Evidence map›Paper›PMID 25720483›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2015

A field-proven yeast two-hybrid protocol used to identify coronavirus-host protein-protein interactions.

Pierre-Olivier Vidalain, Yves Jacob, Marne C Hagemeijer, Louis M Jones, Grégory Neveu, Jean-Pierre Roussarie, Peter J M Rottier, Frédéric Tangy, Cornelis A M de Haan

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact, top 99% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Use of Yeast in Biosensing.Microorganisms · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

9 authors at 5 institutions in 3 countries.

Pierre-Olivier VidalainUnité de Génomique Virale etVaccination, Institut Pasteur, Paris, France, pierre-olivier.vidalain@pasteur.fr.
Yves Jacob
Marne C Hagemeijer
Louis M Jones
Grégory Neveu
Jean-Pierre Roussarie
Peter J M Rottier
Frédéric Tangy
Cornelis A M de Haan
Institut Pasteur · FRRockefeller University · USCentre National de la Recherche Scientifique · FRStanford University · USUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last 2 decades, yeast two-hybrid became an invaluable technique to decipher protein-protein interaction networks. In the field of virology, it has proven instrumental to identify virus-host interactions that are involved in viral embezzlement of cellular functions and inhibition of immune mechanisms. Here, we present a yeast two-hybrid protocol that has been used in our laboratory since 2006 to search for cellular partners of more than 300 viral proteins. Our aim was to develop a robust and straightforward pipeline, which minimizes false-positive interactions with a decent coverage of target cDNA libraries, and only requires a minimum of equipment. We also discuss reasons that motivated our technical choices and compromises that had to be made. This protocol has been used to screen most non-structural proteins of murine hepatitis virus (MHV), a member of betacoronavirus genus, against a mouse brain cDNA library. Typical results were obtained and are presented in this report.

Indexed as

Two-Hybrid System TechniquesAnimalsHost-Pathogen InteractionsMiceMurine hepatitis virusNerve Tissue ProteinsViral ProteinsVirus AttachmentNerve Tissue ProteinsViral Proteins

Identifiers

PMID25720483
PMCPMC7121825
OpenAlexW272663204

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.