Tools   Select Another Resource Report Type

http://agricola.nal.usda.gov/

A database, catalog and index to the collections of the National Agricultural Library, as well as a primary public source for world-wide access to agricultural information. This database resource covers materials in all formats and periods, including printed works from as far back as the 15th century. AGRICOLA is a bibliographic database of citations to the agricultural literature created by the National Agricultural Library and its cooperators. The records describe publications and resources encompassing all aspects of agriculture and allied disciplines, including animal and veterinary sciences, entomology, plant sciences, forestry, aquaculture and fisheries, farming and farming systems, agricultural economics, extension and education, food and human nutrition, and earth and environmental sciences. Although the NAL Catalog (AGRICOLA) does not contain the text of the materials it cites, thousands of its records are linked to full-text documents online, with new links added daily. The NAL Catalog (AGRICOLA) is organized into two bibliographic data sets: *The NAL Online Public Access Catalog (AGRICOLA NAL) contains citations to books, audiovisuals, serials, and other materials, most of which are in the Library''s collection. (The Catalog does contain some records for items not held at NAL.) *The Article Citation Database (AGRICOLA IND) includes citations, many with abstracts, to journal articles (see Journals Indexed in AGRICOLA), book chapters, reports, and reprints, selected primarily from the materials found in the NAL Catalog.

Proper citation: AGRICOLA (RRID:SCR_008158) Copy   

•   Source: SciCrunch Registry

http://mips.gsf.de/services/genomes/uwe25/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. This is the official database of the environmental chlamydia genome project. This resource provides access to finished sequence for Parachlamydia-related symbiont UWE25 and to a wide range of manual annotations, automatical analyses and derived datasets. Functional classification and description has been manually annotated according to the Annotation guidelines. Chlamydiae are the major cause of preventable blindness and sexually transmitted disease. Genome analysis of a chlamydia-related symbiont of free-living amoebae revealed that it is twice as large as any of the pathogenic chlamydiae and had few signs of recent lateral gene acquisition. We showed that about 700 million years ago the last common ancestor of pathogenic and symbiotic chlamydiae was already adapted to intracellular survival in early eukaryotes and contained many virulence factors found in modern pathogenic chlamydiae, including a type III secretion system. Ancient chlamydiae appear to be the originators of mechanisms for the exploitation of eukaryotic cells. Environmental chlamydiae have recently been recognized as obligate endosymbionts of free-living amoebae and have been implicated as potential human pathogens. Environmental chlamydiae form a deep branching evolutionary lineage within the medically important order Chlamydiales. Despite their high diversity and ubiquitous distribution in clinical and environmental samples only limited information about genetics and ecology of these microorganisms is available. The Parachlamydia-related Acanthamoeba symbiont UWE25 was therefore selected as representative environmental chlamydia strain for whole genome sequencing. Comparative genome analysis was performed using PEDANT and simap. Sponsors: The environmental chlamydia genome project was funded by the bmb+f (German Federal Ministry of Education and Research) and is part of the Competence Network PathoGenoMiK.

Proper citation: Protochlamydia amoebophila UWE25 (RRID:SCR_008222) Copy   

•   Source: SciCrunch Registry

http://mpr.nci.nih.gov/MPR/BrowseProteins.aspx

THIS RESOURCE IS NO LONGER IN SERVICE, documented on 6/24/13. A repository of information on commercially available phospho-specific antibodies to human phosphorylation sites. It provides a BLAST search for phosphorylation sites using as query the amino acid sequence surrounding the site. It also provides direct links to the relevant antibodies from many companies including BD Pharmingen, Biosource International, Cell Signaling Technology (CST), Santa Cruz Biotechnologies, Upstate Biotechnology.

