Exploring the foundation of genomics: a Northern blot reference set for the comparative analysis of transcript profiling technologies
In this paper we aim to create a reference data collection of Northern blot results and demonstrate how such a collection can enable a quantitative comparison of modern expression profiling techniques, a central component of functional genomics studies. Historically, Northern blots were the de facto standard for determining RNA transcript levels. However, driven by the demand for analysis of large sets of genes in parallel, high‐throughput methods, such as microarrays, dominate modern profiling efforts. To facilitate assessment of these methods, in comparison to Northern blots, we created a database of published Northern results obtained with a standardized commercial multiple tissue blot (dbMTN). In order to demonstrate the utility of the dbMTN collection for technology comparison, we also generated expression profiles for genes across a set of human tissues, using multiple profiling techniques. No method produced profiles that were strongly correlated with the Northern blot data. The highest correlations to the Northern blot data were determined with microarrays for the subset of genes observed to be specifically expressed in a single tissue in the Northern analyses. The database and expression profiling data are available via the project website (http://www.cisreg.ca). We believe that emphasis on multi‐technique validation of expression profiles is justified, as the correlation results between platforms are not encouraging on the whole. Supplementary material for this article can be found at: http://www.interscience.wiley.com/jpages/1531‐6912/suppmat Copyright © 2005 John Wiley & Sons, Ltd.
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Document Type: Research Article
Center for Genomics and Bioinformatics, Karolinska Institutet, Stockholm, Sweden
Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
CNS Genomics Unit, Pharmacia Corporation, 301 Henrietta Street, Kalamazoo, Michigan 49007, USA
Royal Institute of Technology, Department of Biotechnology, Division of Molecular Biotechnology, 106 91 Stockholm, Sweden
Bioinformatics Group, GlaxoSmithKline, King of Prussia, PA, USA
Publication date: 2004-12-01
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