EuroDia: a beta-cell gene expression resource.

Details

Ressource 1Download: BIB_0D9E4ED81B05.P001.pdf (375.91 [Ko])
State: Public
Version: author
Serval ID
serval:BIB_0D9E4ED81B05
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
EuroDia: a beta-cell gene expression resource.
Journal
Database
Author(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]
Publication state
Published
Issued date
2010
Volume
2010
Pages
baq024
Language
english
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.
Keywords
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
Yes
Create date
11/03/2011 12:26
Last modification date
20/08/2019 12:34
Usage data