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http://www.healthsystem.virginia.edu/internet/crr/ligand.cfm

This Core at the University of Virginia employs state-of-the-art methods to quantitate peptide and steroid reproductive hormones in blood and tissue. It also develops new methodology, prepares labeled reagents for immunoassays, immunocytochemistry and binding studies and assists in the transfer of technology to participating investigators. Available services: AMH ELISA, 3-ALPHA DIOL G ELISA (ON HOLD), ANDROSTENEDIONE RIA, CORTISOL HUMAN IMMULITE, CORTICOSTERONE RIA, DHEA ELISA, DHEA-SO4 HUMAN IMMULITE, DHT NON EXTRACTION RIA (ON HOLD), ESTRADIOL HUMAN & MOUSE BECKMAN COULTER RIA, ESTRADIOL RAT SIEMENS RIA, ESTRONE- RIA, FSH HUMAN IMMULITE, IGF-1 HUMAN IMMULITE, INHIBIN-A ELISA, INHIBIN-B ELISA, INSULIN HUMAN IMMULITE, LH HUMAN IMMULITE, MOUSE FSH RIA, MOUSE LH SANDWICH IRMA, PROGESTERONE RIA, PROINSULIN RIA, PROLACTIN HUMAN IMMULITE, 17a-OH-PROGESTERONE RIA, RAT FSH RIA, RAT LH SANDWICH IRMA, SHBG HUMAN IMMULITE, TESTOSTERONE RIA, SENSITIVE ESTRADIOL HUMAN & RAT RIA, SENSITIVE PROGESTERONE RIA, SENSITIVE TESTOSTERONE - RIA

Proper citation: UVA Center for Research in Reproduction Ligand Assay and Analysis Core (RRID:SCR_004318) Copy   

•   Source: SciCrunch Registry

http://www.caneucre.org

Cre expressing mice under the control of promoters with a design focus on the brain. Each promoter is derived from human sequence, but the resulting expression is assessed in the mouse for the activation of a LacZ reporter gene by the Cre activity. Promoters tested as large MaxiPromoters (BACs inserted into the mouse genome) and MiniPromoters (plasmid-based sequences inserted either into the mouse genome or introduced within AAV viruses). The Cre-related project continues from the Pleiades Promoter Project. Here is the list of genes for which icre/ERT2 mice are currently in development: AGTR1, CARTPT, CLDN5, CLVS2, CRH, GABRA6, HTR1A, HTR1B, KCNA4, KDM5C, MKI67, NEUROD6, NKX6-1, NOV, NPY2R, NR2E1, OLIG2, POU4F2, SLITRK6, SOX1, SOX3, SOX9,, SPRY1, VSX2

Proper citation: CanEuCre (RRID:SCR_004159) Copy   

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http://www.science.mcmaster.ca/biochem/faculty/truant/truantlab.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 21, 2013. Laboratory portal of Ray Truant, PhD. It provides an image gallery and videos.

Proper citation: Ray Truant Lab (RRID:SCR_004301) Copy   

•   Source: SciCrunch Registry

http://en.wikibooks.org/wiki/Emergency_Medicine

Emergency Medicine is an Open-Content Textbook of Emergency Medicine. This wikibook is intended to be a collaborative communication between physicians, nurses, physician assistants, paramedics, EMTs and other healthcare providers. It is not intended for the general public. It is under development and inevitably contains many errors and omissions. As the information in this textbook can be edited by anyone, regardless of whether they are medically trained or not, it should not be used as a guide to treating yourself or anyone else! Contents * 1 SYMPTOMS AND PRESENTATIONS ** 1.1 GENERAL SYMPTOMS ** 1.2 HEAD AND NECK SYMPTOMS ** 1.3 CHEST SYMPTOMS ** 1.4 ABDOMINAL SYMPTOMS * 2 TOPICS ** 2.1 ABDOMINAL AND GASTROINTESTINAL DISORDERS ** 2.2 CARDIOVASCULAR DISORDERS ** 2.3 CUTANEOUS DISORDERS ** 2.4 DISASTER MEDICINE ** 2.5 ENDOCRINE, METABOLIC, AND NUTRITIONAL DISORDERS ** 2.6 ENVIRONMENTAL DISORDERS ** 2.7 HEAD, EAR, EYE, NOSE, THROAT DISORDERS ** 2.8 HEMATOLOGIC DISORDERS ** 2.9 IMMUNE SYSTEM DISORDERS ** 2.10 INFECTIOUS DISORDERS ** 2.11 MUSCULOSKELETAL DISORDERS (NONTRAUMATIC) ** 2.12 NERVOUS SYSTEM DISORDERS ** 2.13 OBSTETRICS AND GYNECOLOGY ** 2.14 RENAL AND UROGENITAL DISORDERS ** 2.15 THORACIC-RESPIRATORY DISORDERS ** 2.16 TOXICOLOGIC DISORDERS ** 2.17 TRAUMATIC DISORDERS * 3 TESTS ** 3.1 Imaging ** 3.2 Lab Investigations ** 3.3 Point of Care Testing * 4 TREATMENT ** 4.1 Procedures ** 4.2 Resuscitation ** 4.3 Other Treatment * 5 SPECIAL POPULATIONS * 6 PRACTICE AND ADMINISTRATION * 7 KNOWLEDGE AND COMMUNICATION

