Toxicogenomics in Predictive Carcinogenicity (Issues in Toxicology) - Hardcover

Über die Autorin bzw. den Autor

Dr Michael D. Waters is currently a Consultant with Integrated Laboratory Systems Inc. He is also an Adjunct Professor of Toxicology at the University of North Carolina at Chapel Hill and of Pharmacology and Toxicology at Duke University. He is Editor of Mutation Research - Reviews in Mutation Research. He has over 35 years of experience as a biochemist, genetic toxicologist, toxicogenomics and information scientist. Over the last 20 years Dr Waters has also worked extensively on database development; designing and conducting genotoxicity assays and chemoprevention studies in in vitro models; and studying genomics, clinical and toxicologic pathology.

Dr Russell S. Thomas is Director of the National Center for Computational Toxicology with the U.S. Environmental Protection Agency. Prior to this he was Director of the Institute for Chemical Safety Sciences at The Hamner Institutes for Health Sciences for over 10 years. Dr. Thomas also maintains an adjunct faculty appointment in the Division of Pharmacogenomics and Individualized Therapy at the University of North Carolina at Chapel Hill. Dr. Thomas has additionally been active in molecular biology and genomics research at the McArdle Cancer Research Laboratory at the University of Wisconsin.

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Research over the past decade has demonstrated that TGx methods of various types can be used to discriminate modes of mutagenesis as a function of dose. TGx can quickly inform safety evaluation regarding potential mechanisms of conventional outcomes and can provide essential dose-response information. This can then be used to ascertain the sequence of key events in a putative mode of action as may apply in quantitative cancer risk assessment. With the increasing complexity of research in mode of action investigations it is important to gain a better understand of approaches to data integration and health risk assessment. Furthermore, it is essential to consider how novel test systems and newer methods and approaches may be used in future to gain a better understanding of mechanisms.

Toxicogenomics in Predictive Carcinogenicity describes toxicogenomics methods in predictive carcinogenicity testing, mode of action and safety evaluation, and cancer risk assessment. It illustrates these methods using case studies that have yielded significant new information on compounds and classes of compounds that have proven difficult to evaluate using conventional methods alone. This book additionally covers current and potential toxicogenomic research using stem cells as well as new bioinformatics methods for drug discovery and environmental toxicology.

This publication is an indispensable tool for postgraduates, academics and industrialists working in biochemistry, genomics, carcinogenesis, pathology, pharmaceuticals, food technology, bioinformatics, risk assessment and environmental toxicology.

Aus dem Klappentext

Research over the past decade has demonstrated that TGx methods of various types can be used to discriminate modes of mutagenesis as a function of dose. TGx can quickly inform safety evaluation regarding potential mechanisms of conventional outcomes and can provide essential dose-response information. This can then be used to ascertain the sequence of key events in a putative mode of action as may apply in quantitative cancer risk assessment. With the increasing complexity of research in mode of action investigations it is important to gain a better understand of approaches to data integration and health risk assessment. Furthermore, it is essential to consider how novel test systems and newer methods and approaches may be used in future to gain a better understanding of mechanisms.

Toxicogenomics in Predictive Carcinogenicity describes toxicogenomics methods in predictive carcinogenicity testing, mode of action and safety evaluation, and cancer risk assessment. It illustrates these methods using case studies that have yielded significant new information on compounds and classes of compounds that have proven difficult to evaluate using conventional methods alone. This book additionally covers current and potential toxicogenomic research using stem cells as well as new bioinformatics methods for drug discovery and environmental toxicology.

This publication is an indispensable tool for postgraduates, academics and industrialists working in biochemistry, genomics, carcinogenesis, pathology, pharmaceuticals, food technology, bioinformatics, risk assessment and environmental toxicology.