ArticleReproductive biology and endocrinology : RB&E2024
Deconvolution at the single-cell level reveals ovarian cell-type-specific transcriptomic changes in PCOS.
Article in Reproductive biology and endocrinology : RB&E, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Multi-ancestry genome-wide association analyses of polycystic ovary syndrome.Nature genetics · 2025Pooled it
- Hepatic Mechanisms and Therapeutic Target Underpinning Hypercoagulation in Obesity: Insights From Genetic and Transcriptomic Analyses.Exploration (Beijing, China) · 2026Article
- Developmental and functional landscape of theca cells in ovarian biology.Biological research · 2026Review
- Single-cell analysis of follicular fluid reveals dysregulation of ovulatory immune function in Polycystic Ovary Syndrome patients undergoing ovarian stimulation†.Biology of reproduction · 2026Article
- The stromal microenvironment of ovary: a novel area in polycystic ovary syndrome.Journal of ovarian research · 2026Review
- Interpreting the molecular and cellular landscape of PCOS through bulk transcriptomics, single-cell transcriptomics and machine learning.Journal of ovarian research · 2026Article
- Single-cell transcriptomics uncovering a critical AKT-LONP1-STAR axis in ovarian hyperandrogenism of PCOS.Journal of ovarian research · 2025Article
- Unpacking PCOS Inflammation: From Misconceptions to Immune Networks.Endocrinology · 2025Review
- Article
- Semaphorin 3E-Plexin-D1 Pathway Downstream of the Luteinizing Hormone Surge Regulates Ovulation, Granulosa Cell Luteinization, and Ovarian Angiogenesis in Mice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Integrated multi-omics analysis reveals complement component 3 as a central driver of immune dysregulation in polycystic ovary syndrome.Frontiers in endocrinology · 2025Article
- Fibroblast growth factor 19 regulates polycystic ovary syndrome progression via FGFR4-ERK-NRF2 pathway.Frontiers in cell and developmental biology · 2025Article
- An update review of the application of single-cell RNA sequencing in pregnancy-related diseases.Frontiers in endocrinology · 2024Review
- Correlation analysis of BMI with ovulation effect and clinical pregnancy rate in patients with polycystic ovary syndrome.American journal of translational research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundPolycystic ovary syndrome (PCOS) is one of the most common reproductive endocrine disorders in females of childbearing age. Various types of ovarian cells work together to maintain normal reproductive function, whose discordance often takes part in the development and progression of PCOS. Understanding the cellular heterogeneity and compositions of ovarian cells would provide insight into PCOS pathogenesis, but are, however, not well understood. Transcriptomic characterization of cells isolated from PCOS cases have been assessed using bulk RNA-seq but cells isolated contain a mixture of many ovarian cell types.
methodsHere we utilized the reference scRNA-seq data from human adult ovaries to deconvolute and estimate cell proportions and dysfunction of ovarian cells in PCOS, by integrating various granulosa cells(GCs) transcriptomic data.
resultsWe successfully defined 22 distinct cell clusters of human ovarian cells. Then after transcriptome integration, we obtained a gene expression matrix with 13,904 genes within 30 samples (15 control vs. 15 PCOS). Subsequent deconvolution analysis revealed decreased proportion of small antral GCs and increased proportion of KRT8
conclusionsTaken together, this study provides insights into the molecular alterations and cellular compositions in PCOS ovarian tissue. The findings might contribute to our understanding of PCOS pathophysiology and offer resource for PCOS basic research.
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.