School of Medicine, Xiamen University, Xiamen, Fujian, China.
Biomed Res Int. 2020 Aug 19;2020:9246868. doi: 10.1155/2020/9246868. eCollection 2020.
Decidualization of ectopic endometrium often leads to the extensive proliferation of local tissue and is easily misdiagnosed as malignant tumors. The study is aimed at constructing a microRNA- (miRNA-) mRNA network underlying decidualized endometriotic cyst stromal cells (ECSCs).
All data were collected from the Gene Expression Omnibus (GEO) database. Firstly, the differentially expressed genes (DEGs, adj. -Val < 0.05, | log FC | ≥1) and miRNAs (DEMs, -Val < 0.05, ∣log FC | ≥1) were analyzed by the package. Secondly, we predicted the target genes (TGs) of these DEMs through the TargetScan, miRDB, and miRTarBase databases. The overlapping genes between DEGs and TGs were screened out. Thirdly, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment analyses of the overlapping genes were performed for integrated discovery, visualization, and annotation. Then, the protein-protein interaction (PPI) network of the overlapping genes was conducted by the STRING database. Finally, we combined the PPI network and the miRNA-mRNA pairs to build a miRNA-mRNA network.
There are 29 DEMs and 523 DEGs. Fourteen overlapping genes were screened out, and these genes were significantly enriched in metabolism and immunity. What is more, a miRNA-mRNA network, including 14 mRNAs and 9 miRNAs, was successfully constructed.
Taken together, the miRNA-mRNA regulatory networks described in this study may provide new insights in the decidualization of ECSCs, suggesting further investigations in novel pathogenic mechanisms.
异位子宫内膜的蜕膜化常导致局部组织的广泛增殖，容易误诊为恶性肿瘤。本研究旨在构建蜕膜化的子宫内膜异位症囊肿基质细胞（ECSCs）的 microRNA-（miRNA-）mRNA 网络。
所有数据均来自基因表达综合数据库（GEO）。首先，通过 R 包分析差异表达基因（DEGs，adj.-Val<0.05，∣logFC∣≥1）和差异表达 miRNA（DEMs，-Val<0.05，∣logFC∣≥1）。其次，通过 TargetScan、miRDB 和 miRTarBase 数据库预测这些 DEMs 的靶基因（TGs）。筛选出 DEGs 和 TGs 的重叠基因。然后，对重叠基因进行京都基因与基因组百科全书（KEGG）通路和基因本体论（GO）富集分析，进行综合发现、可视化和注释。然后，通过 STRING 数据库构建重叠基因的蛋白质-蛋白质相互作用（PPI）网络。最后，将 PPI 网络与 miRNA-mRNA 对相结合，构建 miRNA-mRNA 网络。
有 29 个 DEM 和 523 个 DEGs。筛选出 14 个重叠基因，这些基因在代谢和免疫方面显著富集。此外，成功构建了一个包括 14 个 mRNA 和 9 个 miRNA 的 miRNA-mRNA 网络。
综上所述，本研究中描述的 miRNA-mRNA 调控网络可能为 ECSCs 的蜕膜化提供新的见解，提示进一步研究新的发病机制。
