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Research center for hematology research. It provides services through four scientific core facilities: the Experimental Mouse Resources Core, the Optical Microscopy Services Core, the Angiogenesis Core, and the Flow Cytometry Core in addition to the Enrichment Program of the Center.
Proper citation: Indiana University Cooperative Center of Excellence in Hematology (RRID:SCR_015343) Copy
http://zfrhmaps.tch.harvard.edu/cemh/
Research center investigating molecular hematology through mouse and zebrafish models.
Proper citation: Boston Children's Hospital Center of Excellence in Molecular Hematology (RRID:SCR_015348) Copy
http://www.cumc.columbia.edu/derc/
Research center which provides research support for investigators pursuing research on diabetes and metabolic disorders.
Proper citation: Columbia Diabetes Research Center (RRID:SCR_015075) Copy
http://www.cfrc.pitt.edu/index.html
Research center whose goal is to understand and translate the basic mechanisms of cystic fibrosis. It uses the molecular and cell biology of CFTR, CFTR mutants, infection, and inflammation with the overall theme of translating preclinical science into clinical investigations.
Proper citation: Cystic Fibrosis Center University of Pittsburgh (RRID:SCR_015400) Copy
Center that includes over seventy investigators engaged in basic and translational research in diabetes and related metabolic disorders, and their complications. It contains four Research Cores that serve for innovative and translational research.
Proper citation: Indiana Diabetes Research Center (RRID:SCR_015080) Copy
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
https://www.sciencescott.com/pyminer
Software tool to automate cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine-paracrine signaling networks. Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.
Proper citation: PyMINEr (RRID:SCR_016990) 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
Ratings or validation data are available for this resource
https://www.zurich.ibm.com/cellcycletracer/
Software tool as supervised machine learning algorithm that classifies and sorts single cell mass cytometry data according to their cell cycle, which allows to correct for cell cycle state and cell volume heterogeneity. Reveals signaling relationships and cell heterogeneity that were otherwise masked. Computational method to quantify cell cycle and cell volume variability.
Proper citation: CellCycleTRACER (RRID:SCR_017128) Copy
https://github.com/epistasislab/hibachi
Software tool that creates data sets with particular characteristics. Method and open source software for simulating complex biological and biomedical data to aid in comparing and evaluating machine learning methods.
Proper citation: Heuristic Identification of Biological Architectures for simulating Complex Hierarchical Interactions (RRID:SCR_017140) Copy
https://generanger.maayanlab.cloud/gene/A2M?database=ARCHS4
Web server application that provides access to processed data about expression of human genes and proteins across human cell types, tissues, and cell lines from several atlases. Used to explore single gene expression across tissues and cell types.
Proper citation: GeneRanger (RRID:SCR_023622) Copy
https://targetranger.maayanlab.cloud/
Web server application that identifies targets from user inputted RNA-seq samples collected from cells we wish to target. By comparing inputted samples with processed RNA-seq and proteomics data from several atlases, TargetRanger identifies genes that are highly expressed in target cells while lowly expressed across normal human cell types, tissues, and cell lines.
Proper citation: TargetRanger (RRID:SCR_023621) 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
http://www.cscc.unc.edu/protect/
A study of how children newly diagnosed with ulcerative colitis (UC) respond to mesalamine and prednisone (corticosteroid), the standard initial therapies used to treat this disorder. Over a period of 5 years PROTECT will prospectively study the course of 430 children newly diagnosed with UC who are treated with standardized care. Biospecimens (blood, stool, colonic biopsy tissue) will be obtained and used to better understand the effects of genetics, mechanisms of inflammation, Vitamin D, and the bacteria contained in the stool (microbiome) on clinical outcomes.
Proper citation: Predicting Response to Standardized Pediatric Colitis Therapy (PROTECT) (RRID:SCR_014374) 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
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
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