Proper citation: Mammalian Phosphorylation Resource (RRID:SCR_008210) Copy   

•   Source: SciCrunch Registry

http://chromium.lovd.nl/LOVD2/home.php?select_db=CDKN2A

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The CDKN2A Database presents the germline and somatic variants of the CDKN2A tumor suppressor gene recorded in human disease through June 2003, annotated with evolutionary, structural, and functional information, in a format that allows the user to either download it or manipulate it for their purposes online. The goal is to provide a database that can be used as a resource by researchers and geneticists and that aids in the interpretation of CDKN2A missense variants. Most online mutation databases present flat files that cannot be manipulated, are often incomplete, and have varying degrees of annotation that may or may not help to interpret the data. They hope to use CDKN2A as a prototype for integrating computational and laboratory data to help interpret variants in other cancer-related genes and other single nucleotide polymorphisms (SNPs) found throughout the genome. Another goal of the lab is to interpret the functional and disease significance of missense variants in cancer susceptibility genes. Eventually, these results will be relevant to the interpretation of single nucleotide polymorphisms (SNPs) in general. The CDKN2A locus is a valuable model for assessing relationships among variation, structure, function, and disease because: Variants of this gene are associated with hereditary cancer: Familial Melanoma (and related syndromes); somatic alterations play a role in carcinogenesis; allelic variants occur whose functional consequences are unknown; reliable functional assays exist; and crystal structure is known. All variants in the database are recorded according to the nomenclature guidelines as outlined by the Human Genome Variation Society. This database is currently designed for research purposes only and is not yet recommended as a clinical resource. Many of the mutations reported here have not been tested for disease association and may represent normal, non-disease causing polymorphisms.

Proper citation: CDKN2A Database (RRID:SCR_008179) Copy   

•   Source: SciCrunch Registry

http://jbirc.jbic.or.jp/hinv/ppi/

The PPI view displays H-InvDB human protein-protein interaction (PPI) information. It is constructed by assigning interaction data to H-InvDB proteins which were originally predicted from transcriptional products generated by the H-Invitational project. The PPI view is now providing 32,198 human PPIs comprised of 9,268 H-InvDB proteins. H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. Sponsors: This research is financially supported by the Ministry of Economy, Trade and Industry of Japan (METI), the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and the Japan Biological Informatics Consortium (JBIC). Also, this work is partly supported by the Research Grant for the RIKEN Genome Exploration Research Project from MEXT to Y.H. and the Grant for the RIKEN Frontier Research System, Functional RNA research program.

Proper citation: H-Invitational Database: Protein-Protein Interaction Viewer (RRID:SCR_008054) Copy   

•   Source: SciCrunch Registry

http://amazonia.montp.inserm.fr/

A web interface and associated tools for easy query of public human transcriptome data by keyword, through thematic pages with list annotations. Amazonia provides a thematic entry to public transcriptomes: users may for instance query a gene on a Stem Cells page, where they will see the expression of their favorite gene across selected microarray experiments related to stem cell biology. This selection of samples can be customized at will among the 6331 samples currently present in the database. Every transcriptome study results in the identification of lists of genes relevant to a given biological condition. In order to include this valuable information in any new query in the Amazonia database, they indicate for each gene in which lists it is included. This is a straightforward and efficient way to synthesize hundreds of microarray publications., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: AmaZonia: Explore the Jungle of Microarrays Results (RRID:SCR_008405) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/asd/altextron/indexhtml

THIS RESOURCE IS NO LONGER IN SERVICE. A computer generated high quality dataset of human transcript-confirmed constitutive and alternative exons and introns. The alternative events have been delineated and annotated with various characterizations. AltExtron is the prototype database for the production version AltSplice. AltExtron is more geared towards investigating various aspects of the methodologies used, and focuses in general on the biology behind alternative splicing. The complete data used in this work is available for downloading in several flat files, containing human genes, introns, exons, isoform events, human-mouse comparisons, and additional information on GC-AG introns. Two versions of AltExtron data are available - one as prototype (for human) and another as latest build (for human, drosophila, mouse, and others) based on EMBL/GenBank (Feb 2003).

