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Published online 13 January 2004

Nucleic Acids Research, 2004, Vol. 32, No. 1 e12
© 2004 Oxford University Press

Biological detection of low radiation doses by combining results of two microarray analysis methods

G. Mercier, N. Berthault, J. Mary1, J. Peyre2, A. Antoniadis2, J.-P. Comet3, A. Cornuejols1, C. Froidevaux1 and M. Dutreix*

CNRS-UMR 2027, Institut Curie, Bâtiment 110, Centre Universitaire, F-91405 Orsay, France, 1 LRI, CNRS-UMR 8623, Bât. 490, Université Paris Sud, F-91405 Orsay, France, 2 LMC-IMAG, Université Joseph Fourier, BP 53, F-38041 Grenoble, France and 3 LaMI, Université d’Evry, Tour Evry 2, 523 Place des terrasses de l’Agora, 91000 Evry, France

*To whom correspondence should be addressed. Tel: +33 1 69867186; Fax: +33 1 69869429; Email: marie.dutreix{at}curie.u-psud.fr

The accurate determination of the biological effects of low doses of pollutants is a major public health challenge. DNA microarrays are a powerful tool for investigating small intracellular changes. However, the inherent low reliability of this technique, the small number of replicates and the lack of suitable statistical methods for the analysis of such a large number of attributes (genes) impair accurate data interpretation. To overcome this problem, we combined results of two independent analysis methods (ANOVA and RELIEF). We applied this analysis protocol to compare gene expression patterns in Saccharomyces cerevisiae growing in the absence and continuous presence of varying low doses of radiation. Global distribution analysis highlights the importance of mitochondrial membrane functions in the response. We demonstrate that microarrays detect cellular changes induced by irradiation at doses that are 1000-fold lower than the minimal dose associated with mutagenic effects.


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