Identification and validation of long non-coding RNA associated ceRNAs in intrauterine adhesion

Bioengineered. 2022 Jan;13(1):1039-1048. doi: 10.1080/21655979.2021.2017578.

Abstract

Intrauterine adhesion (IUA) is an endometrial fibrotic disease with unclear pathogenesis. Increasing evidence suggested the important role of competitive endogenous RNA (ceRNA) in diseases. This study aimed to identify and verify the key long non-coding RNA (lncRNA) associated-ceRNAs in IUA. The lncRNA/mRNA expression file was obtained by transcriptome sequencing of IUA and normal samples. The microRNAs expression date was downloaded from the Gene Expression Omnibus database. Differential expressions of mRNAs, lncRNAs and miRNAs were analyzed using the DESeq2 (2010) R package. Protein interaction network was constructed to explore hub genes. TargetScan and miRanda databases were used to predicate the interaction. Enrichment analysis in Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were performed to identify the biological functions of ceRNAs. Regression analysis of ceRNAs' expression level was performed. There were 915 mRNAs and 418 lncRNAs differentially expressed. AURKA, CDC20, IL6, ASPM, CDCA8, BIRC5, UBE2C, H2AFX, RRM2 and CENPE were identified as hub genes. The ceRNAs network, including 28 lncRNAs, 28 miRNAs, and 299 mRNAs, was constructed. Regression analysis showed a good positive correlation between ceRNAs expression levels (r > 0.700, p < 0.001). The enriched functions include ion transmembrane transport, focal adhesion, cAMP signaling pathway and cGMP-PKG signaling pathway. The novel lncRNA-miRNA-mRNA network in IUA was excavated. Crucial lncRNAs such as ADIRF-AS1, LINC00632, DIO3OS, MBNL1-AS1, MIR1-1HG-AS1, AC100803.2 was involved in the development of IUA. cGMP-PKG signaling pathway and ion transport might be new directions for IUA pathogenesis research.

Keywords: Intrauterine adhesion; bioinformatics analysis; competitive endogenous RNA network; correlation analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Case-Control Studies
  • Computational Biology / methods*
  • Databases, Genetic
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation
  • Gene Regulatory Networks*
  • Humans
  • MicroRNAs / genetics
  • RNA, Long Noncoding / genetics*
  • Tissue Adhesions
  • Uterine Diseases / genetics*

Substances

  • MicroRNAs
  • RNA, Long Noncoding

Grants and funding

This work was funded by Grants from the National Natural Science Foundation of China (Grant No 81471417).