Tools   Select Another Resource Report Type

http://www.type2diabetesgenetics.org/

Portal and database of DNA sequence, functional and epigenomic information, and clinical data from studies on type 2 diabetes and analytic tools to analyze these data. .Provides data and tools to promote understanding and treatment of type 2 diabetes and its complications. Used for identifying genetic biomarkers correlated to Type 2 diabetes and development of novel drugs for this disease.

Proper citation: Accelerating Medicines Partnership Type 2 Diabetes Knowledge Portal (AMP-T2D) (RRID:SCR_003743) Copy   

•   Source: SciCrunch Registry

http://www.cumc.columbia.edu/derc/

Research center which provides research support for investigators pursuing research on diabetes and metabolic disorders.

Proper citation: Columbia Diabetes Research Center (RRID:SCR_015075) Copy   

•   Source: SciCrunch Registry

http://cdmd.indiana.edu

Center that includes over seventy investigators engaged in basic and translational research in diabetes and related metabolic disorders, and their complications. It contains four Research Cores that serve for innovative and translational research.

Proper citation: Indiana Diabetes Research Center (RRID:SCR_015080) Copy   

•   Source: SciCrunch Registry

https://hirnetwork.org

Network helps to organize and support collaborative research related to loss of functional beta cell mass in Type 1 Diabetes (T1D). Project consists of four independent research initiatives: Consortium on Beta Cell Death and Survival (CBDS), Consortium on Human Islet Biomimetics (CHIB), Consortium on Modeling Autoimmune Interactions (CMAI), Consortium on Targeting and Regeneration (CTAR), and Human Pancreas Analysis Program (HPAP).

Proper citation: Human Islet Research Network (HIRN) (RRID:SCR_014393) Copy   

•   Source: SciCrunch Registry

https://www.sanger.ac.uk/collaboration/sequencing-idd-regions-nod-mouse-genome/

Genetic variations associated with type 1 diabetes identified by sequencing regions of the non-obese diabetic (NOD) mouse genome and comparing them with the same areas of a diabetes-resistant C57BL/6J reference mouse allowing identification of single nucleotide polymorphisms (SNPs) or other genomic variations putatively associated with diabetes in mice. Finished clones from the targeted insulin-dependent diabetes (Idd) candidate regions are displayed in the NOD clone sequence section of the website, where they can be downloaded either as individual clone sequences or larger contigs that make up the accession golden path (AGP). All sequences are publicly available via the International Nucleotide Sequence Database Collaboration. Two NOD mouse BAC libraries were constructed and the BAC ends sequenced. Clones from the DIL NOD BAC library constructed by RIKEN Genomic Sciences Centre (Japan) in conjunction with the Diabetes and Inflammation Laboratory (DIL) (University of Cambridge) from the NOD/MrkTac mouse strain are designated DIL. Clones from the CHORI-29 NOD BAC library constructed by Pieter de Jong (Children's Hospital, Oakland, California, USA) from the NOD/ShiLtJ mouse strain are designated CHORI-29. All NOD mouse BAC end-sequences have been submitted to the International Nucleotide Sequence Database Consortium (INSDC), deposited in the NCBI trace archive. They have generated a clone map from these two libraries by mapping the BAC end-sequences to the latest assembly of the C57BL/6J mouse reference genome sequence. These BAC end-sequence alignments can then be visualized in the Ensembl mouse genome browser where the alignments of both NOD BAC libraries can be accessed through the Distributed Annotation System (DAS). The Mouse Genomes Project has used the Illumina platform to sequence the entire NOD/ShiLtJ genome and this should help to position unaligned BAC end-sequences to novel non-reference regions of the NOD genome. Further information about the BAC end-sequences, such as their alignment, variation data and Ensembl gene coverage, can be obtained from the NOD mouse ftp site.

Proper citation: Sequencing of Idd regions in the NOD mouse genome (RRID:SCR_001483) Copy   

•   Source: SciCrunch Registry

http://www.grc.nia.nih.gov/

A research program of the NIA which focuses on neuroscience, aging biology, and translational gerontology. The central focus of the program's research is understanding age-related changes in physiology and the ability to adapt to environmental stress, and using that understanding to develop insight about the pathophysiology of age-related diseases. The IRP webpage provides access to other NIH resources such as the Biological Biochemical Image Database, the Bioinformatics Portal, and the Baltimore Longitudinal Study of Aging., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Intramural Research Program (RRID:SCR_012734) Copy   

•   Source: SciCrunch Registry

https://www.cellhub.org/

Cell repository that aims to share cell samples for the scientific advancement of Type 1 Diabetes research. Cell lines can be requested from their cell bank inventory.

Proper citation: Helmsley Cellular Research Hub (RRID:SCR_015546) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000674.v1.p1

Human genetics data from an immense (78,000) and ethnically diverse population available for secondary analysis to qualified researchers through the database of Genotypes and Phenotypes (dbGaP). It offers the opportunity to identify potential genetic risks and influences on a broad range of health conditions, particularly those related to aging. The GERA cohort is part of the Research Program on Genes, Environment, and Health (RPGEH), which includes more than 430,000 adult members of the Kaiser Permanente Northern California system. Data from this larger cohort include electronic medical records, behavioral and demographic information from surveys, and saliva samples from 200,000 participants obtained with informed consent for genomic and other analyses. The RPGEH database was made possible largely through early support from the Robert Wood Johnson Foundation to accelerate such health research. The genetic information in the GERA cohort translates into more than 55 billion bits of genetic data. Using newly developed techniques, the researchers conducted genome-wide scans to rapidly identify single nucleotide polymorphisms (SNPs) in the genomes of the people in the GERA cohort. These data will form the basis of genome-wide association studies (GWAS) that can look at hundreds of thousands to millions of SNPs at the same time. The RPGEH then combined the genetic data with information derived from Kaiser Permanente''s comprehensive longitudinal electronic medical records, as well as extensive survey data on participants'' health habits and backgrounds, providing researchers with an unparalleled research resource. As information is added to the Kaiser-UCSF database, the dbGaP database will also be updated.

