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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.
http://www.med.upenn.edu/gtp/immunology.shtml
Core facility which provides a variety of assay services to evaluate cell-mediated and humoral responses to in animal models of gene therapies.
Proper citation: University of Pennsylvania Center for Molecular Therapy for Cystic Fibrosis Immunology Core (RRID:SCR_015409) Copy
http://www.mmpc.org/shared/showCenterCore.aspx?id=48
Core which provides a complete range of microvascular phenotyping of murine models of diabetes, obesity and metabolic disease, including validated, reproducible and standardized phenotyping of the three major microvascular complications: diabetic polyneuropathy, nephropathy and retinopathy.
Proper citation: MMPC-University of Michigan Medical School Microvascular Complications Core (RRID:SCR_015376) Copy
https://labnodes.vanderbilt.edu/resource/view/id/10810/community_id/1418
Core whose services include determining the components of energy balance with high precision and time resolution, providing robust imaging technology to monitor the dynamics of cellular process, and providing innovative mouse bariatric surgery models with application to basic and translational research.
Proper citation: MMPC-Vanderbilt University School of Medicine Metabolic Regulation Core (RRID:SCR_015377) Copy
https://medicine.uiowa.edu/genetherapy/research-cores/cells-and-tissue-core
Core that provides centralized access to non-cystic fibrosis and cystic fibrosis tissue specimens and airway cells used for model systems to assess gene transfer to the airway and pathophysiology in cystic fibrosis.
Proper citation: University of Iowa Center for Gene Therapy Cell Tissue Core (RRID:SCR_015410) Copy
https://nyonrc.cumc.columbia.edu/content/animal-phenotyping-core
Core that allows investigators to efficiently and cost effectively define the phenotypes of small rodents in ways that are relevant to the study of obesity, nutrition, and metabolism. Its services range from whole animal measurements of body composition and energy utilization, to ex vivo measurements of substrate fluxes, to histological analyses of adipose tissue.
Proper citation: New York Obesity Nutrition Research Center Animal Phenotyping Core (RRID:SCR_015414) Copy
http://umassmed.edu/umpc/animal/humanized-mouse-core/
Core which provides humanized mice that enable clinically relevant in vivo studies of human cells, tissues, and immune system without putting patients at risk and expert in vivo functional analysis of transplanted human islets and stem cell-derived b-cells in immunodeficient mice that are highly valuable to the mouse research community.
Proper citation: MMPC-University of Massachusetts Medical School Humanized Mouse Cell Transplantation and Assessment Core (RRID:SCR_015372) Copy
http://umassmed.edu/umpc/cores/islet-core/
Core which provides comprehensive in vivo, ex vivo, and in vitro analysis of pancreatic function and islet structure. Its services include mouse pancreas preparation for histological experiments, surgical isolation of mouse islets, and islet structural analysis.
Proper citation: MMPC-University of Massachusetts Medical School Islet Core (RRID:SCR_015370) Copy
http://www.stanford.edu/group/exonarray/cgi-bin/plot_selector.pl
Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease.
Proper citation: Exon Array Browser (RRID:SCR_008712) Copy
http://clonesearch.jdrfnpod.org/
Database of sequence data generated from high-throughput immunosequencing of the TCR beta chain (TRB) and B cell receptor (BCR) immunoglobulin heavy chain (IGH). This data comes from cells from NPOD donors.
Proper citation: nPOD TCR/BCR Search (RRID:SCR_015851) Copy
Collection of human pancreas data and images. Platform to share data from human pancreas samples. Houses reference datasets from human pancreas samples, achieved through generosity of organ donors and their families.
Proper citation: Pancreatlas (RRID:SCR_018567) Copy
https://gitlab.com/rosen-lab/white-adipose-atlas
Single cell atlas of human and mouse white adipose tissue.
Proper citation: White Adipose Atlas (RRID:SCR_023625) Copy
https://github.com/EpistasisLab/ReBATE
Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .
Proper citation: ReBATE (RRID:SCR_017139) Copy
https://github.com/zeyang-shen/maggie
Software Python package for identifying motifs mediating transcription factor binding and function. Links mutations of motif to changes of epigenomic feature without assuming linear relationship.
Proper citation: Motif Alteration Genome wide to Globally Investigate Elements (RRID:SCR_021903) Copy
https://bioconductor.org/packages/release/bioc/html/Maaslin2.html
SoftwareR package that identifies microbial taxa correlated with factors of interest using generalized linear models and mixed models.Used for efficiently determining multivariable association between clinical metadata and microbial meta'omic features.
