Identification of Crucial lncRNAs, miRNAs, mRNAs, and Potential Therapeutic Compounds for Polycystic Ovary Syndrome by Bioinformatics Analysis
Joint Authors
Zeng, Zhi
Lin, Xia
Xia, Tingting
Tian, Xiaohui
Li, Manchao
Liu, Wenxiu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-06
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Background.
This study was aimed at mining crucial long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) for the development of polycystic ovary syndrome (PCOS) based on the coexpression and the competitive endogenous RNA (ceRNA) theories and investigating the underlying therapeutic drugs that may function by reversing the expression of lncRNAs, miRNAs, and mRNAs.
Methods.
RNA (GSE106724, GSE114419, GSE137684, and GSE138518) or miRNA (GSE84376 and GSE138572) expression profile datasets of PCOS patients were downloaded from the Gene Expression Omnibus database.
The weighted gene coexpression network analysis (WGCNA) using four RNA datasets was conducted to construct the lncRNA-mRNA coexpression networks, while the common differentially expressed miRNAs in two miRNA datasets and module RNAs were used to establish the ceRNA network.
A protein-protein interaction (PPI) network was created to explore the potential interactions between genes.
Gene Ontology and KEGG pathway enrichment analyses were performed to explore the functions of genes in networks.
Connectivity Map (CMap) and Comparative Toxicogenomics Database (CTD) analyses were performed to identify potential therapeutic agents for PCOS.
Results.
Three modules (black, magenta, and yellow) were identified to be PCOS-related after WGCNA analysis, in which KLF3-AS1-PLCG2, MAPKAPK5-AS1-MAP3K14, and WWC2-AS2-TXNIP were important coexpression relationship pairs.
WWC2-AS2-hsa-miR-382-PLCG2 was a crucial ceRNA loop in the ceRNA network.
The PPI network showed that MAP3K14 and TXNIP could interact with hub genes PLK1 (degree=21) and TLR1 (degree=18), respectively.
These genes were enriched into mitosis (PLK1), immune response (PLCG2 and TLR1), and cell cycle (TXNIP and PLK1) biological processes.
Ten small molecule drugs (especially quercetin) were considered to be therapeutical for PCOS.
Conclusion.
Our study may provide a novel insight into the mechanisms and therapy for PCOS.
American Psychological Association (APA)
Zeng, Zhi& Lin, Xia& Xia, Tingting& Liu, Wenxiu& Tian, Xiaohui& Li, Manchao. 2020. Identification of Crucial lncRNAs, miRNAs, mRNAs, and Potential Therapeutic Compounds for Polycystic Ovary Syndrome by Bioinformatics Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1131968
Modern Language Association (MLA)
Zeng, Zhi…[et al.]. Identification of Crucial lncRNAs, miRNAs, mRNAs, and Potential Therapeutic Compounds for Polycystic Ovary Syndrome by Bioinformatics Analysis. BioMed Research International No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1131968
American Medical Association (AMA)
Zeng, Zhi& Lin, Xia& Xia, Tingting& Liu, Wenxiu& Tian, Xiaohui& Li, Manchao. Identification of Crucial lncRNAs, miRNAs, mRNAs, and Potential Therapeutic Compounds for Polycystic Ovary Syndrome by Bioinformatics Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1131968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131968