Search results for "Protein Interaction Map"

showing 10 items of 80 documents

Osteogenic commitment and differentiation of human mesenchymal stem cells by low‐intensity pulsed ultrasound stimulation

2018

Low-intensity pulsed ultrasound (LIPUS) as an adjuvant therapy in in vitro and in vivo bone engineering has proven to be extremely useful. The present study aimed at investigating the effect of 30 mW/cm(2) LIPUS stimulation on commercially available human mesenchymal stem cells (hMSCs) cultured in basal or osteogenic medium at different experimental time points (7d, 14d, 21d). The hypothesis was that LIPUS would improve the osteogenic differentiation of hMSC and guarantying the maintenance of osteogenic committed fraction, as demonstrated by cell vitality and proteomic analysis. LIPUS stimulation (a) regulated the balance between osteoblast commitment and differentiation by specific network…

Proteomics0301 basic medicineTime FactorsUltrasonic WaveTranscription FactorPhysiologyCellular differentiationClinical BiochemistryLow-intensity pulsed ultrasoundOsteogenesisProtein Interaction MapsStem Cell Nichemesenchymal stem cellCells CulturedProtein metabolic processproteomic analysiMesenchymal Stromal CellReverse Transcriptase Polymerase Chain ReactionOsteogenesiIntracellular Signaling Peptides and ProteinsCell DifferentiationOsteoblastproteomic analysisFlow CytometryCell biologyRUNX2Phenotypemedicine.anatomical_structureUltrasonic Wavesosteoblast differentiationosteogenic commitmentProtein Interaction MapHumanSignal TransductionHomeobox protein NANOGlow-intensity pulsed ultrasoundTime FactorCell SurvivalEnzyme-Linked Immunosorbent AssayBiology03 medical and health sciencesSOX2medicineHumansCell LineageMesenchymal stem cellProteomicMesenchymal Stem CellsCell Biology030104 developmental biologyGene Expression RegulationIntracellular Signaling Peptides and ProteinImmunologyTranscription FactorsJournal of Cellular Physiology
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Comparative Quantitative Analysis of Porcine Optic Nerve Head and Retina Subproteomes

2019

Optic nerve head (ONH) and retina (RET) are the main sites of damage in neurodegenerative optic neuropathies including glaucoma. Up to date, little is known about the molecular interplay between these two adjoining ocular components in terms of proteomics. To close this gap, we investigated ONH and RET protein extracts derived from porcine eyes (n = 12) (Sus scrofa domestica Linnaeus 1758) using semi-quantitative mass spectrometry (MS)-based proteomics comprising bottom-up LC&ndash

Proteomics0301 basic medicineretinaProteomegenetic structuresSus scrofaGlaucomaProteomicslcsh:ChemistrySus scrofa domestica0302 clinical medicineTandem Mass SpectrometryProtein Interaction Mapslcsh:QH301-705.5Spectroscopybiologyoptic nerve headGeneral MedicineComputer Science ApplicationsCell biologymedicine.anatomical_structureProteomeOptic nerveProtein Binding<i>Sus scrofa domestica</i>Optic DiskArticleCatalysisInorganic Chemistry03 medical and health sciencesmedicineMALDI-TOF MSAnimalsHumansPhysical and Theoretical ChemistryEndoplasminMolecular BiologyRetinaClusterinOrganic Chemistrymedicine.diseaseeye diseasesLC-MSglaucomaGene Ontology030104 developmental biologylcsh:Biology (General)lcsh:QD1-999Spectrometry Mass Matrix-Assisted Laser Desorption-Ionizationbiology.proteinsense organsCeruloplasmin030217 neurology & neurosurgeryInternational Journal of Molecular Sciences
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SIK2 orchestrates actin-dependent host response upon Salmonella infection

2021

Significance Through conducting quantitative proteomics upon Salmonella infection, we identified a SIK2 signaling network, implementing the kinase into a so far concealed biological function. Our data exposed SIK2 as a central orchestrator of an actin regulatory network, coordinating the stability of Salmonella-containing vacuole (SCV) and cellular actin assembly, in order to limit the acute phase of the infection. Most strikingly, SIK2 is not exclusively acting locally on actin assembly associated with the SCV but impacts the actin cytoskeleton architecture in its entirety upon Salmonella infection. Our work provides a mechanistic framework for how the actin cytoskeleton is regulated and h…

