EuroDia: a beta-cell gene expression resource.

Détails

Ressource 1Télécharger: BIB_0D9E4ED81B05.P001.pdf (375.91 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_0D9E4ED81B05
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
EuroDia: a beta-cell gene expression resource.
Périodique
Database
Auteur(s)
Liechti R., Csárdi G., Bergmann S., Schütz F., Sengstag T., Boj S.F., Servitja J.M., Ferrer J., Van Lommel L., Schuit F., Klinger S., Thorens B., Naamane N., Eizirik D.L., Marselli L., Bugliani M., Marchetti P., Lucas S., Holm C., Jongeneel C.V., Xenarios I.
ISSN
1758-0463[electronic]
Statut éditorial
Publié
Date de publication
2010
Volume
2010
Pages
baq024
Langue
anglais
Résumé
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.
Mots-clé
Animals, Data Mining, Databases, Genetic, Diabetes Mellitus, Type 2/genetics, Diabetes Mellitus, Type 2/metabolism, Gene Expression Profiling/statistics & numerical data, Humans, Information Storage and Retrieval, Insulin-Secreting Cells/metabolism, Internet, Mice, Rats, Software, User-Computer Interface
Pubmed
Open Access
Oui
Création de la notice
11/03/2011 12:26
Dernière modification de la notice
20/08/2019 12:34
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