Search results for "Protein interaction mapping"

showing 10 items of 44 documents

An organelle-specific protein landscape identifies novel diseases and molecular mechanisms.

2016

Cellular organelles provide opportunities to relate biological mechanisms to disease. Here we use affinity proteomics, genetics and cell biology to interrogate cilia: poorly understood organelles, where defects cause genetic diseases. Two hundred and seventeen tagged human ciliary proteins create a final landscape of 1,319 proteins, 4,905 interactions and 52 complexes. Reverse tagging, repetition of purifications and statistical analyses, produce a high-resolution network that reveals organelle-specific interactions and complexes not apparent in larger studies, and links vesicle transport, the cytoskeleton, signalling and ubiquitination to ciliary signalling and proteostasis. We observe sub…

Proteomics0301 basic medicineSystems AnalysisDNA Mutational Analysislnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]General Physics and AstronomyDatasets as Topicmethods [Chromatography Affinity]ProteomicsSensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]Chromatography AffinityMass SpectrometryProtein Interaction Mappingtherapy [Ciliopathies]genetics [Ciliopathies]methods [Molecular Targeted Therapy]Molecular Targeted TherapyProtein Interaction MapsMultidisciplinaryCiliumChemistry (all)Qabnormalities [Spine]pathology [Ciliopathies]genetics [Muscle Hypotonia]therapy [Muscle Hypotonia]Metabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6]metabolism [Proteins]isolation & purification [Proteins]physiology [Biological Transport]3. Good healthCell biologyVesicular transport proteinpathology [Dwarfism]metabolism [Cilia]Muscle Hypotoniaddc:500pathology [Muscle Hypotonia]pathology [Spine]genetics [Dwarfism]Rare cancers Radboud Institute for Health Sciences [Radboudumc 9]ScienceDwarfismExocystBiologyArticleGeneral Biochemistry Genetics and Molecular BiologyPhysics and Astronomy (all)03 medical and health sciencesIntraflagellar transportCiliogenesisOrganelleHumansCiliaBiochemistry Genetics and Molecular Biology (all)ProteinsBiological TransportGeneral Chemistrytherapy [Dwarfism]Fibroblastsgenetics [Proteins]CiliopathiesSpinemethods [Protein Interaction Mapping]Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11]030104 developmental biologyProteostasisHEK293 Cellsmethods [Proteomics]
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A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification

2007

This article is available from: http://www.biomedcentral.com/1471-2105/8/442

Saccharomyces cerevisiae ProteinsComputer scienceDecision treecomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsInteractomeBiochemistryPattern Recognition AutomatedMitochondrial ProteinsUser-Computer InterfaceSimilarity (network science)Structural BiologyArtificial IntelligenceSequence Analysis ProteinProtein Interaction MappingCluster AnalysisDatabases Proteinlcsh:QH301-705.5Molecular BiologyOligonucleotide Array Sequence AnalysisApplied MathematicsMethodology ArticleDendrogramDecision TreesReproducibility of ResultsClassificationPartition (database)Computer Science ApplicationsTree (data structure)Rankinglcsh:Biology (General)Pattern recognition (psychology)lcsh:R858-859.7Data miningcomputerBiological networkBMC Bioinformatics
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A novel Usher protein network at the periciliary reloading point between molecular transport machineries in vertebrate photoreceptor cells.

2008

Contains fulltext : 69178.pdf (Publisher’s version ) (Closed access) The human Usher syndrome (USH) is the most frequent cause of combined deaf-blindness. USH is genetically heterogeneous with at least 12 chromosomal loci assigned to three clinical types, USH1-3. Although these USH types exhibit similar phenotypes in human, the corresponding gene products belong to very different protein classes and families. The scaffold protein harmonin (USH1C) was shown to integrate all identified USH1 and USH2 molecules into protein networks. Here, we analyzed a protein network organized in the absence of harmonin by the scaffold proteins SANS (USH1G) and whirlin (USH2D). Immunoelectron microscopic anal…

