Small-RNA sequencing identifies dynamic microRNA deregulation during skeletal muscle lineage progression - Sorbonne Université
Article Dans Une Revue Scientific Reports Année : 2018

Small-RNA sequencing identifies dynamic microRNA deregulation during skeletal muscle lineage progression

Résumé

Skeletal muscle satellite cells are quiescent adult resident stem cells that activate, proliferate and differentiate to generate myofibres following injury. They harbour a robust proliferation potential and self-renewing capacity enabling lifelong muscle regeneration. Although several classes of microRNAs were shown to regulate adult myogenesis, systematic examination of stage-specific microRNAs during lineage progression from the quiescent state is lacking. Here we provide a genome-wide assessment of the expression of small RNAs during the quiescence/activation transition and differentiation by RNA-sequencing. We show that the majority of small RNAs present in quiescent, activated and differentiated muscle cells belong to the microRNA class. Furthermore, by comparing expression in distinct cell states, we report a massive and dynamic regulation of microRNAs, both in numbers and amplitude, highlighting their pivotal role in regulation of quiescence, activation and differentiation. We also identify a number of microRNAs with reliable and specific expression in quiescence including several maternally-expressed miRNAs generated at the imprinted Dlk1-Dio3 locus. Unexpectedly, the majority of class-switching miRNAs are associated with the quiescence/activation transition suggesting a poised program that is actively repressed. These data constitute a key resource for functional analyses of miRNAs in skeletal myogenesis, and more broadly, in the regulation of stem cell self-renewal and tissue homeostasis.
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hal-01744478 , version 1 (27-03-2018)

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David Castel, Meryem B Baghdadi, Sébastien Mella, Barbara Gayraud-Morel, Virginie Marty, et al.. Small-RNA sequencing identifies dynamic microRNA deregulation during skeletal muscle lineage progression. Scientific Reports, 2018, 8, pp.4208. ⟨10.1038/s41598-018-21991-w⟩. ⟨hal-01744478⟩
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