Yeast Two-Hybrid Assay to Identify Interacting Proteins.

interactome protein-protein interaction yeast two-hybrid system

Journal

Current protocols in protein science
ISSN: 1934-3663
Titre abrégé: Curr Protoc Protein Sci
Pays: United States
ID NLM: 101287868

Informations de publication

Date de publication:
02 2019
Historique:
pubmed: 23 8 2018
medline: 19 4 2019
entrez: 23 8 2018
Statut: ppublish

Résumé

This article describes the general method to perform the classical two-hybrid system. Although it has already been more than 25 years since this technique was developed, it still represents one of the best and most inexpensive, time saving, and straightforward methods to identify and study protein-protein interactions. Indeed, this system can be easily used to identify interacting proteins for a given protein, to check interactions between two known proteins, or to map interacting domains. Most of the interactions revealed using the two-hybrid assay have been proven to be binary direct interactions. Data comparison with other systems, such as mass spectrometry, have demonstrated that this system is at least as reliable. In fact, its use is increasing with time, and at present numerous variants of the yeast two-hybrid assay have been developed, including high-throughput systems that promote the generation of a proteome-scale map of protein-protein interactions in specific system. © 2018 by John Wiley & Sons, Inc.

Identifiants

pubmed: 30133175
doi: 10.1002/cpps.70
doi:

Substances chimiques

Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e70

Informations de copyright

© 2018 John Wiley & Sons, Inc.

Auteurs

Aurora Paiano (A)

Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Lecce, Italy.

Azzurra Margiotta (A)

Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Lecce, Italy.
Present address: Department of Biosciences, Centre for Immune Regulation, University of Oslo, Oslo, Norway.

Maria De Luca (M)

Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Lecce, Italy.

Cecilia Bucci (C)

Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Lecce, Italy.

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Classifications MeSH