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Analysis of exosomal lncRNA, miRNA and mRNA expression profiles and ceRNA network construction in endometriosis.

Jingni WuHongyan HuangWei HuangLei WangXiaomeng XiaXiaoling Fang
Published in: Epigenomics (2020)
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.
Keyphrases
  • long non coding rna
  • poor prognosis
  • machine learning
  • stem cells
  • network analysis
  • mesenchymal stem cells
  • wastewater treatment
  • long noncoding rna
  • nucleic acid
  • single cell