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http://www.immunetolerance.org/

International clinical research consortium dedicated to the clinical evaluation of novel tolerogenic approaches for the treatment of autoimmune diseases, asthma and allergic diseases, and the prevention of graft rejection. They aim to advance the clinical application of immune tolerance by performing high quality clinical trials of emerging therapeutics integrated with mechanism-based research. In particular, they aim to: * Establish new tolerance therapeutics * Develop a better understanding of the mechanisms of immune function and disease pathogenesis * Identify new biomarkers of tolerance and disease Their goals are to identify and develop treatment game changers for tolerance modulating therapies for the treatment of immune mediated diseases and disabling conditions, and to conduct high quality, innovative clinical trials and mechanistic studies not likely to be funded by other sources or to be conducted by private industry that advance our understanding of immunological disorders. In the Immune Tolerance Network's (ITN) unique hybrid academic/industry model, the areas of academia, government and industry are integral to planning and conducting clinical studies. They develop and fund clinical trials and mechanistic studies in partnership. Their development model is a unique, interactive process. It capitalizes on their wide-ranging, multidisciplinary expertise provided by an advisory board of highly respected faculty from institutions worldwide. This model gives investigators special insight into developing high quality research studies. The ITN is comprised of leading scientific and medical faculty from more than 50 institutions in nine countries worldwide and employs over 80 full-time staff at the University of California San Francisco (UCSF), Bethesda, Maryland and Benaroya Research Institute in Seattle, Washington.

Proper citation: Immune Tolerance Network (ITN) (RRID:SCR_001535) Copy   

•   Source: SciCrunch Registry

http://www.ncibi.org/

The Center develops conceptual models, computational infrastructure, an integrated knowledge repository, and query and analysis tools that enable scientists to effectively access and integrate the wealth of biological data. The National Center for Integrative Biomedical Informatics (NCIBI) was founded in October 2005 and is one of seven National Centers for Biomedical Computing (NCBC) in the NIH Roadmap. NCIBI is based at the University of Michigan as a part of the Center for Computational Medicine and Biology (CCMB). NCIBI is composed of biomedical researchers, computational biologists, computer scientists, developers and human-computer interaction specialists organized into seven major core functions. They work in interdisciplinary teams to collectively develop tools that are not only computationally powerful but also biologically relevant and meaningful. The four initial Driving Biological Projects (prostate cancer progression, Type 1 and type 2 diabetes and bipolar disorder) provide the nucleation point from which tool development is informed, launched, and tested. In addition to testing tools for function, a separate team is dedicated to testing usability and user interaction that is a unique feature of this Center. Once tools are developed and validated the goal of the Center is to share and disseminate data and software throughout the research community both internally and externally. This is achieved through various mechanisms such as training videos, tutorials, and demonstrations and presentations at national and international scientific conferences. NCIBI is supported by NIH Grant # U54-DA021519.

Proper citation: National Center for Integrative Biomedical Informatics (RRID:SCR_001538) Copy   

•   Source: SciCrunch Registry

http://teddy.epi.usf.edu/

International consortium of six centers assembled to participate in the development and implementation of studies to identify infectious agents, dietary factors, or other environmental agents, including psychosocial factors, that trigger type 1 diabetes in genetically susceptible people. The coordinating centers recruit and enroll subjects, obtaining informed consent from parents prior to or shortly after birth, genetic and other types of samples from neonates and parents, and prospectively following selected neonates throughout childhood or until development of islet autoimmunity or T1DM. The study tracks child diet, illnesses, allergies and other life experiences. A blood sample is taken from children every 3 months for 4 years. After 4 years, children will be seen every 6 months until the age of 15 years. Children are tested for 3 different autoantibodies. The study will compare the life experiences and blood and stool tests of the children who get autoantibodies and diabetes with some of those children who do not get autoantibodies or diabetes. In this way the study hopes to find the triggers of T1DM in children with higher risk genes.

Proper citation: TEDDY (RRID:SCR_000383) Copy   

•   Source: SciCrunch Registry

http://www.diabetestrialnet.org/

International network of researchers who are exploring ways to prevent, delay and reverse the progression of type 1 diabetes. It is conducting clinical trials with researchers from 18 Clinical Centers in the United States, Canada, Finland, United Kingdom, Italy, Germany, Australia and New Zealand. In addition, more than 150 medical centers and physician offices are participating in the TrialNet network. Studies are available for people newly diagnosed with type 1 diabetes, as well as for relatives of people with type 1 diabetes who are at greater risk of developing the disease. This NIH-sponsored clinical trials network conducts studies designed to evaluate new approaches to prevent or ameliorate type 1 diabetes specifically by interdicting the type 1 diabetes disease process. These include interventions designed to decrease beta-cell destruction and/or enhance beta-cell survival. Studies are conducted in non-diabetic persons at risk of type 1 diabetes in an effort to delay the development of type 1 diabetes as a clinical disease; or (if initiated prior to appearance of autoimmunity) in an effort to delay the appearance of autoimmunity; or in individuals with type 1 diabetes who are either newly diagnosed or have evidence of sustained beta cell function. Studies include long-term follow-up of subjects developing type 1 diabetes. The TrialNet network also supports natural history and genetics studies in populations screened for or enrolled in studies conducted by the TrialNet study group. In addition, TrialNet will evaluate methodologies that enhance the conduct of clinical trials interdicting the type 1 diabetes disease process.

