Transcriptome sequencing identified the ceRNA network associated with recurrent spontaneous abortion.

Abstract

BACKGROUND:

Recurrent spontaneous abortion (RSA) is one of the common complication of pregnancy, bringing heavy burden to the patients and their families. The study aimed to explore the lncRNA-miRNA-mRNA network associated with recurrent spontaneous abortion.

METHODS:

By transcriptome sequencing, we detected differences in lncRNA, miRNA and mRNA expression in villus tissue samples collected from 3 patients with RSA and 3 normal abortion patients. Differentially expressed lncRNAs, miRNAs and genes (DELs, DEMs and DEGs, respectively) were identified, and Geno Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to determine the functions of DELs and DEGs, which were analysed by Fisher's test. We also observed the regulatory relationships between miRNA-mRNA and lncRNA-miRNA by Cytoscape 3.6.1.

RESULTS:

The results showed that 1008 DELs (523 upregulated and 485 downregulated), 475 DEGs (201 upregulated and 274 downregulated) and 37 DEMs (15 upregulated and 22 downregulated) were identified. And we also constructed a novel lncRNA-related ceRNA network containing 31 lncRNAs, 1 miRNA (hsa-miR-210-5p) and 3 genes (NTNG2, GRIA1 and AQP1).

CONCLUSIONS:

lncRNA-related ceRNA network containing 31 lncRNAs, 1 miRNA (hsa-miR-210-5p) and 3 mRNAs (NTNG2, GRIA1 and AQP1) was constructed. The results may provide a basic theory for elucidating the mechanism underlying RSA.

• Authors: Yong Huang, Jiayuan Hao, Yuan Liao, Lihua Zhou, Kaiju Wang, Hui Zou, Ying Hu, Juan Li
• Journal: BMC medical genomics (BMC Med Genomics) Vol. 14 Issue 1 Pg. 278 (11 23 2021) ISSN: 1755-8794 [Electronic] England
• PMID: 34814929 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: © 2021. The Author(s).

Chemical References

• MicroRNAs
• RNA, Long Noncoding
• RNA, Messenger

Topics

• Abortion, Spontaneous
• Female
• Gene Regulatory Networks
• Humans
• MicroRNAs (genetics, metabolism)
• Pregnancy
• RNA, Long Noncoding (genetics, metabolism)
• RNA, Messenger (genetics, metabolism)
• Transcriptome