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PMID: 21091444 Published · ppublish English Journal Article

An improved bimolecular fluorescence complementation assay with a high signal-to-noise ratio.

BioTechniques ·Vol. 49 ·No. 5 ·2010-11-00 ·Pages 793-805

Kodama Y, Hu CD

Abstract

Protein-protein interactions (PPIs) play crucial roles in various biological processes. Among biochemical, genetic, and imaging approaches that have been used for the study of PPIs, visualization of PPIs in living cells is the key to understanding their cellular functions. The bimolecular fluorescence complementation (BiFC) assay represents one of these imaging tools for direct visualization of PPIs in living cells. The BiFC assay is based on the structural complementation of two nonfluorescent N- and C-terminal fragments of a fluorescent protein when they are fused to a pair of interacting proteins. Although over 10 different fluorescent proteins have been used for BiFC assays, the two nonfluorescent fragments from all of these fluorescent proteins can spontaneously self-assemble, which contributes to background fluorescence and decreases the signal-to-noise (S/N) ratio in the BiFC assay. Here we report the identification of a mutation, I152L, that can specifically reduce self-assembly and decrease background fluorescence in a Venus-based BiFC system. This mutation allows a 4-fold increase in the S/N ratio of the BiFC assay in living cells. This improved Venus-based BiFC system will facilitate PPI studies in various biological research fields.

MeSH Terms
Animals Bacterial Proteins/chemistry,genetics COS Cells Chlorocebus aethiops Luminescent Proteins/chemistry,genetics Models, Molecular Molecular Structure Mutagenesis, Site-Directed Peptide Fragments/chemistry Spectrometry, Fluorescence Transfection
Chemicals
Bacterial Proteins Luminescent Proteins Peptide Fragments yellow fluorescent protein, Bacteria
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Kodama Yutaka
Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN 47907, USA. [email protected]
Hu Chang-Deng
Article Info
Journal
BioTechniques
Abbr.
Biotechniques
ISSN
1940-9818
Published
2010-11-00
Pages
793-805
Language
English
Region
England
NLM ID
8306785
Subset
IM
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