The web supplement to G. Mercier et al.
Nucleic Acids Research, 2004, Vol. 32, No. 1 e12
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| BIOLOGICAL DETECTION OF LOW RADIATION DOSES BY COMBINING RESULTS OF TWO ANALYSIS METHODS |
| G. MERCIER1, N. BERTHAULT1, J. MARY2, J. PEYRE3, A. ANTONIADIS3, J-P. COMET4, A. CORNUEJOLS2, C. FROIDEVAUX2 AND M. DUTREIX1# |
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1 CNRS-UMR 2027, Institut Curie, Bât. 110, Centre Universitaire, F-91405 Orsay, France 2 LRI, CNRS-UMR 8623, Bât. 490, Université Paris Sud, F-91405 Orsay, France 3 LMC-IMAG, Université Joseph Fourier, BP 53, F-38041 Grenoble, France 4 LaMI, Université d'Evry, Tour Evry 2, 523 Place des terrasses de l'Agora, 91000 Evry, France # correspondence should be addressed to M.D. |
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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 compared gene expression patterns in Saccharomyces cerevisiae growing in the absence and continuous presence of varying low doses of radiation. We show that genes participating in mitochondrial membrane functions were specifically induced. We demonstrate that transcriptional changes can be detected in cells cultured in the presence of just 0.1 mGy/h of ionizing radiation, a dose that is 1000-fold lower than the minimal dose associated with mutagenic effects. |
| Download data: | |
| MIAME description | Mercier_2003_MIAME.doc (626Kb) |
| Microarray List | Mercier_2003_MicroarrayList.xls (15Kb) |
| Array Design description | Mercier_2003_ArrayDesign.tar.gz (414Kb) |
| Raw Data | Mercier_2003_RawData.tar.gz (19Mb) |
| Analysed Data | Mercier_2003_Ratios.xls (3Mb) |
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| Publication | Get the publication from Nucleic Acids Research |
| UMR 2027 CNRS/IC, Recombination and genomic instability group | Visit their web site |
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