Proper citation: Emergency Medicine (RRID:SCR_004357) Copy   

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http://www.jsmf.org/

Supports research and scholarship to improve the quality of life by providing funding for grants in three program areas: studying complex systems, understanding human cognition, and mathematical and complex systems approaches for brain cancer. Types of awards include Fellowship Awards, Scholar Awards, and Collaborative Awards. * Studying Complex Systems: This program supports scholarship and research directed toward the development of theoretical and mathematical tools that can be applied to the study of complex, adaptive, nonlinear systems. It is anticipated that research funded in this program will address issues in fields such as biology, biodiversity, climate, demography, epidemiology, technological change, economic development, governance, or computation. * Understanding Human Cognition: This program supports research studying how neural systems are linked to and support cognitive functions and how cognitive systems are related to an organism's (preferably human) observable behavior. Studies with model organisms should justify why such models were selected and how data obtained from models advances our understanding of human cognition. * Mathematical & Complex Systems Approaches for Brain Cancer: (Collaborative Activity Awards grant type only.) Despite some recent cause for optimism for advancing the clinical treatment of brain cancers, for many patients brain tumor remains a devastating diagnosis. Progress against this disease has been stymied by limited understandings of the molecular, metabolic, and physiological characteristics of human brain cancers across multiple temporal and spatial scales and by the failure of many preclinical models to predict patient responses.

Proper citation: James S. McDonnell Foundation (RRID:SCR_006341) Copy   

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http://www.mitre.org/news/digest/archives/2002/neuroinformatics.html

This resource''s long-term goal is to develop informatics methodologies and tools that will increase the creativity and productivity of neuroscience investigators, as they work together to use shared human brain mapping data to generate and test ideas far beyond those pursued by the data''s originators. This resource currently has four major projects supporting this goal: * Database tools: The goal of the NeuroServ project is to provide neuroscience researchers with automated information management tools that reduce the effort required to manage, analyze, query, view, and share their imaging data. It currently manages both structural magnetic resonance image (MRI) datasets and diffusion tensor image (DTI) datasets. NeuroServ is fully web-enabled: data entry, query, processing, reporting, and administrative functions are performed by qualified users through a web browser. It can be used as a local laboratory repository, to share data on the web, or to support a large distributed consortium. NeuroServ is based on an industrial-quality query middleware engine MRALD. NeuroServ includes a specialized neuroimaging schema and over 40 custom Java Server Pages supporting data entry, query, and reporting to help manage and explore stored images. NeuroServ is written in Java for platform independence; it also utilizes several open source components * Data sharing: DataQuest is a collaborative forum to facilitate the sharing of neuroimaging data within the neuroscience community. By publishing summaries of existing datasets, DataQuest enables researchers to: # Discover what data is available for collaborative research # Advertise your data to other researchers for potential collaborations # Discover which researchers may have the data you need # Discover which researchers are interested in your data. * Image quality: The approach to assessing the inherent quality of an image is to measure how distorted the image is. Using what are referred to as no-reference or blind metrics, one can measure the degree to which an image is distorted. * Content-based image retrieval: NIRV (NeuroImagery Retrieval & Visualization) is a work environment for advanced querying over imagery. NIRV will have a Java-based front-end for users to issue queries, run processing algorithms, review results, visualize imagery and assess image quality. NIRV interacts with an image repository such as NeuroServ. Users can also register images and will soon be able to filter searches based on image quality.

Proper citation: MITRE Neuroinformatics (RRID:SCR_006508) Copy   

•   Source: SciCrunch Registry

http://rgd.mcw.edu

Database for genetic, genomic, phenotype, and disease data generated from rat research. Centralized database that collects, manages, and distributes data generated from rat genetic and genomic research and makes these data available to scientific community. Curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data is provided. Facilitates investigators research efforts by providing tools to search, mine, and analyze this data. Strain reports include description of strain origin, disease, phenotype, genetics, immunology, behavior with links to related genes, QTLs, sub-strains, and strain sources.

Proper citation: Rat Genome Database (RGD) (RRID:SCR_006444) Copy   

•   Source: SciCrunch Registry

http://obssr.od.nih.gov/index.aspx

An NIH office devoted to the study of the role of behavioral and social factors in illness and health. Its mission is to stimulate behavioral and social sciences research throughout NIH and to integrate these areas of research more fully into others of the NIH health research enterprise, thereby improving our understanding, treatment, and prevention of disease. To provide the OBSSR with counsel in fulfilling its mission, the Behavioral and Social Sciences Research Coordinating Committee (BSSR CC) serves as an internal advisory board. The Office of Behavioral and Social Sciences Research (OBSSR) opened officially on July 1, 1995. The major responsibilities of the office and its director, set forth in its formal mission statement, are: * To provide leadership and direction in the development, refinement, and implementation of a trans-NIH plan to increase the scope of and support for behavioral and social sciences research. * To inform and advise the NIH director and other key officials of trends and developments having significant bearing on the missions of the NIH, DHHS, and other federal agencies. * To serve as the principal NIH spokesperson regarding research on the importance of behavioral, social, and lifestyle factors in the causation, treatment, and prevention of diseases; and to advise and consult on these topics with NIH scientists and others within and outside the federal government. * To develop a standard definition of behavioral and social sciences research, assess the current levels of NIH support for this research, and develop an overall strategy for the uniform expansion and integration * of these disciplines across NIH institutes and centers. * To develop initiatives designed to stimulate research in the behavioral and social sciences arena, integrate a bio-behavioral perspective across the research areas of the NIH, and encourage the study of behavioral and social sciences across NIH''s institutes and centers. * To initiate and promote studies to evaluate the contributions of behavioral, social, and lifestyle determinants in the development, course, treatment, and prevention of illness and related public health problems. * To provide leadership in ensuring that findings from behavioral and social sciences research are disseminated to the public. * To sponsor seminars, symposia, workshops, and conferences at the NIH and at national and international scientific meetings on state-of-the-art behavioral and social sciences research. Funding Opportunities Announcements (FOA) Since opening its doors in 1995, The Office of Behavioral and Social Sciences Research (OBSSR) has worked to achieve the goals of its authorizing legislation by effectively highlighting and supporting the scientific opportunities that exist in basic and applied behavioral and social sciences research. Guided by its Strategic Plan, OBSSR has been working actively with its IC partners to develop funding opportunities in the behavioral and social sciences. Although OBSSR does not have grant-making authority, it has been active in organizing and funding (through transfers to NIH Institutes and Centers) a variety of trans-NIH research programs. Scientific Areas The Office of Behavioral and Social Sciences Researchs (OBSSR) leadership is crucial at a time when exciting scientific opportunities, persistent public health needs, and emergent public health challenges face our nation. The vision of the office is to bring together the biomedical, behavioral, and social science communities to work more collaboratively to solve complex pressing health challenges. Notable areas of research where OBSSR has led efforts and encourages research include: * Biopsychosocial Interactions * Methodology (including Systems Science and CBPR) * Genes, Behavior and Environment * Social and Cultural Factors in Health * Health and Behavior * Translation OBSSR Training & Education Opportunities The Office of Behavioral and Social Sciences Research (OBSSR) develops and coordinates training and career development opportunities with the NIH Institutes and Centers.

