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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://hembase.niddk.nih.gov/

Database designed for web-based examination of the human erythroid transcriptome. The database is organized to provide a cytogenetic band position, a unique name as well as a concise annotation for each entry. Search queries may be performed by name, keyword or cytogenetic location. Search results are linked to primary sequence data and three major human genome browsers for access to information considered current at the time of each search. Hembase provides interested scientists and clinical hematologists with a genome-based approach toward the study of erythroid biology. Red blood cells in the circulation arise from hematopoietic stem cells that proliferate as erythroid progenitors and differentiate into erythroid precursor cells in response to the hormone erythropoietin. Messenger RNA was isolated from those cells and used to generate gene libraries. Sequencing several thousand expressed sequence tags (EST) from those libraries was then performed. Those EST and sequences encoding several hundred additional genes with known expression in erythroid cells are compiled here as a database of human erythroid gene activity. The database is organized and linked according to the location of these sequences within the human genome., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: HemBase (RRID:SCR_002880) Copy   

•   Source: SciCrunch Registry

http://www.diabetesgenome.org

Produce resources to unravel the interface between insulin action, insulin resistance and the genetics of type 2 diabetes including an annotated public database, standardized protocols for gene expression and proteomic analysis, and ultimately diabetes-specific and insulin action-specific DNA chips for investigators in the field. The project aims to identify the sets of the genes involved in insulin action and the predisposition to type 2 diabetes, as well as the secondary changes in gene expression that occur in response to the metabolic abnormalities present in diabetes. There are five major and one pilot project involving human and rodent tissues that are designed to: * Create a database of the genes expressed in insulin-responsive tissues, as well as accessible tissues, that are regulated by insulin, insulin resistance and diabetes. * Assess levels and patterns of gene expression in each tissue before and after insulin stimulation in normal and genetically-modified rodents; normal, insulin resistant and diabetic humans, and in cultured and freshly isolated cell models. * Correlate the level and patterns of expression at the mRNA and/or protein level with the genetic and metabolic phenotype of the animal or cell. * Generate genomic sequence from a panel of humans with type 2 diabetes focusing on the genes most highly regulated by insulin and diabetes to determine the range of sequence and expression variation in these genes and the proteins they encode, which might affect the risk of diabetes or insulin resistance. The DGAP project will define: * the normal anatomy of gene expression, i.e. basal levels of expression and response to insulin. * the morbid anatomy of gene expression, i.e., the impact of diabetes on expression patterns and the insulin response. * the extent to which genetic variability might contribute to the alterations in expression or to diabetes itself.

Proper citation: DGAP (RRID:SCR_003036) Copy   

•   Source: SciCrunch Registry

http://trans.nih.gov/bmap/resources/resources.htm

As part of BMAP gene discovery efforts, mouse brain cDNA libraries and Expressed Sequence Tags (ESTs) have been generated. Through this project a BMAP mouse brain UniGene set consisting of over 24,000 non-redundant members of unique clusters has been developed from EST sequencing of more than 50,000 cDNA clones from 10 regions of adult mouse brain, spinal cord, and retina (http://brainEST.eng.uiowa.edu/). In 2001, NIMH along with NICHD, NIDDK, and NIDA, awarded a contract to the University of Iowa ( M.B. Soares, PI) to isolate full-length cDNA clones corresponding to genes expressed in the developing mouse nervous system and determine their full-coding sequences. The BMAP mouse brain EST sequences can be accessed at NCBI's dbEST database (http://www.ncbi.nlm.nih.gov/dbEST/). Arrayed sets of BMAP mouse brain UniGenes and cDNA libraries, and individual BMAP cDNA clones can be purchased from Open Biosystems, Huntsville, AL (http://www.openbiosystems.com

Proper citation: BMAP cDNA Resources (RRID:SCR_002973) 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://dknet.org/

The NIDDK Information Network (dkNET) is a community-based network to serve needs of basic and clinical investigators that includes large pools of data and research resources relevant to mission of National Institute of Diabetes and Digestive and Kidney Disease.

