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EPConDB: a web resource for gene expression related to pancreatic development, beta-cell function and diabetes
Joan M Mazzarelli1, John Brestelli, Regina K Gorski
1Department of Genetics, School of Medicine, Center for Bioinformatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Nucleic Acids Research
|October 31, 2006
Summary
EPConDB is a public website offering gene expression data for pancreatic cells to aid research in diabetes and beta-cell function. It provides comprehensive gene profiles, regulatory elements, and analysis tools for exploring pancreatic biology.
Area of Science:
- Molecular Biology
- Genomics
- Endocrinology
Background:
- Diabetes and pancreatic beta-cell function are critical research areas.
- Understanding gene expression in pancreatic cells is essential for studying these conditions.
- Existing resources may lack integrated data on gene expression and transcriptional regulation in the pancreas.
Purpose of the Study:
- To establish EPConDB, a public web resource for pancreatic gene expression data.
- To support research in diabetes, pancreatic development, and beta-cell function.
- To provide integrated information on gene expression, transcripts, promoter elements, and transcription factor binding sites.
Main Methods:
- Compiled gene expression datasets from various studies including tissue expression, pancreatic development, beta-cell differentiation, and injury.
- Utilized diverse expression profiling techniques such as microarrays (BCBC PancChips, Affymetrix), semi-quantitative RT-PCR, and MPSS.
- Integrated data on transcripts, promoter elements, and transcription factor binding sites.
- Applied PaGE analysis to identify differentially expressed genes for selected microarray studies.
Main Results:
- EPConDB provides access to gene expression profiles for individual genes in pancreatic cells.
- The database includes information on transcripts, promoter elements, and transcription factor binding sites.
- Expression data is derived from multiple platforms and experimental contexts relevant to pancreatic research.
- Lists of differentially expressed genes from PaGE analysis are available for selected studies.
Conclusions:
- EPConDB serves as a valuable public resource for researchers studying the pancreas, diabetes, and beta-cell function.
- The integrated database facilitates the examination of relationships between genes, their regulation, and expression in pancreatic tissues.
- This resource supports advancements in understanding pancreatic development and disease mechanisms.
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