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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
One of sixteen research centers established by the National Institute of Diabetes and Digestive and Kidney Diseases that fosters research and training in the areas of diabetes and related endocrine and metabolic disorders.
Proper citation: University of California San Francisco Diabetes Research Center (RRID:SCR_015102) Copy
Center which promotes multidisciplinary research in diabetes through raising awareness and interest in fundamental and clinical research, enhancing diabetes research, education and training opportunities, and providing core services that leverage funding and unique expertise.
Proper citation: University of Chicago Diabetes Research and Training Center (RRID:SCR_015114) Copy
Center dedicated to extending prevention and management research of proven efficacy to both clinical and community settings, with the goal of improving the diabetes-related health of Native Americans. The CAIANDTR provides core services and consultation locally, regionally, and nationally in areas relevant to NIDDK's translational research agenda.
Proper citation: Center for American Indian and Alaska Native Diabetes Translational Research (RRID:SCR_015146) Copy
http://www.med.upenn.edu/idom/
Diabetes research center created to address the prevalence of diabetes and obesity. The goal of the center is to support and develop successful approaches to the prevention, treatment, and cure of diabetes mellitus and obesity.
Proper citation: Penn Diabetes Research Center (RRID:SCR_015123) Copy
http://diabetesresearchcenter.dom.wustl.edu
University-affiliated center established to support and enhance research in diabetes and related metabolic diseases. Its long-term goal is the development of new preventive strategies and therapies aimed at improving the lives of Americans with or at risk for diabetes.
Proper citation: Washington University School of Medicine Diabetes Research Center (RRID:SCR_015138) Copy
https://github.com/macs3-project/MACS
Software Python package for identifying transcript factor binding sites. Used to evaluate significance of enriched ChIP regions. Improves spatial resolution of binding sites through combining information of both sequencing tag position and orientation. Can be used for ChIP-Seq data alone, or with control sample with increase of specificity.
Proper citation: MACS (RRID:SCR_013291) Copy
http://www.metabolomicsworkbench.org
Repository for metabolomics data and metadata which provides analysis tools and access to various resources. NIH grantees may upload data and general users can search metabolomics database. Provides protocols for sample preparation and analysis, information about NIH Metabolomics Program, data sharing guidelines, funding opportunities, services offered by its Regional Comprehensive Metabolomics Resource Cores (RCMRC)s, and training workshops.
Proper citation: Metabolomics Workbench (RRID:SCR_013794) Copy
Biorepository of clinical, metabolomic, and microbiome samples from adolescents with obesity as they undergo lifestyle modification.Biorepository is available as shared resource.
Proper citation: Pediatric Obesity Microbiome and Metabolism Study (RRID:SCR_021071) Copy
https://github.com/FunctionalUrology/SpheroScan
Software tool for analyzing images of spheroids. Designed to streamline process of spheroid segmentation, area calculation, and downstream analysis of spheroid image data, and can help to standardize and accelerate analysis of spheroid assay results.
Proper citation: SpheroScan (RRID:SCR_023886) Copy
https://github.com/kwanjeeraw/metabox
Software R toolbox for thorough metabolomic data analysis, integration and interpretation. Metabox 2.0 is updated version of R package Metabox and includes several methods for data processing, statistical analysis, biomarker analysis, integrative analysis and data interpretation.
Proper citation: Metabox (RRID:SCR_024443) Copy
http://www.childrennetwork.org/
Database of clinical information and serum and tissue samples from children across the United States and Canada with Biliary Atresia, Idiopathic Neonatal Hepatitis, Cystic Fibrosis Liver Disease, Alagille Syndrome, Alpha-1 Antitrypsin Deficiency, Bile Acid Synthesis Defects, Mitochondrial Hepatopathies, and Progressive Familial Intrahepatic Cholestasis in order to facilitate research and to perform clinical, epidemiological, and therapeutic trials in these important pediatric liver diseases. Three NIDDK-funded consortia, Biliary Atresia Research Consortium (BARC), Cholestatic Liver Disease Consortium (CLiC), and the Cystic Fibrosis Liver Disease (CFLD) Network were consolidated to form ChiLDREN. Most of the ChiLDREN studies are natural history studies aimed at acquiring information and data that will provide a better understanding of these rare conditions. Participants will be asked to allow study personnel to obtain information from medical records and an interview, and to collect blood, urine, and tissue samples when clinically indicated, in order to understand the causes of these diseases and to improve the diagnosis and treatment of children with these diseases. All of the information obtained in these studies is confidential and no names or identifying information are used in the study.
Proper citation: Childhood Liver Disease Research and Education Network (RRID:SCR_001497) Copy
http://www.scandb.org/newinterface/about.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SCAN (RRID:SCR_005185) 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://masst.gnps2.org/microbemasst/
Web taxonomically informed mass spectrometry search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging database of over 60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns.
Proper citation: microbeMASST (RRID:SCR_024713) 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
https://www.sanger.ac.uk/collaboration/sequencing-idd-regions-nod-mouse-genome/
Genetic variations associated with type 1 diabetes identified by sequencing regions of the non-obese diabetic (NOD) mouse genome and comparing them with the same areas of a diabetes-resistant C57BL/6J reference mouse allowing identification of single nucleotide polymorphisms (SNPs) or other genomic variations putatively associated with diabetes in mice. Finished clones from the targeted insulin-dependent diabetes (Idd) candidate regions are displayed in the NOD clone sequence section of the website, where they can be downloaded either as individual clone sequences or larger contigs that make up the accession golden path (AGP). All sequences are publicly available via the International Nucleotide Sequence Database Collaboration. Two NOD mouse BAC libraries were constructed and the BAC ends sequenced. Clones from the DIL NOD BAC library constructed by RIKEN Genomic Sciences Centre (Japan) in conjunction with the Diabetes and Inflammation Laboratory (DIL) (University of Cambridge) from the NOD/MrkTac mouse strain are designated DIL. Clones from the CHORI-29 NOD BAC library constructed by Pieter de Jong (Children's Hospital, Oakland, California, USA) from the NOD/ShiLtJ mouse strain are designated CHORI-29. All NOD mouse BAC end-sequences have been submitted to the International Nucleotide Sequence Database Consortium (INSDC), deposited in the NCBI trace archive. They have generated a clone map from these two libraries by mapping the BAC end-sequences to the latest assembly of the C57BL/6J mouse reference genome sequence. These BAC end-sequence alignments can then be visualized in the Ensembl mouse genome browser where the alignments of both NOD BAC libraries can be accessed through the Distributed Annotation System (DAS). The Mouse Genomes Project has used the Illumina platform to sequence the entire NOD/ShiLtJ genome and this should help to position unaligned BAC end-sequences to novel non-reference regions of the NOD genome. Further information about the BAC end-sequences, such as their alignment, variation data and Ensembl gene coverage, can be obtained from the NOD mouse ftp site.
Proper citation: Sequencing of Idd regions in the NOD mouse genome (RRID:SCR_001483) 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
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