1. Conceptual approach for incorporating “omics” technologies and resulting large databases into toxicological evaluation. Data from experiments that evaluate the effects of a chemical on global patterns of gene expression (transcriptomics), protein content (proteomics), and small molecules/metabolites (metabonomics/metabolomics), combined with genomic information from both the test species (eg, rats, mice) and the target species of interest (eg, humans), are analyzed by computational tools (bioinformatics) for unique or potentially predictive patterns of toxicity. Essential to the use of omics data for predictive toxicology/safety assessment is the ability to reliably tie observed omics patterns to traditional measures of toxicity, such as histopathology and clinical chemistry (phenotypic anchoring). (From Waters and Fostel, 2004, with permission.)
Source: Principles of Toxicology, Casarett and Doull's Toxicology: The Basic Science of Poisons, 8e
Citation: Klaassen CD. Casarett and Doull's Toxicology: The Basic Science of Poisons, 8e; 2012 Available at: Accessed: October 28, 2017
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