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Dynamic enhancers control skeletal muscle identity and reprogramming

Skeletal muscles consist of fibers of differing metabolic activities and contractility, which become remodeled in response to chronic exercise, but the epigenomic basis for muscle identity and adaptation remains poorly understood. Here, we used chromatin immunoprecipitation sequencing of dimethylate...

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Autores principales: Ramachandran, Krithika, Senagolage, Madhavi D., Sommars, Meredith A., Futtner, Christopher R., Omura, Yasuhiro, Allred, Amanda L., Barish, Grant D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799888/
https://www.ncbi.nlm.nih.gov/pubmed/31589602
http://dx.doi.org/10.1371/journal.pbio.3000467
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author Ramachandran, Krithika
Senagolage, Madhavi D.
Sommars, Meredith A.
Futtner, Christopher R.
Omura, Yasuhiro
Allred, Amanda L.
Barish, Grant D.
author_facet Ramachandran, Krithika
Senagolage, Madhavi D.
Sommars, Meredith A.
Futtner, Christopher R.
Omura, Yasuhiro
Allred, Amanda L.
Barish, Grant D.
author_sort Ramachandran, Krithika
collection PubMed
description Skeletal muscles consist of fibers of differing metabolic activities and contractility, which become remodeled in response to chronic exercise, but the epigenomic basis for muscle identity and adaptation remains poorly understood. Here, we used chromatin immunoprecipitation sequencing of dimethylated histone 3 lysine 4 and acetylated histone 3 lysine 27 as well as transposase-accessible chromatin profiling to dissect cis-regulatory networks across muscle groups. We demonstrate that in vivo enhancers specify muscles in accordance with myofiber composition, show little resemblance to cultured myotube enhancers, and identify glycolytic and oxidative muscle-specific regulators. Moreover, we find that voluntary wheel running and muscle-specific peroxisome proliferator–activated receptor gamma coactivator-1 alpha (Pgc1a) transgenic (mTg) overexpression, which stimulate endurance performance in mice, result in markedly different changes to the epigenome. Exercise predominantly leads to enhancer hypoacetylation, whereas mTg causes hyperacetylation at different sites. Integrative analysis of regulatory regions and gene expression revealed that exercise and mTg are each associated with myocyte enhancer factor (MEF) 2 and estrogen-related receptor (ERR) signaling and transcription of genes promoting oxidative metabolism. However, exercise was additionally associated with regulation by retinoid X receptor (RXR), jun proto-oncogene (JUN), sine oculis homeobox factor (SIX), and other factors. Overall, our work defines the unique enhancer repertoires of skeletal muscles in vivo and reveals that divergent exercise-induced or PGC1α-driven epigenomic programs direct partially convergent transcriptional networks.
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spelling pubmed-67998882019-10-25 Dynamic enhancers control skeletal muscle identity and reprogramming Ramachandran, Krithika Senagolage, Madhavi D. Sommars, Meredith A. Futtner, Christopher R. Omura, Yasuhiro Allred, Amanda L. Barish, Grant D. PLoS Biol Methods and Resources Skeletal muscles consist of fibers of differing metabolic activities and contractility, which become remodeled in response to chronic exercise, but the epigenomic basis for muscle identity and adaptation remains poorly understood. Here, we used chromatin immunoprecipitation sequencing of dimethylated histone 3 lysine 4 and acetylated histone 3 lysine 27 as well as transposase-accessible chromatin profiling to dissect cis-regulatory networks across muscle groups. We demonstrate that in vivo enhancers specify muscles in accordance with myofiber composition, show little resemblance to cultured myotube enhancers, and identify glycolytic and oxidative muscle-specific regulators. Moreover, we find that voluntary wheel running and muscle-specific peroxisome proliferator–activated receptor gamma coactivator-1 alpha (Pgc1a) transgenic (mTg) overexpression, which stimulate endurance performance in mice, result in markedly different changes to the epigenome. Exercise predominantly leads to enhancer hypoacetylation, whereas mTg causes hyperacetylation at different sites. Integrative analysis of regulatory regions and gene expression revealed that exercise and mTg are each associated with myocyte enhancer factor (MEF) 2 and estrogen-related receptor (ERR) signaling and transcription of genes promoting oxidative metabolism. However, exercise was additionally associated with regulation by retinoid X receptor (RXR), jun proto-oncogene (JUN), sine oculis homeobox factor (SIX), and other factors. Overall, our work defines the unique enhancer repertoires of skeletal muscles in vivo and reveals that divergent exercise-induced or PGC1α-driven epigenomic programs direct partially convergent transcriptional networks. Public Library of Science 2019-10-07 /pmc/articles/PMC6799888/ /pubmed/31589602 http://dx.doi.org/10.1371/journal.pbio.3000467 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Methods and Resources
Ramachandran, Krithika
Senagolage, Madhavi D.
Sommars, Meredith A.
Futtner, Christopher R.
Omura, Yasuhiro
Allred, Amanda L.
Barish, Grant D.
Dynamic enhancers control skeletal muscle identity and reprogramming
title Dynamic enhancers control skeletal muscle identity and reprogramming
title_full Dynamic enhancers control skeletal muscle identity and reprogramming
title_fullStr Dynamic enhancers control skeletal muscle identity and reprogramming
title_full_unstemmed Dynamic enhancers control skeletal muscle identity and reprogramming
title_short Dynamic enhancers control skeletal muscle identity and reprogramming
title_sort dynamic enhancers control skeletal muscle identity and reprogramming
topic Methods and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6799888/
https://www.ncbi.nlm.nih.gov/pubmed/31589602
http://dx.doi.org/10.1371/journal.pbio.3000467
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