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- W2032504137 abstract "Hepatotoxicity is a common cause of failure in drug discovery and development and is also frequently the source of adverse drug reactions. Therefore, a better prediction, characterization and understanding of drug-induced hepatotoxicity could result in safer drugs and a more efficient drug discovery and development process. Among the ‘omics technologies, toxicogenomics (or the use of gene expression profiling in toxicology) represents an attractive approach to predict toxicity and to gain a mechanistic understanding of toxic changes. In this review, we illustrate, using selected examples, how toxicogenomics can be applied to investigate drug-induced hepatotoxicity in animal models and in vitro systems. In general, this technology can not only improve the discipline of toxicology and risk assessment but also represent an extremely effective, hypothesis-generating alternative to rapidly understand mechanisms of hepatotoxicity." @default.
- W2032504137 created "2016-06-24" @default.
- W2032504137 creator A5009415930 @default.
- W2032504137 creator A5075379718 @default.
- W2032504137 creator A5091020033 @default.
- W2032504137 date "2009-04-01" @default.
- W2032504137 modified "2023-10-09" @default.
- W2032504137 title "Use of toxicogenomics to understand mechanisms of drug-induced hepatotoxicity during drug discovery and development" @default.
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- W2032504137 doi "https://doi.org/10.1016/j.toxlet.2008.09.017" @default.
- W2032504137 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18996174" @default.
- W2032504137 hasPublicationYear "2009" @default.
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