ArticleCell proliferation2023
A spatiotemporal gene expression and cell atlases of the developing rat ovary.
Article in Cell proliferation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 14 citations in OpenAlex.
- Spatial transcriptomics in ovarian biology technologies: computational challenges, and biological insights.Reproduction (Cambridge, England) · 2026Review
- Integration of single-cell transcriptome of female early gonadal development in bovine, goats, and pigs.iScience · 2026Article
- Integrated single cell and spatial transcriptomics reveals the cellular and molecular mechanisms underlying UCMSCs treatment of ovarian aging in tree shrews.Stem cell research & therapy · 2026Article
- Comprehensive multi-omics reveals dynamic chromatin changes and gene regulatory networks during duck folliculogenesis.Journal of animal science and biotechnology · 2026Article
- Cross-species single-cell transcriptomic analyses reveal evolutionary conservation and diversification of ovarian tissues.Journal of animal science and biotechnology · 2026Article
- Androgen dysregulates the follicular extracellular matrix and increases pro-fibrotic gene expression in the mouse ovary.Scientific reports · 2026Article
- Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data.PLoS computational biology · 2025Article
- CCAAT/enhancer binding protein beta (C/EBPβ) regulates the formation of the ovarian reserve.Communications biology · 2025Article
- Randomized Spatial PCA (RASP): a computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data.bioRxiv : the preprint server for biology · 2025Article
- CircRNAs: a novel potential strategy to treat breast cancer.Frontiers in immunology · 2025Review
- Integrated single-cell and spatial transcriptomics reveal microenvironment disruptions by androgen in mouse ovary.iScience · 2024Article
- Aging hallmarks of the primate ovary revealed by spatiotemporal transcriptomics.Protein & cell · 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 spatiotemporal gene expression and cell atlases of the developing rat ovary.Cell proliferation · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Normal ovarian development is necessary for the production of healthy oocytes. However, the characteristics of oocytes development at different stages and the regulatory relationship between oocytes and somatic cells remain to be fully explained. Here, we combined scRNA-seq and spatial transcriptomic sequencing to profile the transcriptomic atlas of developing ovarian of the rat. We identified four components from developing granulosa cells including cumulus, primitive, mural, and luteal cells, and constructed their differential transcriptional regulatory networks. Several novel growth signals from oocytes to cumulus cells were identified, such as JAG1-NOTCH2 and FGF9-FGFR2. Moreover, we observed three cumulus sequential phases during follicle development determined by the key transcriptional factors in each cumulus phase (Bckaf1, Gata6, Cebpb, etc.), as well as the potential pinpointed roles of macrophages in luteal regression. Altogether, the single-cell spatial transcriptomic profile of the ovary provides not only a new research dimension for temporal and spatial analysis of ovary development, but also valuable data resources and a research basis for in-depth excavation of the mechanisms of mammalian ovary development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.