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Evaluation of DNA microarray results with quantitative gene expression platforms
- 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.
- Subjects :
- Genetics
Microarray
Quality Assurance, Health Care
Microarray analysis techniques
Gene Expression Profiling
Biomedical Engineering
Reproducibility of Results
Bioengineering
Equipment Design
Biology
Registered trademark
Applied Microbiology and Biotechnology
Sensitivity and Specificity
Gene expression profiling
Equipment Failure Analysis
Gene expression
TaqMan
Molecular Medicine
DNA microarray
Gene
Biotechnology
Oligonucleotide Array Sequence Analysis
Subjects
Details
- ISSN :
- 10870156
- Volume :
- 24
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Nature biotechnology
- Accession number :
- edsair.doi.dedup.....b0dbba05d08f58122b3faec9845bd93a