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pmid:37537636

Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China.

Qingfang Li · Yimiao Sang · Qingqing Chen · Bingru Ye · Xiaoqian Zhou · Yimin Zhu

Journal of ovarian research · 2023 doi:10.1186/s13048-023-01223-0

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complete

Experiment

complete

Data

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Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:37537636
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2026-11-01T19:02:18Z
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title
Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China.
doi
10.1186/s13048-023-01223-0
pmid
37537636
authors array · 6 items
[0]
Qingfang Li
[1]
Yimiao Sang
[2]
Qingqing Chen
[3]
Bingru Ye
[4]
Xiaoqian Zhou
[5]
Yimin Zhu
journal
Journal of ovarian research
year
2023
abstract
BACKGROUND: Polycystic ovary syndrome (PCOS) is a common reproductive, neuroendocrine, and metabolic disorder in women of reproductive age that affects up to 5-10% of women of reproductive age. The aetiology of follicle development arrest and critical issues regarding the abnormal follicular development in PCOS remain unclear. The present study aims to systematically evaluate granulosa cell whole-transcriptome sequencing data to gain more insights into the transcriptomic landscape and molecular mechanism of PCOS in China. METHODS: In the present study, the microarray datasets GSE138518, GSE168404, GSE193123, GSE138572, GSE95728, and GSE145296 were downloaded from the Gene Expression Omnibus (GEO) database. Subsequently, differential expression analysis was performed on the PCOS and control groups, followed by functional interaction prediction analysis to investigate gene-regulatory circuits in PCOS. Finally, hub genes and their associated ncRNAs were validated by qPCR in human-luteinized granulosa (hGL) cells and were correlated with the clinical characteristics of the patients. RESULTS: A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls. GO and KEGG enrichment analyses indicated that the DEGs were mostly enriched in phospholipid metabolic processes, steroid biosynthesis and inflammation related pathways. In addition, the upregulated miRNA hsa-miR-205-5p was significantly enriched in the ceRNA network, and two hub genes, MVD and PNPLA3, were regulated by hsa-miR-205-5p, which means that hsa-miR-205-5p may play a fundamental role in the pathogenesis of PCOS. We also found that MVD and PNPLA3 were related to metabolic processes and ovarian steroidogenesis, which may be the cause of the follicle development arrest in PCOS patients. CONCLUSIONS: In summary, we systematically constructed a ceRNA network depicting the interactions between the ncRNAs and the hub genes in PCOS and control subjects and correlated the hub genes with the clinical characteristics of the patients, which provides valuable insights into the granulosa cell whole-transcriptome landscape of PCOS in China.
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Differential gene analysis was performed by edgeR and the limma package.
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The microarray datasets GSE138518, GSE168404, GSE193123, GSE138572, GSE95728, GSE145296 were downloaded from GEO database (https://www.ncbi.nlm.nih.gov/geo/).
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A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls.
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A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls.
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A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls.
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Multiomics analysis reveals molecular abnormalities in granulosa cells of women with polycystic ovary syndrome
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in China. METHODS: In the present study, the microarray datasets GSE138518, GSE168404, GSE193123, GS
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nd their associated ncRNAs were validated by qPCR in human-luteinized granulosa (hGL) cells an
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All the cell models used in this study were cultured in a humidified atmosphere of 5% CO2 and 95% ai
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37537636", "kind": "science-record", "revision": 5, "content_hash": "sha256:34010bc75721bed76a4e38337840f363c27de928e88c4b6df02ddd100de3a5a2", "created_at": "2026-11-01T19:02:18Z", "updated_at": "2026-11-01T22:52:26Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Integrated bioinformatics analysis elucidates granulosa cell whole-transcriptome landscape of PCOS in China.", "doi": "10.1186/s13048-023-01223-0", "pmid": "37537636", "authors": ["Qingfang Li", "Yimiao Sang", "Qingqing Chen", "Bingru Ye", "Xiaoqian Zhou", "Yimin Zhu"], "journal": "Journal of ovarian research", "year": 2023, "abstract": "BACKGROUND: Polycystic ovary syndrome (PCOS) is a common reproductive, neuroendocrine, and metabolic disorder in women of reproductive age that affects up to 5-10% of women of reproductive age. The aetiology of follicle development arrest and critical issues regarding the abnormal follicular development in PCOS remain unclear. The present study aims to systematically evaluate granulosa cell whole-transcriptome sequencing data to gain more insights into the transcriptomic landscape and molecular mechanism of PCOS in China.\nMETHODS: In the present study, the microarray datasets GSE138518, GSE168404, GSE193123, GSE138572, GSE95728, and GSE145296 were downloaded from the Gene Expression Omnibus (GEO) database. Subsequently, differential expression analysis was performed on the PCOS and control groups, followed by functional interaction prediction analysis to investigate gene-regulatory circuits in PCOS. Finally, hub genes and their associated ncRNAs were validated by qPCR in human-luteinized granulosa (hGL) cells and were correlated with the clinical characteristics of the patients.\nRESULTS: A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls. GO and KEGG enrichment analyses indicated that the DEGs were mostly enriched in phospholipid metabolic processes, steroid biosynthesis and inflammation related pathways. In addition, the upregulated miRNA hsa-miR-205-5p was significantly enriched in the ceRNA network, and two hub genes, MVD and PNPLA3, were regulated by hsa-miR-205-5p, which means that hsa-miR-205-5p may play a fundamental role in the pathogenesis of PCOS. We also found that MVD and PNPLA3 were related to metabolic processes and ovarian steroidogenesis, which may be the cause of the follicle development arrest in PCOS patients.\nCONCLUSIONS: In summary, we systematically constructed a ceRNA network depicting the interactions between the ncRNAs and the hub genes in PCOS and control subjects and correlated the hub genes with the clinical characteristics of the patients, which provides valuable insights into the granulosa cell whole-transcriptome landscape of PCOS in China.", "claims": [{"id": "claim-method", "statement": "Differential gene analysis was performed by edgeR and the limma package.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37537636", "locator": "sections[4] \"Identification of differentially expressed mRNAs and noncoding RNAs\" paragraph 2", "quote": "Differential gene analysis was performed by edgeR and the limma package."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The microarray datasets GSE138518, GSE168404, GSE193123, GSE138572, GSE95728, GSE145296 were downloaded from GEO database (https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37537636", "locator": "sections[27] \"notes\" paragraph 1", "quote": "The microarray datasets GSE138518, GSE168404, GSE193123, GSE138572, GSE95728, GSE145296 were downloaded from GEO database (https://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37537636", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "A total of 200 differentially expressed mRNAs, 3 differentially expressed miRNAs, 52 differentially expressed lncRNAs, and 66 differentially expressed circRNAs were found in PCOS samples compared with controls.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37537636"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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METHODS: In the present study, the microarray datasets GSE138518, GSE168404, GSE193123, GS"], "order_basis": "paper_text_order:627", "id": "assay:1"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["nd their associated ncRNAs were validated by qPCR in human-luteinized granulosa (hGL) cells an"], "order_basis": "paper_text_order:1042", "id": "assay:2"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["All the cell models used in this study were cultured in a humidified atmosphere of 5% CO2 and 95% ai"], "order_basis": "paper_text_order:2608", "id": "assay:3"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Differential gene analysis was performed by edgeR and the limma package."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}