Literature DB >> 15120960

Identification of a gene expression profile that discriminates indirect-acting genotoxins from direct-acting genotoxins.

Ting Hu1, David P Gibson, Gregory J Carr, Suzanne M Torontali, Jay P Tiesman, Joel G Chaney, Marilyn J Aardema.   

Abstract

During the safety evaluation process of new drugs and chemicals, a battery of genotoxicity tests is conducted starting with in vitro genotoxicity assays. Obtaining positive results in in vitro genotoxicity tests is not uncommon. Follow-up studies to determine the biological relevance of positive genotoxicity results are costly, time consuming, and utilize animals. More efficient methods, especially for identifying a putative mode of action like an indirect mechanism of genotoxicity (where DNA molecules are not the initial primary targets), would greatly improve the risk assessment for genotoxins. To this end, we are participating in an International Life Sciences Institute (ILSI) project involving studies of gene expression changes caused by model genotoxins. The purpose of the work is to evaluate gene expression tools in general, and specifically for discriminating genotoxins that are direct-acting from indirect-acting. Our lab has evaluated gene expression changes as well as micronuclei (MN) in L5178Y TK(+/-) mouse lymphoma cells treated with six compounds. Direct-acting genotoxins (where DNA is the initial primary target) that were evaluated included the DNA crosslinking agents, mitomycin C (MMC) and cisplatin (CIS), and an alkylating agent, methyl methanesulfonate (MMS). Indirect-acting genotoxins included hydroxyurea (HU), a ribonucleotide reductase inhibitor, taxol (TXL), a microtubule inhibitor, and etoposide (ETOP), a DNA topoisomerase II inhibitor. Microarray gene expression analysis was conducted using Affymetrix mouse oligonucleotide arrays on RNA samples derived from cells which were harvested immediately after the 4 h chemical treatment, and 20 h after the 4 h chemical treatment. The evaluation of these experimental results yields evidence of differentially regulated genes at both 4 and 24 h time points that appear to have discriminating power for direct versus indirect genotoxins, and therefore may serve as a fingerprint for classifying chemicals when their mechanism of action is unknown.

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Year:  2004        PMID: 15120960     DOI: 10.1016/j.mrfmmm.2003.11.012

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  10 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.  Large-scale analysis of expression signatures reveals hidden links among diverse cellular processes.

Authors:  Steven X Ge
Journal:  BMC Syst Biol       Date:  2011-05-29

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.  Genotoxicants target distinct molecular networks in neonatal neurons.

Authors:  Glen E Kisby; Antoinette Olivas; Melissa Standley; Xinfang Lu; Patrick Pattee; Jean O'Malley; Xiaorong Li; Juan Muniz; Srinavasa R Nagalla
Journal:  Environ Health Perspect       Date:  2006-11       Impact factor: 9.031

5.  Integration of metabolic activation with a predictive toxicogenomics signature to classify genotoxic versus nongenotoxic chemicals in human TK6 cells.

Authors:  Julie K Buick; Ivy Moffat; Andrew Williams; Carol D Swartz; Leslie Recio; Daniel R Hyduke; Heng-Hong Li; Albert J Fornace; Jiri Aubrecht; Carole L Yauk
Journal:  Environ Mol Mutagen       Date:  2015-03-02       Impact factor: 3.216

6.  Cross-species toxicogenomic analyses and phenotypic anchoring in response to groundwater low-level pollution.

Authors:  Immacolata Porreca; Fulvio D'Angelo; Daniela Gentilcore; Emanuele Carchia; Angela Amoresano; Andrea Affuso; Michele Ceccarelli; Pasquale De Luca; Libera Esposito; Francesco M Guadagno; Massimo Mallardo; Antonio Nardone; Sergio Maccarone; Francesca Pane; Marzia Scarfò; Paolo Sordino; Mario De Felice; Concetta Ambrosino
Journal:  BMC Genomics       Date:  2014-12-05       Impact factor: 3.969

7.  High-throughput in vivo genotoxicity testing: an automated readout system for the somatic mutation and recombination test (SMART).

Authors:  Benoit Lombardot; Chun-Taek Oh; Jihoon Kwak; Auguste Genovesio; Myungjoo Kang; Michael Adsett Edberg Hansen; Sung-Jun Han
Journal:  PLoS One       Date:  2015-04-01       Impact factor: 3.240

8.  Inhibitory effect of Camellia sinensis, Ilex paraguariensis and Ardisia compressa tea extracts on the proliferation of human head and neck squamous carcinoma cells.

Authors:  Marco Vinicio Ramirez-Mares; Hideka Kobayashi; Elvira Gonzalez de Mejia
Journal:  Toxicol Rep       Date:  2016-02-01

9.  Altered gene expression and DNA damage in peripheral blood cells from Friedreich's ataxia patients: cellular model of pathology.

Authors:  Astrid C Haugen; Nicholas A Di Prospero; Joel S Parker; Rick D Fannin; Jeff Chou; Joel N Meyer; Christopher Halweg; Jennifer B Collins; Alexandra Durr; Kenneth Fischbeck; Bennett Van Houten
Journal:  PLoS Genet       Date:  2010-01-15       Impact factor: 5.917

10.  Application of the TGx-28.65 transcriptomic biomarker to classify genotoxic and non-genotoxic chemicals in human TK6 cells in the presence of rat liver S9.

Authors:  Carole L Yauk; Julie K Buick; Andrew Williams; Carol D Swartz; Leslie Recio; Heng-Hong Li; Albert J Fornace; Errol M Thomson; Jiri Aubrecht
Journal:  Environ Mol Mutagen       Date:  2016-03-04       Impact factor: 3.216

  10 in total

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