Literature DB >> 28067018

Global quantitative proteomic analysis profiles host protein expression in response to Sendai virus infection.

Sheng-Lin Zhu1, Xi Chen2,3, Liang-Jie Wang4, Wei-Wei Wan1, Qi-Lin Xin1, Wei Wang1, Gengfu Xiao1, Lei-Ke Zhang1.   

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.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Innate immune response; Quantitative proteomics; Sendai virus; Virus-host interaction

Mesh:

Substances:

Year:  2017        PMID: 28067018     DOI: 10.1002/pmic.201600239

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Identification of key genes and signaling pathways during Sendai virus infection in vitro.

Authors:  Wenqiang Wei; Wanting Kong
Journal:  Braz J Microbiol       Date:  2018-12-17       Impact factor: 2.476

2.  Comprehensive Interactome Analysis Reveals that STT3B Is Required for N-Glycosylation of Lassa Virus Glycoprotein.

Authors:  Shenglin Zhu; Weiwei Wan; Yanjun Zhang; Weijuan Shang; Xiaoyan Pan; Lei-Ke Zhang; Gengfu Xiao
Journal:  J Virol       Date:  2019-11-13       Impact factor: 5.103

3.  Global Phosphoproteomics Analysis of IBRS-2 Cells Infected With Senecavirus A.

Authors:  Jieyi Li; Zhongwang Zhang; Jianliang Lv; Zhongyuan Ma; Li Pan; Yongguang Zhang
Journal:  Front Microbiol       Date:  2022-01-26       Impact factor: 5.640

4.  Unified feature association networks through integration of transcriptomic and proteomic data.

Authors:  Ryan S McClure; Jason P Wendler; Joshua N Adkins; Jesica Swanstrom; Ralph Baric; Brooke L Deatherage Kaiser; Kristie L Oxford; Katrina M Waters; Jason E McDermott
Journal:  PLoS Comput Biol       Date:  2019-09-17       Impact factor: 4.475

5.  A Subcellular Quantitative Proteomic Analysis of Herpes Simplex Virus Type 1-Infected HEK 293T Cells.

Authors:  Weiwei Wan; Liangjie Wang; Xi Chen; Shenglin Zhu; Weijuan Shang; Gengfu Xiao; Lei-Ke Zhang
Journal:  Molecules       Date:  2019-11-20       Impact factor: 4.411

  5 in total

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