Proper citation: AltExtron Database (RRID:SCR_008404) Copy   

•   Source: SciCrunch Registry

http://www.lamhdi.org/

THIS RESOURCE IS NO LONGER IN SERVICE, it has been replaced by Monarch Initiative. LAMHDI, the initiative to Link Animal Models to Human DIsease, is designed to accelerate the research process by providing biomedical researchers with a simple, comprehensive Web-based resource to find the best animal model for their research. LAMDHI is a free, Web-based, resource to help researchers bridge the gap between bench testing and human trials. It provides a free, unbiased resource that enables scientists to quickly find the best animal models for their research studies. LAMHDI includes mouse data from MGI, the Mouse Genome Informatics website; zebrafish data from ZFIN, the Zebrafish Model Organism Database; rat data from RGD, the Rat Genome Database; yeast data from SGD, the Saccharomyces Genome Database; and fly data from FlyBase. LAMHDI.org is operational today, and data is added regularly. Enhancements are planned to let researchers contribute their knowledge of the animal models available through LAMHDI. The LAMHDI goal is to allow researchers to share information about and access to animal models so they can refine research and testing, and reduce or replace the use of animal models where possible. LAMHDI Database Search: LAMHDI brings together scientifically validated information from various sources to create a composite multi-species database of animal models of human disease. To do this, the LAMHDI database is prepared from a variety of sources. The LAMHDI team takes publicly available data from OMIM, NCBI''s Entrez Gene database, Homologene, and WikiPathways, and builds a mathematical graph (think of it as a map or a web) that links these data together. OMIM is used to link human diseases with specific human genes, and Entrez provides universal identifiers for each of those genes. Human genes are linked to their counterpart genes in other species with Homologene, and those genes are linked to other genes tentatively or authoritatively using the data in WikiPathways. This preparatory work gives LAMHDI a web of human diseases linked to specific human genes, orthologous human genes, homologous genes in other species, and both human and non-human genes involved in specific metabolic pathways associated with those diseases. LAMHDI includes model data that partners provide directly from their data structures. For instance, MGI provides information about mouse models, including a disease for each model, as well as some genetic information (the ID of the model, in fact, identifies one or more genes). ZFIN provides genetic information for each zebrafish model, but no diseases, so zebrafish models are integrated by using the genes as the glue. For instance, a zebrafish model built to feature the zebrafish PKD2 gene would plug into the larger disease-gene map at the node representing the zebrafish PKD2 gene, which is connected to the node representing the human PKD2 gene, which in turn is connected to the node representing the human disease known as polycystic kidney disease. (Some of the partner data LAMHDI receives can even extend the base map. MGI provides a disease for every model, and in some cases this allows the creation of a disease-to-gene relationship in the LAMHDI database that might not already be documented in the OMIM dataset.) With curatorial and model information in hand, LAMHDI runs a lengthy automated process that exhaustively searches for every possible path between each model and each disease in the data, up to a set number of hops, producing for each disease-to-model pair a set of links from the disease to the model. The algorithm avoids circular paths and paths that include more than one disease anywhere in the middle of the path. At the end of this phase, LAMHDI has a comprehensive set of paths representing all the disease-to-model relationships in the data, varying in length from one hop to many hops. Each disease-to-model path is essentially a string of nodes in the data, where each node represents a disease, a gene, a linkage between genes (an orthologue, a homologue, or a pathway connection, referred to as a gene cluster or association), or a model. Each node has a human-friendly label, a set of terms and keywords, and - in most cases - a URL linking the node to the data source where it originated. When a researcher submits a search on the LAMHDI website, LAMHDI searches for the user''s search terms in its precomputed list of all known disease-to-model paths. It looks for the terms not only in the disease and model nodes, but also in every node along each path. The complete set of hits may include multiple paths between any given disease-to-model pair of endpoints. Each of these disease-to-model pair sets is ordered by the number of hops it involves, and the one involving the fewest hops is chosen to represent its respective disease-to-model pair in the search results presented to the user. Results are sorted by scores that represent their matches. The number of hops is one barometer of the strength of the evidence linking the model and the disease; fewer hops indicates the relationship is stronger, more hops indicates it may be weaker. This indicator works best for comparing models from a single partner dataset: MGI explicitly identifies a disease for each mouse model, so there can be disease-to-model hits for mice that involve just one hop. Because ZFIN does not explicitly identify a disease for each model, no zebrafish model will involve fewer than four hops to the nearest disease, from the zebrafish model to a zebrafish gene to a gene cluster to a human gene to a human disease.

