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   » » Wiki: Toxicogenomics
Tag Wiki 'Toxicogenomics'.
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Toxicogenomics is a subdiscipline of that deals with the collection, interpretation, and storage of information about and activity within a particular cell or tissue of an in response to exposure to . Toxicogenomics combines with or other high-throughput molecular profiling technologies such as , and .
(2025). 9780309095389, The National Academies Press. .
(2025). 9780471434177, Wiley-Liss.

Toxicogenomics endeavors to elucidate the molecular mechanisms evolved in the expression of toxicity, and to derive molecular expression patterns (i.e., molecular ) that predict toxicity or the genetic susceptibility to it.


Pharmaceutical research
In pharmaceutical research, toxicogenomics is defined as the study of the structure and function of the as it responds to adverse xenobiotic exposure. It is the toxicological subdiscipline of , which is broadly defined as the study of inter-individual variations in whole-genome or candidate gene single-nucleotide polymorphism maps, markers, and alterations in that might correlate with drug responses. Though the term toxicogenomics first appeared in the literature in 1999, it was by that time already in common use within the pharmaceutical industry as its origin was driven by marketing strategies from vendor companies. The term is still not universally accepted, and others have offered alternative terms such as to describe essentially the same field of study.


Bioinformatics
The nature and complexity of the data (in volume and variability) demands highly developed processes of automated handling and storage. The analysis usually involves a wide array of and , often including statistical classification approaches.

The volume and complexity of toxicogenomic data require automated data pipelines and scalable storage infrastructure. Modern analyses integrate workflows. Including transcriptome, proteome, and metabolome processing, along with statistical methods Https://doi.org/10.1093/toxsci/kfac075< /ref>. These techniques are commonly used for biomarker discovery and toxicity classification.


Drug discovery
In pharmaceutical and , toxicogenomics is used to study possible adverse (i.e. ) effects of pharmaceutical in defined in order to draw conclusions on the toxic risk to patients or the environment. Both the United States Environmental Protection Agency (EPA) and the Food and Drug Administration (FDA) currently preclude basing regulatory decision-making on genomics data alone. However, they do encourage the voluntary submission of well-documented, quality genomics data. Both agencies are considering the use of submitted data on a case-by-case basis for assessment purposes (e.g., to help elucidate mechanism of action or contribute to a weight-of-evidence approach) or for populating relevant comparative databases by encouraging parallel submissions of genomics data and traditional toxicological test results.


Public projects
Chemical Effects in Biological Systems is a project hosted by the National Institute of Environmental Health Sciences building a knowledge base of toxicology studies including study design, clinical pathology, and and toxicogenomics data.

InnoMed PredTox assesses the value of combining results from various technologies together with the results from more conventional toxicology methods in more informed decision-making in preclinical safety evaluation.

(2025). 9781588296382

Open TG-GATEs (Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System) is a Japanese public-private effort which has published gene expression and pathology information for more than 170 compounds (mostly drugs).

The Predictive Safety Testing Consortium aims to identify and clinically qualify safety biomarkers for regulatory use as part of the FDA's "Critical Path Initiative".

ToxCast is a program for Predicting Hazard, Characterizing Toxicity Pathways, and Prioritizing the Toxicity Testing of Environmental Chemicals at the United States Environmental Protection Agency.

Tox21 is a federal collaboration involving the National Institutes of Health (NIH), Environmental Protection Agency (EPA), and Food and Drug Administration (FDA), is aimed at developing better toxicity assessment methods. Within this project the toxic effects of chemical compounds on cell lines derived from the 1000 Genomes Project individuals were assessed and associations with genetic markers were determined. Parts of this data were used in the NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge in order to determine methods for cytotoxicity predictions for individuals.


See also


External links

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