ArticleAmerican journal of translational research2022
Novel Hub genes co-expression network mediates dysfunction in a model of polycystic ovary syndrome.
Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Integrative metaprogram analysis reveals transcriptional dysregulation of oxidative stress response in granulosa cells from polycystic ovary syndrome.Journal of ovarian research · 2025Article
- Whispers of the polycystic ovary syndrome theater: Directing role of long noncoding RNAs.Non-coding RNA research · 2024Review
- Identification and immune features of cuproptosis-related molecular clusters in polycystic ovary syndrome.Scientific reports · 2023Article
- Unveiling Key Biomarkers and Therapeutic Drugs in Polycystic Ovary Syndrome (PCOS) Through Pathway Enrichment Analysis and Hub Gene-miRNA Networks.Iranian journal of pharmaceutical research : IJPRArticle
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Authors and funding
8 authors.
Funding
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Abstract
backgroundThis study aimed to integrate DNA methylation, miRNA, and mRNA microarray data to construct a gene co-expression network for polycystic ovarian syndrome (PCOS).
methodsThe weighted gene co-expression network analysis (WGCNA) was conducted to construct a PCOS-related co-expression network by using the GEO public datasets. We performed Gene Ontology and KEGG pathway enrichment analyses for a further exploration of gene function in networks. Finally, the dysfunction module consisting of a co-expression network was mapped to the PCOS patients and tried to provide guidance to the PCOS phenotyping.
resultsThree modules (Midnightbule, Pink, and Red) were identified to be PCOS-related by WGCNA analysis. These module-related genes were enriched in cell response to stimulus, PI3K-Akt signaling pathway, insulin biological process, signaling pathway, and cytokine-cytokine receptor interaction biological processes. The multiple-factor network, including miRNA-lncRNA and DNA methylation-mRNA interaction, was closely associated with PCOS dysfunction.
conclusionOur study render a novel insight into the mechanisms and might provide candidate biomarkers and therapeutic targets for the classification of PCOS dysfunction.
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35422941PMC8991170What OpenQuestion holds
Registered trials
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