Proper citation: LAMHDI: The Initiative to Link Animal Models to Human DIsease (RRID:SCR_008643) Copy   

•   Source: SciCrunch Registry

http://alizadehlab.stanford.edu/

This is an open-source Mouse Exonic Evidence-Based Oligonucleotide Chip (MEEBOChip), and are in the process of building the human counterpart, HEEBOChip. The set of 70mers for MEEBOChip is already available from Illumina, Inc., with synthesis of HEEBOChip 70mers in progress. Both arrays are based on a novel selection of exonic long-oligonucleotides (70-mers) from a genomic annotation of the corresponding complete genome sequences, using a transcriptome-based annotation of exon structure for each genomic locus. Using a combination of existing and custom-tailored tools and datasets (including millions of mRNA and EST sequences), we built and performed a systematic examination of transcript-supported exon structure for each genomic locus at the base-pair level (i.e., exonic evidence). This strategy allowed them to select both constitutive and in many cases alternative exons for nearly every gene in the corresponding genome (e.g., protocadherin locus), allowing an unprecedented exploration of human and mouse biology. Furthermore, they used experimentally derived data to hone the selection of these 70mers, helping maximize their performance under typical fluorescent labeling and hybridization conditions. Specifically, they applied and refined the ArrayOligoSelector algorithm from Joe DeRisis laboratory to select 70mers, considering not only their uniqueness (i.e., hybridization specificity) within the content of the entire genome, but also to overcome the known biases of labeling and hybridization methods (e.g., 3-biased reverse transcription and in vitro transcription reactions).

Proper citation: Alizadehlab: MeeboChip and HeeboChip Open Source Project (RRID:SCR_008384) Copy   

•   Source: SciCrunch Registry

http://www.molecularbrain.org/

MolecularBrain is an attempt to collect, collates, analyze and present the microarray derived gene expression data from various brain regions side by side. Transcription Profile of any gene in Mouse (online) and Human Brain (not yet) can be accessed as a histogram along with links to access various aspects of that gene. The expression levels were calculated from microarray data deposited at GEO (Gene expression omnibus). The molecular brain database could be searched using the built in search tool with the terms Entrez GeneID, gene symbol, synonym or description. Gene information along with their expression values can be also accessed from the alphabetical list of gene symbols on the footer. The protocol and GEO sample information is available.

Proper citation: Molecular Brain: Transcription Profiles of Mouse and Human Brains (RRID:SCR_008689) Copy   

•   Source: SciCrunch Registry

http://www.cmbi.ru.nl/GeneSeeker/

The GeneSeeker allows you to search across different databases simultaneously, given a known human genetic location and expression/phenotypic pattern. The GeneSeeker returns any found gene names which are located on the specified location and expressed in the specified tissue. To search for more expression location in one search, just enter them in the textbox for the expression location and separate them with logical operators (and, or, not). You can specify as many tissues as you want, the program starts 20 queries simultaneously, and then waits for a query to finish before starting another query, to keep server loads to a minimum. You can also search only for expression, just leave the cytogenetic location fields blank, and do the query. If you only want to look for one cytogenetic location, only fill in the first location field, and the GeneSeeker will search with only this one. Housekeeping genes , found in Swissprot can be excluded, or genes that are to be excluded can be specified. Human chromosome localizations are translated with an oxford-grid to mouse chromosome localizations, and then submitted to the Mgd. Sponsors: GeneSeeker is a service provided by the Centre for Molecular and Biomolecular Informatics (CMBI).

