Microarray labeling extension values: Laboratory signatures for Affymetrix GeneChips

Yun Shien Lee, Chun Houh Chen, Chi Neu Tsai, Chia Lung Tsai, Angel Chao, Tzu Hao Wang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

10 Scopus citations

Abstract

Interlaboratory comparison of microarray data, even when using the same platform, imposes several challenges to scientists. RNA quality, RNA labeling efficiency, hybridization procedures and data-mining tools can all contribute variations in each laboratory. In Affymetrix GeneChips, about 11-20 different 25-mer oligonucleotides are used to measure the level of each transcript. Here, we report that 'labeling extension values (LEVs)', which are correlation coefficients between probe intensities and probe positions, are highly correlated with the gene expression levels (GEVs) on eukayotic Affymetrix microarray data. By analyzing LEVs and GEVs in the publicly available 2414 cel files of 20 Affymetrix microarray types covering 13 species, we found that correlations between LEVs and GEVs only exist in eukaryotic RNAs, but not in prokaryotic ones. Surprisingly, Affymetrix results of the same specimens that were analyzed in different laboratories could be clearly differentiated only by LEVs, leading to the identification of 'laboratory signatures'. In the examined dataset, GSE10797, filtering out high-LEV genes did not compromise the discovery of biological processes that are constructed by differentially expressed genes. In conclusion, LEVs provide a new filtering parameter for microarray analysis of gene expression and it may improve the inter- and intralaboratory comparability of Affymetrix GeneChips data.

Original languageEnglish
Article numbere61
JournalNucleic Acids Research
Volume37
Issue number8
DOIs
StatePublished - 2009

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