Chemical Sensitivity Profiling of Yeast Deletion Strains

This section accompanies:
Tucker, C.L. and Fields, S. (2004) Quantitative genome-wide analysis of yeast deletion strain sensitivities to oxidative and chemical stress. Comparative and Functional Genomics 5:216-224. download pdf

Abstract:
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. 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 multi-chemical sensitive 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.

Figure to the right:

659 sensitive strains from chemical screening. Each row represents a different deletion strain, while each column represents a different chemical condition (per = hydrogen peroxide; men = menadione; mef = mefloquine; ibu = ibuprofen). Yellow coloring indicates a strain sensitive to a particular chemical.


Download Supplemental Data:

Table 1.doc
Table 2.txt


Download Raw Data:

PER raw data.txt

MEN raw data.txt
MEF raw data.txt
IBU raw data.txt

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