Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training
Skeletal muscle conveys several of the health-promoting effects of exercise; yet the underlying mechanisms are not fully elucidated. Studying skeletal muscle is challenging due to its different fiber types and the presence of non-muscle cells. This can be circumvented by isolation of single muscle f...
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Veröffentlicht in: | Nature communications 2021-01, Vol.12 (1), p.304-304, Article 304 |
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Zusammenfassung: | Skeletal muscle conveys several of the health-promoting effects of exercise; yet the underlying mechanisms are not fully elucidated. Studying skeletal muscle is challenging due to its different fiber types and the presence of non-muscle cells. This can be circumvented by isolation of single muscle fibers. Here, we develop a workflow enabling proteomics analysis of pools of isolated muscle fibers from freeze-dried human muscle biopsies. We identify more than 4000 proteins in slow- and fast-twitch muscle fibers. Exercise training alters expression of 237 and 172 proteins in slow- and fast-twitch muscle fibers, respectively. Interestingly, expression levels of secreted proteins and proteins involved in transcription, mitochondrial metabolism, Ca
2+
signaling, and fat and glucose metabolism adapts to training in a fiber type-specific manner. Our data provide a resource to elucidate molecular mechanisms underlying muscle function and health, and our workflow allows fiber type-specific proteomic analyses of snap-frozen non-embedded human muscle biopsies.
Skeletal muscle conveys the beneficial effects of physical exercise but due to its heterogeneity, studying the effects of exercise on muscle fibres is challenging. Here, the authors carry out proteomic analysis of myofibres from freeze-dried muscle biopsies, show fibre-type specific changes in response to exercise, and show that the oxidative and glycolytic muscle fibers adapt differentially to exercise training. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-020-20556-8 |