Literature DB >> 12011481

Gene expression analysis reveals chemical-specific profiles.

Hisham K Hamadeh1, Pierre R Bushel, Supriya Jayadev, Karla Martin, Olimpia DiSorbo, Stella Sieber, Lee Bennett, Raymond Tennant, Raymond Stoll, J Carl Barrett, Kerry Blanchard, Richard S Paules, Cynthia A Afshari.   

Abstract

The application of gene expression profiling technology to examine multiple genes and signaling pathways simultaneously promises a significant advance in understanding toxic mechanisms to ultimately aid in protection of public health. Public and private efforts in the new field of toxicogenomics are focused on populating databases with gene expression profiles of compounds where toxicological and pathological endpoints are well characterized. The validity and utility of a toxicogenomics is dependent on whether gene expression profiles that correspond to different chemicals can be distinguished. The principal hypothesis underlying a toxicogenomic or pharmacogenomic strategy is that chemical-specific patterns of altered gene expression will be revealed using high-density microarray analysis of tissues from exposed organisms. Analyses of these patterns should allow classification of toxicants and provide important mechanistic insights. This report provides a verification of this hypothesis. Patterns of gene expression corresponding to liver tissue derived from chemically exposed rats revealed similarity in gene expression profiles between animals treated with different agents from a common class of compounds, peroxisome proliferators [clofibrate (ethyl-p-chlorophenoxyisobutyrate), Wyeth 14,643 ([4-chloro-6(2,3-xylidino)-2-pyrimidinylthio]acetic acid), and gemfibrozil (5-2[2,5-dimethylphenoxy]2-2-dimethylpentanoic acid)], but a very distinct gene expression profile was produced using a compound from another class, enzyme inducers (phenobarbital).

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Year:  2002        PMID: 12011481     DOI: 10.1093/toxsci/67.2.219

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  78 in total

1.  Prediction of clinical drug efficacy by classification of drug-induced genomic expression profiles in vitro.

Authors:  Erik C Gunther; David J Stone; Robert W Gerwien; Patricia Bento; Melvyn P Heyes
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-17       Impact factor: 11.205

2.  Multiplex mRNA assay using electrophoretic tags for high-throughput gene expression analysis.

Authors:  Huan Tian; Liching Cao; Yuping Tan; Stephen Williams; Lili Chen; Tracy Matray; Ahmed Chenna; Sean Moore; Vincent Hernandez; Vivian Xiao; Mengxiang Tang; Sharat Singh
Journal:  Nucleic Acids Res       Date:  2004-09-08       Impact factor: 16.971

3.  Accelerating drug discovery.

Authors:  Sandra Kraljevic; Peter J Stambrook; Kresimir Pavelic
Journal:  EMBO Rep       Date:  2004-09       Impact factor: 8.807

4.  Genomic approaches with natural fish populations from polluted environments.

Authors:  Goran Bozinovic; Marjorie F Oleksiak
Journal:  Environ Toxicol Chem       Date:  2011-02       Impact factor: 3.742

5.  Transcriptional profiling and biological pathway analysis of human equivalence PCB exposure in vitro: indicator of disease and disorder development in humans.

Authors:  Somiranjan Ghosh; Partha S Mitra; Christopher A Loffredo; Tomas Trnovec; Lubica Murinova; Eva Sovcikova; Svetlana Ghimbovschi; Shizhu Zang; Eric P Hoffman; Sisir K Dutta
Journal:  Environ Res       Date:  2015-02-27       Impact factor: 6.498

Review 6.  Fish 'n' chips: the use of microarrays for aquatic toxicology.

Authors:  Nancy D Denslow; Natàlia Garcia-Reyero; David S Barber
Journal:  Mol Biosyst       Date:  2006-12-07

7.  Genomic profiling in CEPH cell lines distinguishes between the camptothecins and indenoisoquinolines.

Authors:  Venita Gresham Watson; Nicholas E Hardison; Tyndall Harris; Alison Motsinger-Reif; Howard L McLeod
Journal:  Mol Cancer Ther       Date:  2011-07-12       Impact factor: 6.261

Review 8.  The path from molecular indicators of exposure to describing dynamic biological systems in an aquatic organism: microarrays and the fathead minnow.

Authors:  Ann L Miracle; Gregory P Toth; David L Lattier
Journal:  Ecotoxicology       Date:  2003-12       Impact factor: 2.823

Review 9.  Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity.

Authors:  Alison Hege Harrill; Ivan Rusyn
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-11       Impact factor: 4.481

10.  Identification of a transcriptional fingerprint of estrogen exposure in rainbow trout liver.

Authors:  Abby D Benninghoff; David E Williams
Journal:  Toxicol Sci       Date:  2007-09-06       Impact factor: 4.849

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