Toxicogenomics Based Cellular Models

Toxicogenomics-Based Cellular Models is a unique and valuable reference for all academic and professional researchers employing toxicogenomic methods with respect to animal testing for chemical safety. This resource offers cutting-edge information on the application of toxicogenomics to developing alternatives to current animal toxicity tests. By illustrating the development of toxicogenomics-based cellular models for critical endpoints of toxicity and providing real-world examples for validation and data analysis, this book provides an assessment of the current state of the field, as well as opportunities and challenges for the future. Written by renowned international toxicological experts, this book explores ‘omics technology for developing new assays for toxicity testing and safety assessment and provides the reader with a focused examination of alternative means to animal testing. Describes the state-of-the-art in developing toxicogenomics-based cellular models for chemical-induced carcinogenicity, immunotoxicity, developmental toxicity, neurotoxicity and reproduction toxicity Illustrates how to validate toxicogenomics-based alternative test models and provides an outlook to societal and economic implementation of these novel assays Includes an overview of current testing methods and risk assessment frameworks Provides a real-world assessment by articulating the current development and challenges in toxicogenomics while suggesting ways to move this field forward

The new field of toxicogenomics presents a potentially powerful set of tools to better understand the health effects of exposures to toxicants in the environment. At the request of the National Institute of Environmental Health Sciences, the National Research Council assembled a committee to identify the benefits of toxicogenomics, the challenges to achieving them, and potential approaches to overcoming such challenges. The report concludes that realizing the potential of toxicogenomics to improve public health decisions will require a concerted effort to generate data, make use of existing data, and study data in new waysâ€"an effort requiring funding, interagency coordination, and data management strategies.

This new fifth edition of Information Resources in Toxicology offers a consolidated entry portal for the study, research, and practice of toxicology. Both volumes represents a unique, wide-ranging, curated, international, annotated bibliography, and directory of major resources in toxicology and allied fields such as environmental and occupational health, chemical safety, and risk assessment. The editors and authors are among the leaders of the profession sharing their cumulative wisdom in toxicology’s subdisciplines. This edition keeps pace with the digital world in directing and linking readers to relevant websites and other online tools. Due to the increasing size of the hardcopy publication, the current edition has been divided into two volumes to make it easier to handle and consult. Volume 1: Background, Resources, and Tools, arranged in 5 parts, begins with chapters on the science of toxicology, its history, and informatics framework in Part 1. Part 2 continues with chapters organized by more specific subject such as cancer, clinical toxicology, genetic toxicology, etc. The categorization of chapters by resource format, for example, journals and newsletters, technical reports, organizations constitutes Part 3. Part 4 further considers toxicology’s presence via the Internet, databases, and software tools. Among the miscellaneous topics in the concluding Part 5 are laws and regulations, professional education, grants and funding, and patents. Volume 2: The Global Arena offers contributed chapters focusing on the toxicology contributions of over 40 countries, followed by a glossary of toxicological terms and an appendix of popular quotations related to the field. The book, offered in both print and electronic formats, is carefully structured, indexed, and cross-referenced to enable users to easily find answers to their questions or serendipitously locate useful knowledge they were not originally aware they needed. Among the many timely topics receiving increased emphasis are disaster preparedness, nanotechnology, -omics, risk assessment, societal implications such as ethics and the precautionary principle, climate change, and children’s environmental health. Introductory chapters provide a backdrop to the science of toxicology, its history, the origin and status of toxicoinformatics, and starting points for identifying resources Offers an extensive array of chapters organized by subject, each highlighting resources such as journals, databases,organizations, and review articles Includes chapters with an emphasis on format such as government reports, general interest publications, blogs, and audiovisuals Explores recent internet trends, web-based databases, and software tools in a section on the online environment Concludes with a miscellany of special topics such as laws and regulations, chemical hazard communication resources, careers and professional education, K-12 resources, funding, poison control centers, and patents Paired with Volume Two, which focuses on global resources, this set offers the most comprehensive compendium of print, digital, and organizational resources in the toxicological sciences with over 120 chapters contributions by experts and leaders in the field

Genetic Toxicology is a comprehensive book covering the historical perspective of genetic toxicology; basic mechanisms of mutations and chromosomal effects; health consequences of genetic damage, including cancer and inheritable mutations; properties of physical, chemical, and biological mutagens; risk assessment of human exposure to genotoxicants; and the current position of some government regulatory agencies in the United States on the issues of genetic toxicology. The book will be a useful reference for students and researchers in toxicology, genetics, cancer biology, and medicine who are interested in the basic and applied principles of genetic toxicology. It will also benefit industrial toxicologists, products registration specialists, and government regulatory specialists with responsibility for the safety evaluation of industrial and environmental agents.

The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.

This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.

Efforts are being made by research organizations and cosmetic industries worldwide to develop more precise and targeted 3D models that mimic humans for testing cosmetic and personal health care product ingredients, following a complete ban on animal testing. This book includes several subtopics dedicated to the progress made, challenges faced, roadblocks encountered, and future prospects in the development and validation of 3D models for testing these products. The book consist of an editorial and 14 themed chapters that will showcase the significant progress made so far, challenges encountered, and future prospects in the development of 3D reconstruct models.

Toxicogenomics combines the use of toxicology and genomic sciences to elucidate chemical, toxic and environmental stressor effects on biological systems. Integrative toxicogenomics requires innovation in bioinformatics, statistics and systems toxicology and typically a combination of the utility of two of more of these disciplines to better understand molecular mechanisms involved in toxic responses. This Frontiers in Toxicogenomics Research Topic eBook focuses on integrative toxicogenomics more so at the late stage (analyzing each data set separately and then merging the results ) and brings together analyses that combine gene expression (microarray, TempO-Seq or RNA-Seq) with other data (biological assays, clinical chemistry, therapeutic categories or molecular pathways) or highlights data analytics that leverage bioinformatics and statistics. The eight articles illustrate the state-of-art in the field and the analysis of toxicogenomics data for a more comprehensive deduction of biological mechanisms and cellular functions associated with adverse outcomes from environmental exposures, chemicals and toxicants. However, it is clear that the field of integrative toxicogenomics needs considerably more attention paid to it in order to develop other clever ways of integrating the data for analysis.