Transcriptomics in predictive toxicology

被引:0
|
作者
Storck, T [1 ]
von Brevern, MC [1 ]
Behrens, CK [1 ]
Scheel, J [1 ]
Bach, A [1 ]
机构
[1] Axaron Biosci AG, D-69120 Heidelberg, Germany
关键词
hepatocytes; hierarchical cluster analysis; in vitro-in vivo correlation; microarray; mode of action; predictive toxicology; rat liver; toxicogenomics; transcription profiling;
D O I
暂无
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Once again, genomics is about to change drug development. Following its major impact on target discovery and assay development, which increased the number of compounds at early stages of the process, genomics is now zeroing in on the prediction of potential toxicological problems of compounds. Toxicogenomics is the analysis of toxicological processes at the transcriptome level of a target organ or cell. By simultaneously monitoring the effect of a compound on the transcription levels of hundreds to thousands of genes, toxicogenomics can provide an enormous amount of data. This data bears information on the way in which compounds act at the molecular level, reaching far beyond the mere conclusion of whether or not a particular toxicological outcome is elicited. By compiling transcription profiles for well-known toxicants, we are beginning to learn how to analyze this novel type of data in the context of mechanistic and predictive toxicology.
引用
收藏
页码:90 / 97
页数:8
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