Search results for "Protein Interaction Maps"

showing 10 items of 45 documents

Identifying Early Warning Signals for the Sudden Transition from Mild to Severe Tobacco Etch Disease by Dynamical Network Biomarkers

2019

This article belongs to the Special Issue The Complexity of the Potyviral Interaction Network.

0106 biological sciences0301 basic medicineComplex systemsSystems biologyPotyvirusDiseaseBiologytobacco etch virusSeverity of Illness Index01 natural sciencesArticlePlant VirusesTranscriptomeViral Proteins03 medical and health sciencesPlant-virus interactionpotyvirusGene Expression Regulation PlantVirologyProtein Interaction MappingTobaccoGene Regulatory NetworksProtein Interaction Mapscomplex systemsGenePlant DiseasesGeneticsTransition (genetics)Tobacco etch virusGene Expression Profilingsystems biologyDNBBiotic stressresponse to infectionbiology.organism_classificationplant-virus interactionTobacco etch virusphase transitionsprotein-protein interaction networks030104 developmental biologyInfectious DiseasesPhase transitionsHost-Pathogen InteractionsMutationBiomarker (medicine)BiomarkersSignal Transduction010606 plant biology & botanyViruses
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Transcriptomic responses to biotic stresses in Malus x domestica: a meta-analysis study.

2017

AbstractRNA-Seq analysis is a strong tool to gain insight into the molecular responses to biotic stresses in plants. The objective of this work is to identify specific and common molecular responses between different transcriptomic data related to fungi, virus and bacteria attacks in Malus x domestica. We analyzed seven transcriptomic datasets in Malus x domestica divided in responses to fungal pathogens, virus (Apple Stem Grooving Virus) and bacteria (Erwinia amylovora). Data were dissected using an integrated approach of pathway- and gene- set enrichment analysis, Mapman visualization tool, gene ontology analysis and inferred protein-protein interaction network. Our meta-analysis revealed…

0106 biological sciences0301 basic medicineMalusKnowledge BasesArabidopsislcsh:MedicineSecondary MetabolismErwiniaGenes Plant01 natural sciencesArticleTranscriptome03 medical and health sciencesPlant Growth RegulatorsGene Expression Regulation PlantStress PhysiologicalSettore AGR/07 - Genetica AgrariaProtein Interaction Mapslcsh:ScienceSecondary metabolismGeneCrosses GeneticPlant ProteinsGeneticsMultidisciplinarybiologyGene Expression Profilinglcsh:RfungiMalus transcriptomic biotic stressfood and beveragesBiotic stressbiology.organism_classificationSettore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeGene expression profiling030104 developmental biologyGene OntologyMalustranscriptomic responses biotic stress meta-analysis RNA-seq plantsInactivation Metaboliclcsh:QTranscriptomeApple stem grooving virus010606 plant biology & botanyTranscription FactorsScientific reports
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Molecular signatures of silencing suppression degeneracy from a complex RNA virus

2021

As genomic architectures become more complex, they begin to accumulate degenerate and redundant elements. However, analyses of the molecular mechanisms underlying these genetic architecture features remain scarce, especially in compact but sufficiently complex genomes. In the present study, we followed a proteomic approach together with a computational network analysis to reveal molecular signatures of protein function degeneracy from a plant virus (as virus-host protein-protein interactions). We employed affinity purification coupled to mass spectrometry to detect several host factors interacting with two proteins of Citrus tristeza virus (p20 and p25) that are known to function as RNA sil…

0106 biological sciences0301 basic medicineProteomicsCitrusInteraction NetworksPathogenesisPlant Sciencemedicine.disease_causePathology and Laboratory Medicine01 natural sciencesInteractomeBiochemistryBimolecular fluorescence complementationRNA interferenceRNA silencing supressorsCitrus tristeza virusMedicine and Health SciencesDegeneracy (biology)Protein Interaction MapsBiology (General)H20 Plant diseasesPlant ProteinsEcologybiologyPlant virusesEukaryotaArgonautePlantsSmall interfering RNANucleic acidsRNA silencingComputational Theory and MathematicsGenetic interferenceExperimental Organism SystemsModeling and SimulationProteomeArgonaute ProteinsHost-Pathogen InteractionsRNA ViralEpigeneticsResearch ArticleClosterovirusRNA virusViral proteinQH301-705.5Arabidopsis ThalianaPlant PathogensComputational biologyGenome ViralBrassicaResearch and Analysis MethodsModels BiologicalPlant Viral Pathogens03 medical and health sciencesCellular and Molecular NeuroscienceViral ProteinsModel OrganismsPlant and Algal ModelsTobaccomedicineGeneticsGenomesNon-coding RNAProtein InteractionsMolecular signaturesMolecular BiologyEcology Evolution Behavior and SystematicsPlant DiseasesHost Microbial InteractionsBiology and life sciencesMass spectrometryOrganismsComputational BiologyProteinsRNA virusPlant Pathologybiology.organism_classificationGene regulationRepressor Proteins030104 developmental biologyU30 Research methodsAnimal StudiesRNAGene expression010606 plant biology & botanyF30 Plant genetics and breeding
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Integrative analysis of key candidate genes and signaling pathways in autoimmune thyroid dysfunction related to anti-CTLA-4 therapy by bioinformatics

