Quantitative phosphoproteomic analysis of host responses in human lung epithelial (A549) cells during influenza virus infection

被引:20
|
作者
Dapat, Clyde [1 ]
Saito, Reiko [1 ]
Suzuki, Hiroshi [2 ]
Horigome, Tsuneyoshi [3 ]
机构
[1] Niigata Univ, Grad Sch Med & Dent Sci, Div Int Hlth Publ Hlth, Niigata 9518510, Japan
[2] Niigata Seiryo Univ, Sch Nursing, Niigata, Japan
[3] Niigata Univ, Dept Chem, Fac Sci, Niigata 9518510, Japan
关键词
Influenza A virus; Quantitative phosphoproteomics; Host cell response; LC-MS/MS; iTRAQ; LARGE GENE LISTS; INTERACTION NETWORKS; PROTEOMIC ANALYSES; LIFE-CYCLE; REPLICATION; RESISTANCE; H1N1; EXPRESSION; CYTOSCAPE; PATHWAYS;
D O I
10.1016/j.virusres.2013.11.012
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The emergence of antiviral drug-resistant influenza viruses highlights the need for alternative therapeutic strategies. Elucidation of host factors required during virus infection provides information not only on the signaling pathways involved but also on the identification of novel drug targets. RNA interference screening method had been utilized by several studies to determine these host factors; however, proteomics data on influenza host factors are currently limited. In this study, quantitative phosphoproteomic analysis of human lung cell line (A549) infected with 2009 pandemic influenza virus A (H1N1) virus was performed. Phosphopeptides were enriched from tryptic digests of total protein of infected and mock-infected cells using a titania column on an automated purification system followed by iTRAQ labeling. Identification and quantitative analysis of iTRAQ-labeled phosphopeptides were performed using LC-MS/MS. We identified 366 phosphorylation sites on 283 proteins. Of these, we detected 43 upregulated and 35 downregulated proteins during influenza virus infection. Gene ontology enrichment analysis showed that majority of the identified proteins are phosphoproteins involved in RNA processing, immune system process and response to infection. Host-virus interaction network analysis had identified 23 densely connected subnetworks. Of which, 13 subnetworks contained proteins with altered phosphorylation levels during by influenza virus infection. Our results will help to identify potential drug targets that can be pursued for influenza antiviral drug development. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:53 / 63
页数:11
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