Proper citation: GeneSeeker (RRID:SCR_008347) Copy   

•   Source: SciCrunch Registry

https://abctb.org.au/abctbNew2/default.aspx

A tissue bank which houses and supplies cancerous tissue for use by the research community. Along with tissue, the bank collects clinical history, lifestyle factors, breast pathology, treatment information, and follow up information.

Proper citation: Australia Breast Cancer Tissue Bank (RRID:SCR_000926) Copy   

•   Source: SciCrunch Registry

http://www.catstests.com/Product09.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Memory impairment is one of the most common complaints after head injury, and accordingly, individuals may attempt to feign memory impairment or exaggerate symptoms of memory impairment. This free neuropsychological evaluation software contains some of the most common tests used to detect malingering of memory impairment. This software package contains a number of tests of declarative memory that assess recall of information that has a personal and temporal context. The typical example of declarative tests used for detecting malingering are the auditory verbal learning test and forced choice test. These tests are included in Symptom Validity along with other tests of declarative memory (e.g., prose recall, questionnaire tests). Unfortunately, classification of individuals is not completely accurate even with the use of multiple declarative memory tests. Thus, other tests that can complement previously used declarative memory measures by enhancing classification accuracy may be of great value to the neuropsychologist assessing the possibility of malingering. Your software contains two tests of nondeclarative memory that have been previously shown to be useful in the detection of malingered memory deficits (Davis et al., 1997a, 1997b). These tests take advantage of the general laypersons misunderstanding of the test performance of a truly memory impaired individual. That is, amnesic patients have been shown to perform normally on these nondeclarative memory tests and this is counterintuitive to the memory performance expectations of the general layperson. The nondeclarative tests included in Symptom Validity are two repetition priming tests of word stem completion and two tests of pattern categorization learning. Note: At this time this program will run only on Windows 98. We are currently working on a version that will run under the newer operating systems.

Proper citation: Colorado Assessment Tests - Symptom Validity (RRID:SCR_003520) Copy   

•   Source: SciCrunch Registry

http://www.catstests.com/Product07.htm

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. The modifiable n-Back test is free software presumed to measure executive control of the updating of information in working memory. The task requires the participant to monitor some dimension (e.g. content, position, numerosity) of a temporally present sequence of items, responding when the currently presented item matches on the relevant dimension an item that was just recently presented. The match can be with an item present either 1 back, 2 back, 3 back or n back. Considerable flexibility is provided to the experimenter in specifying various parameters of the experiment (e.g. presentation rate, n back, content, position, color). The n-Back test is presumed to measure executive control of the updating of information in working memory. (Shimamura, 2000) Watter, Geffen and Geffen (2001) based on their work with the P300 event-related-potential have suggested that the n-Back is a dual task in that latencies of the P300 did not change with increasing task difficulty, that is memory load while amplitude did reflecting in their view a reallocation of attention and processing capacity away from the matching subtask. The n-Back task is one in which the participant is presented a series of stimuli at a constant rate. The task of the participant is to determine if the currently presented stimulus is similar (along some dimension) to one they have recently (usually one, two or three positions back) seen in the stream. Match criteria can be dimensions like material, position on the screen, color or some combination. CATs n-Back allows for substantial control over the position in which the material is presented (nine different positions), the nature of the material (any character or dingbat string, and any color. The experimenter can set the speed at which the sequence is presented including both the stimulus on time and the inter-stimulus interval. Participant responses can be made either using the keyboard or the mouse. At this time no normative data is available for this test.

Proper citation: Colorado Assessment Tests: n-Back (RRID:SCR_003517) Copy   

•   Source: SciCrunch Registry

http://americaninstituteofstress.org/interviews/

From time to time the Editor of Health and Stress interviews leaders in the field of stress management on a variety of topics for inclusion in our publications. Some interviews are listed below. For a complete list of interviews and content, you must be a member of AIS and access the Archives.

