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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Diss, Guillaume Landry, Christian R. |
| Description | Country affiliation: Canada Author Affiliation: Diss G ( Département de Biologie, Institut de Biologie Intégrative et des Systèmes, PROTEO-Québec Research Network on Protein Function, Structure and Engineering, Université Laval, Québec, Québec G1V 0A6, Canada.); Landry CR ( Département de Biologie, Institut de Biologie Intégrative et des Systèmes, PROTEO-Québec Research Network on Protein Function, Structure and Engineering, Université Laval, Québec, Québec G1V 0A6, Canada.) |
| Abstract | Systematically measuring the impact of gene deletion on protein-protein interactions is a promising approach to reveal the structural bases of protein interaction networks and to allow a better understanding of how genotypes translate into phenotypes. Genetic and protein-interaction tools in yeast now allow us to explore this third dimension of protein-protein interaction networks. Because it is scalable and quantitative, the protein-fragment complementation assay (PCA) using dihydrofolate reductase (DHFR) as the reporter protein provides an exceptionally powerful tool for such a purpose. Here, we describe a fully automated protocol that combines DHFR PCA for protein-protein interaction measurement and synthetic genetic array (SGA) technology for introducing mutant and other alleles into PCA strains using genetic crosses. In this, PCA strains are crossed with strains carrying a gene deletion and SGA markers, and the recombinant haploid progeny are selected by SGA. The resulting haploid strains, each expressing a DHFR-fragment fusion protein in a gene-specific haploid deletion background, are crossed to measure the interaction between the two recombinant proteins by PCA in a diploid homozygous deletion background. This approach can be used to measure a single protein interaction in a large array of genetic backgrounds or a large number of protein interactions in a small number of genetic backgrounds. |
| File Format | HTM / HTML |
| ISSN | 19403402 |
| Issue Number | 11 |
| Journal | Cold Spring Harbor Protocols |
| Volume Number | 2016 |
| e-ISSN | 15596095 |
| Language | English |
| Publisher | Cold Spring Harbor Laboratory Press |
| Publisher Date | 2016-11-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Clinical Laboratory Techniques |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biochemistry, Genetics and Molecular Biology |
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