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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.norch.org/center-cores/genomics-and-cell-biology-core/
Core that facilitates the application of genomics, bioinformatics, cell biology, and immunology techniques to nutrition and metabolic research.
Proper citation: Nutrition and Obesity Research Centers at Harvard Genomics and Cell Biology Core (RRID:SCR_015427) Copy
http://www.medschool.umaryland.edu/norc/Cores/Clinical--Translational-Research-CTR-Core/
Core that facilitates the conduct of clinical nutrition and obesity research. Its team of experts in nutrition, exercise physiology, body composition, metabolism and behavioral therapy aim to assist and train NORCH investigators in the skills necessary to conduct clinical nutrition and obesity research.
Proper citation: Mid-Atlantic Nutrition Obesity Research Center Clinical and Translational Research Core (RRID:SCR_015431) Copy
Core that provides investigators with access to adipose tissue samples from well-characterized subjects. It also assists investigators with analysis of adipose tissue morphology and metabolism, specialized cell and organ culture methods, and analysis of gene and protein expression.
Proper citation: Mid-Atlantic Nutrition Obesity Research Center Biological Mechanisms and Functional Genomics Core (RRID:SCR_015432) Copy
http://bnorc.org/cores/transgenic.html
Core that utilizes investigator-derived DNA constructs or investigator derived (or obtained) genetically modified embryonic stem cells to create founder transgenic organisms that can be used to address questions relevant to obesity, diabetes and nutrition, including questions related to brain control of feeding, metabolism and reward.
Proper citation: Boston Nutrition and Obesity Research Centers Transgenic Core (RRID:SCR_015433) Copy
http://www.medschool.umaryland.edu/norc/Cores/Biostatistics--Medical-Informatics-BMI-Subcore/
Core that provides biostatistical consultation to other investigators who are doing research in the fields of obesity and nutrition at University of Maryland and the Baltimore VA Medical Center. It aims to develop new methods for data collection data from older subjects.
Proper citation: Mid-Atlantic Nutrition Obesity Research Center Biostatistics and Medical Informatics Subcore (RRID:SCR_015434) Copy
https://www.niddkrepository.org/studies/cpcrn2-rct1/
Clinical trial by the Chronic Prostatitis Collaborative Research Network (CPCRN chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS)) that was established to conduct randomized clinical trials of promising therapies for this syndrome. In response to the findings of previous trials, the CPCRN conducted a multicenter, randomized, placebo-controlled trial of alfuzosin to determine whether the symptoms CP/CPPS could be reduced in men who had recently received a diagnosis of CP/CPPS and who had not previously been treated with this class of drug.
Proper citation: Chronic Prostatitis Collaborative Research Network Clinical Trial- Alfuzosin (RRID:SCR_015886) Copy
https://www.uab.edu/medicine/cysticfibrosis/about/assay-core
Core that provides Ussing chamber capabilities and expertise for testing vectoral anion transport in polarized airway epithelial monolayers, and florescent dye-based methods for evaluating CFTR activity in cells grown on coverslips. The core also performs immunolocalization for proteins relevant to cystic fibrosis pathogenesis.
Proper citation: Gregory Fleming James Cystic Fibrosis Research Center Assay Core (RRID:SCR_015407) Copy
http://depts.washington.edu/cfrtc/inflammation/
Core whose objective is to obtain information on relevant parameters of the host response that is unique to cystic fibrosis using a variety of techniques, including in vivo and in vitro imaging, immunohistochemistry, imaging and image analysis, cells and bacteria in tissues, and quantification of chemokines, cytokines, and other factors with ELISA.
Proper citation: Cystic Fibrosis Center - University of Washington Host Response Core (RRID:SCR_015405) Copy
https://medicine.uiowa.edu/genetherapy/research-cores/animal-models-core
Core that provides support to investigators who use animal models to study the pathogenesis of cystic fibrosis and who develop gene and other molecular therapies for cystic fibrosis. Specifically, it provides centralized production, care, breeding, genotyping, and quality control of cystic fibrosis mouse and ferret models used by investigators in the Center.
Proper citation: University of Iowa Center for Gene Therapy Animal Model Core (RRID:SCR_015413) Copy
https://medicine.uiowa.edu/genetherapy/research-cores/comparative-pathology-core
Core facility which provides comprehensive necropsy, histology, and pathology services for animal models in order to facilitate translational research in animal models of cystic fibrosis. It also houses instrumentation which allows for high-throughput optimization of immunostaining protocols and has access to morphologic equipment that allow for the scanning of large tissue areas and morphometric quantification of histologic endpoints.