Proper citation: Type 1 Diabetes TrialNet (RRID:SCR_001508) Copy   

•   Source: SciCrunch Registry

http://www.citregistry.org/

Collect, analyze, and communicate on comprehensive and current data on all islet/beta cell transplants in human recipients performed in North America, as well as some European and Australian centers to expedite progress and promote safety in islet/beta cell transplantation. This site serves as a repository for general information concerning protocols, clinical transplantation sites, publications, and other information of interest to the general community. Annual Reports are available. Islet/beta cell transplantation is a complex procedure with many factors contributing to the outcome. Compiling and analyzing data from all transplant centers in the US, Canada, as well as some European and Australian centers will accelerate the identification of both critical risk factors and key determinants of success and thereby guide transplant centers in developing and refining islet/beta cell transplant protocols. The inclusion of the term collaborative in the name of the Registry emphasizes the importance of collaboration in fulfilling the CITR mission and goals. Close collaboration with the transplant centers will ensure that relevant questions are addressed, that data submitted are accurate and complete, and that the needs of the transplant community are served. Information on how to participate as a CITR Transplant Center and to receive a transplant center application is available through the website. Progress in islet transplantation depends entirely on complete, high-quality medical data, including the information patients consented to report to the Collaborative Islet Transplant Registry. To make it as easy as possible to provide updated information about patient's health, an on-line questionnaire is available or patients can mail it to their transplant center. This information is very important in the continuing search for a cure for Type 1 diabetes.

Proper citation: Collaborative Islet Transplant Registry (RRID:SCR_001466) Copy   

•   Source: SciCrunch Registry

http://www.diacomp.org

Consortium serving the diabetic complications community that sponsors annual meetings in complications-relevant scientific areas, solicits and funds pilot projects in high impact areas of complications research, and provides resources and data including animal models, protocols and methods, validation criteria, reagents and resources, histology, publications and bioinformatics for researchers conducting diabetic complications research.

Proper citation: Diabetic Complications Consortium (RRID:SCR_001415) Copy   

•   Source: SciCrunch Registry

https://pancreatlas.org/

Collection of human pancreas data and images. Platform to share data from human pancreas samples. Houses reference datasets from human pancreas samples, achieved through generosity of organ donors and their families.

Proper citation: Pancreatlas (RRID:SCR_018567) Copy   

•   Source: SciCrunch Registry

https://tabula-sapiens-portal.ds.czbiohub.org/

Single cell transcriptomic atlas of multiple organs from individual human donors. Multiple organ, single cell transcriptomic atlas of humans. Molecular reference atlas for cell types of human body. Provides molecular definition of these cell types and reveals many other aspects of human biology, including how same gene can be spliced differently in different cell types, how shared cell types in different tissues can have subtle differences in their identities, and how clones of immune system can be shared across tissues.

Proper citation: Tabula Sapiens (RRID:SCR_022314) Copy   

•   Source: SciCrunch Registry

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

Core which offers high quality immunoassay services to basic, translational, and clinical investigators performing diabetes and related metabolic disease research. The core also provides consultation and training and education services.

Proper citation: Penn Diabetes Research Center Radioimmunoassay and Biomarkers Core Facility (RRID:SCR_010028) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/community/profile/id/2230

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that supports diabetes, endocrine, and metabolic research across a range of species. Its objective is to provide sensitive, reproducible, and inexpensive analyses of hormones, amino acids, and other relevant chemicals.

Proper citation: Vanderbilt Diabetes Research and Training Center Hormone Assay and Analytical Services Core Facility (RRID:SCR_010181) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/community/profile/id/2229

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core facility that provides any Vanderbilt researcher with access to imaging equipment and expert technical support for microscopy and analysis of tissue and cellular physiology.

