Literature DB >> 12138210

Analysis of phosphorylation-dependent protein-protein interactions using a bacterial two-hybrid system.

Adam J Shaywitz1, Simon L Dove, Michael E Greenberg, Ann Hochschild.   

Abstract

Phosphorylation-dependent protein-protein interactions provide the foundation for a multitude of intracellular signal transduction pathways. One of the goals of signal transduction research is to more precisely understand the nature of these phosphorylation-dependent interactions. Here, we describe a bacterial two-hybrid assay that allows for the rapid, efficient analysis of phosphorylation-dependent protein-protein interactions. In this system, the interacting protein domains are provided as fusion proteins in Escherichia coli. cells that contain a eukaryotic kinase. Specific phosphorylation of one of the fused protein domains results in a protein-protein interaction that can be detected as a change in the expression of a reporter gene. We also describe how this system can be modified to permit the use of cDNA libraries to identify either novel binding partners for a phosphorylated substrate or novel kinases that can induce a specific protein-protein interaction.

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Year:  2002        PMID: 12138210     DOI: 10.1126/stke.2002.142.pl11

Source DB:  PubMed          Journal:  Sci STKE        ISSN: 1525-8882


  4 in total

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Authors:  Sean Chun-Chang Chen; Feng-Chi Chen; Wen-Hsiung Li
Journal:  Mol Biol Evol       Date:  2010-06-09       Impact factor: 16.240

2.  Improving evolutionary models of protein interaction networks.

Authors:  Todd A Gibson; Debra S Goldberg
Journal:  Bioinformatics       Date:  2010-11-09       Impact factor: 6.937

3.  Biomolecular interaction analysis in functional proteomics.

Authors:  D Moll; A Prinz; F Gesellchen; S Drewianka; B Zimmermann; F W Herberg
Journal:  J Neural Transm (Vienna)       Date:  2006-07-13       Impact factor: 3.575

4.  A novel function of Arp2p in mediating Prk1p-specific regulation of actin and endocytosis in yeast.

Authors:  Mingji Jin; Mingjie Cai
Journal:  Mol Biol Cell       Date:  2007-10-31       Impact factor: 4.138

  4 in total

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