Proper citation: NIDDK Information Network (dkNET) (RRID:SCR_001606) Copy   

•   Source: SciCrunch Registry

https://edic.bsc.gwu.edu

Publications from a multi-center, longitudinal, observational study examining the risk factors associated with the long-term complications of type 1 diabetes. The study began in 1994 and follows the 1441 participants previously enrolled in the Diabetes Control and Complications Trial (DCCT), http://diabetes.niddk.nih.gov/dm/pubs/control/index.aspx. The primary aim of EDIC is to examine the long-term effects of conventional vs. intensive diabetes treatment received during the DCCT on the subsequent development and progression of microvascular, neuropathic and cardiovascular complications. This involves studying the influence of genetic factors and other factors such as HbA1c, blood pressure, lipid levels, and treatment modalities on the development and progression of these complications. Annual or biennial measurements (using DCCT methods, standardized protocols and central laboratories) of vascular events, albumin excretion, GFR, ECG, ankle-brachial BP index, serum lipids and HbA1c allows the following analyses: 1) continuation of intention-to-treat analyses to determine long-term effects of prior separation of glycemic levels; 2) risk factors for macrovascular outcomes; 3) correlation of progression of micro- and macrovascular outcomes. The current updated version of the EDIC Protocol is available for download. EDIC is made up of 28 clinical centers, one data coordinating center and one clinical coordinating center.

Proper citation: Epidemiology of Diabetes Interventions and Complications (RRID:SCR_001468) Copy   

•   Source: SciCrunch Registry

https://clinicaltrials.gov/study/NCT01619475

Study consisting of nine liver transplant centers with expertise in adult living-donor liver transplantation (LDLT) and a central data coordinating center to provide valuable information on the outcomes of adult to adult living donor liver transplantation (AALDLT) to aid decisions made by physicians, patients, and potential donors. The study will establish and maintain the infrastructure required to accrue and follow sufficient numbers of patients being considered for and undergoing AALDLT to provide generalizable data from adequately powered studies. The major aims of A2ALL are as follows: * Quantify the impact of choosing LDLT on the candidate for transplantation * Characterize the difference between LDLT and deceased donor liver transplant (DDLT) in terms of post-transplant outcomes, including patient and graft survival, surgical morbidity, and resource utilization on the recipient of a transplant * Determine the short- and long-term health and quality of life (QOL) impact of donation, including (a) morbidity after liver donation and (b) long-term health-related QOL of donors. * Standardize and assess the role of informed consent in affecting the decision to donate and satisfaction after living liver donation * Other aims include comparison of the severity of recurrence of hepatocellular carcinoma for DDLT versus LDLT, the systematic characterization of liver regeneration and function in donors and recipients, the evaluation of the differences in the immune response to LDLT versus DDLT, and the establishment of a robust data and sample repository on liver transplantation that may be used to study clinical and biological questions as new technologies and resources become available. Patients enrolled in the study will be followed and managed in a standardized fashion.

Proper citation: Adult to Adult Living Donor Liver Transplantation Cohort Study (RRID:SCR_001494) Copy   

•   Source: SciCrunch Registry

https://repository.niddk.nih.gov/study/119

Multi-center randomized clinical trial to determine if the addition of behavioral treatment to drug therapy for the treatment of urge incontinence will make it possible to discontinue the drug and still maintain a reduced number of accidents. The most popular treatments for urge incontinence are drug therapy and behavior therapy, each with its own limitations. In this clinical study, the Urinary Incontinence Treatment Network (UITN) aims to determine differences with the addition of behavioral treatment to drug therapy alone.

Proper citation: Behavior Enhances Drug Reduction of Incontinence (RRID:SCR_001495) Copy   

•   Source: SciCrunch Registry

http://pathology-anatomy.missouri.edu/research/diabetes.html

Standardization of c-peptide by calibrating C-peptide measurement to a reference method can increase comparability between laboratories. The C-peptide standardization program is supported to establish reliability in results and facilitate the conduct of international clinical trials. For c-peptide, purified or processed material shows significant matrix effects and cannot be used for calibration. The C-peptide program has evaluated the use of single donor and pooled specimens for use by manufacturers in the calibration of these assays and determined that this strategy will reduce C-peptide variability among different assay methods. The standardization process through manufacturer re-calibration is ongoing.

Proper citation: Standardization of C-peptide measurements (RRID:SCR_001499) Copy   

•   Source: SciCrunch Registry

http://www.healthystudy.org/

Primary prevention trial conducted in 42 middle schools at 7 locations across the US to impact risk factors for type 2 diabetes in adolescents. Students were recruited at the start of 6th grade (fall 2006) and followed to the end of 8th grade (spring 2009). Half of the schools were randomized to receive an intervention that integrated four components: the school nutrition environment, physical education class activities, behavior change initiatives, and educational and promotional communications activities.

Proper citation: HEALTHY study (RRID:SCR_001530) 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://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://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