PXD041789-1

PXD041789 is an original dataset announced via ProteomeXchange.

Title	Proteomic quantification of native and ECM-enriched mouse ovaries reveals an age-dependent fibro-inflammatory signature
Description	The ovarian microenvironment becomes fibrotic and stiff with age due in part to increased stromal collagen and decreased hyaluronan. However, the extracellular matrix (ECM) is a complex network of hundreds of proteins, glycoproteins and glycans which are highly tissue specific and undergo pronounced changes with age. We used a label-free quantitative proteomic methodology to obtain an unbiased and comprehensive protein profile of age-associated alterations of the mammalian ovarian proteome. We analyzed ovaries from reproductively young and old mice using both native and ECM-enriched tissues to specifically interrogate the extracellular matrix. We optimized and validated conditions to enrich for the ECM prior to proteomic analysis and determined that treatment of ovaries with 0.1% SDS for 12.5 hours efficiently removed nuclear material, while maintaining the integrity of the ECM. Following the analysis by data-independent acquisition (DIA), both native and ECM-enriched samples clustered separately based on age, indicating that ovaries from reproductively young and old mice feature clearly distinct proteomic signatures. We identified a total of 4,721 proteins and 383 proteins that are significantly-altered with advanced reproductive age, including key ECM proteins. In addition to ECM proteins, immunoglobulins, proteins that regulate metal homeostasis, and tumor suppressors were highly upregulated with age, whereas downregulated proteins were consistent with the age-dependent decline in fertility. Pathways regulating genomic instability and proteostasis were downregulated with age. Biological processes associated with immune function and ECM remodeling were upregulated with age. These findings provide evidence from a proteomic perspective that the aging ovary provides a fibroinflammatory milieu, and our study suggests target proteins which may drive these age-associated phenotypes for future investigation.
HostingRepository	MassIVE
AnnounceDate	2023-12-18
AnnouncementXML	Submission_2023-12-18_15:02:25.905.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Christina King
SpeciesList	scientific name: Mus musculus; common name: house mouse; NCBI TaxID: 10090;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Exploris 480

Revision	Datetime	Status	ChangeLog Entry
0	2023-04-24 14:57:28	ID requested
⏵ 1	2023-12-18 15:02:26	announced

Dipali SS, King CD, Rose JP, Burdette JE, Campisi J, Schilling B, Duncan FE, Proteomic quantification of native and ECM-enriched mouse ovaries reveals an age-dependent fibro-inflammatory signature. Aging (Albany NY), 15(20):10821-10855(2023) [pubmed]

submitter keyword: reproductive aging, ovary, proteomics, extracellular matrix, matrisome, data-independent acquisition

Birgit Schilling
contact affiliation	Buck Institute
contact email	bschilling@buckinstitute.org
lab head
Christina King
contact affiliation	Buck Institute for Research on Aging
contact email	cking@buckinstitute.org
dataset submitter

MassIVE dataset URI

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