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Comparative and Functional Genomics
Volume 5, Issue 3, Pages 216-224
Research Article

Quantitative Genome-Wide Analysis of Yeast Deletion Strain Sensitivities to Oxidative and Chemical Stress

1Department of Genome Sciences, Howard Hughes Medical Institute, University of Washington, Box 357730, Seattle, WA 98195, USA
2Department of Medicine, Howard Hughes Medical Institute, University of Washington, Box 357730, Seattle, WA 98195, USA
3Howard Hughes Medical Institute, Depts of Genome Sciences and Medicine, University of Washington, Box 357730, Seattle, WA 98195, USA

Received 12 August 2003; Revised 6 January 2004; Accepted 27 January 2004

Copyright © 2004 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Understanding the actions of drugs and toxins in a cell is of critical importance to medicine, yet many of the molecular events involved in chemical resistance are relatively uncharacterized. In order to identify the cellular processes and pathways targeted by chemicals, we took advantage of the haploid Saccharomyces cerevisiae deletion strains (Winzeler et al., 1999). Although ~4800 of the strains are viable, the loss of a gene in a pathway affected by a drug can lead to a synthetic lethal effect in which the combination of a deletion and a normally sublethal dose of a chemical results in loss of viability. WE carried out genome-wide screens to determine quantitative sensitivities of the deletion set to four chemicals: hydrogen peroxide, menadione, ibuprofen and mefloquine. Hydrogen peroxide and menadione induce oxidative stress in the cell, whereas ibuprofen and mefloquine are toxic to yeast by unknown mechanisms. Here we report the sensitivities of 659 deletion strains that are sensitive to one or more of these four compounds, including 163 multichemicalsensitive strains, 394 strains specific to hydrogen peroxide and/or menadione, 47 specific to ibuprofen and 55 specific to mefloquine.We correlate these results with data from other large-scale studies to yield novel insights into cellular function.