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Normalized Affymetrix expression data are biased by G-quadruplex formation
Authors
Altman
Andrew P. Harrison
+35 more
Barrett
Bolstad
Burge
Cambon
Do
Dudoit
Eisen
Farhat N. Memon
Geller
Gellert
Giorgi
Graham J. G. Upton
Hammond
Harris
Hochreiter
Hubbell
Hugh P. Shanahan
Irizarry
Irizarry
Iwamoto
Kittleson
Langdon
Li
Memon
Memon
Naef
Patterson
Ringnér
Ryan
Sen
Stalteri
Upton
Upton
Walton
Wu
Publication date
1 January 2011
Publisher
'Oxford University Press (OUP)'
Doi
View
on
PubMed
Abstract
Probes with runs of four or more guanines (G-stacks) in their sequences can exhibit a level of hybridization that is unrelated to the expression levels of the mRNA that they are intended to measure. This is most likely caused by the formation of G-quadruplexes, where inter-probe guanines form Hoogsteen hydrogen bonds, which probes with G-stacks are capable of forming. We demonstrate that for a specific microarray data set using the Human HG-U133A Affymetrix GeneChip and RMA normalization there is significant bias in the expression levels, the fold change and the correlations between expression levels. These effects grow more pronounced as the number of G-stack probes in a probe set increases. Approximately 14 of the probe sets are directly affected. The analysis was repeated for a number of other normalization pipelines and two, FARMS and PLIER, minimized the bias to some extent. We estimate that ∼15 of the data sets deposited in the GEO database are susceptible to the effect. The inclusion of G-stack probes in the affected data sets can bias key parameters used in the selection and clustering of genes. The elimination of these probes from any analysis in such affected data sets outweighs the increase of noise in the signal. © 2011 The Author(s)
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