Abstract

Background

In humans and other mammals, the process of oogenesis initiates asynchronously in specific ovarian regions, leading to the localization of dormant and growing follicles in the cortex and medulla, respectively; however, the current understanding of this process remains insufficient.

Results

Here, we integrate single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to comprehend spatial–temporal gene expression profiles and explore the spatial organization of ovarian microenvironments during early oogenesis in pigs. Projection of the germ cell clusters at different stages of oogenesis into the spatial atlas unveils a “cortical to medullary (C-M)” distribution of germ cells in the developing porcine ovaries. Cross-species analysis between pigs and humans unveils a conserved C-M distribution pattern of germ cells during oogenesis, highlighting the utility of pigs as valuable models for studying human oogenesis in a spatial context. RNA velocity analysis with ST identifies the molecular characteristics and spatial dynamics of granulosa cell lineages originating from the cortical and medullary regions in pig ovaries. Spatial co-occurrence analysis and intercellular communication analysis unveils a distinct cell–cell communication pattern between germ cells and somatic cells in the cortex and medulla regions. Notably, in vitro culture of ovarian tissues verifies that intercellular NOTCH signaling and extracellular matrix (ECM) proteins played crucial roles in initiating meiotic and oogenic programs, highlighting an underappreciated role of ovarian microenvironments in orchestrating germ cell fates.

Conclusions

Overall, our work provides insight into the spatial characteristics of early oogenesis and the regulatory role of ovarian microenvironments in germ cell fate within a spatial context.

Details

Title
Spatiotemporal dynamics of early oogenesis in pigs
Author
Ge, Wei; Yi-Lin, Niu; Yu-Kang, Li; Li, Li; Wang, Han; Wen-Wen, Li; Tian Qiao; Yan-Ni, Feng; Yu-Qing, Feng; Liu, Jing; Jun-Jie, Wang; Xiao-Feng, Sun; Shun-Feng, Cheng; Li, Lan; Shen, Wei
Pages
1-27
Section
Research
Publication year
2025
Publication date
2025
Publisher
BioMed Central
ISSN
14747596
e-ISSN
1474760X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3201607114
Copyright
© 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.