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http://www.dukekidneycenter.org/

Research center which investigates the mechanisms underlying the impact kidney disease has on cardiovascular morbidity and mortality using genetic and basic science approaches.

Proper citation: Duke O'Brien Center for Kidney Research (RRID:SCR_015268) Copy   

•   Source: SciCrunch Registry

http://www.norch.org

Research center at Harvard University that seeks to establish a research environment which encourages the approach to defining common clinical nutrition research problems. It aims to promote, facilitate and enhance research relating to nutrition and health within the Boston area.

Proper citation: Nutrition and Obesity Research Centers at Harvard (RRID:SCR_015422) Copy   

•   Source: SciCrunch Registry

https://www.niddk.nih.gov/research-funding/research-programs/cystic-fibrosis-research-translation-centers

Research centers that provide support for basic, preclinical, and clinical research efforts to advance scientific knowledge and new therapies for cystic fibrosis.

Proper citation: Cystic Fibrosis Research and Translation Centers (RRID:SCR_015383) Copy   

•   Source: SciCrunch Registry

https://research.med.virginia.edu/pcen/

Center for the study of the development of the kidney during embryonic, fetal and postnatal life. As a collaboration between the University of Virginia and Tulane University, they use an interdisciplinary and inter-institutional approach for their research.

Proper citation: Pediatric Centers of Excellence in Nephrology at University of Virginia (RRID:SCR_015307) Copy   

•   Source: SciCrunch Registry

http://www.medschool.umaryland.edu/norc/

Center that fosters multidisciplinary research approaches to understanding the impact of nutrition on risk for chronic disease and aims to translate this knowledge into effective clinical treatments and prevention efforts.

Proper citation: Mid-Atlantic Nutrition Obesity Research Center (RRID:SCR_015430) Copy   

•   Source: SciCrunch Registry

http://www.med.upenn.edu/gtp/

Research center whose focus is on developing effective gene vectors derived from recombinant viruses. Much of their research is in the development of new adeno-associated virus (AAV) vectors, although some of their research involves both adenoviruses and lentiviruses.

Proper citation: University of Pennsylvania Center for Molecular Therapy for Cystic Fibrosis (RRID:SCR_015406) Copy   

•   Source: SciCrunch Registry

http://livercenter.yale.edu/index.aspx

Research center which supports investigation of liver structure, function and disease through access to its four core facilities (Administrative, Physiology, Clinical and Translational, and Morphology cores) and Pilot Feasability Projects.

Proper citation: Yale Liver Center (RRID:SCR_015255) Copy   

•   Source: SciCrunch Registry

http://amor.cms.hu-berlin.de/~simondan/

Collection of standardized stimuli of dynamic, prototypical facial expressions of pain, the six basic emotions, and a neutral display. The set can be used in cognitive, social, clinical, and neuroscience studies on facial expressions and their social communicative functions.

Proper citation: Montreal Pain and Affective Face Clips (RRID:SCR_015497) Copy   

•   Source: SciCrunch Registry

https://labnodes.vanderbilt.edu/mmpc

Research center whose mission is to advance research in the area of diabetes by providing experimental tools to the scientific community for phenotyping mouse transgenic models of diabetes and related disorders.

Proper citation: MMPC-Vanderbilt University School of Medicine (RRID:SCR_015374) Copy   

•   Source: SciCrunch Registry

https://medicine.uiowa.edu/genetherapy/

Research center which provides access to core facilities and services to aid gene therapy researchers.

Proper citation: University of Iowa Center for Gene Therapy (RRID:SCR_015412) Copy   

•   Source: SciCrunch Registry

https://ddrcc.wustl.edu/

Research center whose purpose is to advance research in digestive disease with a focus on interactions between host and environment. It provides research resources to basic and translational investigators through various core facilities.

Proper citation: Washington University Digestive Diseases Research Core Center (RRID:SCR_015252) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html

1200+ ''resting state'' functional MRI (R-fMRI) datasets independently collected at 33 sites and donated by the principal investigators for the purpose of providing the broader imaging community complete access to a large-scale functional imaging dataset. Age, sex and imaging center information are provided for each of the datasets. In accordance with HIPAA guidelines, all datasets are anonymous, with no protected health information included. We anticipate this data-sharing effort will equip researchers with a means of exploring and refining R-fMRI approaches, and facilitate the growing ethos of sharing and collaboration. Disclaimer: The ''1000 Functional Connectomes Project'' datasets are provided freely without assurance of quality or appropriateness for usage.

Proper citation: FCP Classic Data Sharing Samples (RRID:SCR_005362) Copy   

•   Source: SciCrunch Registry

http://www.icn.ucl.ac.uk/motorcontrol/

Using robotic devices to investigate human motor behavior, this group develops computational models to understand the underlying control and learning processes. By simulating novel objects or dynamic environments they study how the brain recalibrates well-learned motor skills or acquires new ones. These insights are used to design fMRI studies to investigate how these processes map onto the brain. They have developed a number of novel techniques of how to study motor control in the MRI environment, and how to analyze MRI data of the human cerebellum. They also study patients with stroke or neurological disease to further determine how the brain manages to control the body.

Proper citation: UCL Motor Control Group (RRID:SCR_005271) Copy   

•   Source: SciCrunch Registry

http://phenotype.mc.vanderbilt.edu/

Collaborative environment of building and validating electronic phenotype algorithms using electronic medical records (EMRs) and natural language processing (NLP) for use in genome-wide association studies (GWAS). On this site you can: View existing algorithms, Enter or create new algorithms, Collaborate with others to create or review algorithms, View implementation details for existing algorithms. The Electronic Medical Records and Genomics Network (eMERGE) has investigated whether data captured through routine clinical care using electronic medical records (EMRs) can identify disease phenotypes with sufficient positive and negative predictive values for use in genome-wide association studies (GWAS). Most EMRs captured key information (diagnoses, medications, laboratory tests) used to define phenotypes in a structured format; in addition, natural language processing has also been shown to improve case identification rates. PheKB is an outgrowth of that validation effort. Phenotype algorithms can be viewed by data modalities or methods used: CPT codes, ICD 10 codes, ICD 9 codes, Laboratories, Medications, Vital Signs, Natural Language Processing Algorithms can also be viewed by: * Implementation results (positive predictive value, sensitivity, publications) * Institution * Work Group

Proper citation: PheKB (RRID:SCR_005292) Copy   

•   Source: SciCrunch Registry

https://www.urmc.rochester.edu/neurosurgery/specialties/neurooncology.aspx

Collaborative neuro-oncology research program with a tissue repository (tumor bank) containing a wide range of clinical specimens, which they make available to researchers in order to study the effects of new drugs on a large number and wide range of tumor specimens. They provide highly coordinated, complex care in neurosurgery, radiation oncology, medical oncology, and neurology to patients afflicted with tumors of the brain and spine by combining the newest technologies and treatments available anywhere in the world. The program is formed from a multidisciplinary group with a goal of helping patients navigate the complex issues surrounding brain and spinal cancer care. The researchers are working to increase the number of targets that could be considered for anti-angiogenesis therapy. Many of their studies focus on the blood vessel cells (endothelial cells) themselves, which, unlike tumor cells, rarely mutate and so might be less likely to become resistant to therapy and are also more easily reached through the bloodstream. Their researchers are also attempting to better understand the changes in the blood-brain barrier (BBB) that are associated with fluid accumulation and brain swelling (edema) in neuro-oncology patients. Normal brain tissue is shielded from the rest of the body by the BBB. This barrier is composed of very tight blood vessels that prevent most substances from entering the brain. Brain tumors have a leaky BBB ����?? this feature can be used to identify tumors on MRI scans. They have identified specific molecules that appear to be associated with the leaky, abnormal vessels while the normal blood vessels with intact BBB produce these molecules at very low levels or not at all. Inhibiting the function of these molecules may help control or prevent disruption of the BBB and limit cerebral edema in brain tumor patients, as well as patients suffering from stroke or traumatic brain injury.