Proper citation: Office of Behavioral and Social Sciences Research (RRID:SCR_006554) Copy   

•   Source: SciCrunch Registry

http://www.broad.mit.edu/mammals/dog

The genome of the domesticated dog, a close evolutionary relation to human, is a powerful new tool for understanding the human genome. Comparison of the dog with human and other mammals reveals key information about the structure and evolution of genes and genomes. The unique breeding history of dogs, with their extraordinary behavioral and physical diversity, offers the opportunity to find important genes underlying diseases shared between dogs and humans, such as cancer, diabetes, and epilepsy. The Canine Genome Sequencing Project produced a high-quality draft sequence of a female boxer named Tasha. By comparing Tasha with many other breeds, the project also compiled a comprehensive set of SNPs (single nucleotide polymorphisms) useful in all dog breeds. These closely spaced genomic landmarks are critical for disease mapping. By comparing the dog, rodent, and human lineages, researchers at the Broad Institute uncovered exciting new information about human genes, their evolution, and the regulatory mechanisms governing their expression. Using SNPs, researchers describe the strikingly different haplotype structure in dog breeds compared with the entire dog population. In addition, they show that by understanding the patterns of variation in dog breeds, scientists can design powerful gene mapping experiments for complex diseases that are difficult to map in human populations. Contribute Although the astounding generosity of Eli and Edythe L. Broad and several other venture philanthropists empowers our scientists to tackle many of the most important problems at the cutting edge of genomic medicine, there are many other critical challenges that they cannot yet pursue because of limited resources. We need additional visionary partners to join the Broads and the Broad Institute in transforming medicine with the power of genomics.

Proper citation: Dog Genome Project (RRID:SCR_008486) Copy   

•   Source: SciCrunch Registry

http://www.biobankcentral.org/resource/wwibb.php

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. Web-based portal to connect all the constituencies in the global biobank community. The project seeks to increase the transparency and accessibility of the scientific research process by connecting researchers with an additional source of funding - microinvestments received from the broader online community. In exchange for these public investments, researchers will maintain research logs detailing the play-by-play progress made in their project, as well as publishing all of their data in a public database under a science commons license. These research projects, in turn, will serve to continually update a research-based neuroscience-based human brain & body curriculum. Biobanks are the meeting point of two major information trends in biomedical research: the generation of huge amounts of genomic and other laboratory data, and the electronic capture and integration of patient clinical records. They are comprised of large numbers of human biospecimens supplemented with clinical data. Biobanks when implemented effectively can harness the power of both genomic and clinical data and serve as a critical bridge between basic and applied research, linking laboratory to patient and getting to cures faster. As science and technology leaders work to address the many challenges facing U.S. biobanks logistical, technical, ethical, financial, intellectual property, and IT BioBank Central will serve as an accurate and timely source of knowledge and news about biorepositories and their role in research and drug development. The Web site also provides a working group venue, patient and public education programs, and a forum for international collaboration and harmonization of best practices.

Proper citation: BioBank Central (RRID:SCR_008645) Copy   

•   Source: SciCrunch Registry

http://www.alzfdn.org/index.htm

Non profit organization and informational portal directed towards patients and families. AFA is an umbrella orgnization uniting over 1600 member organizations to collaborate on education, resources, best practices and advocacy. AFA provides several grant opportunities for AFA's nonprofit member organizations and to individuals in need.

Proper citation: Alzheimer's Foundation of America (RRID:SCR_008724) Copy   

•   Source: SciCrunch Registry

http://www.alzresearch.org/index.cfm

A Alzheimer's Disease Research Center (ADRC) whose goal is to conduct basic and clinical research aimed at understanding Alzheimer's disease. The Center enrolls a variety of individuals for clinical trials, evaluation and follow-up, including: normal control subjects, individuals with mild memory problems, and patients diagnosed with Alzheimer's Disease or related dementias. Researchers can request data and specimens obtained from ADRC subjects. These include blood or DNA, brain specimens, and cross-sectional or longitudinal clinical and cognitive data, all from ADRC subjects.

Proper citation: Johns Hopkins Alzheimer's Disease Research Center (RRID:SCR_008757) Copy   

•   Source: SciCrunch Registry

https://www.humanconnectome.org/software/connectome-workbench

Software brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. Used to map brain imaging data. Allows for visualization of outputs from HCP pipelines from single subject, or average data from group of subjects and register that data onto standard brain atlas.

