Identification of Functional lncRNAs Associated With Ovarian Endometriosis Based on a ceRNA Network.

Identification of Functional lncRNAs Associated With Ovarian Endometriosis Based on a ceRNA Network.
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DOI:
10.3389/fgene.2021.534054
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发表时间:
2021
影响因子:
3.7
通讯作者:
Ren W
Ren W
中科院分区:
生物学3区
文献类型:
--
作者:
Bai J;Wang B;Wang T;Ren W

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子宫内膜异位症是一种常见的妇科疾病,影响育龄妇女,然而,这种情况下的机制并不完全清楚。本研究的目的是鉴定与卵巢子宫内膜异位症相关的功能性长链非编码RNA(lncRNA),作为潜在的生物标志物和治疗靶点。卵巢子宫内膜异位症患者的成对异位(EC)和在位(EU)子宫内膜样本的RNA-seq图谱从公开可用的基因表达综合数据库(GEO)下载。利用生物信息学算法构建了卵巢癌相关竞争性内源性RNA(ceRNA)网络并检测功能性lncRNA。共有4,213个mRNA、1,474个lncRNA和221个miRNA被鉴定为在EC和EU样品之间差异表达,并且通过分析这些差异表达的RNA构建了卵巢癌相关的ceRNA网络。通过拓扑特征分析确定H19和GS1-358P8.4为卵巢癌相关的关键lncRNA,使用随机游走重启算法确定RP 11 -96D1.10。基于ceRNA网络的生物信息学分析,我们鉴定了lncRNA H19、GS1-358P8.4和RP 11 -96D1.10与卵巢子宫内膜异位症密切相关。这三种lncRNA具有作为医学治疗靶点和诊断生物标志物的潜力。需要进一步的研究来阐明这些lncRNA在子宫内膜异位症发病机制中的详细生物学功能。
Endometriosis is a common gynecological disease affecting women of reproductive age; however, the mechanisms underlying this condition are not fully clear. The aim of this study was to identify functional long non-coding RNAs (lncRNAs) associated with ovarian endometriosis for potential use as biomarkers and therapeutic targets. RNA-seq profiles of paired ectopic (EC) and eutopic (EU) endometrial samples from patients with ovarian endometriosis were downloaded from the publicly available Gene Expression Omnibus (GEO) database. Bioinformatics algorithms were used to construct a network of ovarian endometriosis-related competing endogenous RNAs (ceRNAs) and to detect functional lncRNAs. A total of 4,213 mRNAs, 1,474 lncRNAs, and 221 miRNAs were identified as being differentially expressed between EC and EU samples, and an ovarian endometriosis-related ceRNA network was constructed through analysis of these differentially expressed RNAs. H19 and GS1-358P8.4 were identified as key ovarian endometriosis-related lncRNAs through topological feature analysis, and RP11-96D1.10 was identified using a random walk with restart algorithm. Based on bioinformatics analysis of a ceRNA network, we identified the lncRNAs H19, GS1-358P8.4, and RP11-96D1.10 as being strongly associated with ovarian endometriosis. These three lncRNAs hold potential as targets for medical therapy and as diagnostic biomarkers. Further studies are needed to elucidate the detailed biological function of these lncRNAs in the pathogenesis of endometriosis.
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