Quantitative Proteomics Reveals the Roles of Peroxisome-associated Proteins in Antiviral Innate Immune Responses*
Quantitative Proteomics Reveals the Roles of Peroxisome-associated Proteins in Antiviral Innate Immune Responses*
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.
- State Key Laboratory of Virology China (People's Republic of)
- Medical Research Institute Sri Lanka
- Wuhan University China (People's Republic of)
- Wuhan Institute of Bioengineering China (People's Republic of)
- Wuhan Institute of Virology China (People's Republic of)
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
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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