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http://mirnamap.mbc.nctu.edu.tw

A database of experimentally verified microRNAs and miRNA target genes in human, mouse, rat, and other metazoan genomes. In addition to known miRNA targets, three computational tools previously developed, such as miRanda, RNAhybrid and TargetScan, were applied for identifying miRNA targets in 3'-UTR of genes. In order to reduce the false positive prediction of miRNA targets, several criteria are supported for filtering the putative miRNA targets. Furthermore, miRNA expression profiles can provide valuable clues for investigating the properties of miRNAs, such tissue specificity and differential expression in cancer/normal cell. Therefore, we performed the Q-PCR experiments for monitoring the expression profiles of 224 human miRNAs in eighteen major normal tissues in human. The cross-reference between the miRNA expression profiles and the expression profiles of its target genes can provide effective viewpoint to understand the regulatory functions of the miRNA.

Proper citation: miRNAMap (RRID:SCR_003156) Copy   

•   Source: SciCrunch Registry

http://ratmap.gen.gu.se/

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 2, 2016. Database for defining official rat gene symbols. It includes rat gene symbols from three major sources: the Rat Genome Database (RGD), Ensembl, and NCBI-Gene. All rat symbols are compared with official symbols from orthologous human genes as specified by the Human Gene Nomenclature Committee (HGNC). Based on the outcome of the comparisons, a rat gene symbol may be selected. Rat symbols that do not match a human ortholog undergo a strict procedure of comparisons between the different rat gene sources as well as with the Mouse Genome Database (MGD). For each rat gene this procedure results in an unambiguous gene designation. The designation is presented as a status level that accompanies every rat gene symbol suggested in the database. The status level describes both how a rat symbol was selected, and its validity. Rat Gene Symbol Tracker approves rat gene symbols by an automatic procedure. The rat genes are presented with links to RGD, Ensembl, NCBI Gene, MGI and HGNC. RGST ensures that each acclaimed rat gene symbol is unique and follows the guidelines given by the RGNC. To each symbol a status level associated, describing the gene naming process.

Proper citation: Rat Gene Symbol Tracker (RRID:SCR_003261) Copy   

•   Source: SciCrunch Registry

http://dire.dcode.org

Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data.

Proper citation: Distant Regulatory Elements (RRID:SCR_003058) Copy   

•   Source: SciCrunch Registry

http://www.chibi.ubc.ca/Gemma

Resource for reuse, sharing and meta-analysis of expression profiling data. Database and set of tools for meta analysis, reuse and sharing of genomics data. Targeted at analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results.

Proper citation: Gemma (RRID:SCR_008007) Copy   

•   Source: SciCrunch Registry

http://www.brainnav.com

THIS RESOURCE IS NO LONGER IN SERVICE, documented December 31, 2013. An interactive atlas and 3D brain software for research, structure analysis, and education, it offers six atlases representing four species: the mouse, rat, monkey and human. The stereotaxic coordinates atlases are available for all four species and the rodent models have additional chemoarchitectonic atlases. BrainNavigator helps locate specific areas of the brain, making visualizing and experimental planning in the brain easier. *Plan: Browse 6 Atlases, Visualize with 3D models, Search Literature, Analyze gene expression, Identify connections *Publish: Access reference tools, Use and print images for publication, Search literature *Propose: Use and print images for proposals, Search literature, Locate gene expression in 2D and 3D, Identify connections *Produce: Simulate injections, Customize new coordinates, virtually slice sections, overlay atlas maps on your own images, create personal atlas maps With BrainNavigator, you''ll gain 24/7 access to their powerful 3D brain interactive software tool that helps further research in the neurosciences. In addition, their vast library of widely respected and referenced brain publications will provide a plethora of information on the most current brain research available. As publisher of the gold standard in brain atlas publications authored by the team around the leading brain cartographers George Paxinos and Charles Watson, they are pleased to bring an advanced tool to today''s neuroscientists and educators. Combining atlas content and 3D capabilities based on technologies from the Allen Institute for Brain Science, this online workflow solution brings brain research, analysis and education tools to your fingertips.

Proper citation: BrainNavigator (RRID:SCR_008289) Copy   

•   Source: SciCrunch Registry

https://irp.drugabuse.gov/OTTC/rats.php

Core facility and data repository which creates and characterizes transgenic rats for use in models of neurological diseases, such as addiction and neurodegeneration. Researchers can request strain(s) from RRRC or go to the Transgenic Rat Request page.

