Description
Skeletal muscle has an enormous plastic potential to adapt to various external and internal
perturbations. While morphological changes in endurance-trained muscles are well-described,
the molecular underpinnings of training adaptation are poorly understood. We aimed at
defining the molecular signature of a trained muscle and unraveling the training status-
dependent responses to an acute bout of exercise. Our results reveal that even though at
baseline, the transcriptomes of trained and untrained muscles are very similar, training status
substantially affects the transcriptional response to an acute challenge, both quantitatively and
qualitatively, in part mediated by epigenetic modifications. Furthermore, proteomic changes
were elicited by different transcriptional modalities. Finally, transiently activated factors such
as the peroxisome proliferator-activated receptor gamma coactivator 1alpha (PGC-1alpha) are indispensable
for normal training adaptation. Together, these results provide a molecular framework of the
temporal and training status-dependent exercise response that defines muscle plasticity in
training.
[doi:10.25345/C5RV0D98T]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: exercise ; training ; transcription ; epigenetic modifications ; skeletal muscle ; PGC- 1alpha
Contact
Principal Investigators:
(in alphabetical order)
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Alexander Schmidt, Biozentrum, Universtiy of Basel, 4056 Basel, Switzerland, N/A
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verizy27
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Originally identified proteins that were automatically
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SwissProt
human reference database.
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Number of distinct proteins quantified across all analyses (original submission and reanalyses)
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
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Number of distinct proteins found to be differentially abundant in at least one comparison
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A protein is differentially abundant if its change in abundance across conditions is found
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with statistical tests for differential abundance.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE.
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consist solely of processed peak lists suitable for reanalysis with most software.