Next-generation sequencing analysis of cellular response to influenza B virus infection

  • Zizhang Sheng
  • , Chen Huang
  • , Runxia Liu
  • , Yicheng Guo
  • , Zhiguang Ran
  • , Feng Li
  • , Dan Wang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Influenza B virus (IBV) is a respiratory pathogen that infects humans and causes seasonal influenza epidemics. However, cellular response to IBV infection in humans and mechanisms of host-mediated restriction of IBV replication are not thoroughly understood. In this study, we used next-generation sequencing (NGS) to perform transcriptome profiling of IBV-infected human lung epithelial A549 cells at 0, 6, 12, and 24 h post infection (hpi) and characterized the cellular gene expression dynamics. We observed that more than 4000 host genes were differentially regulated during the study period, which included up regulation of genes encoding proteins, having a role in the innate antiviral immune responses, immune activation, cellular metabolism, autophagy, and apoptosis, as well as down regulation of genes involved in mitosis and cell proliferation. Further analysis of RNA-Seq data coupled with RT-qPCR validation collectively showed that double-strand RNA recognition pathways, including retinoic acid-inducible gene I (RIG-I) and Toll-like receptor 3 (TLR3), were substantially activated following IBV infection. Taken together, these results provide important initial insights into the intimate interaction between IBV and lung epithelial cells, which can be further explored towards elucidation of the cellular mechanisms in restriction or elimination of IBV infections in humans.

Original languageEnglish
Article number383
JournalViruses
Volume12
Issue number4
DOIs
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 by the authors.

Funding

Funding: The study was funded in part by NIH AI121906 (sub-award to D.W.), South Dakota Agricultural Experiment Station (3AH-673 to F.L.), the National Science Foundation/EPSCoR Cooperative Agreement #IIA-1355423, the South Dakota Research and Innovation Center, and BioSNTR.

FundersFunder number
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China
National Institutes of Health (NIH)
South Dakota Research and Innovation Center
Office of Experimental Program to Stimulate Competitive Research1355423
South Dakota Agricultural Experiment Station3AH-673
Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious DiseasesR21AI121906

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Infection
    • Influenza B virus
    • Innate immune response
    • RNA-Seq

    ASJC Scopus subject areas

    • Infectious Diseases
    • Virology

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