Identification of Infertility-Associated Topologically Important Genes Using Weighted Co-expression Network Analysis

Overview

Journal Front Genet

Date 2021 Feb 22

PMID 33613630

Citations 2

Authors

Jingni Wu

Xiaomeng Xia

Ye Hu

Xiaoling Fang

Sandra Orsulic

Affiliations

Soon will be listed here.

Abstract

Endometriosis has been associated with a high risk of infertility. However, the underlying molecular mechanism of infertility in endometriosis remains poorly understood. In our study, we aimed to discover topologically important genes related to infertility in endometriosis, based on the structure network mining. We used microarray data from the Gene Expression Omnibus (GEO) database to construct a weighted gene co-expression network for fertile and infertile women with endometriosis and to identify gene modules highly correlated with clinical features of infertility in endometriosis. Additionally, the protein-protein interaction network analysis was used to identify the potential 20 hub messenger RNAs (mRNAs) while the network topological analysis was used to identify nine candidate long non-coding RNAs (lncRNAs). Functional annotations of clinically significant modules and lncRNAs revealed that hub genes might be involved in infertility in endometriosis by regulating G protein-coupled receptor signaling (GPCR) activity. Gene Set Enrichment Analysis showed that the phospholipase C-activating GPCR signaling pathway is correlated with infertility in patients with endometriosis. Taken together, our analysis has identified 29 hub genes which might lead to infertility in endometriosis through the regulation of the GPCR network.

Citing Articles

The Role of Long Non-Coding RNAs in Endometriosis.

Hudson Q, Proestling K, Perricos A, Kuessel L, Husslein H, Wenzl R Int J Mol Sci. 2021; 22(21).

PMID: 34768856 PMC: 8583837. DOI: 10.3390/ijms222111425.

Transcriptome Analysis of In Vitro Fertilization and Parthenogenesis Activation during Early Embryonic Development in Pigs.

Li X, Zou C, Li M, Fang C, Li K, Liu Z Genes (Basel). 2021; 12(10).

PMID: 34680856 PMC: 8535918. DOI: 10.3390/genes12101461.

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