Proper citation: University of Iowa Center for Gene Therapy Comparative Pathology Core (RRID:SCR_015411) Copy
http://genie.weizmann.ac.il/pubs/mir07/mir07_data.html
Catalogs of predicted microRNA targets in worm (based on ce6 genome assembly), fly (dm3), mouse (mm9) and human (hg18). We follow standard seed parameter settings and consider seeds of length 6-8 bases, beginning at position 2 of the microRNA. No mismatches or loops are allowed, but a single G:U wobble is allowed in 7- or 8-mers. In genes missing a 3' UTR annotation, 500 bp (fly), 800 bp (human and mouse) or 300 bp (worm) downstream of the annotated end of the coding sequence were used as the predicted UTR. For each organism, a catalog with zero flank and with a flank of 3 and 15 bases upstream and downstream.
Proper citation: PITA (RRID:SCR_010853) Copy
http://fcon_1000.projects.nitrc.org/indi/pro/eNKI_RS_TRT/FrontPage.html
A test-retest dataset to assess the reliability of multiband resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI) scans prior to launch of the Enhanced Nathan Kline Institute - Rockland Sample (NKI-RS). The dataset is primarily composed of individuals from the initial NKI-RS - for these individuals psychiatric assessment information is available and included (participants were not excluded due to history of illness. In addition to R-fMRI and DTI, they included: 1) simple visual checkerboard stimulation fMRI scans to allow for assessment of traditional fMRI data quality metrics (e.g., contrast-to-noise ratio), 2) breath holding data to enable assessment of regional differences in vascular responsiveness, and 3) eye movement calibration scans to enable the assessment of eye-movement related artifacts which may be particularly troublesome for multiband sequences since several slices are acquired simultaneously.
Proper citation: NKI-RS Multiband Imaging Test-Retest Pilot Dataset (RRID:SCR_010460) Copy
http://fcon_1000.projects.nitrc.org/indi/enhanced/
Dataset of 1000 characterized community-ascertained participants using state-of-the-art multiband imaging-based resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI), genetics, and a deep phenotyping protocol from a large cross-sectional sample of brain development, maturation and aging (ages 6 - 85 yrs). The Center for Magnetic Resonance Research (CMRR), University of Minnesota, provided the NKI-RS effort with the latest version of the Multiband EPI sequence (Xu et al. 2012) and associated image reconstruction algorithms, enabling the acquisition of state-of-the-art imaging datasets for this large-scale imaging effort. The enhanced NKI-RS expands upon the phenotypic protocol of the original NKI-RS and captures a broad range of behavioral and cognitive phenomenology relevant to psychiatric health and illness. The validity and value of assessments were evaluated by consulting leaders in the field of psychiatric phenotyping.
Proper citation: NKI-RS Enhanced Sample (RRID:SCR_010461) Copy
http://www.scienceexchange.com/facilities/ips-core
The new iPSC Core generates custom-designed iPSCs from mouse and human cells, including disease-specific human iPSCs. iPSCs from other species are currently under development. The Core is currently using both lentiviral- and sendai viral vector systems to deliver reprogramming factors to cells. Both systems are efficient, with the latter system having the advantage to generate iPSCs with a non-DNA-integrating vector system.
Proper citation: CU Denver iPSC Core (RRID:SCR_012176) Copy
http://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=36870040
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 02, 2016.
Proper citation: SpinalGraft Technologies LLC (RRID:SCR_000937) Copy
http://www.med.upenn.edu/idom/drc/cores/mouse.html
Core which provides researchers with resources for performing metabolic studies in mice. It also provides services, innovative techniques, and helpful consultation to both experienced and novice investigators with regards to metabolic questions.
Proper citation: Penn Diabetes Research Center Mouse Phenotyping Physiology and Metabolism Core (RRID:SCR_000888) Copy
https://med.stanford.edu/lucasmri.html
Biomedical technology research center that develops innovative technologies in five core research areas of magnetic resonance imaging and spectroscopy (MRI/MRS): # image reconstruction, fast imaging and radiofrequency (RF) pulse design methods, # R hardware development, # body imaging methods, # neuroimaging methods. # MR spectroscopy methods. In each of these areas, they capitalize on the long-standing, successful partnership and extensive experience in Stanford's Radiology and Electrical Engineering departments to improve and expand imaging technology for use in basic research and clinical care, and to provide cutting edge opportunities to the extramural community for biomedical research with MRI. Over its more than 18 years of existence, CAMRT has been motivated by and has served a wide base of extramurally sponsored collaborators and service users from leading medical and research institutions. Examples of collaborative projects are the development of real-time functional MRI biofeedback methods for neuroscience and clinical applications such as pain remediation, development of methods to mitigate metal artifacts in musculoskeletal imaging, development of novel RF pulses for many applications, and studies of breast cancer with efficient MRS methods.
