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Corchado, A. H.

Publications and source records attributed to Corchado, A. H..

2 recordsLinked to original sources

Myf6/MRF4 is a Myogenic Niche Regulator Required for the Maintenance of the Muscle Stem Cell Pool

In metazoans, skeletal muscle evolved to contract and produce force. However, recent experimental evidence suggests that skeletal muscle has also acquired endocrine functions and produces a vast array of myokines. Using ChIP-Seq and gene expression analyses of myogenic factors, we show that Myf6/MRF4 transcriptionally regulates a broad spectrum of myokines and muscle-secreted proteins, including ligands for downstream activation of key signaling pathways such as EGFR, STAT3 and VEGFR. Homozygous deletion of Myf6 causes a significant reduction in the ability of muscle to produce key myokines such as EGF, VEGFA and LIF. Consequently, although Myf6 knockout mice are born with a normal muscle stem cell compartment, they undergo progressive reduction in their stem cell pool during postnatal life. Mechanistically, muscle stem cells from the Myf6 knockout animals show defects in activation of EGFR and STAT3 signaling, upregulate the p38 MAP kinase pathway and spontaneously break from quiescence. Exogenous application of recombinant EGF and LIF rescue the defects in the muscle stem cell pool of Myf6 knockout animals. Finally, skeletal muscles of mice lacking Myf6 have a significantly reduced ability to sustain donor-engrafted muscle stem cells. Taken together, our data uncovers a novel role for Myf6 in regulating the expression of niche factors and myokines to maintain the skeletal muscle stem cell pool in adult mice.

genetics

A DNA recognition code for probing the in vivo functions of zinc finger transcription factors at domain resolution

Multi-zinc finger proteins constitute the largest class of human transcription factors. Their DNA-binding specificity is usually encoded by a subset of their tandem Cys2His2 zinc finger (ZF) domains - the subset that binds to DNA, however, is often unknown. Here, by combining a context-aware machine-learning-based model of DNA recognition with in vivo binding data, we characterize the sequence preferences and the ZF subset that is responsible for DNA binding in 209 human multi-ZF proteins. We show that in vivo DNA binding is primarily driven by [~]50% of the ZFs - these DNA-binding ZFs are under strong selective pressure within and across species, and their mutations affect the expression of hundreds of genes as revealed by pan-cancer trans-eQTL analysis across 18 tissues. Among the genes affected by mutations in multi-ZF proteins, we identify several oncogenic factors regulated by SP1, and show that SP1 up-regulation in cancer promotes the expression of these genes while mutations in SP1 ZFs lead to their repression. Together, these analyses suggest that mutations in DNA-binding ZFs have distinct and widespread regulatory consequences that contribute to transcriptome remodelling in cancer.

bioinformatics