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Database Commons - EuroDia

EuroDia

Citations: 9

z-index 0.00

Short name EuroDia
Full name EuroDia MicroArray Database
Description 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.
URL https://eurodia.vital-it.ch/
Year founded 2010
Last update & version NA    V 1.0
Availability Free to all users
University/Institution hosted Swiss Institute of Bioinformatics
Address Genopode Building, CH-1015 Lausanne, Switzerland
City Lausanne
Province/State
Country/Region Switzerland
Contact name Ioannis Xenarios
Contact email eurodia@isb-sib.ch
Data type(s)
Major organism(s)
Keyword(s)
  • beta-cell
  • Type 2 diabetes mellitus (T2DM)
Publication(s)
  • EuroDia: a beta-cell gene expression resource. [PMID: 20940178]

    Robin Liechti, Gábor Csárdi, Sven Bergmann, Frédéric Schütz, Thierry Sengstag, Sylvia F Boj, Joan-Marc Servitja, Jorge Ferrer, Leentje Van Lommel, Frans Schuit, Sonia Klinger, Bernard Thorens, Najib Naamane, Decio L Eizirik, Lorella Marselli, Marco Bugliani, Piero Marchetti, Stephanie Lucas, Cecilia Holm, C Victor Jongeneel, Ioannis Xenarios
    Database : the journal of biological databases and curation 2010:2010
    9 Citations (Google Scholar as of 2016-01-14)

    Abstract: 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.

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Tags

Disease Expression
Homo sapiens Mus musculus Rattus norvegicus
beta-cell Type 2 diabetes mellitus (T2DM)

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Lina Ma [2016-04-13]
    • Jian Sang [2016-04-05]
    • Mengwei Li [2016-02-21]
    • Mengwei Li [2016-02-20]
    • Jian Sang [2015-06-27]
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