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Myonuclear transcriptional dynamics in response to exercise following satellite cell depletion.
Wen, Yuan; Englund, Davis A; Peck, Bailey D; Murach, Kevin A; McCarthy, John J; Peterson, Charlotte A.
Afiliação
  • Wen Y; Department of Physical Therapy, College of Health Sciences, University of Kentucky, 900 S. Limestone, Lexington, KY 40536-0200, USA.
  • Englund DA; Center for Muscle Biology, University of Kentucky, Lexington, KY, USA.
  • Peck BD; Department of Physical Therapy, College of Health Sciences, University of Kentucky, 900 S. Limestone, Lexington, KY 40536-0200, USA.
  • Murach KA; Center for Muscle Biology, University of Kentucky, Lexington, KY, USA.
  • McCarthy JJ; Department of Physical Therapy, College of Health Sciences, University of Kentucky, 900 S. Limestone, Lexington, KY 40536-0200, USA.
  • Peterson CA; Center for Muscle Biology, University of Kentucky, Lexington, KY, USA.
iScience ; 24(8): 102838, 2021 Aug 20.
Article em En | MEDLINE | ID: mdl-34368654
Skeletal muscle is composed of post-mitotic myofibers that form a syncytium containing hundreds of myonuclei. Using a progressive exercise training model in the mouse and single nucleus RNA-sequencing (snRNA-seq) for high-resolution characterization of myonuclear transcription, we show myonuclear functional specialization in muscle. After 4 weeks of exercise training, snRNA-seq reveals that resident muscle stem cells, or satellite cells, are activated with acute exercise but demonstrate limited lineage progression while contributing to muscle adaptation. In the absence of satellite cells, a portion of nuclei demonstrates divergent transcriptional dynamics associated with mixed-fate identities compared with satellite cell replete muscles. These data provide a compendium of information about how satellite cells influence myonuclear transcription in response to exercise.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2021 Tipo de documento: Article