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

doi:10.1093/toxsci/kfr075

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 journal › Article › peer-review

108 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 language	English
Pages (from-to)	207-233
Number of pages	27
Journal	Toxicological Sciences
Volume	121
Issue number	2
DOIs	https://doi.org/10.1093/toxsci/kfr075
Publication status	Published - Jun 2011

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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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10.1093/toxsci/kfr075

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Boverhof, D. R., Chamberlain, M. P., Elcombe, C. R., Gonzalez, F. J., Heflich, R. H., Hernandez, L. G., Jacobs, A. C., Jacobson-Kram, D., Luijten, M., Maggi, A., Manjanatha, M. G., van Benthem, J., & Gollapudi, B. B. (2011). Transgenic Animal Models in Toxicology: Historical Perspectives and Future Outlook. Toxicological Sciences, 121(2), 207-233. https://doi.org/10.1093/toxsci/kfr075

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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.",

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Transgenic Animal Models in Toxicology: Historical Perspectives and Future Outlook

Abstract

UN SDGs

Keywords

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