Bioinformatics analysis of differential gene expression in HEp-2 cells infected with human respiratory syncytial virus
10.3760/cma.j.cn112866-20200302-00037
- VernacularTitle:人呼吸道合胞病毒感染HEp-2细胞差异表达基因的生物信息学分析
- Author:
Yanbin SU
1
;
Yong LIU
;
Ye WANG
;
Shuo WANG
;
Junyu XUE
;
Tianxiao ZHANG
;
Xianglei PENG
;
Yanpeng ZHENG
;
Lishu ZHANG
;
Yuanhui FU
;
Jinsheng HE
Author Information
1. 北京交通大学生命科学与生物工程研究院 100044
- Keywords:
Human respiratory syncytial virus;
Bioinformatics;
Signaling pathway
- From:
Chinese Journal of Experimental and Clinical Virology
2021;35(5):575-580
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To find clues potentially valuable for fighting against infection with human respiratory syncytial virus (HRSV), the differentially expressed genes in HEp-2 cells infected with HRSV were analyzed.Methods:Gene expression profiles of HEp-2 cells infected with HRSV were collected from the public gene expression omnibus (GEO) database. The differentially expressed genes following HRSV infection at each time point of 4, 8, 12, and 15 hours were found using R language. The differentially expressed genes were analyzed by gene ontology (GO), KEGG pathway and protein-protein interaction network (PPI). Genes with relatively high protein interaction in PPI were randomly selected for quantitative reverse transcription-polymerase chain reaction (qRT-PCR) verification at the transcription level from HEp-2 cells after HRSV infection at 4 hours.Results:A total of 101 differentially expressed genes were determined, including 92 upregulated genes and 9 downregulated genes. Function enrichment analysis revealed that HRSV infection could cause significant changes in multiple signaling pathways such as immune response in HEp-2 cells. The results of qRT-PCR were consistent with the trend of transcriptome data.Conclusions:The differentially expressed genes and the change of signaling pathways in HRSV-infected HEp-2 cells is of great significance to the studies on pathogenic mechanism and prevention of HRSV infection.