Proper citation: MaAsLin2 (RRID:SCR_023241) Copy
https://spin.niddk.nih.gov/bax/software/TALOS-N/
Software package for prediction of protein backbone and sidechain torsion angles from NMR chemical shifts.
Proper citation: TALOS-N (RRID:SCR_022800) Copy
https://github.com/ParkerLab/ataqv
Software package for QC and visualization of ATAC-seq results. Used to examine aligned reads and report basic metrics, including reads mapped in proper pairs, optical or PCR duplicates, reads mapping to autosomal or mitochondrial references, ratio of short to mononucleosomal fragment counts, mapping quality, various kinds of problematic alignments.
Proper citation: ataqv (RRID:SCR_023112) Copy
https://github.com/qianli10000/mtradeR
Software R package implements Joint model with Matching and Regularization and simulation pipeline. Used to test association between taxa and disease risk, and adjusted for correlated taxa screened by pre-selection procedure in abundance and prevalence, individually.
Proper citation: mtradeR (RRID:SCR_022977) Copy
http://www.t1diabetes.nih.gov/T1D-PTP/
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Investigator access is provided to the established facilities and expertise needed to extend, enhance and validate preclinical studies of promising new therapeutics in cases where additional preclinical testing is needed to validate potential therapies under disease-specific conditions and in multiple animal models before therapeutics can enter the Type 1 Diabetes Rapid Access to Intervention Development (T1D-RAID) development pipeline. The T1D-RAID program provides resources for pre-clinical development of drugs, natural products, and biologics that will be tested as new therapeutics in type 1 diabetes clinical trials. The T1D-RAID program is not currently accepting applications. The T1D-PTP program currently supports two contracts, which are separate from each other and from the T1D-RAID NCI contract resources, to assist in preclinical development of therapeutics for T1D: * Agents to be tested for Preclinical Efficacy in Prevention or Reversal of Type 1 Diabetes in Rodent Models. Type 1 Diabetes Preclinical Testing Program (T1D-PTP) (NOT-DK-09-006) * Needs for Preclinical Efficacy Testing of Promising Agents to Prevent or Reverse Diabetic Complications (NOT-DK-09-009) The T1D-RAID and T1D-PTP are programs intended to remove the most common barriers to progress in identification and development of new therapies for Type 1 Diabetes. The common goal of these programs is to support and provide for the preclinical work necessary to obtain proof of principle establishing that a new molecule or novel approach will be a viable candidate for expanded clinical evaluation.
Proper citation: Type 1 Diabetes Preclinical Testing Program (RRID:SCR_006861) Copy
http://diabetes.niddk.nih.gov/dm/pubs/control/index.aspx
Clinical study that showed that keeping blood glucose levels as close to normal as possible slows the onset and progression of eye, kidney, and nerve diseases caused by diabetes. EDIC is a follow-up study of people who participated in DCCT. The DCCT involved 1,441 volunteers, ages 13 to 39, with type 1 diabetes and 29 medical centers in the United States and Canada. Volunteers had to have had diabetes for at least 1 year but no longer than 15 years. They also were required to have no, or only early signs of, diabetic eye disease. The study compared the effects of standard control of blood glucose versus intensive control on the complications of diabetes. Intensive control meant keeping hemoglobin A1C levels as close as possible to the normal value of 6 percent or less. The A1C blood test reflects a person''''s average blood glucose over the last 2 to 3 months. Volunteers were randomly assigned to each treatment group. DCCT Study Findings * Intensive blood glucose control reduces risk of ** eye disease: 76% reduced risk ** kidney disease: 50% reduced risk ** nerve disease: 60% reduced risk When the DCCT ended, researchers continued to study more than 90 percent of participants. The follow-up study, called Epidemiology of Diabetes Interventions and Complications (EDIC), is assessing the incidence and predictors of cardiovascular disease events such as heart attack, stroke, or needed heart surgery, as well as diabetic complications related to the eye, kidney, and nerves. The EDIC study is also examining the impact of intensive control versus standard control on quality of life. Another objective is to look at the cost-effectiveness of intensive control. EDIC Study Findings * Intensive blood glucose control reduces risk of ** any cardiovascular disease event: 42% reduced risk ** nonfatal heart attack, stroke, or death from cardiovascular causes: 57% reduced risk
Proper citation: Diabetes Control and Complications Trial (RRID:SCR_006805) Copy
https://www.baderc.org/cores/metaboliccore/
Core in BADERC that provides services in consultation and teaching, use of DEXA scanner for determination of body fat and/or bone density, and use of Coulter Counter to measure cell number and cell size distribution.
Proper citation: Boston Area Diabetes Endocrinology Research Center Metabolic Physiology and Energy Balance Core Facility (RRID:SCR_008293) Copy
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