ABSTRACT
Two sources of randomly generated error associated with the reproducibility of microarray data are systematic and experimental errors. While both oligonucleotide arrays and cDNA microarray platforms experience the challenges of experimental and systematic error, the extent of their influences may be quite different. IncyteGenomics reported the highly reproducible performance of its cDNA microarray technology platform. W. P. Chuo and colleagues reported a poor correlation of messenger RNA measurements from two large-scale microarray studies analyzing gene expression in multiple cancer cell lines. The research was based on the publicly available data measured with Stanford-type cDNA microarrays and Affymetrix oligonucleotide microarrays. This research represented the first comparative study on the large-scale analysis of data generated from spotted cDNA arrays and microarrays with synthesized oligonucleotides, the two most commonly used microarray platforms. For the Incyte long cDNA array, every clone was selected from the UniGem database, which contains sequences that have been verified as being representative of the desired gene.
