ArticleReproductive sciences (Thousand Oaks, Calif.)2021
Identification of Potential Biomarkers of Polycystic Ovary Syndrome via Integrated Bioinformatics Analysis.
Article in Reproductive sciences (Thousand Oaks, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Roles of the Notch Signaling Pathway in Ovarian Functioning.Reproductive sciences (Thousand Oaks, Calif.) · 2021Pooled it
- From Gene Function to Precision Intervention: CRISPR/Cas9 and Stem Cell-Based Strategies as Emerging Disease-Modifying Approaches in PMOS.Stem cell reviews and reports · 2026Review
- Integrative dual-track transcriptomics reveals stage-specific coordination, regulatory divergence, and HSP90AA1-associated remodeling in human folliculogenesis.Journal, genetic engineering & biotechnology · 2026Article
- The role of microbiota and toll-like receptors in polycystic ovary syndrome: regulatory mechanisms of androgen metabolism.Endocrine connections · 2025Review
- Identification of crucial pathways and genes linked to endoplasmic reticulum stress in PCOS through combined bioinformatic analysis.Frontiers in molecular biosciences · 2024Article
- Notch Signaling Induced by Endoplasmic Reticulum Stress Regulates Cumulus-Oocyte Complex Expansion in Polycystic Ovary Syndrome.Biomolecules · 2022Article
- Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome.Journal of ovarian research · 2022Article
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis.Journal of ovarian research · 2022Article
- Notch signaling in reproduction.Trends in endocrinology and metabolism: TEM · 2021Review
- Article
Corrections and comments
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polycystic ovary syndrome (PCOS) is a life-long reproductive, endocrine, and metabolic disorder that affects up to 17% of women of reproductive age. However, the effect of granulosa cells (GCs) transcriptome changes on oocyte capacity and follicular development in patients with PCOS has not been elucidated. This study aims to analyze transcriptome changes in GCs of PCOS from different perspectives and explore potential biomarkers for the diagnosis and treatment of PCOS. The gene expression profiles of GSE34526 and GSE107746 were obtained from the GEO database. Differentially expressed genes (DEGs) and key signaling pathways were identified. Gene Set Enrichment Analysis (GSEA) revealed that Toll-like receptors, NOD-like receptors, and NOTCH signaling pathways were obviously enriched in GCs of PCOS. We further analyzed DEGs from three aspects: transcription factors (TFs), secreted proteins, and follicular development. Compared with normal GCs, the DEGs encoding TFs and secretory proteins in GCs of PCOS remarkably changed. Besides, HAS2 and CBLN1, which are highly expressed in preovulatory follicular GCs and may trigger ovulation, were significantly decreased in GCs of PCOS. This study found candidate genes and signaling pathways in PCOS, providing new insights and foundations for the etiology of PCOS. Besides, HSA2 and CBLN1 may be potential therapeutic biomarkers for ovulation disorders in PCOS.
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