TY - JOUR
T1 - Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training
AU - Deshmukh, Atul Shahaji
AU - Steenberg, Dorte Enggaard
AU - Hostrup, Morten
AU - Birk, Jesper Bratz
AU - Larsen, Jeppe Kjærgaard
AU - Santos, A.
AU - Kjøbsted, Rasmus
AU - Hingst, Janne Rasmuss
AU - Schéele, Camilla Charlotte
AU - Murgia, Marta
AU - Kiens, Bente
AU - Richter, Erik A.
AU - Mann, Matthias
AU - Wojtaszewski, Jørgen
N1 - A correction to this has been published at: https://doi.org/10.1038/s41467-021-22015-4
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
U2 - 10.1038/s41467-020-20556-8
DO - 10.1038/s41467-020-20556-8
M3 - Journal article
C2 - 33436631
VL - 12
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
M1 - 304
ER -