Analysis of Exosomal lncRNA, miRNA and mRNA Expression Profiles and ceRNA Network Construction in Endometriosis

Jingni Wu, Huang H, Hongyan Huang, Wei Huang, Huang W, Lei Wang, Wang L, Xiaomeng Xia, Xiaoling Fang
Epigenomics · 2020 · vol. 12(14) , pp. 1193–1213 · doi:10.2217/epi-2020-0084 · PMID:32462942 · W3042078288
article OA: closed CC0 ⤵ 31 in-corpus citations
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This study identified differentially expressed exosomal lncRNAs, miRNAs, and mRNAs in endometriosis and constructed ceRNA networks, revealing potential biomarkers and molecular mechanisms.

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Abstract

Aim: To investigate exosomal RNAs (long noncoding RNAs (lncRNAs), microRNAs (miRNAs) and messenger RNAs (mRNAs)) profiling and their related networks in endometriosis (EMs). Materials & methods: RNA sequence was performed in exosomes from ovarian endometriomas (EC), eutopic endometria (EU) and normal endometria (Control) stromal cells. The bioinformatics algorithms evaluated competing endogenous RNA (ceRNA) networks. The top-ranked ceRNA networks were confirmed by RT-PCR. Results: Overlapped differentially expressed 938 lncRNAs, 39 miRNAs and 1449 mRNAs were identified. 13 co-expression modules and 61 ceRNA networks were constructed. Conclusion: This study for the first time shows exosomal RNA biomarkers and lncRNA-related networks in EMs, which reveals a novel molecular mechanism of EMs and provides new resources for EM diagnosis and treatment.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Gene Regulatory Networks MicroRNAs RNA, Long Noncoding RNA, Messenger Biomarkers, Tumor Biomarkers, Tumor Computational Biology Endometriosis Exosomes Female Gene Expression Profiling Humans MicroRNAs RNA, Long Noncoding RNA, Messenger

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