Proper citation: Optogenetics and Transgenic Technology Core (RRID:SCR_014785) Copy   

•   Source: SciCrunch Registry

http://corefacilities.case.edu/animal.php

A set of core facilities of Case Western Reserve University School of Medicine which allows users to create and analyze in vivo animal models. The various facilities provide animal care, transgenic models, imaging, irradiation, and phenotyping for research concerning such topics as cancer, metabolic processes, and behavior. In vivo animals provided include mice, zebrafish, and rodents.

Proper citation: CWRU In Vivo Animal Facilities (RRID:SCR_014209) Copy   

•   Source: SciCrunch Registry

http://drtc.bsd.uchicago.edu/islet-cell-biology-core-about/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 7,2024. Core which provides services and hands-on training in the isolation and functional characterization of pancreatic islets from normal and diabetic humans and mice. It also maintains a repository of insulinoma cell lines for distribution. It puts emphasis on facilitating studies of primary islet cells and it has developed many unique tools and techniques for carrying such studies including novel animals models, biophysical methods and a library of adenovirus-based expression constructs for studying beta-cell function.

Proper citation: University of Chicago Diabetes Research and Training Center Islet Cell Biology Core (RRID:SCR_015132) Copy   

•   Source: SciCrunch Registry

http://diabetesresearchcenter.dom.wustl.edu/translational-diagnostics-core/

Core provides range of assays for human and animal hormones, peptides, and metabolites related to metabolic disorders.

Proper citation: Washington University School of Medicine Diabetes Research Center Translational Diagnostics Core (RRID:SCR_015161) Copy   

•   Source: SciCrunch Registry

http://livercenter.yale.edu/core-facilities/cellular-molecular-physiology-core-facility.aspx

Core facility that provides technical expertise, equipment and personnel to Liver Center Investigators who wish to work with animal models of liver disease, isolated liver cells, or gene expression in liver tissue. The Cell Isolation sub-core isolates hepatocytes and non-parenchymal liver cells primarily from rat and mouse, while the Molecular Biology sub-core provides equipment and expertise to Liver Center members in a centralized facility.

Proper citation: Yale Liver Center Cellular and Molecular Physiology Core (RRID:SCR_015258) Copy   

•   Source: SciCrunch Registry

https://www.tfcheckpoint.org/

Collection of transcription factors annotated according to experimental and other evidence on their function as true DbTFs. Provides reference for both small scale experiments and genome scale studies. Curated compendium of specific DNA-binding RNA polymerase II transcription factors.

Proper citation: tfcheckpoint (RRID:SCR_023880) Copy   

•   Source: SciCrunch Registry

https://www.signalingpathways.org/ominer/query.jsf

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 25, 2022.Software tool as knowledge environment resource that accrues, develops, and communicates information that advances understanding of structure, function, and role in disease of nuclear receptors (NRs) and coregulators. It specifically seeks to elucidate roles played by NRs and coregulators in metabolism and development of metabolic disorders. Includes large validated data sets, access to reagents, new findings, library of annotated prior publications in field, and journal covering reviews and techniques.As of March 20, 2020, NURSA is succeeded by the Signaling Pathways Project (SPP).

Proper citation: Nuclear Receptor Signaling Atlas (RRID:SCR_003287) Copy   

•   Source: SciCrunch Registry

http://www.norc.uab.edu/corefacilities/animalmodels

Core that provides specialized expertise in the use of animal models and instrumentation to facilitate animal research related to nutrition and obesity.

Proper citation: University of Alabama at Birmingham Nutrition and Obesity Research Center Animal Models Core (RRID:SCR_015466) Copy   

•   Source: SciCrunch Registry

http://appris.bioinfo.cnio.es/

A database that houses annotations of human splice isoforms. It adds reliable protein structural and functional data and information from cross-species conservation. A visual representation of the annotations for each gene allows users to easily identify functional changes brought about by splicing events. In addition to collecting, integrating and analyzing reliable predictions of the effect of splicing events, it also selects a single reference sequence for each gene, termed the principal isoform, based on the annotations of structure, function and conservation for each transcript.

Proper citation: APPRIS (RRID:SCR_012019) Copy   

•   Source: SciCrunch Registry

http://compartments.jensenlab.org/Downloads

Web resource that integrates evidence on protein subcellular localization from manually curated literature, high-throughput screens, automatic text mining, and sequence-based prediction methods. All evidence is mapped to common protein identifiers and Gene Ontology terms, and further unify it by assigning confidence scores that facilitate comparison of the different types and sources of evidence and visualize these scores on a schematic cell.

Proper citation: COMPARTMENTS Subcellular localization database (RRID:SCR_015561) Copy   

•   Source: SciCrunch Registry

http://www.civm.duhs.duke.edu/

Biomedical technology research center dedicated to the development of novel imaging methods for the basic scientist and the application of the methods to important biomedical questions. The CIVM has played a major role in the development of magnetic resonance microscopy with specialized MR imaging systems capable of imaging at more than 500,000x higher resolution than is common in the clinical domain. The CIVM was the first to demonstrate MR images using hyperpolarized 3He which has been moved from mouse to man with recent clinical trials performed at Duke in collaboration with GE. More recently the CIVM has developed the molecular imaging workbench---a system dedicated to multimodality cardiopulmonary imaging in the rodent. Their collaborators are employing these unique imaging systems in an extraordinary range of mouse and rat models of neurologic disease, cardiopulmonary disease and cancer to illuminate the underlying biology and explore new therapies.

Proper citation: Center for In Vivo Microscopy (RRID:SCR_001426) Copy   

•   Source: SciCrunch Registry

http://bpg.utoledo.edu/~afedorov/lab/eid.html

Data sets of protein-coding intron-containing genes that contain gene information from humans, mice, rats, and other eukaryotes, as well as genes from species whose genomes have not been completely sequenced. This is a comprehensive and convenient dataset of sequences for computational biologists who study exon-intron gene structures and pre-mRNA splicing. The database is derived from GenBank release 112, and it contains protein-coding genes that harbor introns, along with extensive descriptions of each gene and its DNA and protein sequences, as well as splice motif information. They have created subdatabases of genes whose intron positions have been experimentally determined. The collection also contains data on untranslated regions of gene sequences and intron-less genes. For species with entirely sequenced genomes, species-specific databases have been generated. A novel Mammalian Orthologous Intron Database (MOID) has been introduced which includes the full set of introns that come from orthologous genes that have the same positions relative to the reading frames.

Proper citation: EID: Exon-Intron Database (RRID:SCR_002469) Copy   

•   Source: SciCrunch Registry

http://www.temporal-lobe.com/

Interactive diagram containing existing knowledge of hippocampal-parahippocampal connections in which any connection can be turned on or off at the level of cortical layers. It includes references for each connection.

Proper citation: Temporal-Lobe: Hippocampal - Parahippocampal Neuroanatomy of the Rat (RRID:SCR_002816) Copy   

•   Source: SciCrunch Registry

http://bluebrain.epfl.ch/

A Swiss-led project with the aim of reverse engineering the mammalian brain and achieving a complete virtual human brain. The researchers have demonstrated the validity of their method by developing a realistic model of a rat cortical column, consisting of about 10,000 neurons. The eventual goal is to simulate systems of millions and hundreds of millions of neurons. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. In five years of work, Henry Markram's team has perfected a facility that can create realistic models of one of the brain's essential building blocks. This process is entirely data driven and essentially automatically executed on the supercomputer. Meanwhile the generated models show a behavior already observed in years of neuroscientific experiments. These models will be basic building blocks for larger scale models leading towards a complete virtual brain.

Proper citation: Blue Brain Project (RRID:SCR_002994) Copy   

•   Source: SciCrunch Registry

http://spine.rutgers.edu/microarray/

Database which provides on-line searching of microarray datasets generated from rat spinal cord after contusion injury. Both the primary injury site and a site 5 mm distal to the injury site were assayed. Tissue was obtained from Long Evans rats subject to spinal cord contusion injury using the MASCIS impactor (formerly known as the NYU impactor). RNA expression was assayed at the site of injury and distal to the site of injury using the Affymetrix Rat Neuro U34 chip.

Proper citation: Gene Expression Profiling in Spinal Cord Injury (RRID:SCR_003260) Copy   

•   Source: SciCrunch Registry