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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

(last updated: Oct 12, 2019)

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Resource NameResource TypeDescriptionKeywordsResource IDProper CitationParent OrganizationRelated ConditionFunding AgencyRelationReferenceWebsite StatusAlternate IDsAlternate URLsOld URLs
DGAP Resource, narrative resource, data or information resource, resource, experimental protocol, databaseProduce resources to unravel the interface between insulin action, insulin resistance and the genetics of type 2 diabetes including an annotated public database, standardized protocols for gene expression and proteomic analysis, and ultimately diabetes-specific and insulin action-specific DNA chips for investigators in the field. The project aims to identify the sets of the genes involved in insulin action and the predisposition to type 2 diabetes, as well as the secondary changes in gene expression that occur in response to the metabolic abnormalities present in diabetes. There are five major and one pilot project involving human and rodent tissues that are designed to: * Create a database of the genes expressed in insulin-responsive tissues, as well as accessible tissues, that are regulated by insulin, insulin resistance and diabetes. * Assess levels and patterns of gene expression in each tissue before and after insulin stimulation in normal and genetically-modified rodents; normal, insulin resistant and diabetic humans, and in cultured and freshly isolated cell models. * Correlate the level and patterns of expression at the mRNA and/or protein level with the genetic and metabolic phenotype of the animal or cell. * Generate genomic sequence from a panel of humans with type 2 diabetes focusing on the genes most highly regulated by insulin and diabetes to determine the range of sequence and expression variation in these genes and the proteins they encode, which might affect the risk of diabetes or insulin resistance. The DGAP project will define: * the normal anatomy of gene expression, i.e. basal levels of expression and response to insulin. * the morbid anatomy of gene expression, i.e., the impact of diabetes on expression patterns and the insulin response. * the extent to which genetic variability might contribute to the alterations in expression or to diabetes itself.gene, insulin action, predisposition, gene expression, metabolic abnormality, diabetes, insulin resistance, genetics, insulin, genetic variation, proteomics, genomics, affymetrix oligonucleotide array, microarray, protein, genomic sequence, data setSCR_003036( DGAP , RRID:SCR_003036) Dana-Farber Cancer Institute , Broad Institute , Harvard Medical School; Massachusetts; USA , University of Massachusetts Medical School; Massachusetts; USA , University of Southern Denmark; Odense; Denmark Type 2 diabetes, Normal, Insulin resistanceNIDDKrelated to: NIDDK Information Network, submitted by: NIDDK Information NetworkLast checked upnif-0000-30414
MicrosensResource, portal, organization portal, material resource, commercial organization, data or information resourceCommercial organization specializing in bacterial detection including tuberculosis, therapeutic protein and protein aggregation diseases. * Tools for rapid and simple bacteria and virus extraction including tuberculosis * Seprion technology for the detection and study of protein aggregates and protein aggregation diseases * LiMA technology for the ultra sensitive detection of bacteria and bacterial contaminationvirus, protein aggregate, protein, therapeutic proteinSCR_003906(Microsens, RRID:SCR_003906)Tuberculosis, Protein aggregation diseaserelated to: Predict-TBLast checked upnlx_158251
Tuberculosis DatabaseResource, data or information resource, databaseDatabase providing integrated access to genome sequence, expression data and literature curation for Tuberculosis (TB) that houses genome assemblies for numerous strains of Mycobacterium tuberculosis (MTB) as well assemblies for over 20 strains related to MTB and useful for comparative analysis. TBDB stores pre- and post-publication gene-expression data from M. tuberculosis and its close relatives, including over 3000 MTB microarrays, 95 RT-PCR datasets, 2700 microarrays for human and mouse TB related experiments, and 260 arrays for Streptomyces coelicolor. (July 2010) To enable wide use of these data, TBDB provides a suite of tools for searching, browsing, analyzing, and downloading the data.genomic, protein, blast, genome, gene, systems biology, gene expression, microarray, comparative analysis, regulatory network, metabolic network, epitope, expression profile, rt-pcr, gene regulation, genome browserSCR_006619(Tuberculosis Database, RRID:SCR_006619)Broad Institute , Stanford University School of Medicine; California; USA TuberculosisBill and Melinda Gates Foundationrelated to: SMD, BioCyc, listed by: re3data.orgReferences (2)Last checked upnif-0000-03537
