ArticleNature aging2025
Molecular and genetic insights into human ovarian aging from single-nuclei multi-omics analyses.
Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed.
- Novel multi-omic biomarkers to combat oocyte and ovarian aging.GeroScience · 2026Article
- Photo-downregulation of SIRT4 mitigates aging in mice by enhancing H3K9ac via fatty acid metabolism.eLife · 2026Article
- From Gene Function to Precision Intervention: CRISPR/Cas9 and Stem Cell-Based Strategies as Emerging Disease-Modifying Approaches in PMOS.Stem cell reviews and reports · 2026Review
- The Human Ovary Exhibits Dynamic Molecular Remodeling in the Decades Post-Menopause.Aging cell · 2026Article
- Systems genetics approaches model the heritable architecture of polyendocrine metabolic ovarian syndrome.The Journal of clinical investigation · 2026Article
- Dietary composition and metabolic stress differentially affect the ovarian microenvironment in mice.GeroScience · 2026Article
- Mapping ovarian cellular and molecular landscape across the lifespan of women: a scoping review.Human reproduction update · 2026Article
- Single‑cell atlas reveals a Wilms' tumor 1‑mediated axis driving granulosa cell senescence in human ovarian aging.International journal of molecular medicine · 2026Article
- Integrative dual-track transcriptomics reveals stage-specific coordination, regulatory divergence, and HSP90AA1-associated remodeling in human folliculogenesis.Journal, genetic engineering & biotechnology · 2026Article
- Identifying novel druggable targets and repurposable drugs for premature ovarian insufficiency by integrated multiomics and causal inference analysis.GeroScience · 2026Article
- Ovarian ageing: from biological constraint to emerging therapeutic frontier.Journal of assisted reproduction and genetics · 2026Review
- Chromatin topology and distal elements underlie divergent cell-type-specific regulation of 9p21 locus cell cycle genes.Cell genomics · 2026Article
- Single-cell atlas of the mouse ovary reveals molecular drivers of aging and senescence during the estropausal transition.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Crosstalk collapse: mitochondria-centric organelle network disruption in ovarian aging.Cell communication and signaling : CCS · 2026Review
- The role of mTOR signaling in regulating the quality of mammalian oocytes.Journal of assisted reproduction and genetics · 2026Review
- Integrated single cell and spatial transcriptomics reveals the cellular and molecular mechanisms underlying UCMSCs treatment of ovarian aging in tree shrews.Stem cell research & therapy · 2026Article
- Developmental and functional landscape of theca cells in ovarian biology.Biological research · 2026Review
- Slowing down the clock on ovarian aging-does the ovary hold the secret to the fountain of youth?GeroScience · 2026Review
- Single-nucleus profiling reveals age-associated remodeling opposed by parity in the postmenopausal human ovary.bioRxiv : the preprint server for biology · 2026Article
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18 authors.
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Abstract
The ovary is the first organ to age in the human body, affecting both fertility and overall health. However, the biological mechanisms underlying human ovarian aging remain poorly understood. Here we present a comprehensive single-nuclei multi-omics atlas of four young (ages 23-29 years) and four reproductively aged (ages 49-54 years) human ovaries. Our analyses reveal coordinated changes in transcriptomes and chromatin accessibilities across cell types in the ovary during aging, notably mTOR signaling being a prominent ovary-specific aging pathway. Cell-type-specific regulatory networks reveal enhanced activity of the transcription factor CEBPD across cell types in the aged ovary. Integration of our multi-omics data with genetic variants associated with age at natural menopause demonstrates a global impact of functional variants on gene regulatory networks across ovarian cell types. We nominate functional non-coding regulatory variants, their target genes and ovarian cell types and regulatory mechanisms. This atlas provides a valuable resource for understanding the cellular, molecular and genetic basis of human ovarian aging.
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