Literature DB >> 10527736

Genetic approaches to the study of protein-protein interactions.

D R Appling1.   

Abstract

This article describes genetic approaches to the study of heterologous protein-protein interactions, focusing on the yeast Saccharomyces cerevisiae as a useful eukaryotic model system. Several methods are described that can be used to search for new interactions, including extragenic suppression, multicopy suppression, synthetic lethality, and transdominant inhibition. Strategies for screening, genetic characterization, and clone identification are described, along with recent examples from the literature. In addition, genetic methods are discussed that can be used to further characterize a newly discovered protein-protein interaction. These include the creation of mutant libraries of a given protein by chemical mutagenesis or polymerase chain reaction, the production of dominant-negative mutants, and strategies for introducing these mutant alleles back into yeast for analysis. Although these genetic methods are quite powerful, they are often just a starting point for further biochemical or cell biological experiments. Copyright 1999 Academic Press.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10527736     DOI: 10.1006/meth.1999.0861

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  3 in total

1.  Synthetic lethality between eIF5A and Ypt1 reveals a connection between translation and the secretory pathway in yeast.

Authors:  Mariana C Frigieri; Marcus V S João Luiz; Luciano H Apponi; Cleslei F Zanelli; Sandro R Valentini
Journal:  Mol Genet Genomics       Date:  2008-06-21       Impact factor: 3.291

2.  The Accessory SecA2 System of Mycobacteria Requires ATP Binding and the Canonical SecA1.

Authors:  Nathan W Rigel; Henry S Gibbons; Jessica R McCann; Justin A McDonough; Sherry Kurtz; Miriam Braunstein
Journal:  J Biol Chem       Date:  2009-02-23       Impact factor: 5.157

3.  Genetic interaction mapping with microfluidic-based single cell sequencing.

Authors:  John R Haliburton; Wenjun Shao; Adam Deutschbauer; Adam Arkin; Adam R Abate
Journal:  PLoS One       Date:  2017-02-07       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.