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http://www.uchicagoddrcc.org/research-cores/tissue-engineering-and-cell-models-core

Core that provides services such as a repository for intestinal cell lines, Tissue Engineering Models, experimental materials, and supplies for digestive disease research.

Proper citation: University of Chicago Digestive Diseases Research Core Center Tissue Engineering and Cell Models Core (RRID:SCR_015604) Copy   

•   Source: SciCrunch Registry

https://github.com/EpistasisLab/ReBATE

Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .

Proper citation: ReBATE (RRID:SCR_017139) Copy   

•   Source: SciCrunch Registry

http://diabetes.niddk.nih.gov/dm/pubs/control/index.aspx

Clinical study that showed that keeping blood glucose levels as close to normal as possible slows the onset and progression of eye, kidney, and nerve diseases caused by diabetes. EDIC is a follow-up study of people who participated in DCCT. The DCCT involved 1,441 volunteers, ages 13 to 39, with type 1 diabetes and 29 medical centers in the United States and Canada. Volunteers had to have had diabetes for at least 1 year but no longer than 15 years. They also were required to have no, or only early signs of, diabetic eye disease. The study compared the effects of standard control of blood glucose versus intensive control on the complications of diabetes. Intensive control meant keeping hemoglobin A1C levels as close as possible to the normal value of 6 percent or less. The A1C blood test reflects a person''''s average blood glucose over the last 2 to 3 months. Volunteers were randomly assigned to each treatment group. DCCT Study Findings * Intensive blood glucose control reduces risk of ** eye disease: 76% reduced risk ** kidney disease: 50% reduced risk ** nerve disease: 60% reduced risk When the DCCT ended, researchers continued to study more than 90 percent of participants. The follow-up study, called Epidemiology of Diabetes Interventions and Complications (EDIC), is assessing the incidence and predictors of cardiovascular disease events such as heart attack, stroke, or needed heart surgery, as well as diabetic complications related to the eye, kidney, and nerves. The EDIC study is also examining the impact of intensive control versus standard control on quality of life. Another objective is to look at the cost-effectiveness of intensive control. EDIC Study Findings * Intensive blood glucose control reduces risk of ** any cardiovascular disease event: 42% reduced risk ** nonfatal heart attack, stroke, or death from cardiovascular causes: 57% reduced risk

Proper citation: Diabetes Control and Complications Trial (RRID:SCR_006805) Copy   

•   Source: SciCrunch Registry

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

Core in BADERC that provides services in consultation and teaching, use of DEXA scanner for determination of body fat and/or bone density, and use of Coulter Counter to measure cell number and cell size distribution.

Proper citation: Boston Area Diabetes Endocrinology Research Center Metabolic Physiology and Energy Balance Core Facility (RRID:SCR_008293) Copy   

•   Source: SciCrunch Registry

https://hddc.hms.harvard.edu/core-b

Core facility that provides service for paraffin embedding, sectioning, staining, and frozen sectioning; shared equipment and service for confocal, widefield, photodocumentation, electron microscopy, and digital image processing; and an immunostaining service.

Proper citation: Harvard Digestive Diseases Center Biomedical CORE B: Microscopy and Histopathology (RRID:SCR_009836) Copy   

•   Source: SciCrunch Registry

https://joslinresearch.org/drc-cores/Flow-Cytometry-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides cell sorting and flow cytometry services. Specific services include cell analysis, large object sorting,magnetic cell enrichment, and automatic cell counting.

Proper citation: Joslin Diabetes Center Flow Cytometry Core Facility (RRID:SCR_009878) Copy   

•   Source: SciCrunch Registry

https://joslinresearch.org/drc-cores/Animal-Physiology-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides technically advanced physiological evaluation of metabolism in diabetes, obesity, and their associated complications in rodents for DRC investigators and outside users. It also provides training of investigators and trainees in several physiological procedures.

Proper citation: Joslin Diabetes Center Animal Physiology Core Facility (RRID:SCR_009876) Copy   

•   Source: SciCrunch Registry

https://joslinresearch.org/drc-cores/Advanced-Microscopy-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides services for performing specific morphological procedures, providing training and access to equipment, maintaining the specialized microscopes, and giving advice and interpretation.

Proper citation: Joslin Diabetes Center Advanced Microscopy Core Facility (RRID:SCR_009875) Copy   

•   Source: SciCrunch Registry

https://joslinresearch.org/drc-cores/Advanced-Genomics-and-Genetics-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides services for genetic and genomic analysis, including DNA extraction from blood, access to DNA collections from the Core?s repository, SNP genotyping, and support for gene expression studies based on both high-density oligonucleotide arrays and real-time quantitative PCR.

Proper citation: Joslin Diabetes Center Advanced Genomics and Genetics Core Facility (RRID:SCR_009873) 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

http://www.med.upenn.edu/gtp/vectorcore/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2023. Core whose main aim is to provide vector technology for preclinical studies and other basic research applications. Its services include rovision of AAV, adenoviral and lentiviral based vectors, consultation and advice in the design of custom vectors and in vector serotype/pseudotype selection, and design, cloning and production of plasmid DNA for the production of custom vectors.

Proper citation: University of Pennsylvania Center for Molecular Therapy for Cystic Fibrosis Vector Core Facility (RRID:SCR_010038) 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

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://github.com/caleblareau/mgatk

Software python-based command line interface for processing .bam files with mitochondrial reads and generating high-quality heteroplasmy estimation from sequencing data. This package places a special emphasis on mitochondrial genotypes generated from single-cell genomics data, primarily mtscATAC-seq, but is generally applicable across other assays.

Proper citation: mgatk (RRID:SCR_021159) Copy   

•   Source: SciCrunch Registry

https://github.com/FunctionalUrology/MLme

Software toolkit for Machine Learning Driven Data Analysis. Simplifies machine learning for data exploration, visualization and analysis.

Proper citation: Machine Learning Made Easy (RRID:SCR_024439) 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

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

http://globalprojects.ucsf.edu/project/novel-small-molecule-therapies-cystic-fibrosis

Research center that focuses on developing novel therapies for cystic fibrosis, enhancing research projects examining the mechanisms of the disease, and developing new small-molecule therapies that can be translated into the clinic.

Proper citation: Cystic Fibrosis Center - University of California San Francisco (RRID:SCR_015398) Copy   

•   Source: SciCrunch Registry

https://maayanlab.cloud/sigcom-lincs

Web server that serves over million gene expression signatures processed, analyzed, and visualized from LINCS, GTEx, and GEO. Data and metadata search engine for gene expression signatures.

Proper citation: SigCom LINCS (RRID:SCR_022275) Copy   

•   Source: SciCrunch Registry