Construction of a data dependent analysis (DDA) yeast cDNA microarray experiment for use in toxicogenomics.

DNA microarrays are becoming increasingly popular in toxicogenomic studies. It is common knowledge that multiple repeats of microarray experiments have to be performed with multiple samples to get reliable data, due to experimental variations (both technical and biological) contained in microarray experiments. However, the use of multiple samples and replicate experiments is not practical in the field of environmental toxicology, since environmental samples are limited and microarray experiments are expensive. Thus it is desirable to obtain reliable data from a minimum number of repeats of microarray experiments. To further establish and extend gene expression profiling for toxicogenomics using microarrays, it is necessary to establish an analytical method of microarrays for toxicogenomics. In this study, we attempted to construct a "Data Dependent Analysis (DDA)" yeast cDNA microarray experiment from 100 microarray datasets in order to get reliable data from one microarray experiment.