2020

Summary Cytotoxic T lymphocyte-associated antigen-4 (CTLA-4), the first immune checkpoint to be targeted clinically, has provided an effective treatment option for various malignancies. However, the clinical advantages associated with CTLA-4 inhibitors can be offset by the potentially severe immune-related adverse events (IRAEs), including autoimmune thyroid dysfunction. To investigate the candidate genes and signaling pathways involving in autoimmune thyroid dysfunction related to anti-CTLA-4 therapy, integrated differentially expressed genes (DEGs) were extracted from the intersection of genes from Gene Expression Omnibus (GEO) datasets and text mining. The functional enrichment was perfo…

0301 basic medicineCandidate geneCD74Signaling pathway.FCGR2BDifferentially expressed geneBiologyBioinformaticsHyperthyroidismAutoimmune Diseases03 medical and health sciencesMice0302 clinical medicineHypothyroidismmedicineAnimalsHumansPharmacology (medical)CTLA-4 AntigenProtein Interaction MapsKEGGGeneImmune Checkpoint InhibitorsPharmacologyPreclinical StudiesSignaling pathwayCancerComputational Biologymedicine.diseaseImmune checkpointGene Expression Regulation Neoplastic030104 developmental biologyGene OntologyAutoimmune thyroid dysfunctionOncologyCTLA-4030220 oncology & carcinogenesisDifferentially expressed genesCTLA-4BiomarkersImmune checkpoint blockadeSignal Transduction
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Defining Human Tyrosine Kinase Phosphorylation Networks Using Yeast as an In Vivo Model Substrate.

2017

Systematic assessment of tyrosine kinase-substrate relationships is fundamental to a better understanding of cellular signaling and its profound alterations in human diseases such as cancer. In human cells, such assessments are confounded by complex signaling networks, feedback loops, conditional activity, and intra-kinase redundancy. Here we address this challenge by exploiting the yeast proteome as an in vivo model substrate. We individually expressed 16 human non-receptor tyrosine kinases (NRTKs) in Saccharomyces cerevisiae and identified 3,279 kinase-substrate relationships involving 1,351 yeast phosphotyrosine (pY) sites. Based on the yeast data without prior information, we generated …

0301 basic medicineCell signalingHistologySaccharomyces cerevisiae ProteinsSaccharomyces cerevisiaeAmino Acid MotifsSaccharomyces cerevisiaeInteractomeReceptor tyrosine kinaseArticlePathology and Forensic Medicine03 medical and health scienceschemistry.chemical_compoundHumansProtein Interaction MapsPhosphorylationbiologyTyrosine phosphorylationCell BiologyProtein-Tyrosine Kinasesbiology.organism_classificationYeastCell biology030104 developmental biologychemistrybiology.proteinPhosphorylationTyrosine kinaseSequence AlignmentCell systems
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Identification of the integrin-binding site on coagulation factor VIIa required for proangiogenic PAR2 signaling.

2018

The tissue factor (TF) pathway serves both hemostasis and cell signaling, but how cells control these divergent functions of TF remains incompletely understood. TF is the receptor and scaffold of coagulation proteases cleaving protease-activated receptor 2 (PAR2) that plays pivotal roles in angiogenesis and tumor development. Here we demonstrate that coagulation factor VIIa (FVIIa) elicits TF cytoplasmic domain-dependent proangiogenic cell signaling independent of the alternative PAR2 activator matriptase. We identify a Lys-Gly-Glu (KGE) integrin-binding motif in the FVIIa protease domain that is required for association of the TF-FVIIa complex with the active conformer of integrin β1. A po…

0301 basic medicineCell signalingImmunologyIntegrinNeovascularization PhysiologicFactor VIIa030204 cardiovascular system & hematologyBiochemistryThromboplastinThrombosis and Hemostasis03 medical and health sciencesTissue factorMice0302 clinical medicineAnimalsHumansReceptor PAR-2Protein Interaction Domains and MotifsProtein Interaction MapsProtein kinase ACells CulturedIntegrin bindingBinding SitesbiologyChemistryIntegrin beta1Cell BiologyHematologyCell biologyCrosstalk (biology)030104 developmental biologyADP-Ribosylation Factor 6biology.proteinNIH 3T3 CellsPhosphorylationSignal transductionProtein BindingSignal TransductionBlood
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Identification of novel drug resistance mechanisms by genomic and transcriptomic profiling of glioblastoma cells with mutation-activated EGFR.

