mg/dl) following discontinuation of insulin treatment. The beta-cell was significantly increased in all the 120 day insulin-treated groups (insulin implant, 0.69+/-0.23 mg; and islet transplant, 0.91+/-0.23 mg) compared non-diabetic control mice (1.54+/-0.25 mg). We also show that we can use bioluminescent imaging to monitor beta-cell regeneration in living MIP-luc transgenic mice. CONCLUSIONS/SIGNIFICANCE: The results show that insulin treatment can promote beta-cell regeneration. Moreover, the extent of restoration of beta-cell function and mass depend on the length of treatment period and overall level of glycemic control with better control being associated with improved recovery. Finally, real-time bioluminescent imaging can be used to monitor beta-cell recovery in living MIP-luc transgenic mice.