Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
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Authors: | Sami Kilpinen Reija Autio Kalle Ojala Kristiina Iljin Elmar Bucher Henri Sara Tommi Pisto Matti Saarela Rolf I Skotheim Mari Björkman John-Patrick Mpindi Saija Haapa-Paananen Paula Vainio Henrik Edgren Maija Wolf Jaakko Astola Matthias Nees Sampsa Hautaniemi Olli Kallioniemi |
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Institution: | Sami Kilpinen, Reija Autio, Kalle Ojala, Kristiina Iljin, Elmar Bucher, Henri Sara, Tommi Pisto, Matti Saarela, Rolf I Skotheim, Mari Björkman, John-Patrick Mpindi, Saija Haapa-Paananen, Paula Vainio, Henrik Edgren, Maija Wolf, Jaakko Astola, Matthias Nees, Sampsa Hautaniemi, and Olli Kallioniemi |
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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. |
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