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Nucleic Acids Research Advance Access published online on October 27, 2006
Nucleic Acids Research, doi:10.1093/nar/gkl748
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© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Paper

EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes

Joan M. Mazzarelli*, John Brestelli, Regina K. Gorski, Junmin Liu, Elisabetta Manduchi, Deborah F. Pinney, Jonathan Schug, Peter White, Klaus H. Kaestner and Christian J. Stoeckert, Jr

Department of Genetics, School of Medicine, Center for Bioinformatics, University of Pennsylvania Philadelphia, PA 19104, USA

*To whom correspondence should be addressed. Tel: +1 610 521 1738; Fax: +1 215 573 3111; Email: mazz{at}pcbi.upenn.edu

Received August 9, 2006. Accepted September 22, 2006.

EPConDB (http://www.cbil.upenn.edu/EPConDB ) is a public web site that supports research in diabetes, pancreatic development and beta-cell function by providing information about genes expressed in cells of the pancreas. EPConDB displays expression profiles for individual genes and information about transcripts, promoter elements and transcription factor binding sites. Gene expression results are obtained from studies examining tissue expression, pancreatic development and growth, differentiation of insulin-producing cells, islet or beta-cell injury, and genetic models of impaired beta-cell function. The expression datasets are derived using different microarray platforms, including the BCBC PancChips and Affymetrix gene expression arrays. Other datasets include semi-quantitative RT–PCR and MPSS expression studies. For selected microarray studies, lists of differentially expressed genes, derived from PaGE analysis, are displayed on the site. EPConDB provides database queries and tools to examine the relationship between a gene, its transcriptional regulation, protein function and expression in pancreatic tissues.


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