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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   

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https://www.wtccc.org.uk/

Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2.

Proper citation: Wellcome Trust Case Control Consortium (RRID:SCR_001973) Copy   

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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

Ratings or validation data are available for this resource

http://iidp.coh.org/Default.aspx

The goal of the Integrated Islet Distribution Program (IIDP) is to work with the leading islet isolation centers in the U.S. to distribute high quality human islets to the diabetes research community, in order to advance scientific discoveries and translational medicine.

Proper citation: Integrated Islet Distribution Program (IIDP) (RRID:SCR_014387) Copy   

•   Source: SciCrunch Registry

http://www.diabetes-translation.org

Centers that are part of an integrated program whose cores support and enhance diabetes type II translation research. The CDTRs aim to enhance the efficiency, productivity, effectiveness and multidisciplinary nature of diabetes translation research.

Proper citation: Centers for Diabetes Translation Research (RRID:SCR_015149) Copy   

•   Source: SciCrunch Registry

https://hugeamp.org

Portal enables browsing, searching, and analysis of human genetic information linked to common metabolic diseases and traits, while protecting integrity and confidentiality of underlying data. Aggregates and analyzes genetic association results, epigenomic annotations, and results of computational prediction methods to provide data, visualizations, and tools in open access portal.

Proper citation: Common Metabolic Diseases Knowledge Portal (RRID:SCR_020937) Copy   

•   Source: SciCrunch Registry

https://thesugarscience.org

Interactive digital platform helping scientists who study type 1 diabetes connect, collaborate, and gain funding for their best ideas. All volunteer team has received much positive support from the global population of scientists studying type 1 diabetes, as well as from Beyond Type 1, JDRF, and IPITA. Provides curated conversations, events and technology to scientific T1D focused audience. Non profit entity funded by donations and sponsorships with industry and academic partners to provide unique collaborative benefits and programs to researchers in the T1D academic research community.

Proper citation: thesugarscience (RRID:SCR_020250) Copy   

•   Source: SciCrunch Registry

http://www.bumc.bu.edu/busm-pathology/pathology-core-services/biospecimen-archive-research-core-barc/

Biospecimen repository of normal and diseased human material from a variety of tissues and conditions along with clinical annotation. Both frozen aliquots and paraffin embedded tissue are available. Biospecimens are available to qualified researchers with IRB approval. * Preliminary inquires please contact Cheryl Spencer at cheryl.spencer (at) bmc.org

Proper citation: Boston University Biospecimen Archive Research Core (RRID:SCR_005363) 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

http://www.niddkrepository.org/studies/hapo-fus/

The goal of this follow-up study of mothers who participated in the Hyperglycemia and Adverse Pregnancy Outcomes (HAPO) study is to determine the levels of blood sugar during pregnancy that are linked to increased body fat in the child, as well as to determine the chances of a mother developing diabetes 8-12 years after the pregnancy. The original study examined 23,316 mother-child pairs, and researchers determined that the hyperglycemia of a mother was linked to newborn birth weight and body fat. HAPO-FUS will enroll 7,000 or the original HAPO mother-child pairs for one follow-up visit to assess body composition, blucose metabolism, medical history, and other metabolic parameters.

Proper citation: Hyperglycemia and Pregnancy Outcomes Follow-Up Study Consortium (HAPO-FUS) (RRID:SCR_014377) Copy   

•   Source: SciCrunch Registry

https://einsteinmed.edu/centers/diabetes-research/research-areas/biomedical-cores/translational-research-core/index.html

Core services include consultation, technical support and training and mentoring in clinical and translational research methods that are specifically applicable to diabetes, its complications and related metabolic disorders. Personel provides expertise in first-in-human and mechanistic studies in integrative physiology, in clinical trials of diabetes and obesity, and in application of new technologies.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Translational Research Core Facility (RRID:SCR_015068) Copy   

•   Source: SciCrunch Registry

http://drc.ucsf.edu/mouse-metabolism-core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 10,2024. Core which provides technical support for UCSF investigators to conduct metabolic studies using a 12-chambered Comprehensive Lab Animal Monitoring System (CLAMS), an EchoMRI, and Dual energy X-ray absorptiometry, which together allow measurement of food intake, water intake, motor activities, core temperature, and body composition in live mice. It also helps to identify emerging technologies that will enhance multiple research programs and coordinates the acquisition and maintenance of those facilities.

Proper citation: University of California San Francisco Diabetes Research Center Mouse Metabolism Core (RRID:SCR_015101) Copy   

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https://www.baderc.org/cores/cbmcore/

Services provided include tissue preparation, embedding and sectioning for electron microscopy, use of electron microscope and photography of thin sections, immunogold staining for electron microscopy, preparation and incubation of samples (cells and tissues) for immunofluorescence microscopy, confocal microscopy and digital imaging.

Proper citation: Boston Area Diabetes Endocrinology Research Center Cell Biology and Morphology Core Facility (RRID:SCR_015069) Copy   

•   Source: SciCrunch Registry

https://diabetes.ucsf.edu/drc-islet

Core that enables clinical and basic research that analyzes the function of isolated pancreatic islets. It coordinates and delivers purified human islets to investigators when research need matches the availability of a human pancreas.

Proper citation: University of California San Francisco Diabetes Research Center Islet Production Core Facility (RRID:SCR_015106) Copy   

•   Source: SciCrunch Registry

https://diabetes.ucsf.edu/drc-microscopy

Core that consolidates, enhances and disseminates Diabetes Center resources and expertise in tissue and cell imaging technologies. Confocal fluorescence, widefield fluorescence, high throughput fluorescence and brightfield microscopes are available directly within the DRC Microscopy Core. Image quantification and analysis is performed at dedicated workstations.

Proper citation: University of California San Francisco Diabetes Research Center Microscopy Core Facility (RRID:SCR_015103) Copy   

•   Source: SciCrunch Registry

http://drc.ucsf.edu/lentiviral-rnai-core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 5,2024. Core that provides reagents, equipment, training, supervision, and monitoring of investigators wishing to ensure the proper compliance with biosafety containment required for lentiviral-based research, lentiviral preparation services for investigators, and education on RNAi experimentation, through the lentiviral core website, and through protocols available at the facility.

Proper citation: University of California San Francisco Diabetes Research Center Lentiviral RNAi Core Facility (RRID:SCR_015104) Copy   

•   Source: SciCrunch Registry

http://www.baderc.org/cores/molbioCore.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 24,2024. Core that provides services for DNA sequencing and oligonucleotide synthesis, as well as support for projects that require research laboratory automation, such as siRNA screens and transcript abundance profiling. It also offers experimental design and advice for automation and high throughput screening of siRNA collections based on the Ambion siRNA collection.

Proper citation: Boston Area Diabetes Endocrinology Research Center Molecular Biology (RRID:SCR_015079) Copy   

•   Source: SciCrunch Registry

http://www.uab.edu/shp/drc/animal-physiology-core-links

Core that provides diabetes researches with diabetes related phenotyping in small animal models. Their services offered include the assessment of body composition, energy balance, glucose homeostasis, cardiovascular assessment, imaging, and transgenic animals models.

Proper citation: University of Alabama at Birmingham Diabetes Research Center Animal Physiology Core Facility (RRID:SCR_015110) Copy   

•   Source: SciCrunch Registry