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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

https://aireadi.org

Multidisciplinary data generation project which aims to create and share multimodal dataset optimized for artificial intelligence research in type 2 diabetes. At each release of the AI-READI dataset, two sets will be made available: public access and controlled access set. The public set will be stripped of Protected Health Information (PHI) as well as information related to the sex and race/ethnicity of the participants.

Proper citation: AI-READI (RRID:SCR_027031) Copy   

•   Source: SciCrunch Registry

https://github.com/Danko-Lab/dREG

Software tool for detecting regulatory elements using GRO-seq and PRO-seq.

Proper citation: dREG (RRID:SCR_027012) Copy   

•   Source: SciCrunch Registry

https://github.com/aametwally/Metabolic_Subphenotype_Predictor

Software repository contains code for Inference of T2D metabolic subphenotypes (MuscleIR, Beta-cell Function, Incretin Effect, Hepatic IR), Identification of dominant metabolic subphenotype, Feature extraction from glucose tiemseries, Extraction of reduced representation of glucose tiemseries,Visualization of metabolic phenotypes based on various glucose-related metrics,Concordance between CGM and Venous glucose values from at home and at clinical setting, Classification of metabolic subphenotypes.

Proper citation: Metabolic Subphenotype Predictor (RRID:SCR_027192) Copy   

•   Source: SciCrunch Registry

http://www.chemperturbdb.com

Artificial Intelligence (AI)-powered website, which provides user-friendly open access analysis of extensive ChemPerturb-seq dataset.

Proper citation: ChemPerturbDB (RRID:SCR_027190) Copy   

•   Source: SciCrunch Registry

https://github.com/SciCrunch/Antibody-Watch

Text mining antibody specificity from literature. Helps researchers identify potential problems with antibody specificity. By mining the scientific literature and linking findings to Research Resource Identifiers (RRIDs), it provides alerts on antibodies that may yield unreliable results, supporting reproducibility in biomedical research.

Proper citation: Antibody Watch (RRID:SCR_027424) Copy   

•   Source: SciCrunch Registry

http://nrresource.org

Collection of individual databases on members of the steroid and thyroid hormone receptor superfamily. Although the databases are located on different servers and are managed individually, they each form a node of the NRR. The NRR itself integrates the separate databases and allows an interactive forum for the dissemination of information about the superfamily. NRR Components: Androgen receptor, Estrogen receptor, Glucocorticoid receptor, Peroxisome proliferator, Steroid receptor protein, Thyroid receptor, Vitamin D receptor.

Proper citation: Nuclear Receptor Resource (RRID:SCR_003285) Copy   

•   Source: SciCrunch Registry

http://c3nproject.org/

Project designing, prototyping, optimizing, and evaluating a learning health system to improve clinical practice, patient self-management, and disease outcomes of patients with chronic illness. This open, peer production system combines the collective input of patients, clinicians and researchers. It combines large clinical data registries with patient entered data and makes them accessible and interactive. A platform allows researchers to design, test and implement new knowledge and innovations in patient care. To test their platform approach, C3N is working on a model of treating children with Inflammatory Bowel Disease using the ImproveCareNow Network of pediatric clinics. Following this demonstration phase, the goal is to apply the social, scientific and technical platform to transform the care of a variety of chronic illnesses. The C3N effort has the following goals: # Deploy and optimize an integrated set of engagement tools to make it easier for patients and care providers to collect and use the right information during the clinical encounter and in between visits. # Prototype novel interventions to re-design care delivery by promoting the development of tools for real-time and dynamic population management, "just-in time" scheduling of visits, virtual clinic visits, and measuring the impact of these interventions on health, care, and cost. # Pilot and deploy patient-focused technology to improve the flow of data between patients, clinicians and scientists to enable faster learning and improvement.

