학술논문
Identification of differentially expressed genes in asthma by bioinformatics analysis
Document Type
Article
Author
Source
Medical Research. Vol. 3 Issue 2, p28-36. 9 p.
Subject
Language
英文
ISSN
2664-0333
Abstract
Objective: Asthma is a common inflammatory disease of the airway, and its underlying mechanism is complex. The role of microRNAs (miRNAs) in asthma is unclear. The present study aimed to investigate miRNA-mRNA regulatory networks underlying asthma. Methods: One microarray dataset was downloaded from the Gene Expression Omnibus (GEO) database. Differential expression of miRNAs (DEMs) was identified in bronchial epithelial cells (BECs) isolated from healthy donors and patients with asthma. MiRTarBase, mirDIP, and miRDB were used to predict target genes, followed by protein-protein interaction (PPI) network analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and Gene Ontology (GO) analysis; cytoHubba was used to predict the important nodes in the network. The miRNA-hub genes sub-network of interest was determined. Results: This study constructed an asthma-associated miRNA-mRNA network, in which seven key miRNAs and 10 hub genes were identified. Conclusions: The novel miRNAs and hub genes identified in the present study could be potential diagnostic and treatment biomarkers for asthma.