2010
DOI: 10.1371/journal.pone.0010177
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High-Content, Image-Based Screening for Drug Targets in Yeast

Abstract: BackgroundDrug discovery and development are predicated on elucidation of the potential mechanisms of action and cellular targets of candidate chemical compounds. Recent advances in high-content imaging techniques allow simultaneous analysis of a range of cellular events. In this study, we propose a novel strategy to identify drug targets by combining genetic screening and high-content imaging in yeast.MethodologyIn this approach, we infer the cellular functions affected by candidate drugs by comparing morphol… Show more

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Cited by 47 publications
(61 citation statements)
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“…To assess the morphological similarity between the cells treated with poacic acid and nonessential deletion mutants or cells treated with other cell wall-affecting drugs, their morphological profiles were compared as described previously (36). To identify functional gene clusters, the most significant similar mutants (43 genes, P < 0.01 after Bonferroni correction, t test) were selected as a query for GO term analysis (GO term finder in the Saccharomyces genome database).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To assess the morphological similarity between the cells treated with poacic acid and nonessential deletion mutants or cells treated with other cell wall-affecting drugs, their morphological profiles were compared as described previously (36). To identify functional gene clusters, the most significant similar mutants (43 genes, P < 0.01 after Bonferroni correction, t test) were selected as a query for GO term analysis (GO term finder in the Saccharomyces genome database).…”
Section: Methodsmentioning
confidence: 99%
“…We investigated the morphological changes induced by poacic acid using high-dimensional microscopy (36,37). Recently, two morphological features (a wide neck and morphological heterogeneity) were reported as common phenotypes in cells treated with agents known to affect the cell wall (38).…”
Section: Morphological Analysis Revealed That Poacic Acid Affects Thementioning
confidence: 99%
“…The Box-Cox transformation method uses maximum likelihood to determine which among a family of power transformations produces a phenotypic distribution that approximates normality best [60]. Previous studies using CalMorph data have used this transformation [47], [61][63]. If a phenotype did not show an approximately normal distribution on a qq-plot after this procedure, it was excluded (the phenotypes used in the analysis are shown in Table S6).…”
Section: Methodsmentioning
confidence: 99%
“…High-content microscopy has also been used as a tool to decipher MOA of bioactive compounds [2022]. By monitoring a myriad of parameters from a cell exposed to a chemical agent (target expression, localization, cell morphology, organelle function, and cytotoxicity/cell health to name few), understanding that agent’s MOA can become more straightforward [22,23]. Joseph and colleagues use of a high-content assay to profile the drug-induced mechanisms of apoptosis illustrates the mutli-parametric paradigm [24].…”
Section: High-content and The Pursuit Of Phenotypic Screeningmentioning
confidence: 99%