Proper citation: Connectome Workbench (RRID:SCR_008750) Copy   

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http://depts.washington.edu/adrcweb/

Research center investigating the basic mechanisms underlying the development of Alzheimer's disease and related disorders, directing particular attention to biomarkers and experimental new treatments. They also continue to search for genetic risk factors underlying Alzheimer's disease (AD). Their main priorities are to find causes, effective treatments, and prevention strategies. Their investigators also are partnering with other Alzheimer's Centers across the country to evaluate promising new medications and other treatments for AD. The ultimate goal of their basic and clinical studies is to improve patient care and function, and improve the quality of life for both the patient and the caregiver. ADRC Cores: * Administration * Clinical Core * Satellite Core * Data Management & Biostatistics * Neuropathology Core * Education & Information Transfer * Genetics

Proper citation: University of Washington Alzheimers Disease Research Center (RRID:SCR_008814) Copy   

•   Source: SciCrunch Registry

http://www.nimh.nih.gov/educational-resources/neuroscience-and-psychiatry/neuroscience-and-psychiatry-module-2-fear-safety-anxiety-and-anxiety-disorders.shtml

This is the second in a series of modules on neuroscience and psychiatry. This module describes neuroscience research on animal models of fear that informed human studies of fear/safety, anxiety and anxiety disorders. This model helps shed light on the symptoms of PTSD and lead to the development of a novel treatment that has been successful in research studies for several anxiety disorders.

Proper citation: Neuroscience and Psychiatry Module 2: Fear/Safety Anxiety and Anxiety Disorders (RRID:SCR_008843) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/

Non profit research organization for genome sequences to advance understanding of biology of humans and pathogens in order to improve human health globally. Provides data which can be translated for diagnostics, treatments or therapies including over 100 finished genomes, which can be downloaded. Data are publicly available on limited basis, and provided more extensively upon request.

Proper citation: Wellcome Trust Sanger Institute; Hinxton; United Kingdom (RRID:SCR_011784) Copy   

•   Source: SciCrunch Registry

http://genomics.senescence.info/

Collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses. A major resource in HAGR is GenAge, which includes a curated database of genes related to human aging and a database of ageing- and longevity-associated genes in model organisms. Another major database in HAGR is AnAge. Featuring over 4,000 species, AnAge provides a compilation of data on aging, longevity, and life history that is ideal for the comparative biology of aging. GenDR is a database of genes associated with dietary restriction based on genetic manipulation experiments and gene expression profiling. Other projects include evolutionary studies, genome sequencing, cancer genomics, and gene expression analyses. The latter allowed them to identify a set of genes commonly altered during mammalian aging which represents a conserved molecular signature of aging. Software, namely in the form of scripts for Perl and SPSS, is made available for users to perform a variety of bioinformatic analyses potentially relevant for studying aging. The Perl toolkit, entitled the Ageing Research Computational Tools (ARCT), provides modules for parsing files, data-mining, searching and downloading data from the Internet, etc. Also available is an SPSS script that can be used to determine the demographic rate of aging for a given population. An extensive list of links regarding computational biology, genomics, gerontology, and comparative biology is also available.

Proper citation: Human Ageing Genomic Resources (RRID:SCR_007700) Copy   

•   Source: SciCrunch Registry

http://organelledb.lsi.umich.edu/

Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light.

Proper citation: Organelle DB (RRID:SCR_007837) Copy   

•   Source: SciCrunch Registry

http://www.dana.org/resources/brainweb/

BrainWeb provides information and links to validated sites about brain diseases and disorders. These include outside resources reviewed by scientific advisers, as well as articles in Dana publications. Sites listed in BrainWeb detail common brain diseases and disorders, and include general neuroscience and health resources. They offer descriptions of conditions, frequently asked questions, organization contacts, and sources for more information. BrainWeb and its links are suitable for lay readers, including students and educators, as well as people with brain disorders, their families, and caregivers.

Proper citation: Dana Foundation: BrainWeb (RRID:SCR_007996) Copy   

•   Source: SciCrunch Registry

http://archive.cnbc.cmu.edu/Resources/disordermodels/index.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This site aims to provide a discussion and source list for connectionist and neural network models of disorders associated with mental or brain conditions. Recent connectionist and neural network models of behavior, information processing patterns, and brain activity present in people with cognitive, affective, brain, and behavioral disorders are reviewed on this web site. Ways that assumptions regarding normal and disordered behavior may be represented in connectionist models are discussed for features of various disorders. Similarities and differences between the models and criteria for their evaluation are presented, and suggestions for inclusion of information which may help to make these models more directly comparable in the future are considered. References to Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders include: General Neural Network Information Reviews, General Introductions, and Calls for More Connectionist Models of Mental Disorders Models of Psychopathologies and Psychiatric Disorders Models of Cognitive, Affective, Brain, and Behavioral Disorders Not Associated with Psychopathology Additionally, Web Sites for Neural Network Modelers of Disorder are provided.

Proper citation: Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders (RRID:SCR_008088) Copy   

•   Source: SciCrunch Registry