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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://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   

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https://diabetes.med.umich.edu/partners/michigan-center-diabetes-translational-research-mcdtr

Multidisciplinary unit of the University of Michigan funded by National Institute of Diabetes and Digestive and Kidney Diseases/National Institutes of Health. MCDTR is one of seven NIH Centers funded to focus on type 2 translational research in diabetes with mission to establish, promote, and enhance multidisciplinary collaboration among researchers directed at prevention and control of diabetes, its complications, and comorbidities, by providing access to specialized expertise and resources.

Proper citation: Michigan Center for Diabetes Translational Research (RRID:SCR_015187) Copy   

•   Source: SciCrunch Registry

http://diabetestranslation.org/en/

Research center for translation research on diabetes within the health care delivery systems affiliated with the HMO Research Network, University of California San Francisco, and the State of California. Their aims include improving health care disparities, diabetes and obesity prevention, and health information technology interventions.

Proper citation: Health Delivery Systems Center for Diabetes Translational Research (RRID:SCR_015160) Copy   

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https://labnodes.vanderbilt.edu/cdtr

Research center dedicated to providing services to investigators with externally funded, diabetes-related translational research in areas such as innovations in care, community engagement, and clinical trials.

Proper citation: Vanderbilt Center for Diabetes Translation Research (RRID:SCR_015172) Copy   

•   Source: SciCrunch Registry

http://www.uc.edu/labs/mmpc.html

Research center that provides metabolic and physiologic phenotyping services for mouse models of diabetes, diabetic complications, obesity and related disorders. It specializes in the immunological aspects of Type I diabetes, measurement of various glucose and lipid metabolism parameters relevant to Type II diabetes as well as diabetic complications such as heart disease and obesity.

Proper citation: MMPC-University of Cincinnati Medical Center (RRID:SCR_015367) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/mmpc

Research center whose mission is to advance research in the area of diabetes by providing experimental tools to the scientific community for phenotyping mouse transgenic models of diabetes and related disorders.

Proper citation: MMPC-Vanderbilt University School of Medicine (RRID:SCR_015374) 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   

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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://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.med.upenn.edu/idom/drc/cores/transmouse.html

Mouse core which generates transgenic and gene-targeted mouse lines for diabetes research.

Proper citation: Penn Diabetes Research Center Transgenic and Chimeric Mouse Core Facility (RRID:SCR_010036) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/community/profile/id/1133

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that provides training and expertise in nutrition/diet methodology to obtain valid and reliable assessment and analyses of dietary intakes, nutritional status, body composition and metabolism.

Proper citation: Vanderbilt Diabetes Research and Training Center Vanderbilt Diet Body Composition and Metabolism Core Facility (RRID:SCR_010191) Copy   

•   Source: SciCrunch Registry

http://www.broad.mit.edu/node/549

Genomic data set on Type 2 Diabetes in African-Americans derived via admixture mapping, a method for genome-wide association analysis based on admixture-generated linkage disequilibrium. This collaborative group has identified 1,478 African Americans with Type 2 Diabetes (T2D) from the Jackson Heart Study and Multiethnic Cohort Study, as well as 498 controls from the Jackson Heart Study who are normoglycemic despite high body mass index and older age. All samples were genotyped (using the Illumina BeadLab platform) for 1,291 polymorphic markers chosen to be extremely different in frequency between west Africans and European Americans. Evidence for association to diabetes at each marker as reported by the ANCESTRYMAP software are reported in the downloadable table. They calculate that this study has statistical power to detect loci where African or European ancestry on average confers multiplicative increased risk of 1.35-fold or more. The fact that they did not detect a statistically significant signal of association in the scan suggests that any genetic risk factors for T2D do not confer different risks due to ancestry that differ by this factor. The genome scan results are publicly available (Excel file) prior to publication so that researchers interested in the genetics of T2D can use the results of the scan to prioritize follow-up of any regions of interest.