Proper citation: Collaborative Chronic Care Network (RRID:SCR_003708) Copy   

•   Source: SciCrunch Registry

http://jdrfconsortium.jaeb.org/

Consortium aiming to accelerate the development of systems for automated control of blood glucose in patients with diabetes. Consortium investigators seek to research and develop strategies, which can be commercialized, that will confer the long-term benefits of improved glycemic control by combining novel automated control algorithms and hormone therapies with continuous glucose monitors and pump devices. The field of closed-loop artificial pancreas research requires expert diabetologists partnering with expert mathematicians and engineers. Consortium investigators include endocrinologists and control theorists at research institutions in the US and in Europe. Many of the diabetes device manufacturers have also participated, providing pumps and sensors with enhanced capabilities that allow for closed-loop experiments to be performed. The goals of the consortium include: * Design, optimization, and clinical testing of multiple algorithmic approaches to closed-loop control * An in silico simulation platform, accepted by the FDA, for validating candidate closed-loop control algorithms in place of animal trials * Reusable templates for constructing the Investigational Device Exemption regulatory documents that must be approved by the FDA prior to any in-clinic, computer-assisted, closed-loop control research involving people * A modular software platform-the Artificial Pancreas System-with a protocol-independent user interface and hooks to incorporate an arbitrary control algorithm and control various continuous glucose monitors and pump devices * A secure consortium Web site with a central repository for experimental data and interfaces to submit candidate control algorithms for centralized validation and to upload or download clinical data sets * the first outpatient studies of an overnight controller * the first outpatient studies of a hypoglycemia minimization strategy * the development and testing of a modular treat-to-range closed-loop approach * multiple studies of dual hormone (insulin and glucagon) devices and a means to improve insulin kinetics Ongoing and recently completed in-clinic studies at the end of 2011 include investigations into hypoglycemia prediction and avoidance as well as fully-automated closed-loop control investigations using MPC and PID/PD-based algorithms. The most recent developments include the first-ever feasibility trials of portable, outpatient-based closed-loop control systems.

Proper citation: JDRF Artificial Pancreas Project Consortium (RRID:SCR_004010) Copy   

•   Source: SciCrunch Registry

http://norccentral.org

Portal to research centers and core facilities specifically support obesity research and better understand the relationship between health and nutrition.

Proper citation: Nutrition and Obesity Research Centers (RRID:SCR_004131) Copy   

•   Source: SciCrunch Registry

http://www.ndriresource.org/NDRI_Initiatives/HBDI/36/

Database of medical history and genealogical data on over 6700 families who are affected by type 1 diabetes and a repository of DNA and immortalized cell lines collected from 500 families. This database and repository was originally created to help researchers uncover the genetic causes of type 1 diabetes but today, it is also used by researchers who study type 2 diabetes, diabetic complications, autoimmune diseases, kidney disease, and other disorders. The following resources and services are available to researchers through HBDI: * International Type 1 Diabetes Database: This database includes more than 6700 families with diabetes, related complications and other genetic diseases. There are extensive genealogical and medical histories for more than 90,000 individuals. NDRI conducts searches of the database for approved research requests. * HBDI Catalog: The catalog contains 503 family pedigrees with associated cell lines, DNA, and serum for research. Also available are HLA-typing and auto-antibody test results for diabetes families in the catalog. * HBDI Repository: The HBDI repository contains cell lines, DNA, and HLA typing information from 480 families, and frozen buffy coats from 23 families, all with Type 1 diabetes. They have recently expanded the repository to include specimens from individuals with rare diseases. * Customized Collections: NDRI will collect data from patients and physicians, conduct phone interviews and collect blood and other specimens for research on request., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Human Biological Data Interchange (RRID:SCR_004591) Copy   

•   Source: SciCrunch Registry

http://www.diabetes.niddk.nih.gov/

Information dissemination service of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) established to increase knowledge and understanding about diabetes among patients, health care professionals, and the general public: online, in booklets and fact sheets, by email, and over the phone. To carry out this mission, NDIC works closely with NIDDK''''s Diabetes Research and Training Centers; the National Diabetes Education Program (NDEP); professional, patient, and voluntary associations; Government agencies; and State health departments to identify and respond to informational needs about diabetes and its management. NDIC provides the following informational products and services: * Response to inquiries about diabetes, ranging from information about available patient and professional education materials to statistical data. By phone (8:30 a.m. to 5 p.m. eastern time, M-F), fax, mail, and email. * Publications about diabetes, provided free of copyright, in varying reading levels. Available online or as booklets and brochures. NDIC also sends publications to health fairs and community events. * Referrals to health professionals through the National Library of Medicine''''s MEDLINEplus includes a consumer-friendly listing of organizations that will assist you in your search for physicians and other health professionals. * Exhibits at professional meetings specific to diabetes, as well as cross-cutting professional meetings. NDIC exhibits at 12 professional meetings, each year, including American Diabetes Association Postgraduate Course, American College of Physicians, CDC Diabetes Translation Conference, American Academy of Physician Assistants, American Diabetes Association, American Association of Diabetes Educators, and American Dietetic Association.

