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Cite this ( Beta Cell Biology Consortium , RRID:SCR_005136)


Resource Type: Resource, organization portal, resource, organism supplier, antibody supplier, database, biomaterial supply resource, biospecimen repository, experimental protocol, consortium, narrative resource, material resource, service resource, portal, storage service resource, cell repository, reagent supplier, data repository, material storage repository, data or information resource

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 1, 2015. Consortium that aims to facilitate interdisciplinary collaborations to advance the understanding of pancreatic islet development and function, with the goal of developing innovative therapies to correct the loss of beta cell mass in diabetes, including cell reprogramming, regeneration and replacement. They are responsible for collaboratively generating the necessary reagents, mouse strains, antibodies, assays, protocols, technologies and validation assays that are beyond the scope of any single research effort. The scientific goals for the BCBC are to: * Use cues from pancreatic development to directly differentiate pancreatic beta cells and islets from stem / progenitor cells for use in cell-replacement therapies for diabetes, * Determine how to stimulate beta cell regeneration in the adult pancreas as a basis for improving beta cell mass in diabetic patients, * Determine how to reprogram progenitor / adult cells into pancreatic beta-cells both in-vitro and in-vivo as a mean for developing cell-replacement therapies for diabetes, and * Investigate the progression of human type-1 diabetes using patient-derived cells and tissues transplanted in humanized mouse models. Many of the BCBC investigator-initiated projects involve reagent-generating activities that will benefit the larger scientific community. The combination of programs and activities should accelerate the pace of major new discoveries and progress within the field of beta cell biology.

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Cite this (Drug Related Gene Database, RRID:SCR_003330)


Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Gene expression data from published journal articles that test hypotheses relevant to the neuroscience of addiction and addictive behavior. Data types include the effects of a particular drug, strain, or knock out on a particular gene, in a particular anatomical region. "Export" (Data Federation) for a fuller description of the methods, drug paradigm and the experimental values. Data submissions are welcome, Funded by an ARRA supplement from the National Institute of Drug Abuse (NIDA), the DRG database was created to facilitate discovery and use of resources relevant to drug abuse research. The database and associated tools were specifically created for providing data that is contained in tables, figures and supplementary materials from published papers in a way that facilitates search across the results of these studies. The current database mainly focuses on gene expression data and exposes data from investigations using DNA microarrays, polymerase chain reaction, immunohistochemistry and in-situ hybridizations. Once loaded, these data are available for query through the NIF interface. During this process, the content is standardized using a generic high level description of a relevant study and map terms to ontologies available through the NIF project (NIFSTD) to enhance semantic search of such data.

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Cite this ( Nuclear Receptor Signaling Atlas , RRID:SCR_003287)


Resource Type: Resource, database, service resource, storage service resource, atlas, knowledge environment, data repository, material resource, reagent supplier, data or information resource

Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.

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Cite this (WormBase, RRID:SCR_003098)


Resource Type: Resource, catalog, data or information resource, database

A central data repository for nematode biology including the complete genomic sequence, gene predictions and orthology assignments from a range of related nematodes. Derived from the initial ACeDB database of C. elegans genetic and sequence information, WormBase includes the genomic, anatomical and functional information of C. elegans, other Caenorhabditis species and other nematodes. WormBase maintains a public FTP site where researchers can find many commonly requested files and datasets, the WormBase software and prepackaged databases.

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Cite this (Zebra Model Organism Database (ZFIN), RRID:SCR_002560)


Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

ZFIN is a Model Organism Database that serves as the central repository and web-based resource for zebrafish genetic, genomic, phenotypic and developmental data. Data represented are derived from three primary sources: curation of zebrafish publications, individual research laboratories and collaborations with bioinformatics organizations. Data formats include text, images and graphical representations. A wide-ranging collection of web-based search forms and tools facilitates access to integrated views of these data promoting analysis and scientific discovery. ZFIN includes (i) access to images with associated curated data, (ii) gene expression and phenotype data, (iii) zebrafish models of human diseases, (iv) genomic features and molecular details, (v) a genome browser, (vi) transcripts, (vii) antibodies and (viii) a community wiki for protocols and antibodies. ZFIN welcomes direct data submissions. If you would like to make your unpublished expression or phenotype data available to the community, you can submit this data to ZFIN using Phenote program or contact for additional options and support. Additionally, data is downloadable as text files and available in the data mining platform zebrafishmine (

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