ArticleExperimental diabetes research2008
GeneSpeed Beta Cell: an online genomics data repository and analysis resource tailored for the islet cell biologist.
Article in Experimental diabetes research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- From pancreas and islet resources to diabetes insights.Diabetologia · 2026Review
- The pancreatic β-cell transcriptome and integrated-omics.Current opinion in endocrinology, diabetes, and obesity · 2014Review
- Hetero-bivalent GLP-1/glibenclamide for targeting pancreatic β-cells.Chembiochem : a European journal of chemical biology · 2014Article
- Synergizing genomic analysis with biological knowledge to identify and validate novel genes in pancreatic development.Pancreas · 2012Article
- Sox6 is necessary for efficient erythropoiesis in adult mice under physiological and anemia-induced stress conditions.PloS one · 2010Article
- In vivo beta-cell imaging with VMAT 2 ligands--current state-of-the-art and future perspective.Current pharmaceutical design · 2010Review
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Authors and funding
8 authors.
Funding
Abstract
objectiveWe here describe the development of a freely available online database resource, GeneSpeed Beta Cell, which has been created for the pancreatic islet and pancreatic developmental biology investigator community. RESEARCH DESIGN AND
methodsWe have developed GeneSpeed Beta Cell as a separate component of the GeneSpeed database, providing a genomics-type data repository of pancreas and islet-relevant datasets interlinked with the domain-oriented GeneSpeed database.
resultsGeneSpeed Beta Cell allows the query of multiple published and unpublished select genomics datasets in a simultaneous fashion (multiexperiment viewing) and is capable of defining intersection results from precomputed analysis of such datasets (multidimensional querying). Combined with the protein-domain categorization/assembly toolbox provided by the GeneSpeed database, the user is able to define spatial expression constraints of select gene lists in a relatively rigid fashion within the pancreatic expression space. We provide several demonstration case studies of relevance to islet cell biology and development of the pancreas that provide novel insight into islet biology.
conclusionsThe combination of an exhaustive domain-based compilation of the transcriptome with gene array data of interest to the islet biologist affords novel methods for multidimensional querying between individual datasets in a rapid fashion, presently not available elsewhere.
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