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https://hirnetwork.org

Network helps to organize and support collaborative research related to loss of functional beta cell mass in Type 1 Diabetes (T1D). Project consists of four independent research initiatives: Consortium on Beta Cell Death and Survival (CBDS), Consortium on Human Islet Biomimetics (CHIB), Consortium on Modeling Autoimmune Interactions (CMAI), Consortium on Targeting and Regeneration (CTAR), and Human Pancreas Analysis Program (HPAP).

Proper citation: Human Islet Research Network (HIRN) (RRID:SCR_014393) Copy   

•   Source: SciCrunch Registry

https://cairibu.urology.wisc.edu/

Community of researchers studying benign urology diseases at U54 O’Brien Cooperative Research Centers, P20 Exploratory Centers, and K12 Career Development Programs funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), one of the institutes within the National Institutes of Health (NIH). CAIRIBU Centers and Programs are united around the overall objectives of improving our understanding of the mechanisms of urogenital diseases and developing clinical therapies for treating them by building collaborative and interactive research platforms that span the gamut from basic to translational to population research.

Proper citation: Collaborating for the Advancement of Interdisciplinary Research in Benign Urology (RRID:SCR_022876) Copy   

•   Source: SciCrunch Registry

http://cahub.cancer.gov/about/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. A national center for biospecimen science and standards to advance cancer research and treatment. It was created in response to the critical and growing need for high-quality, well-documented biospecimens for cancer research. The initiative builds on resources already developed by the NCI, including the Biospecimen Research Network and the NCI Best Practices for Biospecimen Resources, both of which were developed to address challenges around standardization of the collection and dissemination of quality biospecimens. caHUB will develop the infrastructure for collaborative biospecimen research and the production of evidence-based biospecimen standard operating procedures.

Proper citation: caHUB (RRID:SCR_009657) Copy   

•   Source: SciCrunch Registry

http://zfin.org

Model organism database that serves as central repository and web-based resource for zebrafish genetic, genomic, phenotypic and developmental data. Data represented are derived from three primary sources: curation of zebrafish publications, individual research laboratories and collaborations with bioinformatics organizations. Data formats include text, images and graphical representations.Serves as primary community database resource for laboratory use of zebrafish. Developed and supports integrated zebrafish genetic, genomic, developmental and physiological information and link this information extensively to corresponding data in other model organism and human databases.

Proper citation: Zebrafish Information Network (ZFIN) (RRID:SCR_002560) Copy   

•   Source: SciCrunch Registry

http://www.ndexbio.org/

Repository where scientists and organizations can share, store, manipulate, and publish biological network data. Users can also run their own copies of NDEx Server software in cases where stored networks must be kept in highly secure environment (such as for HIPAA compliance) or where high application load is incompatible with shared public resource. Open source software system that is part of Cytoscape family. Project of Cytoscape Consortium in conjunction with Ideker lab at UCSD School of Medicine. Public forum where biologists can exchange and publish computable network models in many types and formats. NDEx is based on REST web API which can be accessed by any application, including NDEx website and NDEx Cytoscape App. NDEx networks are assigned stable, globally unique URIs and so can be referenced by publications, by other networks, and by analytic applications.

Proper citation: Network Data Exchange (NDEx) (RRID:SCR_003943) Copy   

•   Source: SciCrunch Registry

http://string.embl.de/

Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)

Proper citation: STRING (RRID:SCR_005223) Copy   

•   Source: SciCrunch Registry

http://ods.od.nih.gov/Research/CARDS_Database.aspx

Database of federally funded research projects pertaining to dietary supplements. CARDS contains projects funded by the United States Department of Agriculture (USDA), the Department of Defense (DOD) and the Institutes and Centers (ICs) of the National Institutes of Health (NIH) beginning with fiscal year 1999, the first year that NIH ICs began reporting research related to dietary supplements. Projects funded by other Federal agencies will be added to CARDS as they become available. The Office of Dietary Supplements (ODS) will post notices on its website and listserv when CARDS updates are completed. Codes assigned to each research project allow the CARDS user to identify: * research related to specific dietary supplement ingredients; for example, vitamin E or St. John''''s wort * the type of study; for example, a Phase III study or an animal study * health outcomes or biological effects; for example, osteoporosis or antioxidant function * whether the research is directly related or indirectly related to dietary supplements. For example, a clinical trial comparing bone density in women given a daily calcium supplement versus a placebo would be classified as directly related to dietary supplements. A study examining the activation of steroid hormone receptors by supplemental vitamin D in cell culture would be classified as indirectly related to dietary supplements because the direct physiological or health effects of vitamin D supplementation are not being studied. A search of the CARDS database can be used to sort and tabulate information for a variety of purposes. For example, a researcher may want to know which ICs at the NIH fund research on herbal supplement ingredients. A consumer may want to know if the Federal government is supporting research on a popular dietary supplement ingredient such as vitamin C.

