Omics · study · 2026
Single-cell RNA Sequencing Reveals a Pro-fibrotic Epithelial Subpopulation Contributing to Endometrial Dysfunction in Polycystic Ovary Syndrome
Listed in NCBI GEO
Endometrial dysfunction in women with polycystic ovary syndrome (PCOS) significantly contributes to adverse pregnancy outcomes, including recurrent implantation failure and high miscarriage rates.
Description
However, the specific roles of individual cell types in this dysfunction, particularly in non-obese and obese PCOS patients, remain unclear. This study utilized single-cell RNA sequencing to comprehensively examine cellular heterogeneity in the proliferative-phase endometrium of non-obese PCOS, obese PCOS, and healthy controls.
Notably, we identified a distinct subpopulation of endometrial epithelial cells (EC) exhibiting a predisposition for epithelial-mesenchymal transition, characterized by elevated expression of decorin (DCN) and extracellular matrix 1 (ECM1) (DCNhighECM1high EC2). The proportion of these cells was significantly higher in PCOS patients, potentially disrupting normal epithelial function and reducing endometrial receptivity.
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Analysis of cell-cell communication revealed a notable decrease in anti-fibrotic bone morphogenetic protein (BMP) signaling in fibroblasts targeting DCNhighECM1high EC2, coupled with a marked increase in pro-fibrotic transforming growth factor beta (TGFβ) signaling in immune cells targeting DCNhighECM1high EC2. This imbalance between the two pathways likely drives the fibrotic transformation of endometrial epithelial cells in both non-obese and obese PCOS patients.
Collectively, our findings highlight potential therapeutic targets for managing endometrial dysfunction in PCOS.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE338nnn/GSE338479 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE338479 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1494536 ncbi.nlm.nih.gov/bioproject/PRJNA1494536 ↗
project · from NCBI GEO
- PubMed 42755579 pubmed.ncbi.nlm.nih.gov/42755579 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE338479 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |