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https://grade.bsc.gwu.edu/web/grade/home

A comparative study that aims to determine which combination of two medications is best for glycemic control in Type 2 Diabetes, has the fewest side effects, and is the most beneficial for overall health. GRADE is a randomized clinical trial of participants diagnosed with type 2 diabetes within the past 10 years who are already on metformin. Participants will be randomly assigned to 1 of 4 commonly-used glucose-lowering drugs (glimepiride, sitagliptin, liraglutide, and basal insulin glargine), plus metformin, and will be followed for up to 7 years.

Proper citation: Glycemic Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE) (RRID:SCR_014384) Copy   

•   Source: SciCrunch Registry

http://sharedresources.fredhutch.org/core-facilities/cceh-administration

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July,27,2022. Core facility that provides scientific and budgetary oversight for all CCEH activities. This includes training programs, high school summer internships, and and pilot and feasibility program for new projects.

Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology (RRID:SCR_015320) Copy   

•   Source: SciCrunch Registry

http://www.med.umich.edu/mgpc/

Center whose goal is to investigate signal transduction mechanisms regulating homeostasis and GI disorders. Their approach includes studies on genetics and gene regulation, cellular signaling pathways, receptors and ion channels.

Proper citation: University of Michigan Center for Gastrointestinal Research (RRID:SCR_015605) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

https://github.com/BodenmillerGroup/imctools

Software Python package that implements preprocessing pipeline for imaging mass cytometry data. Can convert IMC raw files to tiff files that are used as inputs into CellProfiller, Ilastik, Fiji etc.

Proper citation: imctools (RRID:SCR_017132) Copy   

•   Source: SciCrunch Registry

http://rc2resource.scripps.edu

Database portal for a project that aims to discover and characterize new molecular pathways that can be targeted pharmacologically to revert obesity-linked adipocyte defects that drive systemic insulin resistance and type 2 diabetes. It works to identify in tandem physiologically-relevant proteins and chemical tools in order to expedite their functional annotation and therapeutic validation.

Proper citation: Chemoproteomic identification and therapeutic validation of proteins of metabolic significance (RRID:SCR_015847) Copy   

•   Source: SciCrunch Registry

http://monogenicdiabetes.uchicago.edu/mody-registry-2/

Research project that aims to learn more about the number of people who have monogenic diabetes, why and how it happens, and how best to treat it. Any adult or child with a known genetic cause of diabetes may join the MODY Registry.

Proper citation: Monogenic Diabetes Registry (RRID:SCR_015883) Copy   

•   Source: SciCrunch Registry

http://www.ngsp.org

Project that aims to standardize Hemoglobin A1c test results to those of the Diabetes Control and Complications Trial (DCCT) and United Kingdom Prospective Diabetes Study (UKPDS) which established the direct relationships between HbA1c levels and outcome risks in patients with diabetes.

Proper citation: National Glycohemoglobin Standardization Program (RRID:SCR_015885) 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

http://www.utsouthwestern.edu/labs/acute-liver/

Clinical research network for gathering prospective data and bio-samples on acute liver failure in adults since 1998. Clinical histories and laboratory and outcome data are available. Sample types include serum, plasma, urine, DNA, and liver tissue.

Proper citation: Acute Liver Failure Study Group (RRID:SCR_001463) Copy   

•   Source: SciCrunch Registry

https://www.signalingpathways.org/ominer/query.jsf

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP).

Proper citation: Nuclear Receptor Signaling Atlas (RRID:SCR_003287) 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://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

https://medschool.cuanschutz.edu/diabetes-research-center/diabetes-research-center/drc-cores/diabetes-modeling

Provides diabetes researchers with access to novel human stem cell-derived in vitro cell models for investigating cellular and molecular features of both Type 1 and Type 2 diabetes. Recent progress in stem cell, organoid culture, gene editing and directed differentiation technologies has afforded opportunities to develop pre-clinical human models.Provides expertise, infrastructure and access to novel human model systems and technologies to DRC investigators. Provides expertise, resources and training in stem cell technologies together with quality control testing, validation standardization and authentication all model platforms and reagents.

Proper citation: University of Colorado Anschutz Medical Campus Diabetes Research Center Disease Modeling Core Facility (RRID:SCR_022905) Copy   

•   Source: SciCrunch Registry

https://medschool.cuanschutz.edu/diabetes-research-center/diabetes-research-center/drc-cores/clinical-resources

Core leverages current clinical research facilities and equipment available at Barbara Davis Center for Childhood Diabetes, UC AMC Clinical Translational Research Center, University of Colorado Hospital, Denver Veteran Administration Medical Center and Children Hospital Colorado.Core integrates diabetes research across these institutions through communication and distribution of resources available, and creates shared sample and data biobanks and recruiting database of mothers, infants, children, adolescents and adults with diabetes, diabetes risk and controls.

Proper citation: University of Colorado Anschutz Medical Campus Diabetes Research Center Clinical Resource Core Facility (RRID:SCR_022903) Copy   

•   Source: SciCrunch Registry

https://github.com/compbiolabucf/PTNet

Graph based learning model for protein expression estimation by considering miRNA-mRNA interactions. Estimates protein levels by considering miRNA-mRNA interaction network, mRNA expression and miRNA expression.

Proper citation: PTNet (RRID:SCR_022975) 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://flow.ucsf.edu/

Core assists investigators whose research requires molecular marker characterization of cells in suspension as well as isolation of cells based on those markers. Advanced cell sorting and cytometric analyses by Flow or Mass Cytometry are provided.

Proper citation: University of California San Francisco Parnassus Flow Cytometry Core Facility (RRID:SCR_018206) 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://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