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Construction of Competing Endogenous RNA Networks Incorporating Transcription Factors to Reveal Differences in Granulosa Cells from Patients with Endometriosis

竞争性内源性RNA 生物 小RNA 基因 西斯特 基因调控网络 计算生物学 转录因子 信使核糖核酸 核糖核酸 基因表达 长非编码RNA 遗传学 生物信息学 X染色体 X-失活
作者
Rongfeng Wu,Junzui Li,Jingjing Li,Ningqing Zhang,Weidong Zhou,Lulu Ren,Qionghua Chen,Youzhu Li
出处
期刊:Genetic Testing and Molecular Biomarkers [Mary Ann Liebert]
卷期号:25 (7): 453-462 被引量:2
标识
DOI:10.1089/gtmb.2020.0152
摘要

Purpose: This study was designed to reveal the molecular differences between granulosa cells (GCs) from patients with endometriosis and normal controls. Methods: RNA sequencing was performed on GCs from patients with EM-related infertility (n = 3) and controls (n = 3). Differentially expressed long noncoding RNAs [differentially expressed lncRNAs (DELs), |log2 FC|>4, false discovery rate (FDR) <0.05] and genes [differentially expressed genes (DEGs), |log2 FC|>1.4, FDR <0.05] in patients with EM-related infertility and controls were screened. Protein–protein interaction (PPI) networks of the DEGs were constructed. Then, mRNA–miRNA–lncRNA pairs based on DEGs and DELs were constructed by comprehensive bioinformatics analyses. In addition, overlapping genes identified from both the PPI and the mRNA–miRNA–lncRNA pairs were selected. Finally, a competing endogenous RNA (ceRNA) network incorporating transcription factors (TFs) was constructed. Results: A total of 25,806 lncRNAs and 19,684 mRNAs were detected, and 7 DELs and 46 DEGs were identified. Five hub genes from the PPI network were also identified. A single overlapping gene, NR4A2, from both the PPI network and mRNA–miRNA–lncRNA pairs was identified. Finally, a ceRNA network incorporating TFs, including one mRNA (NR4A2), one miRNA (hsa-miR-217), three lncRNAs (XIST, MCM3AP-AS1, and C17orf51), and five TFs (SRF, POLR2A, NRF1, MNT, and TCF7L2), was successfully constructed. Conclusions: The proposed ceRNA network and the prediction of TFs in GCs from EM-related infertility revealed differences in GCs from patients with EM. Importantly, the novel TFs, lncRNAs, miRNAs, and mRNAs involved in the ceRNA network might provide new insights into the underlying molecular mechanisms of EM-related infertility.

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