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Comparing cDNA and oligonucleotide array data: concordance of gene expression across platforms for the NCI-60 cancer cells

Jae K Lee1,3 email, Kimberly J Bussey1, Fuad G Gwadry1, William Reinhold1, Gregory Riddick3, Sandra L Pelletier3, Satoshi Nishizuka1, Gergely Szakacs2, Jean-Phillipe Annereau2, Uma Shankavaram1, Samir Lababidi1, Lawrence H Smith1, Michael M Gottesman2 and John N Weinstein1 email

Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-8322, USA

Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-8322, USA

Current address: Department of Health Evaluation Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA

author email corresponding author email

Genome Biology 2003, 4:R82doi:10.1186/gb-2003-4-12-r82

Published: 25 November 2003

Subject areas: Genetics, Genome studies, Cancer, Methods, Bioinformatics

Abstract

Microarray gene-expression profiles are generally validated one gene at a time by real-time RT-PCR. We describe here a different approach based on simultaneous mutual validation of large numbers of genes using two different expression-profiling platforms. The result described here for the NCI-60 cancer cell lines is a consensus set of genes that give similar profiles on spotted cDNA arrays and Affymetrix oligonucleotide chips. Global concordance is parameterized by a 'correlation of correlations' coefficient.


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