Systematic Identification and Bioinformatic Analysis of MicroRNAs in Response to Infections of Coxsackievirus A16 and Enterovirus 71

Hand, foot, and mouth disease (HFMD), mainly caused by coxsackievirus A16 (CVA16) and enterovirus 71 (EV71) infections, remains a serious public health issue with thousands of newly diagnostic cases each year since 2008 in China. The mechanisms underlying viral infection, however, are elusive to dat...

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Bibliographic Details
Published in:BioMed research international 2016-01, Vol.2016 (2016), p.1-9
Main Authors: Cui, Lunbiao, Fan, Huan, Qi, Yuhua, Zhu, Zheng, Shi, Zhiyang
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Biomedical research
Cell Line
China
Computational Biology
Coxsackievirus infections
Development and progression
Disease
Enterovirus
Enterovirus - pathogenicity
Enterovirus - physiology
Enterovirus A, Human - pathogenicity
Enterovirus A, Human - physiology
Epidemics
Gene expression
Gene Ontology
Genes
Hand, Foot and Mouth Disease - genetics
Hand, Foot and Mouth Disease - virology
Hepatitis
Host-Pathogen Interactions - genetics
Humans
Infection
Infections
MicroRNA
MicroRNAs
MicroRNAs - genetics
Mortality
Pathogenesis
Pathogens
Physiology
Picornaviridae
Real-Time Polymerase Chain Reaction
Studies
Transcriptome
Viral infections
Virus diseases
Virus Replication - genetics
Viruses
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Summary:Hand, foot, and mouth disease (HFMD), mainly caused by coxsackievirus A16 (CVA16) and enterovirus 71 (EV71) infections, remains a serious public health issue with thousands of newly diagnostic cases each year since 2008 in China. The mechanisms underlying viral infection, however, are elusive to date. In the present study, we systematically investigated the host cellular microRNA (miRNA) expression patterns in response to CVA16 and EV71 infections. Through microarray examination, 27 miRNAs (15 upregulated and 12 downregulated) were found to be coassociated with the replication process of two viruses, while the expression levels of 15 and 5 miRNAs were significantly changed in CVA16- and EV71-infected cells, respectively. A great number of target genes of 27 common differentially expressed miRNAs were predicted by combined use of two computational target prediction algorithms, TargetScan and MiRanda. Comprehensive bioinformatic analysis of target genes in GO categories and KEGG pathways indicated the involvement of diverse biological functions and signaling pathways during viral infection. These results provide an overview of the roles of miRNAs in virus-host interaction, which will contribute to further understanding of HFMD pathological mechanisms.
ISSN:2314-6133
2314-6141
DOI:10.1155/2016/4302470