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    Alteration of Protein Levels during Influenza Virus H1N1 Infection in Host Cells:
    a Proteomic Survey of Host and Virus Reveals Differential Dynamics (2014)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Kummer, Susann
    Flöttmann, Max
    Schwanhäusser, Björn
    Sieben, Christian
    Veit, Michael (WE 5)
    Selbach, Matthias
    Klipp, Edda
    Herrmann, Andreas
    Quelle
    PLOS ONE
    Bandzählung: 9
    Heftzählung: 4
    Seiten: e94257
    ISSN: 1932-6203
    Sprache
    Englisch
    Verweise
    URL (Volltext): http://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000020670
    DOI: 10.1371/journal.pone.0094257
    Pubmed: 24718678
    Kontakt
    Institut für Virologie

    Robert-von-Ostertag-Str. 7-13
    14163 Berlin
    +49 30 838 51833
    virologie@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    We studied the dynamics of the proteome of influenza virus A/PR/8/34 (H1N1) infected Madin-Darby canine kidney cells up to 12 hours post infection by mass spectrometry based quantitative proteomics using the approach of stable isotope labeling by amino acids in cell culture (SILAC). We identified 1311 cell proteins and, apart from the proton channel M2, all major virus proteins. Based on their abundance two groups of virus proteins could be distinguished being in line with the function of the proteins in genesis and formation of new virions. Further, the data indicate a correlation between the amount of proteins synthesized and their previously determined copy number inside the viral particle. We employed bioinformatic approaches such as functional clustering, gene ontology, and pathway (KEGG) enrichment tests to uncover co-regulated cellular protein sets, assigned the individual subsets to their biological function, and determined their interrelation within the progression of viral infection. For the first time we are able to describe dynamic changes of the cellular and, of note, the viral proteome in a time dependent manner simultaneously. Through cluster analysis, time dependent patterns of protein abundances revealed highly dynamic up- and/or down-regulation processes. Taken together our study provides strong evidence that virus infection has a major impact on the cell status at the protein level.