Scaffold proteinGenetics and epigenetic pathways of disease [NCMLS 6]XenopusCell Cycle ProteinsNerve Tissue ProteinsBiologyIn Vitro TechniquesNeuroinformatics [DCN 3]TransfectionModels BiologicalReceptors G-Protein-CoupledMiceChlorocebus aethiopsProtein Interaction MappingGeneticsPerception and Action [DCN 1]otorhinolaryngologic diseasesAnimalsHumansNeurosensory disorders [UMCN 3.3]Cell Cycle ProteinMicroscopy ImmunoelectronMolecular BiologyIntegral membrane proteinGenetics (clinical)Adaptor Proteins Signal TransducingRenal disorder [IGMD 9]GeneticsMice KnockoutExtracellular Matrix ProteinsCiliumSignal transducing adaptor proteinMembrane ProteinsGeneral MedicineTransmembrane proteinCell biologyMice Inbred C57BLCytoskeletal ProteinsEctodomainGenetic defects of metabolism [UMCN 5.1]COS CellsNIH 3T3 CellsCervical collarUsher SyndromesFunctional Neurogenomics [DCN 2]Photoreceptor Cells VertebrateSubcellular FractionsImmunity infection and tissue repair [NCMLS 1]
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Isolation of the silicatein-α interactor silintaphin-2 by a novel solid-phase pull-down assay.

2011

The skeleton of siliceous sponges consists of amorphous biogenous silica (biosilica). Biosilica formation is driven enzymatically by means of silicatein(s). During this unique process of enzymatic polycondensation, skeletal elements (spicules) that enfold a central proteinaceous structure (axial filament), mainly comprising silicatein, are formed. However, only the concerted action of silicatein and other proteins can explain the genetically controlled diversity of spicular morphotypes, from simple rods with pointed ends to intricate structures with up to six rays. With the scaffold protein silintaphin-1, a first silicatein interactor that facilitates the formation of the axial filament and…

Scaffold proteinSpiculeImmunoprecipitationMolecular Sequence DataNanotechnologyBiologyFlagellumBiochemistry03 medical and health sciencesSponge spiculePhase (matter)Two-Hybrid System TechniquesProtein Interaction MappingAnimalsInteractorAmino Acid Sequence030304 developmental biology0303 health sciences030302 biochemistry & molecular biologySilicon DioxideCathepsinsYeastProtein TransportSpectrometry Mass Matrix-Assisted Laser Desorption-IonizationBiophysicsAutoradiographyCalciumSuberitesProtein BindingBiochemistry
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Algorithms and tools for protein-protein interaction networks clustering, with a special focus on population-based stochastic methods

2014

Abstract Motivation: Protein–protein interaction (PPI) networks are powerful models to represent the pairwise protein interactions of the organisms. Clustering PPI networks can be useful for isolating groups of interacting proteins that participate in the same biological processes or that perform together specific biological functions. Evolutionary orthologies can be inferred this way, as well as functions and properties of yet uncharacterized proteins. Results: We present an overview of the main state-of-the-art clustering methods that have been applied to PPI networks over the past decade. We distinguish five specific categories of approaches, describe and compare their main features and …

Statistics and ProbabilityComputer sciencePopulationPopulation basedMachine learningcomputer.software_genreBiochemistryProtein protein interaction networkgenetic algorithmsProtein–protein interactionBioinformatics Clustering Biological NetworksPPI networkscomplex detectionProtein Interaction MappingAnimalsCluster AnalysisHumanseducationCluster analysisMolecular BiologyTopology (chemistry)Class (computer programming)education.field_of_studybusiness.industryfood and beveragesProteinsComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsArtificial intelligenceData miningbusinessFocus (optics)computerAlgorithms
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Iterative Cluster Analysis of Protein Interaction Data

2004

Abstract Motivation: Generation of fast tools of hierarchical clustering to be applied when distances among elements of a set are constrained, causing frequent distance ties, as happens in protein interaction data. Results: We present in this work the program UVCLUSTER, that iteratively explores distance datasets using hierarchical clustering. Once the user selects a group of proteins, UVCLUSTER converts the set of primary distances among them (i.e. the minimum number of steps, or interactions, required to connect two proteins) into secondary distances that measure the strength of the connection between each pair of proteins when the interactions for all the proteins in the group are consid…

Statistics and ProbabilitySaccharomyces cerevisiae ProteinsComputer sciencecomputer.software_genreBiochemistryInteractomePattern Recognition AutomatedSet (abstract data type)Protein Interaction MappingCluster (physics)Cluster AnalysisCluster analysisMolecular BiologyCytoskeletonMeasure (data warehouse)Gene Expression ProfilingProteinsActinsComputer Science ApplicationsHierarchical clusteringGene expression profilingComputational MathematicsComputational Theory and MathematicsPattern recognition (psychology)Benchmark (computing)Data miningcomputerAlgorithmsSoftwareSignal TransductionBioinformatics
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Basic networks: Definition and applications

