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Nucleic Acids Research 2005 33(Database Issue):D544-D549; doi:10.1093/nar/gki095
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Nucleic Acids Research, 2005, Vol. 33, Database issue D544-D549
© 2005, the authors
Nucleic Acids Research, Vol. 33, Database issue © Oxford University Press 2005; all rights reserved

T1DBase, a community web-based resource for type 1 diabetes research

Luc J. Smink*, Erin M. Helton1, Barry C. Healy, Christopher C. Cavnor1, Alex C. Lam, Daisy Flamez2, Oliver S. Burren, Yang Wang1, Geoffrey E. Dolman, David B. Burdick1, Vincent H. Everett, Gustavo Glusman1, Davide Laneri, Lee Rowen1, Helen Schuilenburg, Neil M. Walker, Josyf Mychaleckyj3, Linda S. Wicker, Decio L. Eizirik2, John A. Todd and Nathan Goodman1,*

Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Cambridge Institute for Medical Research, University of Cambridge, Wellcome Trust/MRC Building, Cambridge CB2 2XY, UK, 1 Institute for Systems Biology, Seattle, WA 98103, USA, 2 Laboratory of Experimental Medicine, Free University of Brussels (ULB), Brussels, Belgium and 3 Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA

* To whom correspondence should be addressed. Tel: +44 1223 763211; Fax: +44 1223 762102; Email: Luc.Smink{at}cimr.cam.ac.uk
Correspondence may also be addressed to Nathan Goodman. Tel: +1 206 331 0077; Fax: +1 206 732 1299; Email: natg{at}shore.net

Received August 20, 2004; Revised and Accepted October 12, 2004

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 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 linkage and 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 biological 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 are open access and all software is open source.

The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use permissions, please contact journals.permissions{at}oupjournals.org.


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