Title
Systems toxicology: Applications of toxicogenomics, transcriptomics, proteomics and metabolomics in toxicology
Author
TNO Kwaliteit van Leven
Heijne, W.H.M.
Kienhuis, A.S.
vnn Ommen, B.
Stierum, R.H.
Groten, J.P.
Publication year
2005
Abstract
Toxicogenomics can facilitate the identification and characterization of toxicity, as illustrated in this review. Toxicogenomics, the application of the functional genomics technologies (transcriptomics, proteomics and metabolomics) in toxicology enables the study of adverse effects of xenobiotic substances in relation to structure and activity of the genome. The advantages and limitations of the different technologies are evaluated, and the prospects for integration of the technologies into a systems biology or systems toxicology approach are discussed. Applications of toxicogenomics in various laboratories around the world show that the crucial steps and sequence of events at the molecular level can be studied to provide detailed insights into mechanisms of toxic action. Toxicogenomics allowed for more sensitive and earlier detection of adverse effects in (animal) toxicity studies. Furthermore, the effects of exposure to mixtures could be studied in more detail. This review argues that in the (near) future, human health risk assessment will truly benefit from toxicogenomics (systems toxicology). © 2005 Future Drugs Ltd.
Subject
Physiological Sciences
Genomics
Metabolomics
Proteomics
Systems biology
Toxicogenomics
Toxicology
Transcriptomics
xenobiotic agent
animal testing reduction
animal testing refinement
animal testing replacement
bioinformatics
functional genomics
health hazard
information processing
metabolomics
proteomics
review
risk assessment
toxicity testing
toxicogenetics
toxicogenomics
transcriptomics
Animals
Humans
Proteomics
Risk Assessment
Systems Biology
Toxicogenetics
Transcription, Genetic
Animalia
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http://resolver.tudelft.nl/uuid:1402c68c-222b-4806-90b8-8d6132ead535
DOI
https://doi.org/10.1586/14789450.2.5.767
TNO identifier
238737
ISSN
1478-9450
Source
Expert Review of Proteomics, 2 (2), 767-780
Document type
article