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Evaluation of DNA microarray results with quantitative gene expression platforms

Authors :
Lu Zhang
Kathleen Y. Lee
Federico Goodsaid
Yunqing Ma
Adam Papallo
Roderick V. Jensen
Karen Poulter
Raymond R. Samaha
Wen Yang
Catalin Barbacioru
Charles Knight
Patricia L. Ruppel
Botoul Maqsodi
Elizabeth Herness Peters
Leming Shi
Kathryn Hunkapiller
Yuling Luo
James C. Willey
Roger D. Canales
Bradley Austermiller
Cecilie Boysen
Source :
Nature biotechnology. 24(9)
Publication Year :
2006

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.

Details

ISSN :
10870156
Volume :
24
Issue :
9
Database :
OpenAIRE
Journal :
Nature biotechnology
Accession number :
edsair.doi.dedup.....b0dbba05d08f58122b3faec9845bd93a