Proper citation: Resource for Genetic Epidemiology Research on Adult Health and Aging (RRID:SCR_010472) Copy   

•   Source: SciCrunch Registry

http://secrepedia.org

Encyclopedia of white and brown adipocyte secretome in mouse models and humans as key prerequisite to elucidating role of these mediators in normal physiology and disease.

Proper citation: Secrepedia (RRID:SCR_022590) Copy   

•   Source: SciCrunch Registry

https://www.mitochondriasci.com/mitochondria-related-diseases.html

Creative Biogene provides comprehensive range of services and products to assist researchers in mitochondrial assays and studies. Service to validate and explore pathogenesis of mitochondria associated diseases and possible interventions.

Proper citation: Creative Biogene Mitochondria Related Diseases (RRID:SCR_022080) Copy   

•   Source: SciCrunch Registry

http://faryabi05.med.upenn.edu:8050/

Portal for scRNA-seq study. Includes dendrogram visualization and clustering of all cells in scRNA-seq study as well as interactive filtered views for cell type, gene and/or donor group.

Proper citation: Mapping the pancreas and its ecosystem at the cellular level in health and type 1 diabetes (RRID:SCR_020952) Copy   

•   Source: SciCrunch Registry

https://t1d.hugeamp.org

Portal for providing data and tools to promote understanding and treatment of type 1 diabetes and its complications.Enables browsing, searching, and analysis of human genetic information linked to type 1 diabetes and related traits, while protecting integrity and confidentiality of underlying data.Represents effort to coordinate collection and deposition of genomic and epigenomic data related to type 1 diabetes and its complications.

Proper citation: Type 1 Diabetes Knowledge Portal (RRID:SCR_020936) Copy   

•   Source: SciCrunch Registry

https://professional.diabetes.org/content-page/covid-19

Web page created by American Diabetes Association. Contains resources and information about COVID-19 for diabetes professionals and patients. ADA also provides online forum, webinar series and podcast. Online forum to exchange questions, answers, and best practices with leading clinicians from diabetes community. All ADA members can contribute, and any interested health professional can read forum and responses.

Proper citation: American Diabetes Association COVID-19 Resources and Webinar Series (RRID:SCR_018346) Copy   

•   Source: SciCrunch Registry

http://www.diagram-consortium.org/

Consortium of researchers aiming to characterize the genetic basis of type 2 diabetes with a principal focus on samples of European descent. DIAGRAM also features a database of DIAGRAM publications and diabetes-related research data.

Proper citation: DIAGRAM (RRID:SCR_015675) Copy   

•   Source: SciCrunch Registry

http://www.perl-study.org

PERL is a clinical trial for people with type 1 diabetes who have early signs of kidney problems. Its goal is to test a new way to reduce loss of kidney function using a safe and inexpensive medicine.

Proper citation: Preventing Early Renal Loss in Diabetes (PERL) (RRID:SCR_015862) Copy   

•   Source: SciCrunch Registry

https://hirnetwork.org/coordinating_group/hirec

The Bioinformatics Center is located within the Department of Diabetes and Cancer Discovery Science at City of Hope and was established in 2014 to support the Human Islet Research Network (HIRN). The overall objective of the Bioinformatics Center is to advance type 1 diabetes knowledge generated through HIRN by providing the bioinformatics capability and infrastructure needed to support the Network. To achieve this goal, the Bioinformatics Center provides investigators with tools, processes, and methods to facilitate long term sharing, maintenance, and management of HIRN developed resources, including datasets, technologies, documents, and bioreagents. Collaboration and communication are cultivated through consultation and outreach activities. In 2019, HIRN received funding to continue HIRN Coordinating Center (CC) and Bioinformatics Center (BC) as Human Islet Research Enhancement Center (HIREC).

Proper citation: HIRN Bioinformatics Center (RRID:SCR_016203) Copy   

•   Source: SciCrunch Registry

https://www.pbcconsortium.org/

Portal to provide a repository for beta-cell data, to connect researchers from different backgrounds interested in contributing data, models and/or ideas for new insights into beta-cell biology. Used to understand beta-cell biology and diabetes through a cross-disciplinary approach for the assembly of spatiotemporal multi-scale whole cell models of human pancreatic beta-cells.

Proper citation: The Pancreatic Beta-Cell Consortium (RRID:SCR_016328) Copy   

•   Source: SciCrunch Registry

http://www.ohsu.edu/xd/health/services/brain/

A clinical care and research center for neurological conditions such as Alzheimer's, dementia and seizure disorders. It provides a dynamic setting for training healthcare professionals and neuroscience researchers to develop and implement evidence-based treatment.

Proper citation: OHSU Brain Institute (RRID:SCR_008932) Copy   

•   Source: SciCrunch Registry

https://joslinresearch.org

Diabetes research center which provides patient care and performs diabetes research. Its primary aim is to provide a facilitating framework for conducting multi-disciplinary basic and clinical research and to encourage the scientific development of young investigators.

Proper citation: Joslin Diabetes Center (RRID:SCR_009019) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/OGR

Ontology that is used with other ontologies to represent the genetic susceptibility factors of diabetes. This OWL ontology classified the geograhical regions related vocabularies extracted from UMLS.

Proper citation: Ontology of Geographical Region (RRID:SCR_010398) Copy   

•   Source: SciCrunch Registry