Evidence map›Paper›PMID 24718678›Full record

ArticlePloS one2014

Alteration of protein levels during influenza virus H1N1 infection in host cells: a proteomic survey of host and virus reveals differential dynamics.

Susann Kummer, Max Flöttmann, Björn Schwanhäusser, Christian Sieben, Michael Veit, Matthias Selbach, Edda Klipp, Andreas Herrmann

Open access · goldAbstract readComparative Study
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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 46 citations in OpenAlex.

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  14. Age-Dependent Changes in the Plasma Proteome of Healthy Adults.The journal of nutrition, health & aging · 2020
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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

8 authors at 2 institutions in 1 country.

Susann KummerDepartment of Biology, Faculty of Mathematics and Natural Sciences I, Humboldt University Berlin, Berlin, Germany.
Max FlöttmannDepartment of Biology, Faculty of Mathematics and Natural Sciences I, Humboldt University Berlin, Berlin, Germany.
Björn SchwanhäusserMax Delbrück Center for Molecular Medicine, Berlin, Germany.
Christian SiebenDepartment of Biology, Faculty of Mathematics and Natural Sciences I, Humboldt University Berlin, Berlin, Germany.
Michael VeitInstitute of Virology, Department of Veterinary Medicine, Berlin, Germany.
Matthias SelbachMax Delbrück Center for Molecular Medicine, Berlin, Germany.
Edda KlippDepartment of Biology, Faculty of Mathematics and Natural Sciences I, Humboldt University Berlin, Berlin, Germany.
Andreas HerrmannDepartment of Biology, Faculty of Mathematics and Natural Sciences I, Humboldt University Berlin, Berlin, Germany.
Humboldt-Universität zu Berlin · DEMax Delbrück Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied the dynamics of the proteome of influenza virus A/PR/8/34 (H1N1) infected Madin-Darby canine kidney cells up to 12 hours post infection by mass spectrometry based quantitative proteomics using the approach of stable isotope labeling by amino acids in cell culture (SILAC). We identified 1311 cell proteins and, apart from the proton channel M2, all major virus proteins. Based on their abundance two groups of virus proteins could be distinguished being in line with the function of the proteins in genesis and formation of new virions. Further, the data indicate a correlation between the amount of proteins synthesized and their previously determined copy number inside the viral particle. We employed bioinformatic approaches such as functional clustering, gene ontology, and pathway (KEGG) enrichment tests to uncover co-regulated cellular protein sets, assigned the individual subsets to their biological function, and determined their interrelation within the progression of viral infection. For the first time we are able to describe dynamic changes of the cellular and, of note, the viral proteome in a time dependent manner simultaneously. Through cluster analysis, time dependent patterns of protein abundances revealed highly dynamic up- and/or down-regulation processes. Taken together our study provides strong evidence that virus infection has a major impact on the cell status at the protein level.

Indexed as

Gene Expression Regulation, ViralHost-Pathogen InteractionsProtein BiosynthesisProteomicsAnimalsChromatography, High Pressure LiquidDogsInfluenza A Virus, H1N1 SubtypeMadin Darby Canine Kidney CellsTandem Mass SpectrometryTime FactorsViral ProteinsViral Proteins

Identifiers

PMID24718678
PMCPMC3981805
OpenAlexW2045267113

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.