Spatiotemporal and single-cell atlases to dissect regional specific cell types of the developing ovary

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.

Authors

Institutions

Publication Details

Journal
Communications Biology
Published
2025-06-03
DOI
https://doi.org/10.1038/s42003-025-08277-4
Citations
4
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
3.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal and single-cell atlases to dissect regional specific cell types of the developing ovary

Fei Gao, Qing‐Yuan Sun, Tie‐Gang Meng, Xiang‐Hong Ou et al.
4 citations
Communications Biology
Single-cell and spatial transcriptomics
3.22
article

Spatiotemporal and single-cell atlases to dissect regional specific cell types of the developing ovary

Fei Gao, Qing‐Yuan Sun, Tie‐Gang Meng, Xiang‐Hong Ou, Heide Schatten, Xueying Chen, Zheng‐Hui Zhao
article en
4 citations

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.

Communications BiologyVol. 8(1)
Jinan University (CN), Chinese Academy of Sciences (CN), Guangdong Provincial Hospital of Traditional Chinese Medicine (CN), Guangzhou Regenerative Medicine and Health Guangdong Laboratory (CN), Institute of Zoology (CN), University of Missouri (US)
Zero hunger
Openalex Percentile: Top 8%
Single-cell and spatial transcriptomics
3.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatiotemporal and single-cell atlases to dissect regional specific cell types of the developing ovary — Fei Gao, Qing‐Yuan Sun, et al. · Communications Biology (2025) | TGRS Research Map | TGRS