<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Isola JVV</submitter><funding>Global Consortium for Reproductive Longevity and Equality - GCRLE-4501</funding><funding>NIA NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Institute on Aging</funding><funding>ODCDC CDC HHS</funding><funding>Global Consortium for Reproductive Longevity and Equality - GCRLE-0523</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | NIH Office of the Director</funding><funding>Presbyterian Health Foundation</funding><funding>NIH HHS</funding><pagination>145-162</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10798902</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>4(1)</volume><pubmed_abstract>Ovarian aging leads to diminished fertility, dysregulated endocrine signaling and increased chronic disease burden. These effects begin to emerge long before follicular exhaustion. Female humans experience a sharp decline in fertility around 35 years of age, which corresponds to declines in oocyte quality. Despite a growing body of work, the field lacks a comprehensive cellular map of the transcriptomic changes in the aging mouse ovary to identify early drivers of ovarian decline. To fill this gap we performed single-cell RNA sequencing on ovarian tissue from young (3-month-old) and reproductively aged (9-month-old) mice. Our analysis revealed a doubling of immune cells in the aged ovary, with lymphocyte proportions increasing the most, which was confirmed by flow cytometry. We also found an age-related downregulation of collagenase pathways in stromal fibroblasts, which corresponds to rises in ovarian fibrosis. Follicular cells displayed stress-response, immunogenic and fibrotic signaling pathway inductions with aging. This report provides critical insights into mechanisms responsible for ovarian aging phenotypes. The data can be explored interactively via a Shiny-based web application.</pubmed_abstract><journal>Nature aging</journal><pubmed_title>A single-cell atlas of the aging mouse ovary.</pubmed_title><pmcid>PMC10798902</pmcid><funding_grant_id>P30 AG050911</funding_grant_id><funding_grant_id>Pilot Funding</funding_grant_id><funding_grant_id>S10 OD028479</funding_grant_id><funding_grant_id>R01 AG069742</funding_grant_id><pubmed_authors>Ocanas SR</pubmed_authors><pubmed_authors>Isola JVV</pubmed_authors><pubmed_authors>Ko S</pubmed_authors><pubmed_authors>Kovats S</pubmed_authors><pubmed_authors>Alberola-Ila J</pubmed_authors><pubmed_authors>Hense JD</pubmed_authors><pubmed_authors>Carter HNC</pubmed_authors><pubmed_authors>Schneider A</pubmed_authors><pubmed_authors>Mondal SA</pubmed_authors><pubmed_authors>Freeman WM</pubmed_authors><pubmed_authors>Stout MB</pubmed_authors><pubmed_authors>Hubbart CR</pubmed_authors></additional><is_claimable>false</is_claimable><name>A single-cell atlas of the aging mouse ovary.</name><description>Ovarian aging leads to diminished fertility, dysregulated endocrine signaling and increased chronic disease burden. These effects begin to emerge long before follicular exhaustion. Female humans experience a sharp decline in fertility around 35 years of age, which corresponds to declines in oocyte quality. Despite a growing body of work, the field lacks a comprehensive cellular map of the transcriptomic changes in the aging mouse ovary to identify early drivers of ovarian decline. To fill this gap we performed single-cell RNA sequencing on ovarian tissue from young (3-month-old) and reproductively aged (9-month-old) mice. Our analysis revealed a doubling of immune cells in the aged ovary, with lymphocyte proportions increasing the most, which was confirmed by flow cytometry. We also found an age-related downregulation of collagenase pathways in stromal fibroblasts, which corresponds to rises in ovarian fibrosis. Follicular cells displayed stress-response, immunogenic and fibrotic signaling pathway inductions with aging. This report provides critical insights into mechanisms responsible for ovarian aging phenotypes. The data can be explored interactively via a Shiny-based web application.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jan</publication><modification>2026-03-27T16:37:19.794Z</modification><creation>2025-04-04T19:21:35.549Z</creation></dates><accession>S-EPMC10798902</accession><cross_references><pubmed>38200272</pubmed><doi>10.1038/s43587-023-00552-5</doi></cross_references></HashMap>