2009

7 pages, 4 figures, 1 table.-- PMID: 19490867 [PubMed]

Statistics and ProbabilityTheoretical computer scienceInteractomeGeodesicinteractomeSteiner tree problemModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyGraph03 medical and health sciencessymbols.namesakeModuleProtein Interaction MappingmoduleAnimalsSteiner tree030304 developmental biologyMathematicsDiscrete mathematics0303 health sciencesModels StatisticalGeneral Immunology and MicrobiologyApplied Mathematics030302 biochemistry & molecular biologyGeneral MedicinegraphGraphModeling and SimulationsymbolsNeural Networks ComputerGeneral Agricultural and Biological SciencesAlgorithms
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Protein-membrane interaction probed by single plasmonic nanoparticles.

2008

We present a nanosized and addressable sensor platform based on membrane coated plasmonic particles and show unequivocally the covering with lipid bilayers as well as the subsequent detection of streptavidin binding to biotinylated lipids. The binding is detected on membrane covered gold nanorods by monitoring the spectral shift by fast single particle spectroscopy (fastSPS) on many particles in parallel. Our approach allows for local analysis of protein interaction with biological membranes as a function of the lateral composition of phase separated membranes.

StreptavidinMaterials scienceNanoparticleMolecular Probe TechniquesBioengineeringNanotechnologyResonance (particle physics)Spectral lineQuantitative Biology::Subcellular Processeschemistry.chemical_compoundProtein Interaction MappingGeneral Materials ScienceSurface plasmon resonanceSpectroscopyLipid bilayerPlasmonPlasmonic nanoparticlesbusiness.industryChemistryMechanical EngineeringCell MembraneMembrane ProteinsBiological membraneGeneral ChemistrySurface Plasmon ResonanceCondensed Matter PhysicsDark field microscopyMembraneTransmission electron microscopyBiotinylationParticleOptoelectronicsNanoparticlesbusinessNano letters
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Modular organization in the reductive evolution of protein-protein interaction networks

2006

Analysis of the reduction in genome size of Buchnera aphidicola from its common ancestor E. coli shows that the organization of networks into modules is the property that seems to be directly related with the evolutionary process of genome reduction.

Systems biologyComplex systemComputational biologyBiologyGenomeProtein protein interaction networkProtein–protein interactionBuchneraInteraction networkProtein Interaction MappingEscherichia coliAnimalsHumansDatabases ProteinGeneticsbusiness.industrySystems BiologyResearchbiochemical phenomena metabolism and nutritionModular designbiology.organism_classificationBiological EvolutionProtein Structure TertiaryStructural Homology ProteinMultiprotein ComplexesBuchnerabusinessAlgorithmsGenome BacterialGenome Biology
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The Mitochondrial Targeting Chaperone 14-3-3ε Regulates a RIG-I Translocon that Mediates Membrane Association and Innate Antiviral Immunity

2012

SummaryRIG-I is a cytosolic pathogen recognition receptor that initiates immune responses against RNA viruses. Upon viral RNA recognition, antiviral signaling requires RIG-I redistribution from the cytosol to membranes where it binds the adaptor protein, MAVS. Here we identify the mitochondrial targeting chaperone protein, 14-3-3ε, as a RIG-I-binding partner and essential component of a translocation complex or “translocon” containing RIG-I, 14-3-3ε, and the TRIM25 ubiquitin ligase. The RIG-I translocon directs RIG-I redistribution from the cytosol to membranes where it mediates MAVS-dependent innate immune signaling during acute RNA virus infection. 14-3-3ε is essential for the stable inte…

TRIM25Cancer ResearchUbiquitin-Protein Ligasesviruseschemical and pharmacologic phenomenaHepacivirusMicrobiologyAntiviral AgentsModels BiologicalArticleCell LineDEAD-box RNA HelicasesTripartite Motif Proteins03 medical and health sciences0302 clinical medicineVirologyImmunology and Microbiology(all)Protein Interaction MappingHumansReceptors ImmunologicDEAD Box Protein 58Molecular Biology030304 developmental biology0303 health sciencesInnate immune systembiologyRIG-IRNAMembrane Proteinsvirus diseasesRNA virusbiochemical phenomena metabolism and nutritionbiology.organism_classificationTranslocon3. Good healthCell biology14-3-3 Proteins030220 oncology & carcinogenesisChaperone (protein)biology.proteinDEAD Box Protein 58Parasitologybiological phenomena cell phenomena and immunityMolecular ChaperonesProtein BindingTranscription FactorsCell Host & Microbe
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