2021

Abstract Aims Epidermal growth factor receptor (EGFR) is not only involved in carcinogenesis, but also in chemoresistance. We characterized U87.MGΔEGFR glioblastoma cells with constitutively active EGFR due to deletion at the ligand binding domain in terms of gene expression profiling and chromosomal aberrations. Wild-type U87.MG cells served as control. Materials and methods RNA sequencing and network analyses (Ingenuity Pathway Analysis) were performed to identify novel drug resistance mechanisms related to expression of mutation activated EGFR. Chromosomal aberrations were characterized by multicolor fluorescence in situ hybridization (mFISH) and array comparative genomic hybridization (…

0301 basic medicineDown-RegulationBiologymedicine.disease_cause030226 pharmacology & pharmacyGeneral Biochemistry Genetics and Molecular BiologyTranscriptome03 medical and health sciences0302 clinical medicineCell Line TumormedicineHumansGene Regulatory NetworksProtein Interaction MapsGeneral Pharmacology Toxicology and PharmaceuticsGeneTranscription factorMetaphaseChromosome AberrationsMutationmedicine.diagnostic_testBrain NeoplasmsGene Expression ProfilingGeneral MedicineGenomicsUp-RegulationGene expression profilingErbB ReceptorsGene Expression Regulation Neoplastic030104 developmental biologyDrug Resistance NeoplasmMutationCancer researchCarcinogenesisGlioblastomaTranscriptomeComparative genomic hybridizationFluorescence in situ hybridizationSignal TransductionLife sciences
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Virus-host interactome: Putting the accent on how it changes

2017

[EN] Viral infections are extremely complex processes that could only be well understood by precisely characterizing the interaction networks between the virus and the host components. In recent years, much effort has gone in this directionwith the aimof unveiling themolecular basis of viral pathology. These networks are mostly formed by viral and host proteins, and are expected to be dynamic bothwith time and space (i.e., with the progression of infection, as well as with the virus and host genotypes; what we call plastodynamic). This largely overlooked spatio-temporal evolution urgently calls for a change both in the conceptual paradigms and experimental techniques used so far to characte…

0301 basic medicineEvolutionSystems biologyBiophysicsComplex diseaseDiseaseComputational biologyBiologyBioinformaticsBiochemistryInteractomeVirusViral Proteins03 medical and health sciencesSpatio-Temporal AnalysisProtein networkVirologyStress (linguistics)AnimalsHumansProtein Interaction MapsVirus host030102 biochemistry & molecular biologyHost (biology)030104 developmental biologyVirus DiseasesHost-Pathogen InteractionsSystems biologyJournal of Proteomics
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HIPPIE v2.0: Enhancing meaningfulness and reliability of protein-protein interaction networks

2016

The increasing number of experimentally detected interactions between proteins makes it difficult for researchers to extract the interactions relevant for specific biological processes or diseases. This makes it necessary to accompany the large-scale detection of protein-protein interactions (PPIs) with strategies and tools to generate meaningful PPI subnetworks. To this end, we generated the Human Integrated Protein-Protein Interaction rEference or HIPPIE (http://cbdm.uni-mainz.de/hippie/). HIPPIE is a one-stop resource for the generation and interpretation of PPI networks relevant to a specific research question. We provide means to generate highly reliable, context-specific PPI networks …

0301 basic medicineHippieReliability (computer networking)BiologyWeb BrowserBioinformaticsProtein protein interaction networkComputational biology03 medical and health sciences0302 clinical medicineResource (project management)GeneticsHumansDatabase IssueGraph algorithmsProtein Interaction MapsDatabases ProteinResearch questionGraphical user interfacebusiness.industryReproducibility of ResultsData science030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONProtein interaction mappingbusiness030217 neurology & neurosurgeryProtein Interaction MapSoftware
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TLR4 participates in the transmission of ethanol-induced neuroinflammation via astrocyte-derived extracellular vesicles

2019

Background Current evidence indicates that extracellular vesicles (EVs) participate in intercellular signaling, and in the regulation and amplification of neuroinflammation. We have previously shown that ethanol activates glial cells through Toll-like receptor 4 (TLR4) by triggering neuroinflammation. Here, we evaluate if ethanol and the TLR4 response change the release and inflammatory content of astrocyte-derived EVs, and whether these vesicles are capable of communicating with neurons by spreading neuroinflammation. Methods Cortical neurons and astrocytes in culture were used. EVs were isolated from the extracellular medium of the primary culture of the WT and TLR4-KO astrocytes treated …

0301 basic medicineImmunologyInflammationlcsh:RC346-42903 medical and health sciencesCellular and Molecular NeuroscienceMice0302 clinical medicineWestern blotNeuroinflammationGlial cellsExtracellularmedicineAnimalsProtein Interaction MapsReceptorNeuroinflammationCells Culturedlcsh:Neurology. Diseases of the nervous systemInflammationMice KnockoutNeuronsmedicine.diagnostic_testEthanolChemistryGeneral NeuroscienceResearchExtracellular vesiclesCell biologyMice Inbred C57BLToll-Like Receptor 4030104 developmental biologymedicine.anatomical_structureNeurologyAstrocytesTLR4medicine.symptom030217 neurology & neurosurgeryIntracellularAstrocyteJournal of Neuroinflammation
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