Omics · study · 2026
Single-Cell RNA Sequencing of the Human Endometrium in Healthy Controls and Patients with Polycystic Ovary Syndrome
Listed in NCBI GEO
Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting reproductive-aged women and is associated with endometrial dysfunction, including reduced receptivity, increased miscarriage risk, and elevated endometrial cancer risk.
Description
However, the cellular and molecular heterogeneity of the endometrium in PCOS patients remains poorly understood. In this study, we performed single-cell RNA sequencing (scRNA-seq) on endometrial biopsies obtained from healthy control women and PCOS patients.
Endometrial samples were collected during the proliferative phase. We analyzed endometrial cell composition and transcriptional profiles at single-cell resolution. Our findings reveal PCOS-specific alterations in endometrial cell type composition, as well as cell-type-specific gene expression changes associated with inflammation, progesterone resistance, and extracellular matrix remodeling.
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These results provide a comprehensive cellular atlas of the PCOS endometrium and identify potential molecular targets for future therapeutic intervention.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE333nnn/GSE333241 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE333241 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1470571 ncbi.nlm.nih.gov/bioproject/PRJNA1470571 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE333241 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |