ArticleMolecular therapy. Nucleic acids2023
Single-cell profiling of mouse and primate ovaries identifies high levels of
Article in Molecular therapy. Nucleic acids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 29 citations in OpenAlex.
- Perifollicular stromal cells sustain folliculogenesis via MDK-NCL signaling in mice and humans.Cell discovery · 2026Article
- HucMSC-mediated stromal metabolic reprogramming in reactivating aged ovaries: a single-cell transcriptomic perspective.Cellular & molecular biology letters · 2026Article
- Cross-species single-cell transcriptomic analyses reveal evolutionary conservation and diversification of ovarian tissues.Journal of animal science and biotechnology · 2026Article
- Insulin-like growth factor 1 as a key paracrine mediator in mesenchymal stem cell-based intervention for ovarian ageing: a review.Journal of ovarian research · 2026Review
- Unraveling the Molecular Mechanisms of Benzo(a)pyrene (BaP)-Induced Ovarian-Related Disorders: Integrating Computational Predictions and Experimental Validation.International journal of molecular sciences · 2026Article
- Androgen dysregulates the follicular extracellular matrix and increases pro-fibrotic gene expression in the mouse ovary.Scientific reports · 2026Article
- Integrated analysis of differential m6A methylation and transcriptome profiles in ovaries of young and aged Qira black sheep.BMC genomics · 2026Article
- Whole-grain black rice diet rewires the single-cell transcriptomic landscape of age-related ovarian decline in mice.Science China. Life sciences · 2026Article
- Metformin protects against cyclophosphamide-induced ovarian fibrosis by MIF/CD74-mediated macrophage polarization.Journal of translational medicine · 2025Article
- Single-cell analysis of ovarian myeloid cells identifies age-associated changes in macrophages and signaling dynamics†.Biology of reproduction · 2025Article
- Blocking CXCR4Genome medicine · 2025Article
- Studying ovarian aging and its health impacts: modern tools and approaches.Genes & development · 2025Review
- Article
- Non-human primate: the new frontier model of female reproductive engineering.Frontiers in bioengineering and biotechnology · 2025Review
- Transcriptome and proteome of ovarian tissues revealed the differences in the ovaries of dairy goats during the breeding and non-breeding seasons.Frontiers in veterinary science · 2025Article
- The senolytic drug ABT-263 accelerates ovarian aging in older female mice.Scientific reports · 2024Article
- Aging hallmarks of the primate ovary revealed by spatiotemporal transcriptomics.Protein & cell · 2024Article
- A high-resolution view of the heterogeneous aging endothelium.Angiogenesis · 2024Review
- Spatiotemporal Transcriptome Analysis Reveals Activation of the AP1 Pathway in the Ovarian Microenvironment during the Transition from Premenopause to Postmenopause.Aging and disease · 2024Article
- Spatiotemporal transcriptomic changes of human ovarian aging and the regulatory role of FOXP1.Nature aging · 2024Article
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increased ovarian fibrosis and an expanded stromal cell compartment are the main characteristics of aging ovaries. However, the molecular mechanisms and the key factor of stromal cells underlying ovarian aging remain unclear. Here, we explored single-cell transcriptomic data of ovaries from the adult mouse (4,363 cells), young (1,122 cells), and aged (1,479 cells) non-human primates (NHPs) to identify expression patterns of stromal cells between young and old ovaries. An increased number of stromal cells (p = 0.0386) was observed in aged ovaries of NHPs, with enrichment processes related to the collagen-containing extracellular matrix. In addition, differentially expressed genes of stromal cells between young and old ovaries were regulated by ESR1 (p = 7.94E-08) and AR (p = 1.99E-05). Among them,
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