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T1DBase - Type 1 Diabetes Database


NAR Molecular Biology Database Collection entry number 632
L.J. Smink1, E.M. Helton2, B.C. Healy1, C.C. Cavnor2, A.C. Lam1, D. Flamez3, O.S. Burren1, Y. Wang2, G.E. Dolman1, D.B. Burdick2, V.H. Everett1, G. Glusman2, D. Laneri1, L. Rowen2, H. Schuilenburg1, N.M. Walker1, J. Mychaleckyj4, L.S. Wicker1, D.L. Eizirik3, J.A. Todd1 and N. Goodman2
1University of Cambridge, Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Cambridge, United Kingdom
2Institute for Systems Biology, Seattle, WA, USA
3Free University of Brussels (ULB), Laboratory for Experimental Medicine, Brussels, Belgium
4Wake Forest University School of Medicine, Center for Human Genomics, Winston-Salem, NC, USA

Database Description

T1DBase (http://t1dbase.org/) is a public website and database that supports the type 1 diabetes (T1D) research community. The site is currently focused on the molecular genetics and molecular biology of T1D susceptibility and pathogenesis. It includes the following datasets: annotated genome sequence for human, rat and mouse; information on genetically identified T1D susceptibility regions in human, rat and mouse, and genetic association studies pertaining to T1D; descriptions of NOD mouse congenic strains; the Beta Cell Gene Expression Bank which reports expression levels of genes in beta cells under various conditions, and annotations of gene function in beta cells; data on gene expression in a variety of tissues and organs; and pathways from KEGG and BioCarta. Tools on the site include the GBrowse genome browser, site-wide context dependent search, Connect-the-Dots for connecting gene and other identifiers from multiple data sources, Cytoscape for visualizing and analyzing biological networks, and the GESTALT workbench for genome annotation. All data is open access and all software is open source.

Acknowledgements

We gratefully acknowledge the support of our funding bodies: the Juvenile Diabetes Research Foundation and the Wellcome Trust. We thank Lee Hood for his thoughtful guidance.


Go to the abstract in the NAR 2007 Database Issue.
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