Modulation of the JAK2-STAT3 pathway promotes expansion and maturation of human iPSCs-derived myogenic progenitor cells.

Generation of induced pluripotent cells (hiPSCs)-derived skeletal muscle progenitor cells (SMPCs) holds great promise for regenerative medicine for skeletal muscle wasting diseases, as for example Duchenne Muscular Dystrophy (DMD). Multiple approaches, involving ectopic expression of key regulatory myogenic genes or small molecules cocktails, have been described by different groups to obtain SMPC towards cell-transplantation as a therapeutic approach to skeletal muscle diseases. However, hiPSCs-derived SMPC generated using transgene-free protocols are usually obtained in a low amount and resemble a more embryonal/fetal stage of differentiation.

E-box independent chromatin recruitment turns MYOD into a transcriptional repressor.

MYOD is an E-box sequence-specific basic Helix-Loop-Helix (bHLH) transcriptional activator that, when expressed in non-muscle cells, induces nuclear reprogramming toward skeletal myogenesis by promoting chromatin accessibility at previously silent loci. Here, we report on the identification of a previously unrecognized property of MYOD as repressor of gene expression, via E-box-independent chromatin binding within accessible genomic elements, which invariably leads to reduced chromatin accessibility. MYOD-mediated repression requires the integrity of functional domains previously implicated in MYOD-mediated activation of gene expression.

Profiling CARD14 gene expression in Indian Psoriasis patients.

Several Genome Wide linkage Studies on psoriasis performed to gain insight of genetic architecture of the disease. Caspase Recruitment Domain-containing family 14 (CARD14) also known as CARMA2 or BIMP2; cytogenic location: 17q25.3, is a scaffold protein that primarily controls the skin epidermis's nuclear factor kB (NF-kB) signaling pathway activity in skin epidermis, a master gene for inflammation, has been shown to be linked with rare, heritable form of psoriasis.

Tobacco use, cirrhosis, and age are predictors of readiness to change and continued drinking following brief alcohol intervention in veterans.

Alcohol use disorder is prevalent within the Veterans Health System, especially in patients being seen in hepatology clinics, and needs a point-of-care strategy. A brief alcohol intervention based on AUDIT-C (Alcohol Use Disorders Identification Test) may be needed for the management of hazardous alcohol intake, but feasibility is unclear. We aimed to define predictors of readiness to cease alcohol intake (0-10, 10 being ready to quit now) and continued drinking after using a brief alcohol intervention in veterans seen in hepatology clinics cross-sectionally and longitudinally over 6 months.

Overcoming artificial structures in resolution-enhanced Hi-C data by signal decomposition and multi-scale attention.

Computational enhancement is an important strategy for inferring high-resolution features from genome-wide chromosome conformation capture (Hi-C) data, which typically have limited resolution. Deep learning has been highly successful in this task but we show that it creates prevalent artificial structures in the enhanced data due to the need to divide the large contact matrix into small patches. In addition, previous deep learning methods largely focus on local patterns, which cannot fully capture the complexity of Hi-C data.