Abstract:
Influenza B virus is a member of Orthomyxoviridae family which can cause influenza in human and affect to worldwide health problem. Systems biology is the computational modeling of molecular systems which is useful to predict how these biological systems change over time and under different conditions. In this study the multiomics was used to study human cellular response to influenza B virus infection. The transcriptome including mRNAs, lncRNAs and miRNAs and proteome were investigated by high-throughput technologies such as next-generation sequencing and mass spectrometry. The results showed that in human cells infected with influenza B virus, transcriptome including mRNAs, lncRNAs and miRNAs and proteome were changed. Some genes were up-regulated responding to the influenza B virus infection for both Victoria and Yamagata lineages. Some were lineage specific. Whereas there was no similar down-regulated genes for both lineages. The MX1 genes was found to be up-regulated in both mRNAs and protein level in both Victoria and Yamagata lineages. For lncRNAs, the response to influenza B virus infection seems to be lineage specifically. The miRNAs profiling also showed the up-regulated and down-regulated miRNAs which were predicted to target several of human genes. In addition, the up-regulated miR-30e-3p was selected for functional study and found that it can directly target viral NA and NP inhibiting influenza B virus production.
