Eric Boitier
3 Papers
75 Citations
Eric Boitier is an academic researcher. The author has contributed to research in topics: Gene & Gene expression profiling. The author has an hindex of 3, co-authored 3 publications.
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Papers
Development and evaluation of a genomic signature for the prediction and mechanistic assessment of nongenotoxic hepatocarcinogens in the rat.
Mark R. Fielden,Alex T. Adai,Robert T. Dunn,Andrew J. Olaharski,George H. Searfoss,Joe Sina,Jiri Aubrecht,Eric Boitier,Paul Nioi,Scott S. Auerbach,David Jacobson-Kram,Nandini Raghavan,Yang Yang,Andrew Kincaid,Jon Sherlock,Shen-Jue Chen,Bruce D. Car +16 more
TL;DR: Results support a potential early preclinical testing paradigm to catalyze broader understanding of putative NGHCs and reveal that different modes of action for nongenotoxic and genotoxic compounds can be discriminated based on the expression of specific genes.
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Characterization and interlaboratory comparison of a gene expression signature for differentiating genotoxic mechanisms.
Heidrun Ellinger-Ziegelbauer,Jennifer Fostel,Chinami Aruga,Douglas C. Bauer,Eric Boitier,Shibing Deng,Donna A. Dickinson,Anne-Celine Le Fevre,Albert J. Fornace,Olivier Grenet,Yi-Zhong Gu,Jean-Christophe Hoflack,Masako Shiiyama,Roger J. Smith,Ronald D. Snyder,Catherine Spire,Gotaro Tanaka,Jiri Aubrecht +17 more
TL;DR: The potential of toxicogenomic analysis for investigation of genotoxic mechanisms is confirmed and it is concluded that expression analysis of a relevant gene set is capable of distinguishing compounds that cause DNA adducts or double strand breaks from those that interfere with mitotic spindle function or that cause chromosome damage as a consequence of cytotoxicity.
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Laboratory variability does not preclude identification of biological functions impacted by hydroxyurea.
Arne Müller,Eric Boitier,Ting Hu,Gregory J. Carr,Anne-Celine Le Fevre,Jean-Pierre Marchandeau,Manoli Flor,Felicia Jefferson,Marilyn J. Aardema,Véronique Thybaud +9 more
TL;DR: The 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.
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