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PMID: 15003598 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Increasing specificity in high-throughput yeast two-hybrid experiments.

Methods (San Diego, Calif.) ·Vol. 32 ·No. 4 ·2004-04-00 ·Pages 363-70

Vidalain PO, Boxem M, Ge H, Li S, Vidal M

Abstract

Since its inception, the yeast two-hybrid (Y2H) system has proven to be an efficient system to identify novel protein-protein interactions. However, Y2H screens are sometimes criticized for generating high rates of false-positives. Minimizing false-positive interactions is especially important in proteome wide high-throughput (HT) Y2H. Here, we summarize various approaches that reduce false-positives in HT-Y2H projects. We evaluated the potential of examining putative positives after removing the prey encoding plasmid by negative selection. We found that this method reliably identifies false-positives caused by spontaneous conversion of baits into auto-activators and provides significant time-savings in HT screens. In addition, we present a method to eliminate an important source of false-positives: contaminating prey plasmids. Y2H interactors can be wrongly identified due to the presence of two or more different plasmids in the cells of a single yeast colony. Of these independent plasmids, only one encodes a genuine interactor. Contaminating plasmids are eliminated by extended culture of yeast cells under positive selection for the interaction, allowing the identification of the true interaction partner.

MeSH Terms
Animals Caenorhabditis elegans/genetics,metabolism DNA, Complementary/genetics Fungal Proteins/genetics,metabolism Gene Library Genes, Reporter/genetics Genetic Vectors/genetics Histidine/genetics,metabolism Polymerase Chain Reaction Protein Binding Proteome/genetics,metabolism Proteomics/methods Recombinant Fusion Proteins/genetics,metabolism Saccharomyces cerevisiae/genetics,metabolism Transcription Factors/genetics,metabolism Transformation, Genetic/genetics Two-Hybrid System Techniques Uracil/metabolism beta-Galactosidase/genetics,metabolism
Chemicals
DNA, Complementary Fungal Proteins Proteome Recombinant Fusion Proteins Transcription Factors Histidine Uracil beta-Galactosidase
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Vidalain Pierre-Olivier
Dana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Boxem Mike
Ge Hui
Li Siming
Vidal Marc
Article Info
Journal
Methods (San Diego, Calif.)
Abbr.
Methods
ISSN
1046-2023
Published
2004-04-00
Pages
363-70
Language
English
Region
United States
NLM ID
9426302
Subset
IM
Grants
NHGRI NIH HHS · 5R01HG01715-02 · United States
NCI NIH HHS · 7R33CA81568-02 · United States
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