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, Ca2+ 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.

Highlights

  • Skeletal muscle conveys several of the health-promoting effects of exercise; yet the underlying mechanisms are not fully elucidated

  • Contrary to previous proteomic studies investigating the effects of training on a whole-muscle level[11,12,13,14], our comprehensive analysis of the proteome in both slow and fast fibers, as well as their adaptation to exercise training provides a valuable resource for exploring important proteins for muscle function and health

  • Pools of 31–35 typified slow- and fast-twitch fibers were prepared for proteomic analysis and glycogen measurements

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Summary

Introduction

Skeletal muscle conveys several of the health-promoting effects of exercise; yet the underlying mechanisms are not fully elucidated. Exercise training increased glycogen content in whole-muscle samples (+44%, p < 0.01) as well as in slow- (+134%, p = 0.06) and fast-twitch fibers (+97%, p = 0.1) (Fig. 1c). Statistical analysis returned 471 proteins that were significantly different between slow- and fast-twitch fibers (significance score ≤0.05; Fig. 2d and Supplementary Data 5).

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