Literature DB >> 17696809

Novel and future applications of microarrays in toxicological research.

Timothy W Gant1.   

Abstract

Microarray technologies have both fascinated and frustrated the toxicological community since their introduction around a decade ago. Fascination arose from the possibility offered by the technology to gain a profound insight into the cellular response to chemically mediated stress, and the potential that this genomic signature would be indicative of the biological mechanism by which that stress was induced. Frustrations have arisen primarily from technical factors such as data variance, the requirement for the application of advanced statistical and mathematical analysis, and difficulties associated with actually recognising signature gene expression patterns, and discerning mechanisms. Toxicogenomics was predicted to make toxicological assessment and extrapolation easier, faster and cheaper. The reality has been somewhat different; toxicogenomics is difficult. However, its potential when properly applied has been indicated by some well designed toxicogenomics studies, particularly in the differentiation of genotoxins from non-genotoxins. Technology waits though for no man. While the toxicological community has been working to apply transcriptomics (mRNA levels) in toxicology, the technology has moved beyond this application into new arenas. Some have application to toxicology and are reviewed here, except transcriptomics which has been extensively written about before. This review discusses the application of microarray technologies applied to the genome per se (amplifications, deletions, epigenetic change), mRNA translation and its control mechanisms through miRNA. Which of the new genomics technoï¿(1/2)logies will find most application in toxicology? In the opinion of the author there are three potentially major applications: i) arrayCGH in assessment and recognition of genotoxicity; ii) epigenetic assessment in developmental and transgenerational toxicology; and iii) miRNA assessment in all toxicology types, but particularly developmental toxicology.

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Year:  2007        PMID: 17696809     DOI: 10.1517/17425225.3.4.599

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  2 in total

1.  Induction of gene pattern changes associated with dysfunctional lipid metabolism induced by dietary fat and exposure to a persistent organic pollutant.

Authors:  Xabier Arzuaga; Na Ren; Arnold Stromberg; Esther P Black; Violeta Arsenescu; Lisa A Cassis; Zuzana Majkova; Michal Toborek; Bernhard Hennig
Journal:  Toxicol Lett       Date:  2009-05-23       Impact factor: 4.372

2.  Current and future applications of toxicogenomics: Results summary of a survey from the HESI Genomics State of Science Subcommittee.

Authors:  Syril Pettit; Shelley Ann des Etages; Louis Mylecraine; Ronald Snyder; Jennifer Fostel; Robert T Dunn; Kenneth Haymes; Manuel Duval; James Stevens; Cynthia Afshari; Alison Vickers
Journal:  Environ Health Perspect       Date:  2010-01-25       Impact factor: 9.031

  2 in total

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