Literature DB >> 12929121

cDNA microarray gene expression profiling of hydroxyurea, paclitaxel, and p-anisidine, genotoxic compounds with differing tumorigenicity results.

Michael Lee1, Jung Kwon, Se Nyun Kim, Ja Eun Kim, Woo Suk Koh, Eun-Joo Kim, Moon-Koo Chung, Sang-Seop Han, Chang Woo Song.   

Abstract

The potential application of toxicogenomics to predictive toxicology has been discussed widely, but the utility of the approach remains largely unproven. Using cDNA microarrays, we compared the gene expression profiles produced in mouse lymphoma cells by three genotoxic compounds, hydroxyurea (a carcinogen), p-anisidine (a noncarcinogen), and paclitaxel (carcinogenicity unknown). To minimize the effect of biological variability and technological limitations, quadruplicate observations were made for each compound and a subset of genes yielding reproducible induction/repression was selected for comparison. A method was applied to attach normalized expression data to genes with a low false-discovery rate (<0.1) to yield more confidence regarding differential expression. This analysis identified genotoxicity-specific gene expression. Seven genes were consistently upregulated and 12 downregulated more than 2-fold by the three genotoxic compounds. Using additional genes, the expression pattern induced by the genotoxic noncarcinogen, p-anisidine, was readily distinguished from that associated with the genotoxic carcinogen, hydroxyurea. Comparison of paclitaxel-induced expression data to data for p-anisidine and hydroxyurea suggested that paclitaxel's profile is more similar to the genotoxic noncarcinogen. With further supporting evidence it may be possible to perform large-scale monitoring of gene expression during drug and chemical development that can provide an early warning of potential toxicological responses. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12929121     DOI: 10.1002/em.10177

Source DB:  PubMed          Journal:  Environ Mol Mutagen        ISSN: 0893-6692            Impact factor:   3.216


  5 in total

1.  Characterization and interlaboratory comparison of a gene expression signature for differentiating genotoxic mechanisms.

Authors:  Heidrun Ellinger-Ziegelbauer; Jennifer M Fostel; Chinami Aruga; Daniel Bauer; Eric Boitier; Shibing Deng; Donna Dickinson; Anne-Celine Le Fevre; Albert J Fornace; Olivier Grenet; Yizhong Gu; Jean-Christophe Hoflack; Masako Shiiyama; Roger Smith; Ronald D Snyder; Catherine Spire; Gotaro Tanaka; Jiri Aubrecht
Journal:  Toxicol Sci       Date:  2009-05-22       Impact factor: 4.849

2.  RUNX3 suppresses gastric epithelial cell growth by inducing p21(WAF1/Cip1) expression in cooperation with transforming growth factor {beta}-activated SMAD.

Authors:  Xin-Zi Chi; Jeung-Ook Yang; Kwang-Youl Lee; Kosei Ito; Chohei Sakakura; Qing-Lin Li; Hye-Ryun Kim; Eun-Jeung Cha; Yong-Hee Lee; Atsushi Kaneda; Toshikazu Ushijima; Wun-Jae Kim; Yoshiaki Ito; Suk-Chul Bae
Journal:  Mol Cell Biol       Date:  2005-09       Impact factor: 4.272

3.  Effect of chemical mutagens and carcinogens on gene expression profiles in human TK6 cells.

Authors:  Lode Godderis; Reuben Thomas; Alan E Hubbard; Ali M Tabish; Peter Hoet; Luoping Zhang; Martyn T Smith; Hendrik Veulemans; Cliona M McHale
Journal:  PLoS One       Date:  2012-06-18       Impact factor: 3.240

4.  Variation in Gamma-Globin Expression before and after Induction with Hydroxyurea Associated with BCL11A, KLF1 and TAL1.

Authors:  Amanda J Grieco; Henny H Billett; Nancy S Green; M Catherine Driscoll; Eric E Bouhassira
Journal:  PLoS One       Date:  2015-06-08       Impact factor: 3.240

5.  HbF Levels in Sickle Cell Disease Are Associated with Proportion of Circulating Hematopoietic Stem and Progenitor Cells and CC-Chemokines.

Authors:  Caterina P Minniti; Seda S Tolu; Kai Wang; Zi Yan; Karl Robert; Shouping Zhang; Andrew S Crouch; Joan Uehlinger; Deepa Manwani; Eric E Bouhassira
Journal:  Cells       Date:  2020-09-29       Impact factor: 6.600

  5 in total

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