Genomic Approaches for Cross-Species Extrapolation in Toxicology
Editat de William H. Benson, Richard T. Di Giulioen Limba Engleză Hardback – 13 dec 2006
The book introduces genomic, transcriptomic, proteomic, and metabolomic technologies. It describes the advantages and challenges associated with these approaches compared to traditional methodologies, particularly from the perspective of cross-species extrapolation within human and environmental toxicology, and explores solutions that will facilitate the incorporation of these technologies into predictive toxicology. The book goes on to identify and prioritize species of animals that can serve as surrogates for environmental and human health in comparative toxicogenomic studies. The chapter authors elucidate similarities and differences among species, relate stressor-mediated responses to adverse outcomes, and extend this science into innovative approaches to risk assessment and regulatory decision-making.
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Specificații
ISBN-13: 9781420043341
ISBN-10: 142004334X
Pagini: 216
Ilustrații: 16 b/w images and 9 tables
Dimensiuni: 156 x 234 x 17 mm
Greutate: 1 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 142004334X
Pagini: 216
Ilustrații: 16 b/w images and 9 tables
Dimensiuni: 156 x 234 x 17 mm
Greutate: 1 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
ProfessionalCuprins
"Omic" Approaches in the Context of Environmental Toxicology. Selection of Surrogate Animal Species for Comparative Toxicogenomics. Species Differences in Response to Toxic Substances: Shared Pathways of Toxicity. Bioinformatic Approaches and Computational Models for Data Integration and Cross-Species Extrapolation in the Post-Genomic Era. The Extension of Molecular and Computational Information to Risk Assessment and Regulatory Decision-Making.
Notă biografică
William H. Benson, Richard T. Di Giulio
Descriere
Covering computational approaches and cross-species extrapolations, Genomic Approaches for Cross-Species Extrapolation in Toxicology outlines a research agenda utilizing emerging technologies in omics and computational biology in order to 1) elucidate similarities and differences among species, 2) relate stressor-mediated responses to adverse outcomes, and 3) extend this science into innovative approaches to risk assessment and regulatory decision-making. The book provides a meaningful starting point for future work regarding the use of emerging molecular and computational approaches for cross-species extrapolations.