ArticleCommunications biology2025
Spatiotemporal and single-cell atlases to dissect regional specific cell types of the developing ovary.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Spatial transcriptomics in ovarian biology technologies: computational challenges, and biological insights.Reproduction (Cambridge, England) · 2026Review
- Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.Journal of the Endocrine Society · 2026Article
- Macrophages regulate meiotic initiation and germ cell clearance in the developing ovary.bioRxiv : the preprint server for biology · 2026Article
- Comparative Single-Cell Transcriptomic Atlas Reveals the Genetic Regulation of Reproductive Traits.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Characterization of cellular heterogeneity and molecular diversity greatly enhances our understanding of the ovary differentiation process. However, regional specification remains largely unexplored during ovary development. Here, we combine spatial transcriptomics and single-cell RNA sequencing to build a spatiotemporal developmental atlas of ovaries from the fetal stage through adulthood. We construct the developmental trajectory of female germ cells and identify key genes essential for primordial follicle assembly. Specifically, we characterize the regional heterogeneity of granulosa cell subtypes contributing to the folliculogenesis, and analyze the molecular distinctions between healthy and atretic follicles. Notably, we discover that Onecut2-positive luteal cells exhibit a specific spatial distribution. Furthermore, lineage tracing reveals that these Onecut2-positive luteal cells originate from Foxl2-positive granulosa cells and Cyp17a1-positive theca cells. Collectively, this study provides a comprehensive delineation of ovary development and regional specificity of ovarian cell types.
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Registered trials
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