Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training

Research output: Contribution to journalJournal articlepeer-review

Standard

Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training. / Deshmukh, Atul Shahaji; Steenberg, Dorte Enggaard; Hostrup, Morten; Birk, Jesper Bratz; Larsen, Jeppe Kjærgaard; Santos, A.; Kjøbsted, Rasmus; Hingst, Janne Rasmuss; Schéele, Camilla Charlotte; Murgia, Marta; Kiens, Bente; Richter, Erik A.; Mann, Matthias; Wojtaszewski, Jørgen.

In: Nature Communications, Vol. 12, 304, 2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Deshmukh, AS, Steenberg, DE, Hostrup, M, Birk, JB, Larsen, JK, Santos, A, Kjøbsted, R, Hingst, JR, Schéele, CC, Murgia, M, Kiens, B, Richter, EA, Mann, M & Wojtaszewski, J 2021, 'Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training', Nature Communications, vol. 12, 304. https://doi.org/10.1038/s41467-020-20556-8

APA

Deshmukh, A. S., Steenberg, D. E., Hostrup, M., Birk, J. B., Larsen, J. K., Santos, A., Kjøbsted, R., Hingst, J. R., Schéele, C. C., Murgia, M., Kiens, B., Richter, E. A., Mann, M., & Wojtaszewski, J. (2021). Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training. Nature Communications, 12, [304]. https://doi.org/10.1038/s41467-020-20556-8

Vancouver

Deshmukh AS, Steenberg DE, Hostrup M, Birk JB, Larsen JK, Santos A et al. Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training. Nature Communications. 2021;12. 304. https://doi.org/10.1038/s41467-020-20556-8

Author

Deshmukh, Atul Shahaji ; Steenberg, Dorte Enggaard ; Hostrup, Morten ; Birk, Jesper Bratz ; Larsen, Jeppe Kjærgaard ; Santos, A. ; Kjøbsted, Rasmus ; Hingst, Janne Rasmuss ; Schéele, Camilla Charlotte ; Murgia, Marta ; Kiens, Bente ; Richter, Erik A. ; Mann, Matthias ; Wojtaszewski, Jørgen. / Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training. In: Nature Communications. 2021 ; Vol. 12.

Bibtex

@article{81b42cd89fc54bfeb2aa6cc63a1a373c,
title = "Deep muscle-proteomic analysis of freeze-dried human muscle biopsies reveals fiber type-specific adaptations to exercise training",
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.",
author = "Deshmukh, {Atul Shahaji} and Steenberg, {Dorte Enggaard} and Morten Hostrup and Birk, {Jesper Bratz} and Larsen, {Jeppe Kj{\ae}rgaard} and A. Santos and Rasmus Kj{\o}bsted and Hingst, {Janne Rasmuss} and Sch{\'e}ele, {Camilla Charlotte} and Marta Murgia and Bente Kiens and Richter, {Erik A.} and Matthias Mann and J{\o}rgen Wojtaszewski",
note = "A correction to this has been published at: https://doi.org/10.1038/s41467-021-22015-4",
year = "2021",
doi = "10.1038/s41467-020-20556-8",
language = "English",
volume = "12",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",

}

RIS

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 -

ID: 255166663