Evidence map›Paper›PMID 26365680›Full record

ReviewVirus research2016

Decoding protein networks during virus entry by quantitative proteomics.

Gisa Gerold, Janina Bruening, Thomas Pietschmann

Open access · hybridAbstract readReview
In one paragraph

Review in Virus research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Identification of RVFV Host Factors Using Quantitative Interaction Proteomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Review
  5. Genome assembly ofFrontiers in plant science · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Dual Analysis of Virus-Host Interactions: The Case ofEvolutionary bioinformatics online · 2019
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
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

3 authors at 2 institutions in 1 country.

Gisa GeroldInsitute for Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint Venture Between the Medical School Hannover and the Helmholtz Centre for Infection Research, 30652 Hannover, Germany. Electronic address: gisa.gerold@twincore.de.
Janina BrueningInsitute for Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint Venture Between the Medical School Hannover and the Helmholtz Centre for Infection Research, 30652 Hannover, Germany.
Thomas PietschmannInsitute for Experimental Virology, TWINCORE, Centre for Experimental and Clinical Infection Research, A joint Venture Between the Medical School Hannover and the Helmholtz Centre for Infection Research, 30652 Hannover, Germany; German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Germany. Electronic address: thomas.pietschmann@twincore.de.
Helmholtz Centre for Infection Research · DEGerman Center for Infection Research · DE

Funding

European Research Council 281473
6 · The paper itself

Abstract

Virus entry into host cells relies on interactions between viral and host structures including lipids, carbohydrates and proteins. Particularly, protein-protein interactions between viral surface proteins and host proteins as well as secondary host protein-protein interactions play a pivotal role in coordinating virus binding and uptake. These interactions are dynamic and frequently involve multiprotein complexes. In the past decade mass spectrometry based proteomics methods have reached sensitivities and high throughput compatibilities of genomics methods and now allow the reliable quantitation of proteins in complex samples from limited material. As proteomics provides essential information on the biologically active entity namely the protein, including its posttranslational modifications and its interactions with other proteins, it is an indispensable method in the virologist's toolbox. Here we review protein interactions during virus entry and compare classical biochemical methods to study entry with novel technically advanced quantitative proteomics techniques. We highlight the value of quantitative proteomics in mapping functional virus entry networks, discuss the benefits and limitations and illustrate how the methodology will help resolve unsettled questions in virus entry research in the future.

Indexed as

Protein Processing, Post-TranslationalCell Adhesion MoleculesDC-Specific ICAM-3 Grabbing NonintegrinHost-Pathogen InteractionsHumansIntegrinsLectins, C-TypeMass SpectrometryMultiprotein ComplexesProtein Interaction MappingProteomicsReceptors, Cell SurfaceReceptors, VirusViral ProteinsVirus DiseasesVirusesCell Adhesion MoleculesDC-Specific ICAM-3 Grabbing NonintegrinIntegrinsLectins, C-TypeMultiprotein ComplexesReceptors, Cell SurfaceReceptors, VirusViral ProteinsProtein interaction networksProtein–protein interactionsQuantitative proteomicsVirus entry

Identifiers

PMID26365680
PMCPMC4914609
OpenAlexW1641971541

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.