Cargando…
Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues
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 hum...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2592717/ https://www.ncbi.nlm.nih.gov/pubmed/18803840 http://dx.doi.org/10.1186/gb-2008-9-9-r139 |
_version_ | 1782161564448587776 |
---|---|
author | Kilpinen, Sami Autio, Reija Ojala, Kalle Iljin, Kristiina Bucher, Elmar Sara, Henri Pisto, Tommi Saarela, Matti Skotheim, Rolf I Björkman, Mari Mpindi, John-Patrick Haapa-Paananen, Saija Vainio, Paula Edgren, Henrik Wolf, Maija Astola, Jaakko Nees, Matthias Hautaniemi, Sampsa Kallioniemi, Olli |
author_facet | Kilpinen, Sami Autio, Reija Ojala, Kalle Iljin, Kristiina Bucher, Elmar Sara, Henri Pisto, Tommi Saarela, Matti Skotheim, Rolf I Björkman, Mari Mpindi, John-Patrick Haapa-Paananen, Saija Vainio, Paula Edgren, Henrik Wolf, Maija Astola, Jaakko Nees, Matthias Hautaniemi, Sampsa Kallioniemi, Olli |
author_sort | Kilpinen, Sami |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2592717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25927172008-12-03 Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues Kilpinen, Sami Autio, Reija Ojala, Kalle Iljin, Kristiina Bucher, Elmar Sara, Henri Pisto, Tommi Saarela, Matti Skotheim, Rolf I Björkman, Mari Mpindi, John-Patrick Haapa-Paananen, Saija Vainio, Paula Edgren, Henrik Wolf, Maija Astola, Jaakko Nees, Matthias Hautaniemi, Sampsa Kallioniemi, Olli Genome Biol Method 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. BioMed Central 2008 2008-09-19 /pmc/articles/PMC2592717/ /pubmed/18803840 http://dx.doi.org/10.1186/gb-2008-9-9-r139 Text en Copyright © 2008 Kilpinen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Kilpinen, Sami Autio, Reija Ojala, Kalle Iljin, Kristiina Bucher, Elmar Sara, Henri Pisto, Tommi Saarela, Matti Skotheim, Rolf I Björkman, Mari Mpindi, John-Patrick Haapa-Paananen, Saija Vainio, Paula Edgren, Henrik Wolf, Maija Astola, Jaakko Nees, Matthias Hautaniemi, Sampsa Kallioniemi, Olli Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
title | Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
title_full | Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
title_fullStr | Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
title_full_unstemmed | Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
title_short | Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
title_sort | systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2592717/ https://www.ncbi.nlm.nih.gov/pubmed/18803840 http://dx.doi.org/10.1186/gb-2008-9-9-r139 |
work_keys_str_mv | AT kilpinensami systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT autioreija systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT ojalakalle systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT iljinkristiina systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT bucherelmar systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT sarahenri systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT pistotommi systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT saarelamatti systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT skotheimrolfi systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT bjorkmanmari systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT mpindijohnpatrick systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT haapapaananensaija systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT vainiopaula systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT edgrenhenrik systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT wolfmaija systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT astolajaakko systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT neesmatthias systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT hautaniemisampsa systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues AT kallioniemiolli systematicbioinformaticanalysisofexpressionlevelsof17330humangenesacross9783samplesfrom175typesofhealthyandpathologicaltissues |