Construction of a competing endogenous RNA network to identify drug targets against polycystic ovary syndrome

构建竞争性内源性 RNA 网络以识别针对多囊卵巢综合征的药物靶点

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作者:Tong Wu, Yue-Yue Gao, Xia-Nan Tang, Yan Li, Jun Dai, Su Zhou, Meng Wu, Jin-Jin Zhang, Shi-Xuan Wang

Methods

The public data included 27 unaffected women and 25 women with PCOS, according to the Rotterdam criteria proposed in 2003. The limma and RobustRankAggreg R packages were used to identify differentially expressed messenger RNAs and noncoding RNAs. Gene Ontology, Reactome and Kyoto Encyclopedia of Genes and Gemomes (KEGG) enrichment analyses were performed. A ceRNA network was constructed by integrating the differentially expressed genes and target genes. The population-based validation included human luteinized granulosa cell samples from 12 unaffected women and 12 women with PCOS. Quantitative real-time polymerase chain reaction was conducted to detect the levels of mRNAs and microRNAs (miRNAs). Connectivity map and computational model algorithms were implemented to predict therapeutic drugs from the ceRNA network. Additionally, we compared the predicted drugs with known clinical medications in DrugBank. Main

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