VirusMINTResource, data or information resource, databaseA virus protein interactions database that collects and annotates all the interactions between human and viral proteins and integrates this information in the human protein interaction network. It uses the PSI-MI standard and is fully integrated with the MINT database. You can search for any viral or human protein by entering either common names or database identifiers or display a complete viral interactome.protein interaction, virus, proteinSCR_005987(VirusMINT, RRID:SCR_005987)University of Rome Tor Vergata; Rome; Italy Papilloma virus, Human immunodeficiency virus, Epstein-Barr virus, Hepatitis B virus, Hepatitis C virus, Herpes virus, Simian virus 40related to: PSI-MI, VirHostNet: Virus-Host Network, MINT, listed by: OMICtoolsPMID:18974184Last checked downnif-0000-03636, OMICS_01909
Pain Genes databaseResource, data or information resource, databaseDatabase of genes regulated by pain derived from published manuscripts describing results of pain-relevant knockout studies. The database has two levels of exploration: across-gene and within-gene. The across-gene level, the PainGenesdbSelector, is encountered first. All genes in the database can be accessed and sorted by their gene name, protein name, common names and acronyms, or genomic position (by navigating a graphic representation of the mouse genome). The gene and protein names can be selected from an alphabetical list, or by typing a text string into a search box.knock out mouse, pain sensation, mice, mutant, knockout, gene, genome, proteinSCR_004771(Pain Genes database, RRID:SCR_004771)McGill University; Montreal; Canada PainLouise Edwards Foundationrelated to: Monarch InitiativePMID:17574758Last checked upnlx_77039
UCL/UCLH Biobank for Studying Health and DiseaseResource, biomaterial supply resource, material resource, tissue bank, cell repositoryThe UCL/UCLH Biobank for Studying Health and Disease has been primarily established to support the Research Programme and scientific needs, of the Pathology Department UCLH & the UCL Cancer Institute. The establishment of the core programme enables a centralised approach to the management and integration of all research groups working within these institutions, providing appropriate structure and support. The biobank has policies and guidelines to guarantee compliance with HTA legislation and to ensure quality standards will be maintained. The biobank stores normal and pathological specimens, surplus to diagnostic requirements, from relevant tissues and bodily fluids, as well as human tissue used in xenograft experiments. Stored tissues include; snap-frozen or cryopreserved tissue, formalin-fixed tissue, paraffin-embedded tissues, and slides prepared for histological examination. Tissues include resection specimens obtained surgically or by needle core biopsy. Bodily fluids include; whole blood, serum, plasma, urine, cerebrospinal fluid, milk, saliva and buccal smears and cytological specimens such as sputum and cervical smears. Fine needle aspirates obtained from tissues and bodily cavities (eg. pleura and peritoneum) are also collected. Where appropriate the biobank also stores separated cells, protein, DNA and RNA isolated from collected tissues and bodily fluids described above. Some of the tissue and aspirated samples are stored in the diagnostic archive.specimen, pathology, tissue, bodily fluid, human tissue, xenograft, tissue, blood, serum, plasma, urine, cerebral spinal fluid, milk, saliva, buccal smear, sputum, cervical smear, pleura, peritoneum, cell, protein, dna, rna, snap-frozen, cryopreserved, formalin-fixed, paraffin-embedded, slide, normal, disease, cancer, frozenSCR_004610(UCL/UCLH Biobank for Studying Health and Disease, RRID:SCR_004610)University College London; London; United Kingdom Normal, Disease, Cancerlisted by: One Mind Biospecimen Bank ListingLast checked upnlx_143838
Windber Tissue BankResource, biomaterial supply resource, material resource, tissue bank, data or information resourceUnder the direction of Stella Somiari, Ph.D., the tissue bank at Windber Research Institute acquires and banks large numbers of high quality and well annotated normal and diseased tissue specimens. These specimens are obtained from fully informed and consented donors using Institutional Review Board (IRB) approved protocols and are accompanied by detailed clinical, family history and demographic information. The tissue bank has established Standard Operating Procedures (SOPs) for tissue acquisition, handling, processing, packaging and shipping. All collaborators at participating clinics/medical centers utilize these procedures to ensure that the integrity of the specimen is maintained. Tissue types in our collection include plasma, serum, tissue embedded in optimum cutting temperature (OCT), formalin fixed paraffin embedded, and flash frozen. We also isolate and bank tissue derived products such as DNA, RNA and protein for research. Very stringent SOPs are in place for the process of extraction of these tissue-derived products and for quality control/quality assurance (QA/QC). The WRI tissue bank currently has 5 isothermal freezers each with the capacity to store 36,000 specimens. For all specimens obtained from surgical procedures, routine histology is performed to obtain representative Hematoxylin and Eosin (H & E) stained sections for imaging/archiving. All H & E sections are imaged on the Trestle SL-50 imaging system and these images are available online to designated collaborative sites. A certified pathologist verifies all tissue specimens and WRI has telepathology capabilities, which can also be utilized for pathology verification when a second pathologist opinion is required to confirm specimen diagnosis. Other uses of the telepathology capabilities include the verification of Laser Capture Microdissection (LCM) sections (by pathologist) to ensure the correct areas are captured for research. The telepathology system at WRI is the Trestle Corporation's Medmicro system, which permits the pathologist to remotely view, navigate and share images at sub-micron resolution over standard internet connections in real-time.specimen, clinical data, family history, demographic data, tissue, plasma, serum, dna, rna, protein, optimum cutting temperature, formalin fixed paraffin embedded, frozen, normal, diseaseSCR_000509(Windber Tissue Bank, RRID:SCR_000509)Windber Research Institute Normal, Diseaselisted by: One Mind Biospecimen Bank ListingLast checked upnlx_29009
Capital BiosciencesResource, commercial organization, production service resource, biomaterial supply resource, tissue bank, service resource, material resource, data or information resourceBiological products including Cell Immortalization Products, Clinically Defined Human Tissue, cDNA ORF Clones, Premade Adenoviruses, Purified Proteins, Viral Expression Systems and others as well as services like Custom Recombinant Adenovirus Production, Custom Recombinant Lentivirus Production, Protein Detection and Quantification and Stable Cell Line Production for academic and governmental research institutes, pharmaceutical and biotechnology industry. Capital Biosciences offers most types of human tissues, normal and diseased, with extensive clinical history and follow up information. Standard specimen format: Snap-frozen(flash-frozen), Formalin fixed and paraffin embedded (FFPE) tissues, Blood and blood products, Bone marrow, Total RNA, Genomic DNA, Total Proteins, Primary cell cultures, Viable frozen tissue. Tumor tissue samples include: Bladder cancer, Glioblastoma, Medulloblastoma, Breast Carcinoma, Cervical Cancer, Colorectal Cancer, Endometrial Cancer, Esophageal Cancer, Head and Neck (H&N) Carcinoma, Hepatocellular Carcinoma (HCC), Hodgkin's lymphoma, Kidney, Renal Cell Carcinoma, Lung Cancer, Non-Small Cell (NCSLC), Lung Cancer, Small Cell (SCLC), Melanoma, Mesothelioma, non-Hodgkin's Lymphoma, Ovarian Adenocarcinoma, Pancreatic Cancer, Prostate Cancer, Stomach Cancer.cell immortalization, clinical, tissue, cdna orf clone, premade adenovirus, purified protein, viral expression, recombinant adenovirus, recombinant lentivirus, protein, detection, quantification, cell line, disease, formalin fixed and paraffin embedded, frozen, tissue, blood, blood product, bone marrow, rna, dna, protein, cell culture, tumor tissueSCR_004879(Capital Biosciences, RRID:SCR_004879)Normal, Cancer, Tumor, Bladder cancer, Glioblastoma, Medulloblastoma, Breast Carcinoma, Cervical Cancer, Colorectal Cancer, Endometrial Cancer, Esophageal Cancer, Head Carcinoma, Neck Carcinoma, Hepatocellular Carcinoma, Hodgkin's lymphoma, Kidney, Renal Cell Carcinoma, Lung Cancer, Non-Small Cell, Lung Cancer, Small Cell, Melanoma, Mesothelioma, Non-Hodgkin's Lymphoma, Ovarian Adenocarcinoma, Pancreatic Cancer, Prostate Cancer, Stomach Cancerlisted by: One Mind Biospecimen Bank ListingLast checked upnlx_85333http://www.capitalbiosciences.com/category/show/tissue-human-clinically-defined.html
ASPicDBResource, data or information resource, databaseA database to access reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano et al. 2006), and to the functional annotation of predicted isoforms. Users may select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.annotation, splicing pattern, gene, transcript, intron, protein, variant, alternative splicing, splicing, blast, exon, u2, u12, isoformSCR_002102(ASPicDB, RRID:SCR_002102)University of Bari; Bari; Italy Normal, Cancerlisted by: OMICtoolsReferences (2)Last checked downOMICS_01882
Stem Cell CommonsResource, source code, database, analysis service resource, production service resource, data set, service resource, storage service resource, software resource, data repository, data or information resourceOpen source environment for sharing, processing and analyzing stem cell data bringing together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons. Key features of the Stem Cell Commons * Contains stem cell related experiments * Includes microarray and Next-Generation Sequencing (NGS) data from human, mouse, rat and zebrafish * Data from multiple cell types and disease models * Carefully curated experimental metadata using controlled vocabularies * Export in the Investigation-Study-Assay tabular format (ISA-Tab) that is used by over 30 organizations worldwide * A community oriented resource with public data sets and freely available code in public code repositories such as GitHub Currently in development * Development of Refinery, a novel analysis platform that links Commons data to the Galaxy analytical engine * ChIP-seq analysis pipeline (additional pipelines in development) * Integration of experimental metadata and data files with Galaxy to guide users to choose workflows, parameters, and data sources Stem Cell Commons is based on open source software and is available for download and development.therapeutic target, blood, stem cell, self-renewal, embryonic stem cell, hematopoietic stem cell, leukemia stem cell, gene, protein, phenotype, therapeutic, annotate, share, analyze, data sharing, statistics, visualize, analyze, microarray, next-generation sequencing, statistics, transcription profiling, genome, genome browser, disease modelSCR_004415(Stem Cell Commons, RRID:SCR_004415)Harvard Stem Cell Institute Normal, Acute Myelogenous Leukemia, Glioblastoma, Primitive Neuroectodermal Tumor, Etc.related to: Galaxy, ISA Infrastructure for Managing Experimental MetadataLast checked upnlx_42085http://bloodprogram.hsci.harvard.edu/
Proteome SciencesResource, material resource, service resource, commercial organizationCommercial company delivering content for personalized medicine in the areas of Biomarker Services, Biomarker Assays, Isobaric and Isotopic Reagents and Proprietary Biomarkers. A global leader in applied proteomics, they use high sensitivity proprietary technologies to detect biomarkers (differentially expressed proteins in diseases) and to develop rapid assays for testing. The biomarkers discovered in body fluids or tissues are validated, developed and commercialized as diagnostic, prognostic or therapeutic products through strategic alliances and out-licensing.protein, peptide, biomarker, pharmaceutical, diagnostic, electrophoretics ltd, electrophoretics, proteomics, assay, isobaric, isotopic, reagent, personalized medicine, mass spectrometry, tandem mass tagSCR_004106(Proteome Sciences, RRID:SCR_004106)Neurodegenerative disorder, Cancer, Stroke, Alzheimer's disease, Traumatic brain injuryrelated to: EMIFLast checked upnlx_158582
InnateDBResource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resourcePublicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralized resource. The database can be mined as a knowledgebase or used with the integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response. Although InnateDB curation focuses on innate immunity-relevant interactions and pathways, it also incorporates detailed annotation on the entire human, mouse and bovine interactomes by integrating data (178,000+ interactions & 3,900+ pathways) from several of the major public interaction and pathway databases. InnateDB also has integrated human, mouse and bovine orthology predictions generated using Ortholgue software. Ortholgue uses a phylogenetic distance-based method to identify possible paralogs in high-throughput orthology predictions. Integrated human and mouse conserved gene order and synteny information has also been determined to provide further support for orthology predictions. InnateDB Capabilities: * View statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly. * Search for genes and proteins of interest. * Search for experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc. * Search genes/interactions belonging to 3,900 pathways. * Visualize interactions using an intuitive subcellular localization-based layout in Cerebral. * Upload your own list of genes along with associated gene expression data (from up to 10 experimental conditions) to interactively analyze this data in a molecular interaction network context. Once you have uploaded your data, you will be able to interactively visualize interaction networks with expression data overlaid; carry out Pathway, Gene Ontology and Transcription Factor Binding Site over-representation analyses; construct orthologous interaction networks in other species; and much more. * Access curated interaction data via a dedicated PSICQUIC webservice.gene, immune response, pathway, protein, signaling pathway, interaction, immune, signaling response, gene, orthology prediction, orthology, ortholg, annotation, interactome, gene expression, molecule, protein-protein interaction, molecular interaction, visualization, nucleic acid-protein, nucleic acid, network, web service, transcription factor binding site, software resourceSCR_006714(InnateDB, RRID:SCR_006714)Simon Fraser University; British Columbia; Canada , University of British Columbia; British Columbia; Canada Microbial infection, Allergy, AsthmaAllerGen, European Union, Michael Smith Foundation for Health Research, Teagascrelated to: IMEx - The International Molecular Exchange Consortium, Interaction Reference Index, ConsensusPathDB, IMEx - The International Molecular Exchange Consortium, PSICQUIC Registry, PSICQUIC, Gene Ontology, IntAct, listed by: re3data.org, works_with: IMEx - The International Molecular Exchange ConsortiumReferences (2)Last checked upnif-0000-20808
Malaria Parasite Metabolic PathwaysResource, data set, image collection, data or information resourceData set of metabolic pathways for the malaria parasite based on the present knowledge of parasite biochemistry and on pathways known to occur in other unicellular eukaryotes. This site extracted the pertinent information from the universal sites and presented them in an educative and informative format. The site also includes, cell-cell interactions (cytoadherence and rosetting), invasion of the erythrocyte by the parasite and transport functions. It also contains an artistic impression of the ultrastructural morphology of the interaerythrocytic cycle stages and some details about the morphology of mitochondria and the apicoplast. Most pathways are relevant to the erythrocytic phase of the parasite cycle. All maps were checked for the presence of enzyme-coding genes as they are officially annotated in the Plasmodium genome (http://plasmodb.org/). The site is constructed in a hierarchical pattern that permits logical deepening: * Grouped pathways of major chemical components or biological process ** Specific pathways or specific process *** Chemical structures of substrates and products or process **** Names of enzymes and their genes or components of process Each map is linked to other maps thus enabling to verify the origin of a substrate or the fate of a product. Clicking on the EC number that appears next to each enzyme, connects the site to BRENDA, SWISSPROT ExPASy ENZYME, PlasmoDB and to IUBMB reaction scheme. Clicking of the name of a metabolite, connects the site to KEGG thus providing its chemical structure and formula. Next to each enzyme there is a pie that depicts the stage-dependent transcription of the enzyme''s coding gene. The pie is constructed as a clock of the 48 hours of the parasite cycle, where red signifies over-transcription and green, under-transcription. Clicking on the pie links to the DeRisi/UCSF transcriptome database.enzyme, gene, genome, map, metabolic, mosquito, parasite, pathway, plasmodium falciparum, protein, reaction, sequence, metabolic pathway, chemical structure, cell-cell interaction, transport, morphology, mitochondria, apicoplastSCR_007072(Malaria Parasite Metabolic Pathways, RRID:SCR_007072)Hebrew University of Jerusalem; Jerusalem; Israel Malaria6th FP- BioMalPar Network of Excellence on Biology and Pathology of the Malaria Parasite, European Union, NIAID, UNDP/World Bank/WHO Special ProgrammeLast checked upnif-0000-21249
Kidney and Urinary Pathway Knowledge BaseResource, data analysis service, production service resource, analysis service resource, data set, service resource, storage service resource, data repository, data or information resourceA collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint http://sparql.kupkb.org/sparql The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made.kidney, urinary, urine, pathway, molecule, visualizer, gene, protein, mirna, metabolite, mrna, microarray, ortholog, rdf, renal cell, anatomy, animal model, disease, sparql, proteomics, ontology, biomarker, gene expression, physiology, pathologySCR_001746(Kidney and Urinary Pathway Knowledge Base, RRID:SCR_001746)University of Manchester; Manchester; United Kingdom , National Institute of Health and Medical Research; Rennes; France Kidney diseaseEuropean Union, FP7, ICT-2007.4.4 e-LICO projectrelated to: NIDDK Information Network, Gene Expression Omnibus, Gene Ontology, KEGG, submitted by: NIDDK Information NetworkPMID:21624162Last checked downnlx_154134http://www.e-lico.eu/kupkb
pSTIINGResource, data or information resource, databaseA publicly accessible knowledgebase about protein-protein, protein-lipid, protein-small molecules, ligand-receptor interactions, receptor-cell type information, transcriptional regulatory and signal transduction modules relevant to inflammation, cell migration and tumourigenesis. It integrates in-house curated information from the literature, biochemical experiments, functional assays and in vivo studies, with publicly available information from multiple and diverse sources across human, rat, mouse, fly, worm and yeast. The knowledgebase allowing users to search and to dynamically generate visual representations of protein-protein interactions and transcriptional regulatory networks. Signalling and transcriptional modules can also be displayed singly or in combination. This allow users to identify important "cross-talks" between signalling modules via connections with key components or "hubs". The knowledgebase will facilitate a "systems-wide" understanding across many protein, signalling and transcriptional regulatory networks triggered by multiple environmental cues, and also serve as a platform for future efforts to computationally and mathematically model the system behavior of inflammatory processes and tumourigenesis.protein-protein, protein-lipid, protein-small molecule, ligand-receptor interaction, receptor-cell type, transcriptional regulatory module, signal transduction module, inflammation, cell migration, tumorigenesis, protein-protein interaction, transcriptional regulatory network, signalling pathway, interaction, protein interaction, motif, domain, protein, geneSCR_002045(pSTIING, RRID:SCR_002045)University College London; London; United Kingdom Inflammation, Tumor, Cancerrelated to: Gene Ontology, listed by: OMICtoolsPMID:16381926Last checked downOMICS_01916
AblynxResource, reagent manufacture, service resource, production service resource, material service resourceA biopharmaceutical company engaged in the discovery and development of Nanobodies, a novel class of antibody-derived therapeutic proteins based on single-domain antibody fragments, for a range of serious life-threatening human diseases including inflammation, hematology, oncology and pulmonary disease.nanobody, protein, antibody fragment, human disease, oncology, hematology, tumor, blood, therapy, therapeutic, pharmaceutical, drug product, drugSCR_002940(Ablynx, RRID:SCR_002940)Inflammation, Cancer, Pulmonary disease, Thrombosis, Alzheimer's disease, Rheumatoid arthritis, Osteoporosis, Thrombotic thrombocytopenic purpura, Respiratory syncytial virusLast checked upnif-0000-30052
Athens Research and TechnologyResource, biomaterial supply resource, material resourceCommercial supplier of bioproducts for studies of inflammation, autoimmune disease, cancer, coronary disease, Alzheimer's Disease and more. These include antibodies, enzymes, coagulation factors, and assay kits.antibody, protein, biotherapeutics, autoimmune disease, cancer, coronary disease, alzheimers diseaseSCR_001079(Athens Research and Technology, RRID:SCR_001079)inflammation, autoimmune disease, cancer, coronary disease, Alzheimer's DiseaseLast checked upnlx_152285
Ray Truant LabResource, organization portal, image collection, laboratory portal, portal, video resource, data or information resourceTHIS RESOURCE IS NO LONGER IN SERVICE, documented on March 21, 2013. Laboratory portal of Ray Truant, PhD. It provides an image gallery and videos.huntington's disease, cell, in vivo, protein, organelle, humanSCR_004301(Ray Truant Lab, RRID:SCR_004301)McMaster University; Ontario; Canada Huntington's disease, Neurodegenerative disease, Polyglutamine expansion diseaseLast checked upnlx_31488
HDBaseResource, disease-related portal, data set, topical portal, portal, data or information resourceA community website for Huntington''s Disease (HD) research that currently contains Y2H and Mass spectrometry protein-protein interaction data centered around the HD protein (huntingtin) and information on therapeutic studies in mouse. Also available are raw Human and Mouse Affymetrix Microarray data. The protein interaction data is from several sources, including interactions curated from the literature by ISB staff, experimentally determined interactions produced by Bob Hughes and colleagues at Prolexys (currently password protected), and interactions reported in a recent publication by Goehler et al from Eric Wanker''s lab. Content areas that may be covered by the site include the following: * Therapeutic studies in mouse, primarily drug screens. * HD mouse models with a focus on timelines of disease progression. * Antibodies used in HD research. * Microarray gene expression studies. * Genes and proteins relevant to HD research. This includes HD itself, the growing list of proteins thought to interact directly or indirectly with huntingtin (Htt), and other genes and proteins implicated in the disease process. * Molecular pathways thought to be involved in the disease process. * Timelines of disease for Mouse modelsdrug, gene expression, huntingtin, mass spectrometry, microarray, protein interaction, protein-protein interaction, y2h, mouse model, treatment, disease, phenotype, brain, striatum, adipose, muscle, gene, protein, antibody, pathwaySCR_007132(HDBase, RRID:SCR_007132)Institute for Systems Biology; Washington; USA Huntington''s disease, ControlHereditary Disease Foundationuses: CytoscapeLast checked downnif-0000-00153
SynSysNetResource, data or information resource, databaseA curated database for synaptic proteins that provides adequate definitions of pre- and post-synaptic proteins, proteins present in sub-domains of the synapse, e.g. the synaptic vesicle and associated proteins, lipid rafts and postsynaptic density. In addition to data that was and will be gathered from the experiments conducted within SynSys - A European expertise Network on building the synapse, they have extracted and manually curated all relevant data on these proteins from other sources and provided an ontology for these. Novel splice forms are being identified that can be matched with proteomics data. Information on proteins, their 3D structure, binding small molecules Protein-Protein-Interactions (PPIs) and Compound-Protein-Interactions are integrated. Proteins or compounds can be searched and Interactive Networks can be visualized. The point Diseases present neurological diseases, to illustrate the role of SynSysNet in the medication.gene, synapse, protein, interaction, compound, disease, structure, model, compound, protein-drug interaction, protein-protein interaction, pathway, drug-target, small molecule, interaction network, homology, drug, drug-target interaction, compound-protein interaction, visualization, proteomics, networkSCR_003180(SynSysNet, RRID:SCR_003180)Charite - Universitatsmedizin Berlin; Berlin; Germany Huntington's disease, Chorea Huntington, Epilepsy, Multiple Sclerosis, Parkinson's disease, Schizophrenia, Neurological diseaseDFG, European Union Seventh FPSYNSYSrelated to: Research Collaboratory for Structural Bioinformatics Protein Data Bank, KEGG, listed by: OMICtoolsPMID:23143269Last checked upnlx_156893, OMICS_01914
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