Transgenic Animal Models in Toxicology: Historical Perspectives and Future Outlook

Darrell R. Boverhof, Mark P. Chamberlain, Clifford R. Elcombe, Frank J. Gonzalez, Robert H. Heflich, Lya G. Hernandez, Abigail C. Jacobs, David Jacobson-Kram, Mirjam Luijten, Adriana Maggi, Mugimane G. Manjanatha, Jan van Benthem, B. Bhaskar Gollapudi

    Research output: Contribution to journalArticlepeer-review

    94 Citations (Scopus)

    Abstract

    Transgenic animal models are powerful tools for developing a more detailed understanding on the roles of specific genes in biological pathways and systems. Applications of these models have been made within the field of toxicology, most notably for the screening of mutagenic and carcinogenic potential and for the characterization of toxic mechanisms of action. It has long been a goal of research toxicologists to use the data from these models to refine hazard identification and characterization to better inform human health risk assessments. This review provides an overview on the applications of transgenic animal models in the assessment of mutagenicity and carcinogenicity, their use as reporter systems, and as tools for understanding the roles of xenobiotic-metabolizing enzymes and biological receptors in the etiology of chemical toxicity. Perspectives are also shared on the future outlook for these models in toxicology and risk assessment and how transgenic technologies are likely to be an integral tool for toxicity testing in the 21st century.

    Original languageEnglish
    Pages (from-to)207-233
    Number of pages27
    JournalToxicological Sciences
    Volume121
    Issue number2
    DOIs
    Publication statusPublished - Jun 2011

    Keywords

    • transgenic models
    • knock-out models
    • humanized models
    • risk assessment
    • PREGNANE-X-RECEPTOR
    • ARYL-HYDROCARBON RECEPTOR
    • CONSTITUTIVE ANDROSTANE RECEPTOR
    • CYP1B1 DETERMINES SUSCEPTIBILITY
    • ZINC-FINGER NUCLEASES
    • EMBRYONIC STEM-CELLS
    • DNA-POLYMERASE ETA
    • IN-VIVO
    • DRUG-METABOLISM
    • TARGETED DISRUPTION

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