Proper citation: American Institute of Stress Interviews (RRID:SCR_005420) Copy   

•   Source: SciCrunch Registry

http://publications.nigms.nih.gov/computinglife/

An NIGMS magazine that showcases the exciting ways that scientists are using the power of computers to expand our knowledge of biology and medicine. From text messaging friends to navigating city streets with GPS technology, we''re all living the computing life. But as we''ve upgraded from snail mail and compasses, so too have scientists. Computer advances now let researchers quickly search through DNA sequences to find gene variations that could lead to disease, simulate how flu might spread through your school and design three-dimensional animations of molecules that rival any video game. By teaming computers and biology, scientists can answer new and old questions that could offer insights into the fundamental processes that keep us alive and make us sick. This booklet introduces you to just some of the ways that physicists, biologists and even artists are computing life. Each section focuses on a different research problem, offers examples of current scientific projects and acquaints you with the people conducting the work. You can follow the links for online extras and other opportunities to learn aboutand get involved inthis exciting new interdisciplinary field.

Proper citation: NIGMS Computing Life (RRID:SCR_005850) Copy   

•   Source: SciCrunch Registry

http://cancer.case.edu/research/sharedresources/tissue/services/

A combined tissue bank and core facility which provides annotated human tissue samples for research purposes. The facility also offers high quality tissue procurement, tissue microarray, histology, immunohistochemistry, photomicroscopy, and laser capture microdissection services for both human and animal tissues to biomedical investigators conducting non-clinical research studies. The TPHC offers instruction to researchers on how to incorporate human tissue into research activities and how to work within the boundaries of patient confidentiality and other regulatory issues. The purpose of the TPHC is to provide tissue collection and processing services to intramural and extramural researchers studying cancer and other diseases. Normal, diseased, benign and malignant tissues are obtained, and matched normal adjacent tissues and tissues from different organ sites from the same donor can also be provided when available. Tissue samples are prepared according to user-specified protocols and can be fresh in a medium of choice, fixed in formalin, quick frozen in the vapor phase of liquid nitrogen or snap-frozen by plunging the sample into liquid nitrogen. Frozen tissues are held in the vapor phase of the liquid nitrogen. Tissues can also be embedded, cut and mounted on slides, and stained upon request. Tissue Microarray (TMA) services are offered for the design and construction of TMAs meeting specific project needs. Basic demographic data (age, race, gender) and histopathologic data from Surgical Pathology Reports are provided by the TPHC with the tissues.

Proper citation: Case Western Reserve Tissue Procurement and Histology Core Facility (RRID:SCR_005344) Copy   

•   Source: SciCrunch Registry

http://www.vetmed.wisc.edu/ms-phd/

The Comparative Biomedical Sciences Graduate Degree program provides exceptional graduate research training in core areas of animal and human health including genomics, immunology, molecular and cellular biology, physiology, infectious disease, neuroscience, pharmacology and toxicology, and oncology. Seventy-five faculty members in a diverse number of UW departments including Bacteriology, Biochemistry, Medical Microbiology and Immunology, Medicine, Oncology, Pathology, Radiology in addition to the 4 departments of the School of Veterinary Medicine are trainers in the program. These internationally recognized professors, as well as the integrative nature of our program, provide outstanding and unique research opportunities for our students. Because the University of Wisconsin is consistently ranked as one of the best 10 graduate institutions in the nation, the strength of our program is not only due to the superb research and teaching of our faculty but also due to the University as a whole. Approximately 55 students, most of whom are Ph.D. candidates, are currently enrolled in the program. Research strategies and academic curricula are tailored to the specific needs of each individual student. Graduates from our program are highly successful in the biotechnology industry and at top-ranked research institutions in the U.S. and abroad. The Comparative Biomedical Sciences Graduate Program offers a diverse number of research opportunities in multiple fields of study. A brief description of some of the major areas of research being performed by faculty affiliated with the Comparative Biomedical Sciences Graduate Program is provided below. Use the pull down menu above or click on the heading to find faculty members doing research in these areas. Sponsors: CBMS is supported by the University of Wisconsin

