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Chemical genomics in yeast: Linking ...

Parsons, Ainslie Bennett.

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Chemical genomics in yeast: Linking biologically active compounds to their intracellular targets.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Chemical genomics in yeast: Linking biologically active compounds to their intracellular targets./
Author:	Parsons, Ainslie Bennett.
Description:	148 p.
Notes:	Source: Dissertation Abstracts International, Volume: 67-07, Section: B, page: 3569.
Contained By:	Dissertation Abstracts International67-07B.
Subject:	Biology, Genetics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR16019
ISBN:	9780494160190

Chemical genomics in yeast: Linking biologically active compounds to their intracellular targets.
Parsons, Ainslie Bennett.

Chemical genomics in yeast: Linking biologically active compounds to their intracellular targets. - 148 p.

Source: Dissertation Abstracts International, Volume: 67-07, Section: B, page: 3569.

Thesis (Ph.D.)--University of Toronto (Canada), 2006.

Target specific chemical inhibitors are highly valuable as both research tools and therapeutic leads, but it is often difficult to identify their mechanism of action or cellular target. Here I have studied genome-wide chemical-genetic interaction profiles in the budding yeast Saccharomyces cerevisiae , by testing the complete set of viable deletion mutants for hypersensitivity to inhibitory compounds. Integration of chemical-genetic and genetic interaction data reveals information about the mode of action of bioactive compounds. First, in a series of proof-of-concept experiments I showed that because a loss-of-function mutation in a gene encoding the target of an inhibitory compound models the primary effect of the compound, crossing such a mutation into the set of viable mutants and scoring the resultant double mutants for reduced fitness generates a genetic interaction profile for the target gene resembling the chemical-genetic interaction profile of its inhibitory compound. Therefore, clustering the compound-specific profiles with a compendium of large-scale genetic interaction profiles enables the identification of target pathways or proteins and thus provides a powerful means for inferring mechanism of action. In the second phase of this project, I expanded our matrix of chemical-genetic interactions by profiling 85 diverse compounds and natural product extracts, including a number of human therapeutics, using parallel fitness tests and a microarray-based readout. Hierarchical clustering of the dataset associates compounds of similar mode of action and reveals insight into the cellular pathways affected by the compounds. In particular, my analysis establishes a cell membrane target for papuamide B, a high molecular weight cyclic lipopeptide with potent anti-fungal and anti-HIV activity.

ISBN: 9780494160190Subjects--Topical Terms:

1017730
Biology, Genetics.

Chemical genomics in yeast: Linking biologically active compounds to their intracellular targets.
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502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2006.
520 $a Target specific chemical inhibitors are highly valuable as both research tools and therapeutic leads, but it is often difficult to identify their mechanism of action or cellular target. Here I have studied genome-wide chemical-genetic interaction profiles in the budding yeast Saccharomyces cerevisiae , by testing the complete set of viable deletion mutants for hypersensitivity to inhibitory compounds. Integration of chemical-genetic and genetic interaction data reveals information about the mode of action of bioactive compounds. First, in a series of proof-of-concept experiments I showed that because a loss-of-function mutation in a gene encoding the target of an inhibitory compound models the primary effect of the compound, crossing such a mutation into the set of viable mutants and scoring the resultant double mutants for reduced fitness generates a genetic interaction profile for the target gene resembling the chemical-genetic interaction profile of its inhibitory compound. Therefore, clustering the compound-specific profiles with a compendium of large-scale genetic interaction profiles enables the identification of target pathways or proteins and thus provides a powerful means for inferring mechanism of action. In the second phase of this project, I expanded our matrix of chemical-genetic interactions by profiling 85 diverse compounds and natural product extracts, including a number of human therapeutics, using parallel fitness tests and a microarray-based readout. Hierarchical clustering of the dataset associates compounds of similar mode of action and reveals insight into the cellular pathways affected by the compounds. In particular, my analysis establishes a cell membrane target for papuamide B, a high molecular weight cyclic lipopeptide with potent anti-fungal and anti-HIV activity.
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