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Epigenetic Regulation of Skeletal Muscle Development and Differentiation

  • Narendra Bharathy
  • Belinda Mei Tze Ling
  • Reshma TanejaEmail author
Part of the Subcellular Biochemistry book series (SCBI, volume 61)

Abstract

Skeletal muscle cells have served as a paradigm for understanding mechanisms leading to cellular differentiation. Formation of skeletal muscle involves a series of steps in which cells are commited towards the myogenic lineage, undergo expansion to give rise to myoblasts that differentiate into multinucleated myotubes, and mature to form adult muscle fibers. The commitment, proliferation, and differentiation of progenitor cells involve both genetic and epigenetic changes that culminate in alterations in gene expression. Members of the Myogenic regulatory factor (MRF), as well as the Myocyte Enhancer Factor (MEF2) families control distinct steps of skeletal muscle proliferation and differentiation. In addition, ­growing evidence indicates that chromatin modifying enzymes and remodeling complexes epigenetically reprogram muscle promoters at various stages that preclude or promote MRF and MEF2 activites. Among these, histone deacetylases (HDACs), histone acetyltransferases (HATs), histone methyltransferases (HMTs) and SWI/SNF complexes alter chromatin structure through post-translational modifications to impact MRF and MEF2 activities. With such new and emerging knowledge, we are beginning to develop a true molecular understanding of the mechanisms by which skeletal muscle development and differentiation is regulated. Elucidation of the mechanisms by which epigenetic regulators control myogenesis will likely provide a new foundation for the development of novel therapeutic drugs for muscle dystrophies, ageing-related regeneration defects that occur due to altered proliferation and differentiation, and other malignancies.

Keywords

Satellite Cell HDAC Inhibitor Anacardic Acid Myogenic Regulatory Factor MyoD Expression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Narendra Bharathy
    • 1
  • Belinda Mei Tze Ling
    • 1
  • Reshma Taneja
    • 1
    • 2
    Email author
  1. 1.Department of Physiology, Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
  2. 2.NUS Graduate School of Integrative Sciences and EngineeringSingaporeSingapore

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