Evaluation of DNA microarray results with quantitative gene expression platforms

被引:0
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作者
Roger D Canales
Yuling Luo
James C Willey
Bradley Austermiller
Catalin C Barbacioru
Cecilie Boysen
Kathryn Hunkapiller
Roderick V Jensen
Charles R Knight
Kathleen Y Lee
Yunqing Ma
Botoul Maqsodi
Adam Papallo
Elizabeth Herness Peters
Karen Poulter
Patricia L Ruppel
Raymond R Samaha
Leming Shi
Wen Yang
Lu Zhang
Federico M Goodsaid
机构
[1] Applied Biosystems,
[2] Panomics,undefined
[3] Inc.,undefined
[4] 6519 Dumbarton Circle,undefined
[5] University of Toledo,undefined
[6] ViaLogy Corp.,undefined
[7] University of Massachusetts-Boston,undefined
[8] 100 Morrissey Blvd.,undefined
[9] Gene Express,undefined
[10] Inc.,undefined
[11] Innovative Analytics,undefined
[12] National Center for Toxicological Research,undefined
[13] US Food and Drug Administration,undefined
[14] Center for Drug Evaluation and Research,undefined
[15] US Food and Drug Administration,undefined
来源
Nature Biotechnology | 2006年 / 24卷
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摘要
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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页码:1115 / 1122
页数:7
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