ArticleiScience2022
Spatially resolved transcriptomic profiling of ovarian aging in mice.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 36 citations in OpenAlex.
- Spatial transcriptomics in ovarian biology technologies: computational challenges, and biological insights.Reproduction (Cambridge, England) · 2026Review
- Spatial transcriptomics in the human adult ovary: insights into key signalling pathways during follicular atresia.Human reproduction (Oxford, England) · 2026Article
- Single-cell dissection of regulated cell death dynamics in ovarian aging.Journal of ovarian research · 2026Article
- Sirtuins in Women's Health.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Lactational high weight loss impairs follicular development by causing mitochondrial dysfunction of ovarian cells in sows and mitigated by butyrate supplement.Journal of advanced research · 2025Article
- Review
- ZipAEr: A compressive convolutional autoencoder for high-dimensional spatial omics data at subcellular resolution.Research square · 2025Article
- Studying ovarian aging and its health impacts: modern tools and approaches.Genes & development · 2025Review
- Spatiotemporal and single-cell atlases to dissect regional specific cell types of the developing ovary.Communications biology · 2025Article
- Age-associated aberrations of the cumulus-oocyte interaction and in the zona pellucida structure reduce fertility in female mice.Communications biology · 2024Article
- STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics.Advances in neural information processing systems · 2024Article
- Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine.Military Medical Research · 2024Review
- Spatiotemporal transcriptomic changes of human ovarian aging and the regulatory role of FOXP1.Nature aging · 2024Article
- A spatiotemporal molecular atlas of the ovulating mouse ovary.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Dynamic changes in cellular atlases and communication patterns within yak ovaries across diverse reproductive states unveiled by single-cell analysis.Frontiers in cell and developmental biology · 2024Article
- A single-cell atlas of the aging mouse ovary.Nature aging · 2024Article
- Unraveling the Clinical Relevance of Ferroptosis-Related Genes in Human Ovarian Aging.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- A spatiotemporal gene expression and cell atlases of the developing rat ovary.Cell proliferation · 2023Article
- Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian aging precedes that of any other mammalian organ and is the primary cause of female age-related infertility. The biological mechanisms responsible for ovarian aging remain unclear. Previous studies have been limited by their use of bulk RNA-sequencing, which masks the dynamic and heterogeneous nature of the ovary. In this study, we spatially resolved the transcriptomic landscape of ovaries from young and aged outbred mice. In total, we defined eight main ovarian cell populations, all of which were characterized by significant transcriptomic changes between young and aged samples. Further sub-cluster analysis revealed separate transcriptomes for distinct granulosa cell populations found in young versus aged mice, in addition to an oocyte sub-cluster population completely absent from aged mouse ovaries. This study provides a new perspective on mammalian ovarian aging using spatial transcriptomics to achieve deeper understanding of the localization and cell-population-specific mechanisms underlying age-related fertility decline.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.