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Global quantitative proteomic analysis profiles host protein expression in response to Sendai virus infection.
- Source :
-
Proteomics [Proteomics] 2017 Mar; Vol. 17 (5). - Publication Year :
- 2017
-
Abstract
- Sendai virus (SeV) is an enveloped nonsegmented negative-strand RNA virus that belongs to the genus Respirovirus of the Paramyxoviridae family. As a model pathogen, SeV has been extensively studied to define the basic biochemical and molecular biologic properties of the paramyxoviruses. In addition, SeV-infected host cells were widely employed to uncover the mechanism of innate immune response. To identify proteins involved in the SeV infection process or the SeV-induced innate immune response process, system-wide evaluations of SeV-host interactions have been performed. cDNA microarray, siRNA screening and phosphoproteomic analysis suggested that multiple signaling pathways are involved in SeV infection process. Here, to study SeV-host interaction, a global quantitative proteomic analysis was performed on SeV-infected HEK 293T cells. A total of 4699 host proteins were quantified, with 742 proteins being differentially regulated. Bioinformatics analysis indicated that regulated proteins were mainly involved in "interferon type I (IFN-I) signaling pathway" and "defense response to virus," suggesting that these processes play roles in SeV infection. Further RNAi-based functional studies indicated that the regulated proteins, tripartite motif (TRIM24) and TRIM27, affect SeV-induced IFN-I production. Our data provided a comprehensive view of host cell response to SeV and identified host proteins involved in the SeV infection process or the SeV-induced innate immune response process.<br /> (© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
- Subjects :
- Cytoplasm chemistry
Cytoplasm metabolism
Cytoplasm virology
HEK293 Cells virology
Humans
Interferon Type I genetics
Interferon Type I metabolism
Nuclear Proteins analysis
Nuclear Proteins metabolism
Polymerase Chain Reaction methods
Proteome genetics
Proteome metabolism
Proteomics methods
Reproducibility of Results
Respirovirus Infections virology
Transcription Factors metabolism
Tripartite Motif Proteins metabolism
Ubiquitin-Protein Ligases metabolism
Virus Replication
Host-Pathogen Interactions physiology
Proteome analysis
Respirovirus Infections metabolism
Sendai virus pathogenicity
Subjects
Details
- Language :
- English
- ISSN :
- 1615-9861
- Volume :
- 17
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Proteomics
- Publication Type :
- Academic Journal
- Accession number :
- 28067018
- Full Text :
- https://doi.org/10.1002/pmic.201600239