E-GEOD-3254 - Transcription profiling of Stratagene human universal reference RNA labelled with different labelling protocols to test labelling protocols

Submitted on 6 September 2005, released on 24 July 2007, last updated on 27 March 2012
Homo sapiens
Samples (20)
Array (1)
Protocols (7)
Considerable variation in gene expression data from different DNA microarray platforms has been demonstrated. However, no characterization of the source of variation arising from labeling protocols has been performed. To analyze the variation associated with T7-based RNA amplification/labeling methods, aliquots of the Stratagene Human Universal Reference RNA were labeled using 3 eukaryotic target preparation methods and hybridized to a single array type (Affymetrix U95Av2). Variability was measured in yield and size distribution of labeled products, as well as in the gene expression results. All methods showed a shift in cRNA size distribution, when compared to un-amplified mRNA, with a significant increase in short transcripts for methods with long IVT reactions. Intra-method reproducibility showed correlation coefficients >0.99, while inter-method comparisons showed coefficients ranging from 0.94 to 0.98 and a nearly two-fold increase in coefficient of variation. Fold amplification for each method was positively correlated with the number of present genes. Two factors that introduced significant bias in gene expression data were observed: a) number of labeled nucleotides that introduces sequence dependent bias, and b) the length of the IVT reaction that introduces a transcript size dependent bias. This study provides evidence of amplification method dependent biases in gene expression data.
Experiment types
transcription profiling by array, co-expression, optimization, unknown experiment type
In vitro transcription amplification and labeling methods contribute to the variability of gene expression profiling with DNA microarrays. Changqing Ma, Maureen Lyons-Weiler, Wenjing Liang, William LaFramboise, John R Gilbertson, Michael J Becich, Federico A Monzon. The Journal of molecular diagnostics : JMD 8(2):183-92 (2006)
Investigation descriptionE-GEOD-3254.idf.txt
Sample and data relationshipE-GEOD-3254.sdrf.txt
Raw data (1)E-GEOD-3254.raw.1.zip
Processed data (1)E-GEOD-3254.processed.1.zip
Array designA-AFFY-1.adf.txt
R ExpressionSetE-GEOD-3254.eSet.r