Proper citation: National Diabetes Information Clearinghouse (RRID:SCR_006702) Copy   

•   Source: SciCrunch Registry

http://www.endocrine.niddk.nih.gov/

Information dissemination service of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) providing information about endocrine and metabolic diseases in easy-to-understand language: online, in booklets and fact sheets, by email, and over the phone to patients, health professionals and the public. The NEMDIS provides the following informational products and services: * Response to inquiries about endocrine and metabolic diseases, ranging from information about available patient and professional education materials to referrals to patient support organizations. Assistance is available by phone (8:30 a.m. to 5 p.m. eastern time, M-F), fax, mail, and email. * Publications about endocrine and metabolic diseases, provided free of copyright, in varying reading levels. Available online or in hard copy. NEMDIS also sends publications to health fairs and community events. * Referrals to health professionals through the National Library of Medicine''''s MEDLINEplus, which includes a consumer-friendly listing of organizations to assist in the search for physicians and other health professionals.

Proper citation: National Endocrine and Metabolic Diseases Information Service (RRID:SCR_006681) Copy   

•   Source: SciCrunch Registry

https://jhuccs1.us/gpcrc/

Perform clinical, epidemiological, and therapeutic research in gastroparesis and provide an infrastructure that can rapidly and efficiently design and conduct clinical trials for effective medical, surgical, or other interventions to improve treatment of patients with gastroparesis. The GpCRC studies comprise well characterized individuals with diabetic, surgical, and idiopathic gastroparesis.

Proper citation: Gastroparesis Clinical Research Consortium (RRID:SCR_006673) Copy   

•   Source: SciCrunch Registry

http://www.hematologic.niddk.nih.gov/

Information dissemination service of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) providing information about certain hematologic diseases in easy-to-understand language: online, in booklets and fact sheets, by email, and over the phone to patients, health professionals and the public. The NHDIS provides the following informational products and services: * Response to inquiries about hematologic diseases, ranging from information about available patient and professional education materials to referrals to patient support organizations. Assistance is available by phone (8:30 a.m. to 5 p.m. eastern time, M-F), fax, mail, and email. * Publications about hematologic diseases, provided free of copyright, in varying reading levels. Available online or in hard copy. NHDIS also sends publications to health fairs and community events. * Referrals to health professionals through the National Library of Medicine''''s MEDLINEplus, which includes a consumer-friendly listing of organizations to assist in the search for physicians and other health professionals.

Proper citation: National Hematologic Diseases Information Service (RRID:SCR_006817) Copy   

•   Source: SciCrunch Registry

http://archives.niddk.nih.gov/patient/aask/aask.aspx

Clinical trial investigating whether a specific class of antihypertensive drugs (beta-adrenergic blockers, calcium channel blockers, or angiotensin converting enzyme inhibitors) and/or the level of blood pressure would influence progression of hypertensive kidney disease in African Americans. The initiative consisting of 21 clinical centers and a data-coordinating center is followed by a Continuation of AASK Cohort Study to investigate the environmental, socio-economic, genetic, physiologic, and other co-morbid factors that influence progression of kidney disease in a well-characterized cohort of African Americans with hypertensive kidney disease. Only patients who were previously in the randomized trial are eligible for the cohort study. A significant discovery was made in the treatment strategy for slowing kidney disease caused by hypertension. Angiotensin-converting enzyme (ACE) inhibitors, compared with calcium channel blockers, were found to slow kidney disease progression by 36 percent, and they drastically reduced the risk of kidney failure by 48 percent in patients who had at least one gram of protein in the urine, a sign of kidney failure. ACE inhibitors have been the preferred treatment for hypertension caused by diabetes since 1994; however, calcium channel blockers have been particularly effective in controlling blood pressure in African Americans. The AASK study now recommends ACE inhibitors to protect the kidneys from the damaging effects of hypertension. The Continuation of AASK Cohort Study will be followed at the clinical centers. The patients will be provided with the usual clinical care given to all such patients at the respective centers. Baseline demographic information, selected laboratory tests, and other studies are being obtained at the initiation of the Continuation Study. The patients will be seen quarterly at the centers, and some selected studies done at these visits. Samples will be obtained and stored for additional studies and analyses at a later date.

