Contents of this article

Useful Tools
SGAM: An Array-Based Approach for High-Resolution Genetic Mapping in Saccharomyces cerevisiae
Abstract
The development of genome-scale resources and high-throughput methodologies has enabled systematic assessment of gene function in vivo. Synthetic genetic array (SGA) analysis automates yeast genetic manipulation, permitting diverse analysis of ∼5,000 viable deletion mutants in Saccharomyces cerevisiae. SGA methodology has enabled genome-wide synthetic lethal screening and construction of a large-scale genetic interaction network for yeast. Genetic networks often reveal new components of specific pathways and functional relationships between genes whose products buffer one another or impinge on a common essential pathway. Because SGA analysis can be used to manipulate any genetic element linked to a selectable marker, it is a highly versatile approach that can be adapted for a variety of different genetic screens, including synthetic lethality, dosage suppression, and dosage lethality. This chapter focuses on a specific SGA application for high-resolution genetic mapping, referred to as SGA mapping (SGAM), which enables the identification of suppressor mutations and thus provides a powerful means for interrogating gene function and pathway order.
Affiliation(s): (2) Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, M5S 3E1 Toronto, ON, Canada
Series: Methods in Molecular Biology  |  Volume: 548  |  Pub. Date: Jul-01-2009  |  Page Range: 37-53  |  DOI: 10.1007/978-1-59745-540-4_3
Subject:  Protein Science
Comments (Loading...)
Loading...