Evidence map›Paper›PMID 26124285›Full record

ArticleMolecular & cellular proteomics : MCP2015

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

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

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Proteomics in Inherited Metabolic Disorders.International journal of molecular sciences · 2022
    Review
  3. Article
  4. Article
  5. Peroxisomes in host defense.PLoS pathogens · 2020
    Article
  6. Article
  7. Peroxisomes in Immune Response and Inflammation.International journal of molecular sciences · 2019
    Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Mao-Tian ZhouFrom the ‡State Key Laboratory of Virology, College of Life Sciences;
Yue QinFrom the ‡State Key Laboratory of Virology, College of Life Sciences; §Medical Research Institute, Wuhan University;
Mi LiFrom the ‡State Key Laboratory of Virology, College of Life Sciences; §Medical Research Institute, Wuhan University;
Chen ChenFrom the ‡State Key Laboratory of Virology, College of Life Sciences;
Xi Chen¶Wuhan Institute of Biotechnology, Wuhan, China.
Hong-Bing ShuFrom the ‡State Key Laboratory of Virology, College of Life Sciences; §Medical Research Institute, Wuhan University; guol@whu.edu.cn shuh@whu.edu.cn.
Lin GuoFrom the ‡State Key Laboratory of Virology, College of Life Sciences; guol@whu.edu.cn shuh@whu.edu.cn.
Institute of Virology of the Slovak Academy of Sciences · SKState Key Laboratory of VirologyWuhan University · CNWuhan Institute of Bioengineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Antigens, NeoplasmBiomarkers, TumorCalcium-Binding ProteinsCarrier ProteinsComputational BiologyExtracellular Matrix ProteinsGene Expression RegulationGlycoproteinsHep G2 CellsHumansImmunity, InnateInterferonsPeroxisomesProteomicsRespirovirus InfectionsSendai virusAntigens, NeoplasmBiomarkers, TumorCalcium-Binding ProteinsCALU protein, humanCarrier ProteinsExtracellular Matrix ProteinsGlycoproteinsInterferonsLGALS3BP protein, human

Identifiers

PMID26124285
PMCPMC4563733
OpenAlexW2153926022

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.