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- W3118395864 abstract "Abstract 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." @default.
- W3118395864 created "2021-01-18" @default.
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- W3118395864 date "2021-01-12" @default.
- W3118395864 modified "2023-10-10" @default.
- W3118395864 title "Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training" @default.
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- W3118395864 doi "https://doi.org/10.1038/s41467-020-20556-8" @default.
- W3118395864 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7803955" @default.
- W3118395864 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33436631" @default.
- W3118395864 hasPublicationYear "2021" @default.
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