Proper citation: CARDS Database (RRID:SCR_009011) Copy   

•   Source: SciCrunch Registry

https://biolincc.nhlbi.nih.gov/home/

Repository that serves to coordinate searches across data and biospecimen collections from participants in numerous clinical trials and epidemiologic studies and to provide an electronic means for requests for additional information and the submission of requests for collections. The collections, comprising data from more than 80 trials or studies and millions of biospecimens, are available to qualified investigators under specific terms and conditions consistent with the informed consents provided by the individual study participants. Some datasets are presented with studies and supporting materials to facilitate their use in reuse and teaching. Datasets support basic research, clinical studies, observational studies, and demonstrations. Researchers wishing to apply to submit biospecimen collections to the NHLBI Biorepository for sharing with qualified investigators may also use this website to initiate that process.

Proper citation: Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC) (RRID:SCR_013142) Copy   

•   Source: SciCrunch Registry

http://golgi.ana.ed.ac.uk/kidhome.html

The Kidney Development Database was created to collect in one place the data from a large number of developmental studies that have a bearing on the study of kidney development. With its oldest parts dating back to 1993/4, it is, as far as we know, the earliest computer database in the field of vertebrate organogenesis. Data are displayed in tables, arranged according to a standard scheme of kidney development explained in the key. Many of the entries are derived from low-power in situs or published text-only descriptions, and should therefore be interpreted with mild caution.

Proper citation: Kidney Development Database (RRID:SCR_013374) Copy   

•   Source: SciCrunch Registry

http://cistrome.org/NR_Cistrome/Cistrome.html

A web-interface that enables users to access and download the processed ChIP chip/seq data of nuclear receptors, co-regulators and histone modifications. The web resources also includes processed differential expression data under ligand induction in conditions matched to ChIP_chip/seq data whenever possible. All the ChIP chip/seq peak regions are annotated with enriched HRE and co-regulator motifs. A list of predicted hormone response genes from integration of nuclear receptor ChIP chip/seq data and differential expression data is also readily available to the users.

Proper citation: Nuclear Receptor Cistrome (RRID:SCR_014515) Copy   

•   Source: SciCrunch Registry

https://gataca.cchmc.org/gataca/gudmap

A database which can be used to search for genes critical for a variety of Genito-Urinary system functions and diseases.

Proper citation: GATACA GUDMAP Gene Explorer (RRID:SCR_014518) Copy   

•   Source: SciCrunch Registry

https://www.nhlbi.nih.gov/research/resources/nhlbi-precision-medicine-initiative/topmed

Funding program for Precision Medicine genome sequencing from the National Institutes of Health, NHBLI.

Proper citation: Trans-Omics for Precision Medicine (TOPMed) Program (RRID:SCR_015677) Copy   

•   Source: SciCrunch Registry

http://www.med.unc.edu/microbiome

Core facility that provides the research community with the facilities and the expertise to characterize complex microbial communities from different environments.Services offered by the Core include metagenomics methods to determine the composition and function of microbial communities using amplicon, Whole Genome Shotgun (WGS) and RNA sequencing, and traditional and high-throughput quantitative (q)PCR.

Proper citation: University of North Carolina Center for Gastrointestinal Biology and Disease Microbiome Core (RRID:SCR_012644) Copy   

•   Source: SciCrunch Registry

https://einsteinmed.edu/centers/diabetes-research/human-Islet-and-adenovirus-core/

Core which provides methodologies, technology and infrastructure to support investigators in the use of human islets for research studies for the Einstein-Mount Sinai Diabetes Research Center. It isolates and prepares human and rodent islets/beta cells and cell lines for investigator-initiated research and generates specific viral vectors (adenovirus and lentivirus) for gene delivery of cDNAs and shRNAs of interest to beta cells and other islet cell types.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Human Islet and Adenovirus Core Facility (RRID:SCR_015066) Copy   

