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Molecular & Cellular Proteomics
Article . 2015 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Molecular & Cellular Proteomics
Article
License: CC BY
Data sources: UnpayWall
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Quantitative Proteomics Reveals the Roles of Peroxisome-associated Proteins in Antiviral Innate Immune Responses*

Authors: Mao-Tian, Zhou; Yue, Qin; Mi, Li; Chen, Chen; Xi, Chen; Hong-Bing, Shu; Lin, Guo;

Quantitative Proteomics Reveals the Roles of Peroxisome-associated Proteins in Antiviral Innate Immune Responses*

Abstract

Compared with whole-cell proteomic analysis, subcellular proteomic analysis is advantageous not only for the increased coverage of low abundance proteins but also for generating organelle-specific data containing information regarding dynamic protein movement. In the present study, peroxisome-enriched fractions from Sendai virus (SeV)-infected or uninfected HepG2 cells were obtained and subjected to quantitative proteomics analysis. We identified 311 proteins that were significantly changed by SeV infection. Among these altered proteins, 25 are immune response-related proteins. Further bioinformatic analysis indicated that SeV infection inhibits cell cycle-related proteins and membrane attack complex-related proteins, all of which are beneficial for the survival and replication of SeV within host cells. Using Luciferase reporter assays on several innate immune-related reporters, we performed functional analysis on 11 candidate proteins. We identified LGALS3BP and CALU as potential negative regulators of the virus-induced activation of the type I interferons.

Related Organizations
Keywords

Proteomics, Calcium-Binding Proteins, Computational Biology, Hep G2 Cells, Virus Replication, Respirovirus Infections, Sendai virus, Immunity, Innate, Gene Expression Regulation, Antigens, Neoplasm, Biomarkers, Tumor, Peroxisomes, Humans, Interferons, Carrier Proteins, Glycoproteins

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Average
Top 10%
gold