Construction of Polycystic Ovarian Syndrome Related lncRNA-mRNA Network Based on ceRNA to Identify Functional lncRNAs in Polycystic Ovarian Syndrome [post]

Yue Ma, Jun Zhai
2020 unpublished
Background Polycystic ovary syndrome (PCOS) is a prevalent endocrine and metabolic disorder in women of childbearing age. Recent studies have shown that long non-coding RNA (lncRNA) played a vital role in the development of the PCOS. Competitive endogenous RNA (ceRNA), a novel interacting mechanism, in which lncRNA could interact with micro-RNAs (miRNA) and indirectly interact with mRNAs through competing interactions. However, the mechanism of ceRNA regulated by lncRNA in the PCOS was unclear.
more » ... e PCOS was unclear. Results We constructed the global background network based on the assumed lncRNA-miRNA and miRNA-mRNA pairs, which were obtained from lncRNASNP, miRTarBase and StarBase database. Then we calculated differentially expressed genes of PCOS using the data of GSE95728. PCOS related lncRNA-mRNA network (PCLMN) was constructed by hypergeometric test, including 41 mRNA nodes, 41 lncRNA nodes and 203 edges. Topological analyses was performed to determine the crucial lncRNAs with the highest centroid. We further identified the subcellular localization, performed functional module analyses and identified putative transfer factors of the key lncRNAs. Functional enrichment analyses were performed by GO classification and KEGG pathway analyses. Finally, 3 key lncRNAs(LINC00667, H19, AC073172.1) and their ceRNA sub-networks, which were involved in NF-kB signaling pathway, inflammatory, apoptotic and immune-related processes, had been found as the potential PCOS related disease genes. Conclusions Based on the result above, we speculate that LINC00667, H19, AC073172.1 and their ceRNA sub-networks played an crucial role in PCOS. All these results can help us discover the molecular mechanism and offer new predictive biomarkers for PCOS.
doi:10.21203/ fatcat:yc6u2nuxsbh5rbsiaeoyalwrae