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EuroDia: a beta-cell gene expression resource
Type 2 diabetes mellitus (T2DM) is a major disease affecting nearly 280 million people worldwide. Whilst the pathophysiological mechanisms leading to disease are poorly understood, dysfunction of the insulin-producing pancreatic beta-cells is key event for disease development. Monitoring the gene ex...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2963318/ https://www.ncbi.nlm.nih.gov/pubmed/20940178 http://dx.doi.org/10.1093/database/baq024 |
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author | Liechti, Robin Csárdi, Gábor Bergmann, Sven Schütz, Frédéric Sengstag, Thierry Boj, Sylvia F. Servitja, Joan-Marc Ferrer, Jorge Van Lommel, Leentje Schuit, Frans Klinger, Sonia Thorens, Bernard Naamane, Najib Eizirik, Decio L. Marselli, Lorella Bugliani, Marco Marchetti, Piero Lucas, Stephanie Holm, Cecilia Jongeneel, C. Victor Xenarios, Ioannis |
author_facet | Liechti, Robin Csárdi, Gábor Bergmann, Sven Schütz, Frédéric Sengstag, Thierry Boj, Sylvia F. Servitja, Joan-Marc Ferrer, Jorge Van Lommel, Leentje Schuit, Frans Klinger, Sonia Thorens, Bernard Naamane, Najib Eizirik, Decio L. Marselli, Lorella Bugliani, Marco Marchetti, Piero Lucas, Stephanie Holm, Cecilia Jongeneel, C. Victor Xenarios, Ioannis |
author_sort | Liechti, Robin |
collection | PubMed |
description | Type 2 diabetes mellitus (T2DM) is a major disease affecting nearly 280 million people worldwide. Whilst the pathophysiological mechanisms leading to disease are poorly understood, dysfunction of the insulin-producing pancreatic beta-cells is key event for disease development. Monitoring the gene expression profiles of pancreatic beta-cells under several genetic or chemical perturbations has shed light on genes and pathways involved in T2DM. The EuroDia database has been established to build a unique collection of gene expression measurements performed on beta-cells of three organisms, namely human, mouse and rat. The Gene Expression Data Analysis Interface (GEDAI) has been developed to support this database. The quality of each dataset is assessed by a series of quality control procedures to detect putative hybridization outliers. The system integrates a web interface to several standard analysis functions from R/Bioconductor to identify differentially expressed genes and pathways. It also allows the combination of multiple experiments performed on different array platforms of the same technology. The design of this system enables each user to rapidly design a custom analysis pipeline and thus produce their own list of genes and pathways. Raw and normalized data can be downloaded for each experiment. The flexible engine of this database (GEDAI) is currently used to handle gene expression data from several laboratory-run projects dealing with different organisms and platforms. Database URL: http://eurodia.vital-it.ch |
format | Text |
id | pubmed-2963318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29633182010-10-25 EuroDia: a beta-cell gene expression resource Liechti, Robin Csárdi, Gábor Bergmann, Sven Schütz, Frédéric Sengstag, Thierry Boj, Sylvia F. Servitja, Joan-Marc Ferrer, Jorge Van Lommel, Leentje Schuit, Frans Klinger, Sonia Thorens, Bernard Naamane, Najib Eizirik, Decio L. Marselli, Lorella Bugliani, Marco Marchetti, Piero Lucas, Stephanie Holm, Cecilia Jongeneel, C. Victor Xenarios, Ioannis Database (Oxford) Original Article Type 2 diabetes mellitus (T2DM) is a major disease affecting nearly 280 million people worldwide. Whilst the pathophysiological mechanisms leading to disease are poorly understood, dysfunction of the insulin-producing pancreatic beta-cells is key event for disease development. Monitoring the gene expression profiles of pancreatic beta-cells under several genetic or chemical perturbations has shed light on genes and pathways involved in T2DM. The EuroDia database has been established to build a unique collection of gene expression measurements performed on beta-cells of three organisms, namely human, mouse and rat. The Gene Expression Data Analysis Interface (GEDAI) has been developed to support this database. The quality of each dataset is assessed by a series of quality control procedures to detect putative hybridization outliers. The system integrates a web interface to several standard analysis functions from R/Bioconductor to identify differentially expressed genes and pathways. It also allows the combination of multiple experiments performed on different array platforms of the same technology. The design of this system enables each user to rapidly design a custom analysis pipeline and thus produce their own list of genes and pathways. Raw and normalized data can be downloaded for each experiment. The flexible engine of this database (GEDAI) is currently used to handle gene expression data from several laboratory-run projects dealing with different organisms and platforms. Database URL: http://eurodia.vital-it.ch Oxford University Press 2010-10-12 /pmc/articles/PMC2963318/ /pubmed/20940178 http://dx.doi.org/10.1093/database/baq024 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Liechti, Robin Csárdi, Gábor Bergmann, Sven Schütz, Frédéric Sengstag, Thierry Boj, Sylvia F. Servitja, Joan-Marc Ferrer, Jorge Van Lommel, Leentje Schuit, Frans Klinger, Sonia Thorens, Bernard Naamane, Najib Eizirik, Decio L. Marselli, Lorella Bugliani, Marco Marchetti, Piero Lucas, Stephanie Holm, Cecilia Jongeneel, C. Victor Xenarios, Ioannis EuroDia: a beta-cell gene expression resource |
title | EuroDia: a beta-cell gene expression resource |
title_full | EuroDia: a beta-cell gene expression resource |
title_fullStr | EuroDia: a beta-cell gene expression resource |
title_full_unstemmed | EuroDia: a beta-cell gene expression resource |
title_short | EuroDia: a beta-cell gene expression resource |
title_sort | eurodia: a beta-cell gene expression resource |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2963318/ https://www.ncbi.nlm.nih.gov/pubmed/20940178 http://dx.doi.org/10.1093/database/baq024 |
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