Literature DB >> 16127667

Laboratory variability does not preclude identification of biological functions impacted by hydroxyurea.

Arne Müller1, Eric Boitier, Ting Hu, Gregory J Carr, Anne-Céline Le Fèvre, Jean-Pierre Marchandeau, Manoli Flor, Felicia Jefferson, Marilyn J Aardema, Véronique Thybaud.   

Abstract

The multi-lab International Life Sciences Institute (ILSI) project on the application of genomics to risk assessment offered the unique opportunity to investigate the influence of variability within and between laboratories on identifying biologically relevant gene expression changes. We assessed the gene expression profiles of mouse lymphoma L5178Y cells treated with hydroxyurea (HU) in three independent studies from two different laboratories, Sanofi Aventis and Procter and Gamble. Cells were dosed for 4 hr and harvested immediately at the end of the treatment or after a 20-hr recovery period. Cytotoxicity and genotoxicity were evaluated by standard assays. Statistical analysis of these data revealed that, while gene expression responses to HU treatment were markedly different at 4 hr vs. 24 hr, there was otherwise a consistent pattern of dose-response across the three studies. Therefore, the studies were merged and each time point was evaluated separately. At 4 hr, we identified 173 (P < 0.0001) dose-responsive genes with a common trend in all three studies. These were mainly associated with the cell cycle, DNA repair and DNA metabolism, and in particular, the intra-S and G2/M phase checkpoints. At 24 hr, we identified 434 dose-responsive genes common across studies. These genes were involved in lymphocyte-specific activities and the activation of apoptosis via the caspase cascade. Our results show that despite inter-laboratory variability, combining the three studies in a single statistical analysis identifies more significantly-modulated genes than in any of the individual studies, due to improved statistical sensitivity. The genes identified in our study provide information that is relevant to HU biology.

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Year:  2005        PMID: 16127667     DOI: 10.1002/em.20164

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


  3 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

Review 2.  Role of RAD51AP1 in homologous recombination DNA repair and carcinogenesis.

Authors:  Elena Pires; Patrick Sung; Claudia Wiese
Journal:  DNA Repair (Amst)       Date:  2017-09-22

3.  Toxicogenomic analysis incorporating operon-transcriptional coupling and toxicant concentration-expression response: analysis of MX-treated Salmonella.

Authors:  William O Ward; Carol D Swartz; Steffen Porwollik; Sarah H Warren; Nancy M Hanley; Geremy W Knapp; Michael McClelland; David M DeMarini
Journal:  BMC Bioinformatics       Date:  2007-10-09       Impact factor: 3.169

  3 in total

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