Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
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
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
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
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
Artificial Intelligence (AI)-powered website, which provides user-friendly open access analysis of extensive ChemPerturb-seq dataset.
Proper citation: ChemPerturbDB (RRID:SCR_027190) Copy
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
http://scgap.systemsbiology.net/project_description.php
A research organization which aims to conduct a variety of stem cell research projects. These projects include: to CD phenotype the human prostate and bladder using a confocal microscopy, to CD the phenotype of the mouse prostate and bladder, to profile samples of basal and stromal cells using uncultured cells, to confirm cell-type specific expression of genes that were identified by array analysis, and to create a database with the resulting database.
Proper citation: Stem Cell Genome Anatomy Projects (RRID:SCR_014517) Copy
https://www.niddk.nih.gov/research-funding/research-programs/kidney-disease-centers
Portal with detailed information about various research centers that focus on pediatric medicine and nephrology. These centers are funded by NIDDK.
Proper citation: Pediatric Centers of Excellence in Nephrology (RRID:SCR_015721) Copy
https://www.nature.com/articles/s41467-018-03367-w
Nanodroplet processing platform for deep and quantitative proteome profiling of 10 to 100 mammalian cells. It enhances efficiency and recovery of sample processing by downscaling processing volumes.
Proper citation: nanoPOTS (RRID:SCR_017129) Copy
https://repository.niddk.nih.gov/study/36
Data set and biosepecimens of a multi-center clinical trial to determine if treatment with beta-cell antigens can delay the onset of Type 1 Diabetes Mellitus (Type 1 DM) in non-diabetic relatives of persons with Type 1 DM. Insulin is a well characterized antigen specifically produced by beta-cells, and it was used for this purpose in the initial DPT-1 studies. The protocol for high risk subjects uses daily subcutaneous insulin injections and an annual course of intravenous insulin treatment, while the protocol for intermediate risk subjects uses daily doses of insulin administered orally. Neither injected nor oral insulin at the doses used were observed to delay or prevent diabetes, although further studies are needed to test whether oral insulin can delay diabetes in people in the intermediate risk group with high titers of insulin autoantibodies.
Proper citation: Diabetes Prevention Type 1 (RRID:SCR_001467) Copy
https://www.clinicaltrials.gov/study/NCT00360646
Prospective and retrospective registry of well-characterized cases of drug-induced liver disease. The goals of Network include the development of standardized procedures to identify and fully characterize bona fide cases of drug- and complementary and alternative medicines (CAM)-induced liver injury, and to conduct controlled, clinical studies that will include extensive collection of data, serum, DNA, and tissue specimens. Cases of liver injury due to herbal medications are also included. The network will also develop terminology and standardized definitions for DILI, and to develop causality assessment instruments that are sensitive, specific, and reproducible. DILIN is funded by a cooperative agreement and includes five clinical centers and a central data coordinating center. The research goals of DILIN are to: * Create a registry of carefully documented DILI cases * Identify clinical, immunological, and environmental risk factors for drug- and CAM-mediated hepatotoxicity * Create a bank of biological specimens consisting of DNA, plasma, and immortalized lymphocytes to facilitate detailed genetic analyses * Characterize the natural history of drug- and CAM-induced DILI for at least six months following enrollment * Develop the capability to recontact these individuals over an extended period of time so that additional studies exploring DILI mechanisms can be performed Two studies are being initiated by the network. In the Retrospective Study, the implicated drugs are restricted to isoniazid, phenytoin, combination clavulanic acid/amoxicillin, and valproic acid (Depakote), Nitrofurantoin, Trimethoprim-sulfamethoxazole, Minocycline, and Quinolone antibiotics. These drugs were chosen because they are frequently administered to patients not receiving other hepatotoxic drugs, making it easier to establish causality. Patients must be alive, and the date of onset of the DILI episode must be on or after January 1, 1994. In the Prospective Study, all incident cases of drug- and CAM-induced liver injury are being considered. Initial presentation to a healthcare professional must be within the previous six months. A detailed medication history of the implicated DILI drug together with all prescription, OTC, and herbal medications is being recorded. Liver and serological tests are being performed to characterize the injury and to exclude competing causes of liver injury. A blood sample is also being drawn for plasma storage and DNA isolation. These cases will be followed longitudinally to characterize the long-term effects of the DILI episode. For both studies, documented, clinically significant DILI must be recorded in the patient's medical charts so that a causal determination can be made. Patients will be excluded if they are unwilling or unable to provide a blood sample or participate in the genetics component. Children under two years of age at the time of enrollment are excluded due to blood-volume requirements. If you have patients who are eligible to participate in either study, please contact one the DILIN clinical sites. As a general policy, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) invites investigator-initiated research project applications for ancillary studies to ongoing, large-scale clinical trials, epidemiological studies, and disease databases supported by the Institute. These studies are focused on a wide range of diseases and conditions including diabetes, obesity, acute and chronic liver disease, chronic kidney disease, and benign prostatic hyperplasia, among others.
