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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6301786/
Device to control spatial and temporal variations in oxygen tensions to better replicate in vivo biology. Consists of three parallel connected tissue chambers and oxygen scavenger channel placed adjacent to these tissue chambers. Provides consistent control of spatial and temporal oxygen gradients in tissue microenvironment and can be used to investigate important oxygen dependent biological processes present in cancer, ischemic heart disease, and wound healing.
Proper citation: Microfluidic device to attain high spatial and temporal control of oxygen (RRID:SCR_017131) Copy
https://medschool.cuanschutz.edu/diabetes-research-center
Center to facilitate diabetes research at University of Colorado by integrating interdisciplinary basic, translational, and clinical diabetes research base; providing infrastructure and resources that are indispensable for continued discovery and progress towards diabetes research and developing improved prediction and disease prevention;providing P&F and enrichment programs to support DRC investigators and their trainees, and recruit new and young investigators into diabetes research.
Proper citation: University of Colorado Diabetes Research Center (RRID:SCR_022897) Copy
https://ncdiabetesresearch.org/
Interactive regional diabetes research community across four premiere research institutions in North Carolina, who currently garner over $70 million annually for support of their diabetes research: Duke University (Duke), The University of North Carolina at Chapel Hill (UNC), Wake Forest School of Medicine (WF), and North Carolina A&T State University (NC A&T State). NCDRC supports Research Cores that represent unique strengths at each institution.
Proper citation: North Carolina Diabetes Research Center (RRID:SCR_022896) Copy
University-affiliated center that promotes research in diabetes and related metabolic and endocrine disorders at Stanford University.
Proper citation: Stanford Diabetes Research Center (RRID:SCR_015856) Copy
Network of clinical centers and a data coordinating center established to conduct studies of islet transplantation in patients with type 1 diabetes.
Proper citation: Clinical Islet Transplantation Consortium (CITC) (RRID:SCR_014385) Copy
Software tools for Motif Discovery and next-gen sequencing analysis. Used for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of functional genomics sequencing data sets. Collection of command line programs for unix style operating systems written in Perl and C++.
Proper citation: HOMER (RRID:SCR_010881) Copy
https://hirnetwork.org/consortium/ctar
Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is investigating methods to increase or maintain functional beta cell mass in T1D through targeted manipulation of islet plasticity or engineered protection of beta cells from immune-mediated destruction.
Proper citation: HIRN Consortium on Targeting and Regeneration (RRID:SCR_016201) Copy
http://bioplex.hms.harvard.edu/
Database of cell lines with each expressing a tagged version of a protein from the ORFeome collection. The overarching project goal is to determine protein interactions for every member of the collection.
Proper citation: BioPlex (RRID:SCR_016144) Copy
https://hirnetwork.org/consortium/chib
Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is combining advances in beta cell biology and cell biology with tissue engineering technologies to develop microdevices that support functional human islets.
Proper citation: HIRN Consortium on Human Islet Biomimetics (RRID:SCR_016199) Copy
https://hirnetwork.org/consortium/cbds
Consortium that is an independent research initiative of the Human Research Information Network (HIRN). It is using human tissues to discover highly specific biomarkers of beta cell injury in asymptomatic T1D and developing strategies to stop beta cell destruction early in the disease process.
Proper citation: HIRN Consortium on Beta Cell Death and Survival (RRID:SCR_016198) Copy
https://hirnetwork.org/project/hirncc
Consortium that provides infrastructure to promote communication and collaboration among current and future HIRN participants, facilitating scientific advances and the sharing of data, tools, and reagents among HIRN members and the research community at large.
Proper citation: HIRN Coordinating Center (RRID:SCR_016395) Copy
https://cm.jefferson.edu/rna22/
Software tool as a pattern based algorithm for detecting microRNA binding sites and their corresponding microRNA and mRNA complexes. Allows interactive exploration and visualization of miRNA target predictions. Permits link-out to external expression repositories and databases.
Proper citation: RNA22 (RRID:SCR_016507) Copy
https://plusconsortium.umn.edu
Research consortium from many different fields to plan, perform and analyze the studies that are needed to help researchers conduct future prevention and intervention for Lower Urinary Tract Symptoms (LUTS) in women.
Proper citation: Prevention of Lower Urinary Tract Symptoms (RRID:SCR_016923) Copy
Project to ethically obtain and evaluate human kidney biopsies from participants with Acute Kidney Injury (AKI) or Chronic Kidney Disease (CKD), create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies. Used to develop the next generation of software tools to visualize and understand the various components of kidney diseases and to optimize data collection. Multi site collaboration comprised of patients, clinicians, and investigators from across the United States.
Proper citation: Kidney Precision Medicine Project (RRID:SCR_016920) Copy
https://picrust.github.io/picrust/
Software package to predict metagenome functional content from marker gene (e.g., 16S rRNA) surveys and full genomes. Used to predict which gene families are present and then combines gene families to estimate the composite metagenome.
Proper citation: PICRUSt (RRID:SCR_016855) Copy
http://sharedresources.fredhutch.org/core-facilities/bioinformatics
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Core provides bioinformatics specialists available to assist researchers with processing, exploring, and understanding genomics data.
Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource (RRID:SCR_015324) Copy
https://www.niddk.nih.gov/research-funding/research-programs/kidney-disease-centers
Research program whose aim is to make state-of-the art technologies and resources accessible to a broad spectrum of investigators pursuing studies in kidney research areas.
Proper citation: O'Brien Kidney Centers (RRID:SCR_015270) Copy
https://rise.bsc.gwu.edu/web/rise/home?p_p_id=58&p_p_lifecycle=0&_58_redirect=%2F
Consortium which includes 3 studies, each assessing the hypothesis that aggressive glucose lowering will lead to recovery of beta-cell function that will be sustained after treatment in those with prediabetes and early type 2 diabetes.
Proper citation: Restoring Insulin Secretion Consortium (RISE) (RRID:SCR_014383) Copy
https://repository.niddk.nih.gov/home/
NIDDK Central Repositories are two separate contract funded components that work together to store data and samples from significant, NIDDK funded studies. First component is Biorepository that gathers, stores, and distributes biological samples from studies. Biorepository works with investigators in new and ongoing studies as realtime storage facility for archival samples.Second component is Data Repository that gathers, stores and distributes incremental or finished datasets from NIDDK funded studies Data Repository helps active data coordinating centers prepare databases and incremental datasets for archiving and for carrying out restricted queries of stored databases. Data Repository serves as Data Coordinating Center and website manager for NIDDK Central Repositories website.
Proper citation: NIDDK Central Repository (RRID:SCR_006542) Copy
http://zhoulab.usc.edu/TopDom/
Software tool to identify Topological Domains, which are basic builiding blocks of genome structure. Detects topological domains in a linear time.
Proper citation: TopDom (RRID:SCR_016964) Copy
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