Proper citation: A Whole Genome Admixture Scan for Type 2 Diabetes in African Americans (RRID:SCR_006984) Copy   

•   Source: SciCrunch Registry

http://www.med.upenn.edu/idom/drc/cores/cellbio.html

Core that gives support including experimental design, islet isolation, and performance of and training in an expansive range of assays for physiological and morphometric assessment of pancreatic islet function and growth. It contributes to the basic and translational research activities of the Institute of Diabetes, Obesity and Metabolism (IDOM) at the Perelman School of Medicine of the University of Pennsylvania. Its services include perform individual islet and single cell fluorescence imaging, respirometry with islet batches using a Seahorse Extracellular Flux Analyzer, perifusion coupled with respirometry, and closed respirometry experiments for our investigators.

Proper citation: University of Pennsylvania School of Medicine Penn Diabetes Research Center Pancreatic Islet Cell Biology Core Facility (RRID:SCR_008265) Copy   

•   Source: SciCrunch Registry

http://harvard.eagle-i.net/i/0000012e-5e87-861a-55da-381e80000000

Core for data driven projects related to basic, clinical and translational research, with a particular emphasis on diabetes. Aims to ensure that researchers take advantage of the most modern and robust methods available in the field of Bioinformatics and Biostatistics.

Proper citation: Harvard Bioinformatics Core at Joslin Diabetes Center (RRID:SCR_009827) Copy   

•   Source: SciCrunch Registry

http://clinicaltrials.gov/show/NCT00143949

Randomized, multicenter, double-blind study to determine if renin angiotensin medications, either losartan (angiotensin II blocker) or enalapril (converting enzyme inhibitor), can prevent or delay the onset of diabetic kidney disease in patients with type 1 diabetic patients who do not have hypertension, diabetic nephropathy, or predictive levels of microalbuminuria. Two hundred eight five patients ages 16-61 with 2-20 yrs of Type 1 Diabetes Mellitus and no renal functional abnormalities were randomized into a parallel, double-blind, placebo-controlled study involving 3 groups (95 patients/group). Each group received an angiotensin-converting enzyme inhibitor (ACEI) (enalapril), or an angiotensin II receptor blocker (Losartan), or placebo. All patients had their usual Diabetes Mellitus (DM) management. Baseline studies included measures of glomerular filtration rate (GFR), urinary albumin excretion rate (UAE), blood pressure (BP), and a percutaneous renal biopsy. Patients were followed by quarterly measures of BP, HbA1C, UAE, and drug compliance. There were annual measures of GFR and a repeat renal biopsy after 5 yrs in the study. The main endpoint is kidney structural changes over time, especially mesangial fractional volume (v(Mes/glom)). Secondary endpoints will be other DN structural measures and measures of kidney function (UAE, GFR). These studies will determine whether rennin angiotensin system blockage in the early stages of DN can prevent the early kidney structural changes in this important disorder. Ancillary studies will evaluate the effects of treatment group on the development and progression of diabetic retinopathy and will develop predictors of study participants'''' compliance. Baseline, 2.5 and 5 year retinal fundus photographs in the RASS patients were obtained.

Proper citation: Renin Angiotensin System Study (RRID:SCR_013385) Copy   

•   Source: SciCrunch Registry

http://www.ukbiobank.ac.uk/

Biobank provides data collected at Assessment Center and via online questionnaires on participants aged 40-69 years recruited throughout United Kingdom and provides summary information to improve prevention, diagnosis and treatment of serious and life threatening illnesses.

Proper citation: UK Biobank (RRID:SCR_012815) Copy   

•   Source: SciCrunch Registry

https://einsteinmed.edu/research/shared-facilities/barc/

Core provides information and tools for Einstein and Montefiore investigators from initial study planning stage through analysis and data output. Facility services include: mass spectrometry analysis, including stable isotopes, as well as research-grade determination of lipids, and metabolic markers for human subjects and animal model projects; High-throughput robotics for semi-automated high-quality sample preparation and analysis by immunoassay and liquid chromatography–mass spectrometry (LC/MS); Support for novel developmental projects featuring applications of LC/MS and two-site bead-based assays; Research quality analysis of metabolites for human and animal samples using Olympus AU400 autoanalyzer; Advanced training in analytical chemistry.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Biomarker Analytic Research Core Facility (RRID:SCR_015067) Copy   

•   Source: SciCrunch Registry