Proper citation: University of Rochester Program for Brain Tumors and Spinal Tumors (RRID:SCR_005343) Copy   

•   Source: SciCrunch Registry

http://ucneuroscience.com/

Leading treatment, research and teaching center for complex neurological conditions based at the University Hospital and the UC College of Medicine. Its physicians and researchers have created national models for evidence-based treatment and research of complex conditions, including ischemic and hemorrhagic stroke, brain aneurysms, brain and spinal cord trauma, brain tumors, Parkinson's disease, epilepsy and seizure disorders, multiple sclerosis, trigeminal neuralgia, Alzheimer's disease and memory disorders, mood disorders, and neuromuscular disorders. UCNI includes a team of more than 100 experts from 15 specialties who collaborate across disciplines to provide the most comprehensive diagnoses and treatments possible.

Proper citation: University of Cincinnati Neuroscience Institute (RRID:SCR_005345) Copy   

•   Source: SciCrunch Registry

http://cgap.nci.nih.gov/Genes/GOBrowser

With the CGAP GO browser, you can browse through the GO vocabularies, and find human and mouse genes assigned to each term. GO data updated every few months. Platform: Online tool

Proper citation: CGAP GO Browser (RRID:SCR_005676) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/trials/index.shtml

NIMH supports research studies on mental health and disorders. Participate, refer a patient or learn about results of studies in ClinicalTrials.gov, the NIH/National Library of Medicine''''s registry of federally and privately funded clinical trials for all disease. Find NIH-funded studies currently recruiting participants in the following mental health topics: * Anxiety Disorders ** Generalized Anxiety Disorder ** Obsessive-Compulsive Disorder (OCD) ** Panic Disorder ** Post-traumatic Stress Disorder (PTSD) ** Social Phobia (Social Anxiety Disorder) * Attention Deficit Hyperactivity Disorder (ADHD, ADD) * Autism Spectrum Disorders (Pervasive Developmental Disorders) * Bipolar Disorder (Manic-Depressive Illness) * Borderline Personality Disorder * Depression * Eating Disorders * HIV/AIDS * Schizophrenia * Suicide Prevention Information Resources for NIMH Researchers Conducting Clinical Trials * Limited Access Datasets from NIMH-Supported Clinical Trials * NIMH Policy for Recruitment of Participants in Clinical Research * NIMH Policy on Data and Safety Monitoring in Extramural Investigator-Initiated Clinical Trials * Register a study with ClinicalTrials.gov

Proper citation: NIMH Clinical Trials (RRID:SCR_005613) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/educational-resources/neuroscience-and-psychiatry/neuroscience-and-psychiatry-module-1-translating-neural-circuits-into-novel-therapeutics.shtml

This is the first in a series of modules on neuroscience and psychiatry. This module explores research on cognitive deficits, a core feature of schizophrenia and the single best predictor of functional outcomes in this disorder for which we currently have no treatments. This module is an example of how translational neuroscience can provide clues for the development of promising novel therapeutics.

Proper citation: Neuroscience and Psychiatry Module 1: Translating Neural Circuits into Novel Therapeutics (RRID:SCR_005609) Copy   

•   Source: SciCrunch Registry

http://genenet2.uthsc.edu/geneinfoviz/search.php

GeneInfoViz is a web based tool for batch retrieval of gene function information, visualization of GO structure and construction of gene relation networks. It takes a input list of genes in the form of LocusLink ID, UniGeneID, gene symbol, or accession number and returns their functional genomic information. Based on the GO annotations of the given genes, GeneInfoViz allows users to visualize these genes in the DAG structure of GO, and construct a gene relation network at a selected level of the DAG. Platform: Online tool

Proper citation: GeneInfoViz (RRID:SCR_005680) Copy   

•   Source: SciCrunch Registry