Proper citation: Drug-Induced Liver Injury Network (RRID:SCR_001524) Copy
http://www.prostatitis.org/symptomindex.html
Questionnaire developed by physicians in NIDDK's Chronic Prostatitis Collaborative Research Network that can help physicians to accurately measure the severity of prostatitis symptoms and their impact on a patient's lifestyle. The CPSI questionnaire assesses pain, urination, and the effect of chronic prostatitis on daily activities. With this information, researchers and physicians can reliably evaluate whether potential treatments are working. The questionnaire was originally published in the Journal of Urology in August 1999 (Vol. 162, pages 369-375). It is available as a PDF document in English, Spanish, German and Korean.
Proper citation: NIH Chronic Prostatitis Symptom Index (RRID:SCR_001482) Copy
Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children.
Proper citation: Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) Copy
https://www.medibeacon.com/science/preclinical/
Transdermal Glomerular Filtration Rate monitor used to assess renal function in mouse and rat models of acute kidney injury and chronic kidney disease.
Proper citation: MediBeacon: Transdermal GFR Monitor (RRID:SCR_024533) Copy
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
http://www.med.unc.edu/cgibd/cores/gnotobiotic
Core facility that supports animal model and basic research projects of CGIBD investigators. Investigators use this resource to examine physiologic and pathophysiologic differences in germ-free, gnotobiotic, and specific pathogen free colonized mice of various genetic backgrounds.
Proper citation: University of North Carolina Center for Gastrointestinal Biology and Disease Gnotobiotic Core (RRID:SCR_015615) Copy
http://www.med.upenn.edu/genetics/tcmf/
Core facility that provides a centralized service to efficiently produce genetically altered mice for basic research, resulting in reduction in effort and cost to participating investigators.
Proper citation: University of Pennsylvania Center for Molecular Studies in Digestive and Liver Diseases Genetically-Modified Mouse Core (RRID:SCR_015622) Copy
https://github.com/compbiolabucf/TEDDY
Software package to impute gene expression for all participants, whether they have partially or completely missing gene expression.
Proper citation: Teddy study IA prediction (RRID:SCR_023303) Copy
https://psbweb05.psb.ugent.be/conet/microbialnetworks/spieceasi.php
Software R package estimates inverse covariance matrix from sequencing data.Statistical method for inference of microbial ecological networks from amplicon sequencing datasets.
Proper citation: Sparse Inverse Covariance Estimation for Ecological Association Inference (RRID:SCR_022646) Copy
A software program that allows users to visualize and interpret human metabolim and expression profiling data by providing users with a bioinformatics framework. Its features include bulding and analyzing networks of genes and compounds, identifying enriched pathways from expression profiling data, and visualizing changes in metabolite data.
Proper citation: Metscape (RRID:SCR_014687) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