•   Source: SciCrunch Registry

https://einsteinmed.edu/research/shared-facilities/barc/

Core provides information and tools for Einstein and Montefiore investigators from initial study planning stage through analysis and data output. Facility services include: mass spectrometry analysis, including stable isotopes, as well as research-grade determination of lipids, and metabolic markers for human subjects and animal model projects; High-throughput robotics for semi-automated high-quality sample preparation and analysis by immunoassay and liquid chromatography–mass spectrometry (LC/MS); Support for novel developmental projects featuring applications of LC/MS and two-site bead-based assays; Research quality analysis of metabolites for human and animal samples using Olympus AU400 autoanalyzer; Advanced training in analytical chemistry.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Biomarker Analytic Research Core Facility (RRID:SCR_015067) Copy   

•   Source: SciCrunch Registry

https://www.derc.cuimc.columbia.edu/services/translational-biomarker-analytical-core

Core makes available to Diabetes Research Center investigators variety of high quality radio-immunoassay, ELISA, and other analytical methods, and facilitates access of DRC investigators to measurement of small molecules by targeted and untargeted metabolomics/lipidomics with the Irving Institute Biomarkers Core. TBAC also provides consultations and services for in vivo methods to measure insulin secretion and sensitivity.

Proper citation: Columbia Diabetes Research Center Translational Biomarker Analytical Core Facility (RRID:SCR_015077) Copy   

•   Source: SciCrunch Registry

http://www.einstein.yu.edu/centers/diabetes-research/diabetes.aspx?id=1566&ekmensel=15074e5e_4046_4048_28715_1

Core which uses stable isotope flux and metabolite profiling to help formulate and test hypotheses about the metabolic consequences of various changes in gene expression and protein function, in order to guide further integrative systems biology analyses of the underlying mechanisms in diabetes, insulin resistance, obesity, and diabetic complications.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Stable Isotope and Metabolomics Core Facility (RRID:SCR_015071) Copy   

•   Source: SciCrunch Registry

https://einsteinmed.edu/centers/diabetes-research/biomedical-cores/animal-physiology/

Core which assists with the in vivo assessment of glucose and fatty acid metabolism, insulin sensitivity and energy homeostasis in mice and rats. It provides tools to understand the behavior and physiology mediating the relationships among diabetes, nutrient sensing, obesity and diabetic cardiovascular complications in rodents.

Proper citation: Einstein-Mount Sinai Diabetes Research Center Animal Physiology Core Facility (RRID:SCR_015076) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 23,2024.Transgenic core which generates transgenic and gene knockout mouse models relevant to obesity, diabetes and nutrition research. It also provides consultation on all aspects of making transgenic and gene knockout mice.

Proper citation: Boston Area Diabetes Endocrinology Research Center Transgenic (RRID:SCR_015074) Copy   

•   Source: SciCrunch Registry

http://clinicaltrials.gov/show/NCT00143949

Randomized, multicenter, double-blind study to determine if renin angiotensin medications, either losartan (angiotensin II blocker) or enalapril (converting enzyme inhibitor), can prevent or delay the onset of diabetic kidney disease in patients with type 1 diabetic patients who do not have hypertension, diabetic nephropathy, or predictive levels of microalbuminuria. Two hundred eight five patients ages 16-61 with 2-20 yrs of Type 1 Diabetes Mellitus and no renal functional abnormalities were randomized into a parallel, double-blind, placebo-controlled study involving 3 groups (95 patients/group). Each group received an angiotensin-converting enzyme inhibitor (ACEI) (enalapril), or an angiotensin II receptor blocker (Losartan), or placebo. All patients had their usual Diabetes Mellitus (DM) management. Baseline studies included measures of glomerular filtration rate (GFR), urinary albumin excretion rate (UAE), blood pressure (BP), and a percutaneous renal biopsy. Patients were followed by quarterly measures of BP, HbA1C, UAE, and drug compliance. There were annual measures of GFR and a repeat renal biopsy after 5 yrs in the study. The main endpoint is kidney structural changes over time, especially mesangial fractional volume (v(Mes/glom)). Secondary endpoints will be other DN structural measures and measures of kidney function (UAE, GFR). These studies will determine whether rennin angiotensin system blockage in the early stages of DN can prevent the early kidney structural changes in this important disorder. Ancillary studies will evaluate the effects of treatment group on the development and progression of diabetic retinopathy and will develop predictors of study participants'''' compliance. Baseline, 2.5 and 5 year retinal fundus photographs in the RASS patients were obtained.

Proper citation: Renin Angiotensin System Study (RRID:SCR_013385) Copy   

•   Source: SciCrunch Registry