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Loci-specific histone acetylation profiles associated with transcriptional coactivator p300 during early myoblast differentiation

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Version 2 2018-07-30, 10:15
Version 1 2018-06-21, 18:20
journal contribution
posted on 2018-07-30, 10:15 authored by Saadia Khilji, Munerah Hamed, Jihong Chen, Qiao Li

Molecular regulation of stem cell differentiation is exerted through both genetic and epigenetic determinants over distal regulatory or enhancer regions. Understanding the mechanistic action of active or poised enhancers is therefore imperative for control of stem cell differentiation. Based on the genome-wide co-occurrence of different epigenetic marks in committed proliferating myoblasts, we have previously generated a 14-state chromatin state model to profile rexinoid-responsive histone acetylation in early myoblast differentiation. Here, we delineate the functional mode of transcription regulators during early myogenic differentiation using genome-wide chromatin state association. We define a role of transcriptional coactivator p300, when recruited by muscle master regulator MyoD, in the establishment and regulation of myogenic loci at the onset of myoblast differentiation. In addition, we reveal an enrichment of loci-specific histone acetylation at p300 associated active or poised enhancers, particularly when enlisted by MyoD. We provide novel molecular insights into the regulation of myogenic enhancers by p300 in concert with MyoD. Our studies present a valuable aptitude for driving condition-specific chromatin state or enhancers pharmacologically to treat muscle-related diseases and for the identification of additional myogenic targets and molecular interactions for therapeutic development.

Abbreviations: MRF: Muscle regulatory factor; HAT: Histone acetyltransferase; CBP: CREB-binding protein; ES: Embryonic stem; ATCC: American type culture collection; DM: Differentiation medium; DMEM: Dulbecco’s Modified Eagle Medium; GM: Growth medium; GO: Gene ontology; GREAT: Genomic regions enrichment of annotations tool; FPKM: Fragments per kilobase of transcript per million; GEO: Gene expression omnibus; MACS: Model-based analysis for ChIP-seq

Funding

This work was supported by an Operating Grant from the Natural Sciences and Engineering Research Council (#250174 to Q.L.), a Canada Graduate Scholarship from Natural Sciences and Engineering Research Council (to S.K.), and a scholarship from Umm Al-Qura University in Saudi Arabia (to M.H.); Funding for open access charge: Cancer Research Society.

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