Evidence map›Paper›PMID 25755296›Full record

ArticleMolecular & cellular proteomics : MCP2015

Simultaneous Quantification of Viral Antigen Expression Kinetics Using Data-Independent (DIA) Mass Spectrometry.

Nathan P Croft, Danielle A de Verteuil, Stewart A Smith, Yik Chun Wong, Ralf B Schittenhelm, David C Tscharke, Anthony W Purcell

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Surprisingly Effective Priming of CD8Journal of virology · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Most viral peptides displayed by class I MHC on infected cells are immunogenic.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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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 2 institutions in 1 country.

Nathan P CroftFrom the ‡Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, 3141, Australia;
Danielle A de VerteuilFrom the ‡Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, 3141, Australia;
Stewart A Smith§Research School of Biology, The Australian National University, Canberra, ACT, 0200, Australia.
Yik Chun Wong§Research School of Biology, The Australian National University, Canberra, ACT, 0200, Australia.
Ralf B SchittenhelmFrom the ‡Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, 3141, Australia;
David C Tscharke§Research School of Biology, The Australian National University, Canberra, ACT, 0200, Australia.
Anthony W PurcellFrom the ‡Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, 3141, Australia; anthony.purcell@monash.edu.
Monash University · AUAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The generation of antigen-specific reagents is a significant bottleneck in the study of complex pathogens that express many hundreds to thousands of different proteins or to emerging or new strains of viruses that display potential pandemic qualities and therefore require rapid investigation. In these instances the development of antibodies for example can be prohibitively expensive to cover the full pathogen proteome, or the lead time may be unacceptably long in urgent cases where new highly pathogenic viral strains may emerge. Because genomic information on such pathogens can be rapidly acquired this opens up avenues using mass spectrometric approaches to study pathogen antigen expression, host responses and for screening the utility of therapeutics. In particular, data-independent acquisition (DIA) modalities on high-resolution mass spectrometers generate spectral information on all components of a complex sample providing depth of coverage hitherto only seen in genomic deep sequencing. The spectral information generated by DIA can be iteratively interrogated for potentially any protein of interest providing both evidence of protein expression and quantitation. Here we apply a solely DIA mass spectrometry based methodology to profile the viral antigen expression in cells infected with vaccinia virus up to 9 h post infection without the need for antigen specific antibodies or other reagents. We demonstrate deep coverage of the vaccinia virus proteome using a SWATH-MS acquisition approach, extracting quantitative kinetics of 100 virus proteins within a single experiment. The results highlight the complexity of vaccinia protein expression, complementing what is known at the transcriptomic level, and provide a valuable resource and technique for future studies of viral infection and replication kinetics. Furthermore, they highlight the utility of DIA and mass spectrometry in the dissection of host-pathogen interactions.

Indexed as

Amino Acid SequenceAnimalsAntigens, ViralCell LineDendritic CellsGene ExpressionHost-Pathogen InteractionsKineticsMass SpectrometryMiceMolecular Sequence DataPeptidesProteolysisProteomeProteomicsTrypsinAntigens, ViralPeptidesProteomeTrypsinViral Proteins

Identifiers

PMID25755296
PMCPMC4424405
OpenAlexW2157774817

What OpenQuestion holds

Textmetadata
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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.