Identification of drug targets by chemogenomic and metabolomic profiling in yeast

被引:4
作者
Wu, Manhong [1 ]
Zheng, Ming [1 ]
Zhang, Weiruo [2 ]
Suresh, Sundari [3 ,4 ]
Schlecht, Ulrich [3 ,4 ]
Fitch, William L. [1 ]
Aronova, Sofia [5 ]
Baumann, Stephan [5 ]
Davis, Ronald [3 ,4 ]
St Onge, Robert [3 ,4 ]
Dill, David L. [2 ]
Peltz, Gary [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Anesthesia, Stanford, CA 94305 USA
[2] Stanford Univ, Sch Engn, Dept Comp Sci, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Biochem, Stanford, CA 94305 USA
[4] Stanford Univ, Stanford Genome Technol Ctr, Stanford, CA 94305 USA
[5] Agilent Technol, Santa Clara, CA USA
关键词
chemogenomics; metabolomics; pharmacology; CHROMATOGRAPHY/MASS SPECTROMETRY; MASS-SPECTROMETRY; MECHANISMS; METABOLITES; RESISTANCE; TOXICITY; PATHWAYS; ENZYMES; GENOME; MODE;
D O I
10.1097/FPC.0b013e32835aa888
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Objective To advance our understanding of disease biology, the characterization of the molecular target for clinically proven or new drugs is very important. Because of its simplicity and the availability of strains with individual deletions in all of its genes, chemogenomic profiling in yeast has been used to identify drug targets. As measurement of drug-induced changes in cellular metabolites can yield considerable information about the effects of a drug, we investigated whether combining chemogenomic and metabolomic profiling in yeast could improve the characterization of drug targets. Basic methods We used chemogenomic and metabolomic profiling in yeast to characterize the target for five drugs acting on two biologically important pathways. A novel computational method that uses a curated metabolic network was also developed, and it was used to identify the genes that are likely to be responsible for the metabolomic differences found. Results and conclusion The combination of metabolomic and chemogenomic profiling, along with data analyses carried out using a novel computational method, could robustly identify the enzymes targeted by five drugs. Moreover, this novel computational method has the potential to identify genes that are causative of metabolomic differences or drug targets. Pharmacogenetics and Genomics 22: 877-886 (C) 2012 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.
引用
收藏
页码:877 / 886
页数:10
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