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https://sdrc.stanford.edu/sdrc-research-cores/dimc/home/

Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.

Proper citation: Stanford Diabetes Research Center Diabetes Immune Monitoring Core (RRID:SCR_016210) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/sirc/home/

Core facility whose services include: Islet Isolation, Islet transplantation, Islet Culture, Islet Perifusion & Islet Hormone Assays. The SIRC is supported by the Stanford Diabetes Research Center (SDRC).

Proper citation: Stanford Diabetes Research Center Stanford Islet Research Core (RRID:SCR_016211) Copy   

•   Source: SciCrunch Registry

http://depts.washington.edu/uwnorc/core-facilities/adipose-tissue-and-obesity-core/

Core that provides affiliated investigators with assistance for in vivo and in vitro studies in both subcutaneous and visceral human adipose tissue. Body and liver fat measurement by DXA and MRI are also provided, as is support for translational studies that assist investigators in the design conduct of clinical obesity research.

Proper citation: University of Washington Nutrition and Obesity Research Center Adipose Tissue and Obesity Core (RRID:SCR_015481) 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://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

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://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://gitlab.com/rosen-lab/white-adipose-atlas

Single cell atlas of human and mouse white adipose tissue.

Proper citation: White Adipose Atlas (RRID:SCR_023625) Copy   

•   Source: SciCrunch Registry

http://clonesearch.jdrfnpod.org/

Database of sequence data generated from high-throughput immunosequencing of the TCR beta chain (TRB) and B cell receptor (BCR) immunoglobulin heavy chain (IGH). This data comes from cells from NPOD donors.

Proper citation: nPOD TCR/BCR Search (RRID:SCR_015851) Copy   

•   Source: SciCrunch Registry

http://www.stanford.edu/group/exonarray/cgi-bin/plot_selector.pl

Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease.

Proper citation: Exon Array Browser (RRID:SCR_008712) Copy   

•   Source: SciCrunch Registry

https://matkp.org/

Open community portal for multi-species mammalian adipose biology. Aggregates data for adipose tissues and cell types, genes active within them, and their relationship to human phenotypes. Plans to offer reproducible analysis pipelines, wet lab and computational protocols, datasets, analyses, and visualizations for epigenomic, transcriptomic, proteomic, metabolomic, and imaging data. Designed to aggregate and harmonize multi-species (human and mouse) transcriptomic, genetic, and epigenomic data. Enables to explore adipose biology, cell-type-specific gene expression, and metabolic disease mechanisms through interactive tools like Single Cell Browsers.

Proper citation: Mammalian Adipose Tissue Knowledge Portal (RRID:SCR_028031) Copy   

•   Source: SciCrunch Registry

http://starnet.mssm.edu/

Web interactive browser to visualize data and perform gene set enrichment analysis along with gene and SNP lookup. Web interface used to query STARNET datasets and downstream analysis which includes RNAseq from 7 tissues: blood, free internal mammary artery (MAM), atherosclerotic aortic root (AOR), subcutaneous fat (SF), visceral abdominal fat (VAF), skeletal muscle (SKLM), and liver (LIV). Paired SNP genotyping data is included and utilized for tissue expression quantitative trait loci (eQTL), CAD heritability (H2), co-expression networks and gene regulatory networks.

Proper citation: STARNET (RRID:SCR_025238) Copy   

•   Source: SciCrunch Registry

https://github.com/cafferychen777/ggpicrust2

Software R package for analyzing and interpreting results of PICRUSt2 functional prediction. Offers range of features, including pathway name/description annotations, advanced differential abundance methods, and visualization of differential abundance results. Used for PICRUSt2 predicted functional profile analysis and visualization.

Proper citation: ggpicrust2 (RRID:SCR_025965) Copy   

•   Source: SciCrunch Registry

https://www.cincinnatichildrens.org/research/divisions/d/dhc/cores/integrative-morphology/confocal-imaging

Provides Cincinnati Children s Hospital Medical Center; Cincinnati; Ohio resources in confocal, wide-field, and spatial technique applications.

Proper citation: Cincinnati Children's Hospital Confocal Imaging Core Facility (RRID:SCR_022628) Copy   

•   Source: SciCrunch Registry

https://ncdiabetesresearch.org/acsmc

Core to leverage data, patient populations and investigators at each NCDRC institution, including accessing expertise and resources of regional Clinical and Translational Science Institute hubs (Duke, UNC, and Wake Forest). Research navigators in ACSMC provides input and navigation of clinical research resources available to diabetes investigators based on extensive experience in diabetes specific studies and methodology and deep knowledge of NCDRC resources available at each institution.

Proper citation: North Carolina Diabetes Research Center Advanced Clinical Study Methods Core Facility (RRID:SCR_022908) Copy   

•   Source: SciCrunch Registry

https://medschool.cuanschutz.edu/diabetes-research-center/diabetes-research-center/drc-cores/cell-and-tissue-analysis

Provides diabetes researchers at University of Colorado with access to microscopy and mass cytometry systems. Provides expertise and training to use equipment effectively for diabetes related tissues; expertise and validated diabetes related resources to prepare samples appropriately; guidance to design experiments; resources to analyze data; assistance with data interpretation.

Proper citation: University of Colorado Anschutz Medical Campus Diabetes Research Center Cell and Tissue Analysis Core Facility (RRID:SCR_022906) Copy   

•   Source: SciCrunch Registry