PXD036532 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Proteome profiles of skeletal muscle connective tissue: Influence of aging and physical training |
Description | Both aging and physical activity can influence the amount of connective tissue in skeletal muscle, but the impact of these upon specific extracellular matrix (ECM) proteins in skeletal muscle is unknown. We investigated the proteome profile of connective tissue in skeletal muscle by label-free proteomic analysis of on cellular protein-depleted extracts from lateral gastrocnemius muscle of old (22-23 months old) and middle-aged mice (11 months old) subjected to three different levels of regular physical activity for 10 weeks (high resistance wheel running, low resistance wheel running or sedentary controls). We hypothesized that aging is correlated with increased amount of connective tissue proteins in skeletal muscle, and that regular physical activity can counteract these age-related changes. We found that dominating cellular proteins were diminished in the urea/thiourea extract, which was therefore used for proteomics. Proteomic analysis identified 482 proteins and showed enrichment for ECM proteins. Statistical analysis revealed that the abundances of 86 proteins were changed with age. Twenty-three of these differentially abundant proteins were identified as structural ECM proteins (e.g., collagens and laminins) and all of these were significantly more abundant with aging. No significant effect of training or interaction between training and advance in age was found for any proteins. Finally, we found a lower protein concentration in the urea/thiourea extracts from the old compared to middle-aged mice. These findings indicate that intramuscular connective tissue alters its protein content with age but is unaffected by training. |
HostingRepository | PRIDE |
AnnounceDate | 2023-11-14 |
AnnouncementXML | Submission_2023-11-14_08:45:16.308.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Richard Wilson |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | monohydroxylated residue; iodoacetamide derivatized residue |
Instrument | Q Exactive HF |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-09-05 09:49:45 | ID requested | |
1 | 2023-04-26 18:14:59 | announced | |
⏵ 2 | 2023-11-14 08:45:18 | announced | 2023-11-14: Updated project metadata. |
Publication List
Yeung CC, Olesen AT, Wilson R, Lamand, é SR, Bateman JF, Svensson RB, Magnusson SP, Kjaer M, Proteome profiles of intramuscular connective tissue: influence of aging and physical training. J Appl Physiol (1985), 134(5):1278-1286(2023) [pubmed] |
Keyword List
submitter keyword: intramuscular connective tissue, proteomics, exercise, skeletal muscle,aging, extracellular matrix |
Contact List
Dr Richard Wilson |
contact affiliation | Proteomics facility, Central Science Laboratory, University of Tasmania |
contact email | richard.wilson@utas.edu.au |
lab head | |
Richard Wilson |
contact affiliation | University of Tasmania |
contact email | richard.wilson@utas.edu.au |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD036532
- Label: PRIDE project
- Name: Proteome profiles of skeletal muscle connective tissue: Influence of aging and physical training