Proper citation: AASK Clinical Trial and Cohort Study (RRID:SCR_006985) Copy   

•   Source: SciCrunch Registry

http://ailun.stanford.edu/

Re-annotated gene expression / proteomics data from GEO by relating all probe IDs to Entrez Gene IDs once every three months, enabling you to find data from GEO, and compare them from different platforms and species. Platform Annotations adds the latest annotations to any uploaded probe / gene ID list file. Platform Comparison compares any two platforms to find corresponding probes mapping to the same gene. Cross-species mapping maps platform annotations to other species. Gene Search finds deposited platforms and samples in GEO that contain a list of genes. GPL ID Search finds the GPL ID (GEO platform ID) for your array. You can also download the latest annotations files for all arrays and their comprehensive universal gene identifier table, which relates all types of gene / protein / clone identifiers to Entrez Gene IDs for all species. Note: The database was last updated on 4/30/2011. They have successfully mapped 54932732 individual probes from 385099 GEO samples measuring 3519 GEO platforms across 217 species.

Proper citation: Array Information Library Universal Navigator (RRID:SCR_006967) Copy   

•   Source: SciCrunch Registry

https://joslinresearch.org

Diabetes research center which provides patient care and performs diabetes research. Its primary aim is to provide a facilitating framework for conducting multi-disciplinary basic and clinical research and to encourage the scientific development of young investigators.

Proper citation: Joslin Diabetes Center (RRID:SCR_009019) Copy   

•   Source: SciCrunch Registry

http://oligogenome.stanford.edu/

The Stanford Human OligoGenome Project hosts a database of capture oligonucleotides for conducting high-throughput targeted resequencing of the human genome. This set of capture oligonucleotides covers over 92% of the human genome for build 37 / hg19 and over 99% of the coding regions defined by the Consensus Coding Sequence (CCDS). The capture reaction uses a highly multiplexed approach for selectively circularizing and capturing multiple genomic regions using the in-solution method developed in Natsoulis et al, PLoS One 2011. Combined pools of capture oligonucleotides selectively circularize the genomic DNA target, followed by specific PCR amplification of regions of interest using a universal primer pair common to all of the capture oligonucleotides. Unlike multiplexed PCR methods, selective genomic circularization is capable of efficiently amplifying hundreds of genomic regions simultaneously in multiplex without requiring extensive PCR optimization or producing unwanted side reaction products. Benefits of the selective genomic circularization method are the relative robustness of the technique and low costs of synthesizing standard capture oligonucleotide for selecting genomic targets.

Proper citation: OligoGenome (RRID:SCR_006025) Copy   

•   Source: SciCrunch Registry

http://archives.niddk.nih.gov/patient/bach/bach.aspx

An epidemiologic study being conducted in the Boston metropolitan area to examine the prevalence of symptoms for health problems such as interstitial cystitis, urinary incontinence, benign prostatic hyperplasia, prostatitis, hypogonadism, and sexual function. Of interest to the survey are health disparities and inequalities. BACH is especially concerned with lack of adequate health insurance, lack of access to adequate medical care, and how these problems influence patterns of disease. The study also focuses on social determinants of disease that are over and above the contribution of individual characteristics and risk factors. To achieve a randomly sampled population, four neighborhoods were divided into 12 strata and from them investigators selected census blocks. Households were then randomly selected from the census blocks and sampled to identify eligible study participants. Investigators conduct a two-hour, in-home, bilingual field interview of all eligible participants, looking at symptoms and asking questions about lifestyle, physical activity, alcohol use, nutrition, demographics, and morbidity. They also conduct a detailed inventory of medications, both prescribed and over-the-counter, and take two non-fasting blood samples for hormone, cholesterol, and lipid levels that will be stored for future studies. By the time the study ends, approximately 6,000 men and women, ages 30 to 79, from four Boston area neighborhoods that have density levels proportionate with minority populations will have been interviewed in their homes. One third of the randomly sampled population will be African American; one third, Hispanic; and one third, Caucasian.

Proper citation: Boston Area Community Health Survey (RRID:SCR_007115) Copy   

•   Source: SciCrunch Registry