Proper citation: Vanderbilt Diabetes Research and Training Center Cell Imaging Shared Resource Core Facility (RRID:SCR_010165) Copy   

•   Source: SciCrunch Registry

http://wwwcf.nlm.nih.gov/hsrr_search/view_hsrr_record_table.cfm?TITLE_ID=479&PROGRAM_CAME=toc_with_source2.cfm

Data set of annual questionnaires of a long-term prospective study of 1,337 former Johns Hopkins University medical students to identify precursors of premature cardiovascular disease and hypertension. The purpose of the study has broadened, however, as the cohort has aged. The study has been funded for 15 years. Participants were an average of 22 years of age at entry and have been followed to an average age of 69 years. Data are collected through annual questionnaires, supplemented with phone calls and substudies. Self-reports of diseases and risk factors have been validated. Every year from 1988 to 2003, anywhere from 2 to 6 questionnaires have been administered, in categories such as the following, which repeat periodically: Morbidity, Supplemental Illness, Health Behavior, Family and Career, Retirement, Job Satisfaction, Blood Pressure and Weight, Medications, Work Environment, Social Network, Diabetes, Osteoarthritis, Health Locus of Control, Preventive Health Services, General Health, Functional Limitations, Memory Functioning, Smoking, Religious Beliefs and Practices, Links with Administrative Data, National Death Index searches for all nonrespondents * Dates of Study: 1946-2003 * Study Features: Longitudinal * Sample Size: 1,337 (1946)

Proper citation: Precursors of Premature Disease and Death (RRID:SCR_010483) Copy   

•   Source: SciCrunch Registry

https://www.atypicaldiabetesnetwork.org/

Portal dedicated to characterizing, discovering and defining rare and atypical forms of diabetes. Network of universities, hospitals and clinics across the United States dedicated to better understanding atypical diabetes. Team of academic institutions and scientists collaborates with physicians and healthcare groups to identify those with atypical diabetes and learn more about their health.

Proper citation: Rare and Atypical Diabetes Network (RRID:SCR_024732) Copy   

•   Source: SciCrunch Registry

https://diabetes.med.umich.edu/affiliated-centers/michigan-diabetes-research-center-mdrc/cores/molecular-genetics

Core that provides services related to the application of genetic methodologies to research related to diabetes. Services include generation of targeted genetic mouse models, using CRISPR/Cas9 system in mouse or rat embryos, generation of specialty viral vectors, specialty viral reagents, and specialty mouse models.

Proper citation: Michigan Diabetes Research Center Molecular Genetics Core Facility (RRID:SCR_015119) Copy   

•   Source: SciCrunch Registry

http://depts.washington.edu/diabetes/administrative-core/

Core facility that supports the Diabetes Research Center in its primary mission to enhance research, education and training in diabetes, obesity and related disorders at the University of Washington and in the Greater Seattle area. The Core coordinates and manages programs, evaluates Center activities, and performs other duties.

Proper citation: University of Washington Diabetes Research Center Administrative Core (RRID:SCR_015124) Copy   

•   Source: SciCrunch Registry

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

Core which offers experiment planning, sample preparation, quality assessment, library construction, DNA sequencing, and data analysis services to DRC members. Its services also include RNAseq, microRNAseq, GroSeq, CLIP-seq, nucleosome mapping, ATAC-Seq, ChIPseq, Exome sequencing, whole genome and targeted methylome analysis, hydroxymethyl DIP, and single cell RNAseq.

Proper citation: Penn Diabetes Research Center Functional Genomics Core (RRID:SCR_015121) Copy   

•   Source: SciCrunch Registry

http://cdmd.indiana.edu/research-core/the-swine-core/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 14,2024. Core which utilizes a breeding colony of Ossabaw swine with metabolic syndrome and long-term complications, most notably cardiovascular disease. It provides swine maintenance (glucose tolerance tests, body composition, glucose clamp studies, and imaging studies), characterization of cardiovascular disease (intravascular ultrasound, blood flow velocity, microvascular studies), and tissues (both banked and fresh) for analysis ex vivo.

Proper citation: Indiana Diabetes Research Center Swine Core (RRID:SCR_015089) Copy   

•   Source: SciCrunch Registry

http://depts.washington.edu/diabetes/cellular-and-molecular-imaging/

Core facility that provides Diabetes Research Center affiliates with access to specialized expertise and equipment required for high quality histochemical and morphological analyses in a cost-effective manner.

Proper citation: University of Washington Diabetes Research Center Cellular and Molecular Imaging Core (RRID:SCR_015125) Copy   

•   Source: SciCrunch Registry

https://www.derc.cuimc.columbia.edu/services/mouse-metabolic-function-and-phenotyping-core

Core that provides services that facilitate the efficient characterization of mouse models of diabetes and its complications: NMR Body Composition Analysis, Whole Body Metabolic Assessment (chamber calorimetry with motion detection), Metabolic Clamps, Gastric Infusion/Feeding and Thermogenic Phenotyping.

Proper citation: Columbia Diabetes Research Center Mouse Metabolic Function and Phenotyping Core Facility (RRID:SCR_015082) Copy   

•   Source: SciCrunch Registry

https://diabetescenters.org/cores/indiana-microscopy-core

Core that provides consultation and specialized services for intravital microscopy of pancreas and transplanted islets, FRET assays, and fluorescent biosensors for analysis of intracellular signaling cascades to serve the area diabetes investigators.

Proper citation: Indiana Diabetes Research Center Microscopy Core Facility (RRID:SCR_015083) Copy   

•   Source: SciCrunch Registry