Proper citation: Comparative Biomedical Sciences Graduate Program (RRID:SCR_008304) Copy   

•   Source: SciCrunch Registry

http://www.tmslab.org/tmscore.php

At the Berenson-Allen Center for Noninvasive Brain Stimulation (CNBS) at Beth Israel Deaconess Medical Center and Harvard Medical School we have three distinct missions: Research, Education and Patient Care. Our research explores brain-behavior relations, brain plasticity and its modulation, employing different noninvasive brain stimulation techniques combined with careful task design, electroencephalography, and functional brain imaging. Educational efforts feature several Continuing Medical Education Courses including a week long intensive course in noninvasive brain stimulation offered 3 times per year. Our clinical program offers noninvasive brain stimulation for treatment of neuropsychiatric disorders such as depression and schizophrenia, epilepsy, and chronic pain. Clinical work also includes studies of central motor conduction time, cortical excitability, and noninvasive cortical mapping.

Proper citation: BIDMC Transcranial Magnetic Stimulation Core (RRID:SCR_011022) Copy   

•   Source: SciCrunch Registry

http://icmic.rad.jhmi.edu/

The vision of the JHU ICMIC is to combine state-of-the-art imaging capabilities with powerful molecular biology techniques to define strategies with intent to cure. It has drawn upon its human resources at JHU to create a center consisting of a multidisciplinary group of premier individuals with diverse skills focused on translating molecular capabilities into imaging possibilities with the single purpose of understanding and curing cancer. Nearly all of the investigators participating in this ICMIC have interactive collaborative projects with one or more of the other investigators. The synergism generated by the collective skills of this unique group of individuals will lead to significant advances in the understanding of cancer and its treatment. The JHU ICMIC structure consists of four interactive and closely related research components focused on hypoxia, HIF-1, and exploiting the hypoxia response element to target cancer cells through choline kinase inhibition. These research components are anchored by the participation of world renowned expertise in HIF-1. The research components utilize MR, PET and Optical Imaging technology to understand cancer vascularization, invasion and metastasis, to achieve effective cancer therapy. The center has selected developmental projects which are highly relevant to the goals of the ICMIC and interactive with the research components. Five resources devoted to adminstration, molecular biology, imaging, probes, and translational application provide the infrastructure to support the research activities of the ICMIC. Research Components in the JHU ICMIC: - Combining Anti-angiogenic therapy with siRNA targeting of choline kinase. - Imaging the Role of HIF-1 in Breast Cancer Progression - Imaging and Targeting Hypoxia in Solid Tumors - Molecular and Functional Imaging of the HER-2/neu Receptor The following are developmental projects currently taking place in ICMIC 1. Receptor imaging using nonparamagnetic MRI contrast agents (2003) 2. New imaging agents for prostate cancer (2003) 3. Non-invasive monitoring of therapeutic effect of siRNA-mediated radiation sensitization in human prostate cancer xenografts (2003) 4. Imaging of the endothelin receptor in cancer (2003) 5. Imaging studies of c-myc regulation of tumor metabolism (2003) 6. Imaging studies of anti-tumorigenic effects of anti-oxidants in vivo (2005) 7. Molecular Imaging with Magnetic Resonance Microsystems (2005) 8. Endogenous angiogenesis inhibitors (2005) 9. MR imaging and spectroscopy in detection and localization of prostate cancer: a prospective trial in patients undergoing cystoprostatectomy and radical prostatectomy. (2005) 10. A versatile visualization system for the analysis of multi-modality and multidimensional cancer imaging (2007) 11. Non-invasive imaging of CXCR4 expression in breast cancer (2007)

Proper citation: John Hopkins University, In-Vivo Cellular Molecular Imaging Center (RRID:SCR_013198) Copy   

•   Source: SciCrunch Registry