Literature DB >> 12880949

Cell growth selection system to detect extracellular and transmembrane protein interactions.

David M Urech1, Peter Lichtlen, Alcide Barberis.   

Abstract

The interplay among extracellular and cell surface proteins, such as the interactions between ligands and receptors or between antigens and antibodies, is involved in a multitude of physiological and pathological phenomena. In the oxidizing milieu of the secretory pathway in eukaryotic cells, many extracellular proteins build disulfide bonds that significantly contribute to their correct folding and structural stability. Thus, conventional yeast two-hybrid interaction assays, which occur in the reducing intracellular environment, might not be adequate to detect extracellular protein-protein interactions. We have exploited the properties of yeast Ire1p, a type I endoplasmic reticulum (ER) membrane protein involved in the unfolded protein response (UPR) as a dimerization-activated receptor, to develop a novel system for the detection and study of interactions between extracellular and/or membrane proteins. In our system, named SCINEX-P (screening for interactions between extracellular proteins), proteins of interest were fused to truncated Ire1p so as to substitute its N-terminal lumenal domain (NLD). Specific interaction between two partners caused dimerization of the Ire1p moiety, which, through the endogenous UPR signalling pathway, led to activation of transcription of genes that permit cell growth under selective conditions.

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Year:  2003        PMID: 12880949     DOI: 10.1016/s0304-4165(03)00133-8

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  9 in total

Review 1.  Diversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system.

Authors:  Bram Stynen; Hélène Tournu; Jan Tavernier; Patrick Van Dijck
Journal:  Microbiol Mol Biol Rev       Date:  2012-06       Impact factor: 11.056

Review 2.  The contribution of systematic approaches to characterizing the proteins and functions of the endoplasmic reticulum.

Authors:  Maya Schuldiner; Jonathan S Weissman
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-03-01       Impact factor: 10.005

3.  Avidity-based extracellular interaction screening (AVEXIS) for the scalable detection of low-affinity extracellular receptor-ligand interactions.

Authors:  Jason S Kerr; Gavin J Wright
Journal:  J Vis Exp       Date:  2012-03-05       Impact factor: 1.355

4.  Construction of a large extracellular protein interaction network and its resolution by spatiotemporal expression profiling.

Authors:  Stephen Martin; Christian Söllner; Varodom Charoensawan; Boris Adryan; Bernard Thisse; Christine Thisse; Sarah Teichmann; Gavin J Wright
Journal:  Mol Cell Proteomics       Date:  2010-08-27       Impact factor: 5.911

5.  A benchmarked protein microarray-based platform for the identification of novel low-affinity extracellular protein interactions.

Authors:  Yi Sun; Marcus Gallagher-Jones; Colin Barker; Gavin J Wright
Journal:  Anal Biochem       Date:  2012-02-17       Impact factor: 3.365

Review 6.  Current Experimental Methods for Characterizing Protein-Protein Interactions.

Authors:  Mi Zhou; Qing Li; Renxiao Wang
Journal:  ChemMedChem       Date:  2016-02-11       Impact factor: 3.466

Review 7.  Yeast two-hybrid, a powerful tool for systems biology.

Authors:  Anna Brückner; Cécile Polge; Nicolas Lentze; Daniel Auerbach; Uwe Schlattner
Journal:  Int J Mol Sci       Date:  2009-06-18       Impact factor: 6.208

Review 8.  Saccharomyces cerevisiae as a Tool to Investigate Plant Potassium and Sodium Transporters.

Authors:  Antonella Locascio; Nuria Andrés-Colás; José Miguel Mulet; Lynne Yenush
Journal:  Int J Mol Sci       Date:  2019-04-30       Impact factor: 5.923

Review 9.  The antigenome: from protein subunit vaccines to antibody treatments of bacterial infections?

Authors:  Carmen Giefing; Eszter Nagy; Alexander von Gabain
Journal:  Adv Exp Med Biol       Date:  2009       Impact factor: 2.622

  9 in total

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