Proper citation: Richard M. Lucas Center for Imaging (RRID:SCR_001406) Copy
http://neurobureau.projects.nitrc.org/ADHD200/Introduction.html
Preprocessed versions of the ADHD-200 Global Competition data including both preprocessed versions of structural and functional datasets previously made available by the ADHD-200 consortium, as well as initial standard subject-level analyses. The ADHD-200 Sample is pleased to announce the unrestricted public release of 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: diagnostic status, dimensional ADHD symptom measures, age, sex, intelligence quotient (IQ) and lifetime medication status. Preliminary quality control assessments (usable vs. questionable) based upon visual timeseries inspection are included for all resting state fMRI scans. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project protocols, all datasets are anonymous, with no protected health information included. They hope this release will open collaborative possibilities and contributions from researchers not traditionally addressing brain data so for those whose specialties lay outside of MRI and fMRI data processing, the competition is now one step easier to join. The preprocessed data is being made freely available through efforts of The Neuro Bureau as well as the ADHD-200 consortium. They ask that you acknowledge both of these organizations in any publications (conference, journal, etc.) that make use of this data. None of the preprocessing would be possible without the freely available imaging analysis packages, so please also acknowledge the relevant packages and resources as well as any other specific release related acknowledgements. You must be logged into NITRC to download the ADHD-200 datasets, http://www.nitrc.org/projects/neurobureau
Proper citation: ADHD-200 Preprocessed Data (RRID:SCR_000576) Copy
http://archives.niddk.nih.gov/patient/crisp/rp-crisp.aspx
A five-year prospective cohort study following 240 patients who have autosomal-dominant polycystic kidney disease (PKD) to determine whether changes in anatomic characteristics of their kidneys as measured by magnetic resonance imaging will be useful in providing surrogate measures for disease progression. CRISP's overall goal is to develop methods that would facilitate shortening the observation period necessary to determine efficacy of treatment interventions in PKD patients. Specific goals of this study are to: * Quantify cyst growth and ascertain severity of renal parenchymal involvement by sequential measurement of total kidney volume and the ratio of intact parenchyma to renal parenchyma occupied by cysts over time * Establish useful clinical correlations of imaging data with other markers of disease progression * Identify and test other potential markers or indices of disease progression, for example, assessment of loss of heterozygosity of renal cells shed in the urine, or other markers, in cohorts of patients with PKD * Gain information about the cost-effectiveness, patient acceptability, and advantages and disadvantages of different imaging techniques used serially in patients with PKD. Some experience has been gained in establishing that repeat imaging of the same PKD patient, using these techniques, yields reproducible estimates of kidney size and the proportion of renal parenchyma occupied by cysts. MRI may also have the advantage of permitting simultaneous estimation of GFR. Ultrasound has the advantage of being more cost-effective and perhaps more acceptable to patients for repetitive studies, but the measurements may be less accurate and reproducible. Nonetheless, there is very limited experience in applying these techniques to follow progression of the renal disease. Development of improved, reproducible imaging methods that assess cyst growth and provide markers of disease progression could markedly improve the feasibility of clinical trials. Participating clinical centers are Emory University, the Mayo Clinic, University of Kansas, and the University of Alabama at Birmingham. The data coordinating and imaging analysis center is at Washington University. (PI has since moved to University of Pittsburgh) The study found that kidney enlargement resulting from the expansion of cysts is continuous, quantifiable, and associated with the decline of renal function. Cystic expansion occurs at a consistent rate per individual, although it is heterogeneous in the population, and that larger kidneys are associated with more rapid decrease in renal function. These anatomic characteristics of patient kidneys may provide useful surrogate measures for disease progression, and hence enhance the development of targeted therapies for autosomal dominant PKD. CRISP III is a five-year prospective cohort study to follow ~170 remaining autosomal dominant polycystic kidney disease (ADPKD) patients who were part of the original CRISP cohort study. CRISP III will verify and extend the preliminary observations of CRISP to determine the extent to which quantitative (kidney volume and blood flow, and hepatic and kidney cyst volume) or qualitative (cyst distribution and character) structural parameters predict renal insufficiency and develop and test new metrics to quantify and monitor disease progression. Urine metabolites and the genome will be correlated with the progression of disease to look for new, predictive disease biomarkers. This information from CRISP III will help determine if the kidney enlargement, blood flow, cyst distribution, or urine metabolites can function as an informative surrogate measure for disease progression.
Proper citation: Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (RRID:SCR_000690) Copy
http://anya.igsb.anl.gov/Geneways/GeneWays.html
System for automatically extracting, analzying, visualizing and integrating molecular pathway data from the research literature. System focuses on interactions between molecular substances and actions, providing a graphical consensus view on the collected information. GeneWays is designed as open platform, allowing researchers to query, review and critique integrated information.
Proper citation: GeneWays (RRID:SCR_000572) Copy
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