PXD036532

PXD036532 is an original dataset announced via ProteomeXchange.

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

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.

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]

submitter keyword: intramuscular connective tissue, proteomics, exercise, skeletal muscle,aging, extracellular matrix

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

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PRIDE project URI

• PRIDE
  1. PXD036532
     1. Label: PRIDE project
     2. Name: Proteome profiles of skeletal muscle connective tissue: Influence of aging and physical training