ProteomicsSalmonellaactin cytoskeletonImmunoblottingArp2/3 complexSalmonella infectionmacromolecular substancesProtein Serine-Threonine Kinasesmedicine.disease_causeBiochemistry03 medical and health sciencesMice0302 clinical medicineSalmonellamedicineXenophagyAnimalsHumansArp2/3 complexProtein Interaction MapsPhosphorylationActinCells Cultured030304 developmental biologyActin nucleation0303 health sciencesMultidisciplinarybiologyEpithelial CellsBiological Sciencesmedicine.diseaseActin cytoskeletonHCT116 CellsPhosphoproteinsActinsCell biologySalmonella-containing vacuoleHEK293 CellsFormins407Host-Pathogen Interactionsbiology.proteinRNA Interference030217 neurology & neurosurgeryhost–pathogen interactionsHeLa CellsSignal TransductionProceedings of the National Academy of Sciences of the United States of America
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Surface proteomic analysis of differentiated versus stem-like osteosarcoma human cells.

2013

Cancer stem cell characterization represents a breakthrough in cancer research. Despite evidence showing the existence and the role of cancer stem cells in osteosarcoma (OS) onset and progression, little is known about their specific surface phenotype. To address this issue, we carried out a cytometric analysis with an antibody-array comprising 245 membrane proteins comparing the stem and differentiated OS cells. As experimental model, we chose the stem-like cell line 3aminobenzamide-OS and its parental, differentiated, cell line MG63. We identified 50 differentially expressed, 23 homogeneously expressed, and 172 not expressed proteins in the two cell line models, thus defining a surface pr…

ProteomicsSurface phenotypeProteomeBiologyProteomicsStem cell markerBiochemistryCancer stem cellSettore BIO/10 - BiochimicamedicineHumansCancer stem cell Cell biology Osteosarcoma Surface proteomeProtein Interaction MapsMolecular BiologyOsteosarcomaKinaseMembrane ProteinsCell Differentiationmedicine.diseaseCell biologyMembrane proteinCell cultureNeoplastic Stem CellsOsteosarcomacancer stem cells proteomics osteosarcoma
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BAG3 Proteomic Signature under Proteostasis Stress

2020

The multifunctional HSP70 co-chaperone BAG3 (BCL-2-associated athanogene 3) represents a key player in the quality control of the cellular proteostasis network. In response to stress, BAG3 specifically targets aggregation-prone proteins to the perinuclear aggresome and promotes their degradation via BAG3-mediated selective macroautophagy. To adapt cellular homeostasis to stress, BAG3 modulates and functions in various cellular processes and signaling pathways. Noteworthy, dysfunction and deregulation of BAG3 and its pathway are pathophysiologically linked to myopathies, cancer, and neurodegenerative disorders. Here, we report a BAG3 proteomic signature under proteostasis stress. To elucidat…

ProteomicsautophagyCell signalingCellular homeostasisinteractomeBiologyBAG3InteractomeArticleStress PhysiologicalHumansddc:610Protein Interaction Mapsprotein quality controllcsh:QH301-705.5Adaptor Proteins Signal TransducingProto-Oncogene Proteins c-yesproteostasisBAG3AutophagyMolecular Sequence Annotationstress responseGeneral MedicineCell biologyGene OntologyHEK293 CellsAggresomeProteostasislcsh:Biology (General)Multivariate AnalysisSignal transductionApoptosis Regulatory ProteinsProteasome InhibitorsProtein BindingCells
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Rtp1p Is a Karyopherin-Like Protein Required for RNA Polymerase II Biogenesis

2013

The assembly and nuclear transport of RNA polymerase II (RNA pol II) are processes that require the participation of many auxiliary factors. In a yeast genetic screen, we identified a previously uncharacterized gene, YMR185w (renamed RTP1), which encodes a protein required for the nuclear import of RNA pol II. Using protein affinity purification coupled to mass spectrometry, we identified interactions between Rtp1p and members of the R2TP complex. Rtp1p also interacts, to a different extent, with several RNA pol II subunits. The pattern of interactions is compatible with a role for Rtp1p as an assembly factor that participates in the formation of the Rpb2/Rpb3 subassembly complex and its bi…

Saccharomyces cerevisiae ProteinsActive Transport Cell NucleusRNA polymerase IISaccharomyces cerevisiaeKaryopherinsBiologyGene Expression Regulation FungalTranscriptional regulationRNA polymerase IProtein Interaction MapsMolecular BiologyRNA polymerase II holoenzymeR2TP complexGeneticsNuclear cap-binding protein complexArticlesCell BiologyPhosphoproteinsUp-RegulationCell biologyNuclear Pore Complex Proteinsbiology.proteinRNA Polymerase IITranscription factor II DCarrier ProteinsGene DeletionSmall nuclear RNATranscription Factors
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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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