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

ABSTRACT:

Background

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.

Methods

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.

Results

A total of 4,213 mRNAs, 1,474 lncRNAs, and 221 miRNAs wer

SUBMITTER: Bai J 

PROVIDER: S-EPMC7873467 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature