| Literature DB >> 26651948 |
Shashank Tripathi1, Marie O Pohl2, Yingyao Zhou3, Ariel Rodriguez-Frandsen4, Guojun Wang5, David A Stein6, Hong M Moulton6, Paul DeJesus4, Jianwei Che3, Lubbertus C F Mulder5, Emilio Yángüez2, Dario Andenmatten2, Lars Pache4, Balaji Manicassamy5, Randy A Albrecht5, Maria G Gonzalez5, Quy Nguyen4, Abraham Brass7, Stephen Elledge8, Michael White9, Sagi Shapira10, Nir Hacohen11, Alexander Karlas12, Thomas F Meyer12, Michael Shales13, Andre Gatorano4, Jeffrey R Johnson13, Gwen Jang13, Tasha Johnson13, Erik Verschueren13, Doug Sanders13, Nevan Krogan13, Megan Shaw5, Renate König14, Silke Stertz15, Adolfo García-Sastre16, Sumit K Chanda17.
Abstract
Several systems-level datasets designed to dissect host-pathogen interactions during influenza A infection have been reported. However, apparent discordance among these data has hampered their full utility toward advancing mechanistic and therapeutic knowledge. To collectively reconcile these datasets, we performed a meta-analysis of data from eight published RNAi screens and integrated these data with three protein interaction datasets, including one generated within the context of this study. Further integration of these data with global virus-host interaction analyses revealed a functionally validated biochemical landscape of the influenza-host interface, which can be queried through a simplified and customizable web portal (http://www.metascape.org/IAV). Follow-up studies revealed that the putative ubiquitin ligase UBR4 associates with the viral M2 protein and promotes apical transport of viral proteins. Taken together, the integrative analysis of influenza OMICs datasets illuminates a viral-host network of high-confidence human proteins that are essential for influenza A virus replication.Entities:
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Year: 2015 PMID： 26651948 PMCID： PMC4829074 DOI： 10.1016/j.chom.2015.11.002
Source DB: PubMed Journal: Cell Host Microbe ISSN： 1931-3128 Impact factor: 21.023