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Evaluation of DNA microarray results with quantitative gene expression platforms
Authors:Canales Roger D  Luo Yuling  Willey James C  Austermiller Bradley  Barbacioru Catalin C  Boysen Cecilie  Hunkapiller Kathryn  Jensen Roderick V  Knight Charles R  Lee Kathleen Y  Ma Yunqing  Maqsodi Botoul  Papallo Adam  Peters Elizabeth Herness  Poulter Karen  Ruppel Patricia L  Samaha Raymond R  Shi Leming  Yang Wen  Zhang Lu  Goodsaid Federico M
Institution:Applied Biosystems, 850 Lincoln Centre Dr., Foster City, California 94404, USA.
Abstract:We have evaluated the performance characteristics of three quantitative gene expression technologies and correlated their expression measurements to those of five commercial microarray platforms, based on the MicroArray Quality Control (MAQC) data set. The limit of detection, assay range, precision, accuracy and fold-change correlations were assessed for 997 TaqMan Gene Expression Assays, 205 Standardized RT (Sta)RT-PCR assays and 244 QuantiGene assays. TaqMan is a registered trademark of Roche Molecular Systems, Inc. We observed high correlation between quantitative gene expression values and microarray platform results and found few discordant measurements among all platforms. The main cause of variability was differences in probe sequence and thus target location. A second source of variability was the limited and variable sensitivity of the different microarray platforms for detecting weakly expressed genes, which affected interplatform and intersite reproducibility of differentially expressed genes. From this analysis, we conclude that the MAQC microarray data set has been validated by alternative quantitative gene expression platforms thus supporting the use of microarray platforms for the quantitative characterization of gene expression.
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