Evidence map›Paper›PMID 24671231›Full record

ArticlePloS one2014

High-throughput quantitative proteomic analysis of dengue virus type 2 infected A549 cells.

Han-Chen Chiu, Holger Hannemann, Kate J Heesom, David A Matthews, Andrew D Davidson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Han-Chen ChiuSchool of Cellular and Molecular Medicine Faculty of Medical and Veterinary Sciences, University of Bristol, Bristol, United Kingdom.
Holger HannemannSchool of Cellular and Molecular Medicine Faculty of Medical and Veterinary Sciences, University of Bristol, Bristol, United Kingdom.
Kate J HeesomProteomics Facility, Faculty of Medical and Veterinary Sciences, University of Bristol, Bristol, United Kingdom.
David A MatthewsSchool of Cellular and Molecular Medicine Faculty of Medical and Veterinary Sciences, University of Bristol, Bristol, United Kingdom.
Andrew D DavidsonSchool of Cellular and Molecular Medicine Faculty of Medical and Veterinary Sciences, University of Bristol, Bristol, United Kingdom.
University of Bristol · GB

Funding

Medical Research Council G0801973
6 · The paper itself

Abstract

Disease caused by dengue virus is a global health concern with up to 390 million individuals infected annually worldwide. There are no vaccines or antiviral compounds available to either prevent or treat dengue disease which may be fatal. To increase our understanding of the interaction of dengue virus with the host cell, we analyzed changes in the proteome of human A549 cells in response to dengue virus type 2 infection using stable isotope labelling in cell culture (SILAC) in combination with high-throughput mass spectrometry (MS). Mock and infected A549 cells were fractionated into nuclear and cytoplasmic extracts before analysis to identify proteins that redistribute between cellular compartments during infection and reduce the complexity of the analysis. We identified and quantified 3098 and 2115 proteins in the cytoplasmic and nuclear fractions respectively. Proteins that showed a significant alteration in amount during infection were examined using gene enrichment, pathway and network analysis tools. The analyses revealed that dengue virus infection modulated the amounts of proteins involved in the interferon and unfolded protein responses, lipid metabolism and the cell cycle. The SILAC-MS results were validated for a select number of proteins over a time course of infection by Western blotting and immunofluorescence microscopy. Our study demonstrates for the first time the power of SILAC-MS for identifying and quantifying novel changes in cellular protein amounts in response to dengue virus infection.

Indexed as

Adaptor Proteins, Signal TransducingCarrier ProteinsCell Line, TumorCell NucleusCytoplasmDengueDengue VirusHEK293 CellsHumansMembrane ProteinsNerve Tissue ProteinsProteomeProteomicsTandem Mass SpectrometryViral ProteinsAdaptor Proteins, Signal TransducingCarrier ProteinsERC1 protein, humanMembrane ProteinsNerve Tissue ProteinsPRAF2 protein, humanProteomeViral Proteins

Identifiers

PMID24671231
PMCPMC3966871
OpenAlexW2046321711

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.