Genomic approaches for cross-species extrapolation in toxicology : proceedings from the Workshop on Emerging Molecular and Computational Approaches for Cross-Species Extrapolations, 18-22 July 2004, Portland, Oregon, USA

Genomic approaches for cross-species extrapolation in toxicology : proceedings from the Workshop on Emerging Molecular and Computational Approaches for Cross-Species Extrapolations, 18-22 July 2004, Portland, Oregon, USA

  • نوع فایل : کتاب
  • زبان : انگلیسی
  • مؤلف : William H Benson; Society for Environmental Toxicology and Chemistry.; et al
  • ناشر : Boca Raton, Fla : CRC Press
  • چاپ و سال / کشور: 2007
  • شابک / ISBN : 9781420043341

Description

"OMIC" APPROACHES IN THE CONTEXT OF ENVIRONMENTAL TOXICOLOGY Introduction Overview of Omic Technologies Discovery-Driven Versus Hypothesis-Driven Research: A Need for Balance Advantages, Challenges, and Solutions of Omic Technologies Pathway Mapping - The Future of Omic Technologies An Example of Cross Species Extrapolation Using Transcriptomics Recommendations Future References SELECTION OF SURROGATE ANIMAL SPECIES FOR COMPARATIVE TOXICOGENOMICS Introduction Brief Review on Studies Using Comparative Genomics Selection Criteria for Surrogate Species Selection of Surrogate Species Discussion Conclusions References SPECIES DIFFERENCES IN RESPONSE TO TOXIC SUBSTANCES: SHARED PATHWAYS OF TOXICITY What Omics Approaches Would be of Greatest Value in Predictive Toxicology that Utilizes Biologically Relevant Effects in Organisms or the Environment? How Can Omics be Utilized to Understand Mechanism and/or Mode of Action? How do we Integrate Responses Across Gene Expression, Proteomics, and Metabolomics and Apply this to Make a Science-Based Statement About the Health of an Organism? How Does Development of Omic Technologies Impact the Interspecies Extrapolation Process? What are the Key Limitations/Considerations in Using Omics Technologies to Inform Mechanism of Cross-Species Differences in Response to Xenobiotics? Conclusions Recommendations BIOINFORMATIC APPROACHES AND COMPUTATIONAL MODELS FOR DATA INTEGRATION AND CROSS-SPECIES EXTRAPOLATION IN THE POST-GENOMIC ERA Introduction Mechanistic vs. Classification Studies Computational Methods for Ortholog Identification Interpreting Expression Data Across Species Integrating Data Across Domains Supervised and Unsupervised Analysis for Toxicogenomics Networks The Problem of Validation Predictive Toxicology Recommendations for Advancing the Field Concluding Remarks References THE EXTENSION OF MOLECULAR AND COMPUTATIONAL INFORMATION TO RISK ASSESSMENT AND REGULATORY DECISION-MAKING Introduction Overview of Human and Ecological Risk Assessment Potential of 'Omics to Improve Risk Assessment The Path Forward? Conclusions and Recommendations Acknowledgements References
Outlines a research agenda utilizing technologies in omics and computational biology in order to elucidate similarities and differences among species; relate stressor-mediated responses to adverse outcomes; and, extend this science into approaches to risk assessment and regulatory decision-making.
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