DOI 10.3390/epigenomes10020041
Remodelling of miRNA Regulatory Landscape During West Nile Virus (WNV) Infection.
Аннотация
Background/
Objectives
West Nile virus (WNV) remains a significant threat to human health, with no approved antiviral treatments or vaccine available. A better understanding of the molecular mechanisms governing flavivirus-host interactions is needed to identify host regulatory pathways involved in infection. This study aimed to investigate how WNV infection remodels the host miRNA-mRNA regulatory landscape.
Methods
WNV-induced changes in host miRNA expression in HEK-293 cells were profiled using miRNA-Seq. Transcriptome-wide host gene expression changes in WNV-infected cells were analysed using RNA-Seq. Gene Ontology and pathway enrichment analyses were conducted using DAVID. Integrated miRNA-mRNA network reconstruction was performed using Cytoscape based on the experimentally validated miRNA-mRNA interactions in miRNet database.
Results
WNV infection induced global changes in host miRNA expression, with pathogenic NY99 and non-pathogenic Kunjin strains of the virus producing overlapping and strain-specific alterations in the miRNA landscape. Transcriptome analysis showed strong induction of interferon-related responses and activation of NF-κB and MAPK signalling pathways in the infected cells. In contrast, pathways associated with RNA processing, splicing, and proteasomal degradation were downregulated. Integrated miRNA-mRNA network analysis identified miR-197-3p, miR-301b-3p, miR-129-3p, miR-3662, and miR-128-5p as candidate regulatory hubs involved in WNV-induced transcriptome remodelling. These networks suggested that miRNA-mediated regulation may influence antiviral signalling, apoptosis, and RNA metabolism during infection.
Conclusions
These findings suggest that WNV infection broadly remodels host miRNA-mRNA regulatory networks and identifies candidate miRNAs that may contribute to the regulation of antiviral and cellular stress responses. These predicted regulatory interactions provide a foundation for future experimental validation.
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