Integrative gene network analysis identifies key signatures, intrinsic networks and host factors for influenza virus A infections

Christian V. Forst, Bin Zhou, Minghui Wang, Tsui Wen Chou, Guy Mason, Won min Song, Eric Schadt, Elodie Ghedin, Bin Zhang

Research output: Contribution to journalArticle

Abstract

Influenza A virus, with the limited coding capacity of 10–14 proteins, requires the host cellular machinery for many aspects of its life cycle. Knowledge of these host cell requirements not only reveals molecular pathways exploited by the virus or triggered by the immune system, but also provides further targets for antiviral drug development. To uncover novel pathways and key targets of influenza infection, we assembled a large amount of data from 12 cell-based gene-expression studies of influenza infection for an integrative network analysis. We systematically identified differentially expressed genes and gene co-expression networks induced by influenza infection. We revealed the dedicator of cytokinesis 5 (DOCK5) played potentially an important role for influenza virus replication. CRISPR/Cas9 knockout of DOCK5 reduced influenza virus replication, indicating that DOCK5 is a key regulator for the viral life cycle. DOCK5’s targets determined by the DOCK5 knockout experiments strongly validated the predicted gene signatures and networks. This study systematically uncovered and validated fundamental patterns of molecular responses, intrinsic structures of gene co-regulation, and novel key targets in influenza virus infection.

Original languageEnglish (US)
Article number35
Journalnpj Systems Biology and Applications
Volume3
Issue number1
DOIs
StatePublished - Dec 1 2017

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Gene Networks
Cytokinesis
Gene Regulatory Networks
Influenza
Network Analysis
Virus Diseases
Electric network analysis
Orthomyxoviridae
Viruses
Virus
Infection
Signature
Genes
Human Influenza
Virus Replication
Life Cycle Stages
Clustered Regularly Interspaced Short Palindromic Repeats
Gene
Target
Life cycle

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Drug Discovery

Cite this

Integrative gene network analysis identifies key signatures, intrinsic networks and host factors for influenza virus A infections. / Forst, Christian V.; Zhou, Bin; Wang, Minghui; Chou, Tsui Wen; Mason, Guy; Song, Won min; Schadt, Eric; Ghedin, Elodie; Zhang, Bin.

In: npj Systems Biology and Applications, Vol. 3, No. 1, 35, 01.12.2017.

Research output: Contribution to journalArticle

Forst, Christian V. ; Zhou, Bin ; Wang, Minghui ; Chou, Tsui Wen ; Mason, Guy ; Song, Won min ; Schadt, Eric ; Ghedin, Elodie ; Zhang, Bin. / Integrative gene network analysis identifies key signatures, intrinsic networks and host factors for influenza virus A infections. In: npj Systems Biology and Applications. 2017 ; Vol. 3, No. 1.
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