Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis

Joint Authors

Lu, Chen
He, Siying
Dong, Shiqi
Qiao, Chen
Xu, Yuting
Wu, Xiying
Yan, Ming
Zheng, Fang

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-23

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Medicine

Abstract EN

Purpose.

The competing endogenous RNA (ceRNA) network regulatory has been investigated in the occurrence and development of many diseases.

This research aimed at identifying the key RNAs of ceRNA network in pterygium and exploring the underlying molecular mechanism.

Methods.

Differentially expressed long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and mRNAs were obtained from the Gene Expression Omnibus (GEO) database and analyzed with the R programming language.

LncRNA and miRNA expressions were extracted and pooled by the GEO database and compared with those in published literature.

The lncRNA-miRNA-mRNA network was constructed of selected lncRNAs, miRNAs, and mRNAs.

Metascape was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses on mRNAs of the ceRNA network and to perform Protein-Protein Interaction (PPI) Network analysis on the String website to find candidate hub genes.

The Comparative Toxicogenomic Database (CTD) was used to find hub genes closely related to pterygium.

The differential expressions of hub genes were verified using the reverse transcription-real-time fluorescent quantitative PCR (RT-qPCR).

Result.

There were 8 lncRNAs, 12 miRNAs, and 94 mRNAs filtered to construct the primary ceRNA network.

A key lncRNA LIN00472 ranking the top 1 node degree was selected to reconstruct the LIN00472 network.

The GO and KEGG pathway enrichment showed the mRNAs in ceRNA networks mainly involved in homophilic cell adhesion via plasma membrane adhesion molecules, developmental growth, regulation of neuron projection development, cell maturation, synapse assembly, central nervous system neuron differentiation, and PID FOXM1 PATHWAY.

According to the Protein-Protein Interaction Network (PPI) analysis on mRNAs in LINC00472 network, 10 candidate hub genes were identified according to node degree ranking.

Using the CTD database, we identified 8 hub genes closely related to pterygium; RT-qPCR verified 6 of them were highly expressed in pterygium.

Conclusion.

Our research found LINC00472 might regulate 8 hub miRNAs (miR-29b-3p, miR-183-5p, miR-138-5p, miR-211-5p, miR-221-3p, miR-218-5p, miR-642a-5p, miR-5000-3p) and 6 hub genes (CDH2, MYC, CCNB1, RELN, ERBB4, RB1) in the ceRNA network through mainly PID FOXM1 PATHWAY and play an important role in the development of pterygium.

American Psychological Association (APA)

Xu, Yuting& Qiao, Chen& He, Siying& Lu, Chen& Dong, Shiqi& Wu, Xiying…[et al.]. 2020. Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis. BioMed Research International،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1132461

Modern Language Association (MLA)

Xu, Yuting…[et al.]. Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis. BioMed Research International No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1132461

American Medical Association (AMA)

Xu, Yuting& Qiao, Chen& He, Siying& Lu, Chen& Dong, Shiqi& Wu, Xiying…[et al.]. Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1132461

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1132461