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Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues

Sami Kilpinen12, Reija Autio3, Kalle Ojala12, Kristiina Iljin1, Elmar Bucher1, Henri Sara1, Tommi Pisto1, Matti Saarela3, Rolf I Skotheim14, Mari Björkman1, John-Patrick Mpindi1, Saija Haapa-Paananen1, Paula Vainio1, Henrik Edgren12, Maija Wolf12, Jaakko Astola3, Matthias Nees1, Sampsa Hautaniemi5 and Olli Kallioniemi12*

Author affiliations

1 Medical Biotechnology, VTT Technical Research Centre and University of Turku, Itäinen pitkäkatu 4C, Turku, Finland

2 Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Tukholmankatu 8, Helsinki, Finland

3 Department of Signal Processing, Tampere University of Technology, Korkeakoulunkatu 1, Tampere, Finland

4 Department of Cancer Prevention, Institute for Cancer Research, Rikshospitalet-Radiumhospitalet Medical Centre, Oslo, NO-0310, Norway

5 Computational Systems Biology Laboratory, Institute of Biomedicine and Genome-Scale Biology Research Program, University of Helsinki, Haartmaninkatu 8, Finland

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Citation and License

Genome Biology 2008, 9:R139  doi:10.1186/gb-2008-9-9-r139

Published: 19 September 2008

Abstract

Our knowledge on tissue- and disease-specific functions of human genes is rather limited and highly context-specific. Here, we have developed a method for the comparison of mRNA expression levels of most human genes across 9,783 Affymetrix gene expression array experiments representing 43 normal human tissue types, 68 cancer types, and 64 other diseases. This database of gene expression patterns in normal human tissues and pathological conditions covers 113 million datapoints and is available from the GeneSapiens website.