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Integrative Toxicogenomics: Analytical Strategies to Amalgamate Exposure Effects with Genomic Sciences
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 (b...
Biological Concepts and Techniques in Toxicology
Highlighting the latest advances in molecular biology, mathematical modeling, quantitative risk assessment, and biopharmaceutical development, this reference presents how current scientific applications and methods impact and revolutionize mainstream toxicological research. Presenting findings from disciplines that will impact the future of toxicol
Toxicogenomics
Toxicogenomics: Principles and Applications fills the need for a single, thorough text on the key breakthrough technologies in genomics, proteomics, metabolomics, and bioinformatics, and their applications to toxicology research. The first section following a general introduction is on genomics and toxicogenomics, and qPCR. The next sections are toxicoproteomics and metabolomics. The final section covers bioinformatics aspects, from databases to data integration strategies. A practical resource for specialists and non-specialists alike, this book includes numerous illustrations that support the textual explanations. It offers practical guidance to investigators wishing to pursue this line of research, and lists key relevant software and Internet resources.
Exposed Science
We rely on environmental health scientists to document the presence of chemicals where we live, work, and play and to provide an empirical basis for public policy. In the last decades of the 20th century, environmental health scientists began to shift their focus deep within the human body, and to the molecular level, in order to investigate gene-environment interactions. In Exposed Science, Sara Shostak analyzes the rise of gene-environment interaction in the environmental health sciences and examines its consequences for how we understand and seek to protect population health. Drawing on in-depth interviews and ethnographic observation, Shostak demonstrates that what we know – and what w...
Toxicogenomics in Predictive Carcinogenicity
Describes toxicogenomics methods in predictive carcinogenicity testing and cancer risk assessment. Addresses the use of stem cells and bioinformatics in toxicogenomics. For postgraduates, academics and industrialists.
Batch Effects and Noise in Microarray Experiments
Batch Effects and Noise in Microarray Experiments: Sources and Solutions looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information. Each chapter focuses on sources of noise and batch effects before starting an experiment, with examples of statistical methods for detecting, measuring, and managing batch effects within and across datasets provided online. Throughout the book the importance of standardization and the value of standard operating procedures in the development of genomics biomarkers is emphasized. Key Features: A thorough introduction to Batch Effects and Noise...
Emerging Bioinformatic Tools in Toxicogenomics
Toxicogenomics was established as a merger of toxicology with genomics approaches and methodologies more than 15 years ago, and considered of major value for studying toxic mechanisms-of-action in greater depth and for classification of toxic agents for predicting adverse human health risks. While the original focus was on technological validation of in particular microarray-based whole genome expression analysis (transcriptomics), mainly through cross-comparing different platforms for data generation (MAQC-I), it was soon appreciated that actually the wide variety of data analysis approaches represents the major source of inter-study variation. This led to early attempts towards harmonizing...
