Search results for "networks"

showing 10 items of 3260 documents

Increased liver carcinogenesis and enrichment of stem cell properties in livers of Dickkopf 2 (Dkk2) deleted mice.

2013

// Thorsten Maass 1 , Jens Marquardt 2 , Ju-Seog Lee 3 , Markus Krupp 4 , Peter Scholz-Kreisel 2 , Carolin Mogler 5 , Peter Schirmacher 5 , Martina Muller 1 , Heiner Westphal 6 , Peter R. Galle 2 , Andreas Teufel 1 1 Department of Internal Medicine I, University of Regensburg, Regensburg, Germany 2 I. Department of Medicine, University Medical Center Mainz, Mainz, Germany 3 Cancer Biology Program, MD Anderson Cancer Center, Houston, TX, USA 4 Department of Informatics, Johannes Gutenberg University Mainz, Mainz, Germany 5 Institute of Pathology, University of Heidelberg, Heidelberg, Germany 6 Laboratory of Mammalian Genes and Development, National Institute of Child Health and Human Develop…

0301 basic medicinePathologymedicine.medical_specialtyCarcinogenesisBiologymedicine.disease_causeTranscriptome03 medical and health sciencesMicestem cellsmedicineAtypiaAnimalsHumansGene Regulatory Networksprognostic signatureGeneWnt Signaling PathwayMice Knockouttranscriptomics profilingLiver CarcinogenesisDkk2Liver NeoplasmsGastroenterologyWnt signaling pathwaymedicine.diseaseMolecular biologyMice Inbred C57BL030104 developmental biologymedicine.anatomical_structureOncologyHepatocyteCancer researchNeoplastic Stem CellsIntercellular Signaling Peptides and ProteinsStem cellLiver cancerCarcinogenesisgenetic signatureResearch PaperOncotarget
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Stochastic sampling effects favor manual over digital contact tracing.

2020

Isolation of symptomatic individuals, tracing and testing of their nonsymptomatic contacts are fundamental strategies for mitigating the current COVID-19 pandemic. The breaking of contagion chains relies on two complementary strategies: manual reconstruction of contacts based on interviews and a digital (app-based) privacy-preserving contact tracing. We compare their effectiveness using model parameters tailored to describe SARS-CoV-2 diffusion within the activity-driven model, a general empirically validated framework for network dynamics. We show that, even for equal probability of tracing a contact, manual tracing robustly performs better than the digital protocol, also taking into accou…

0301 basic medicinePhysics - Physics and SocietyComputer scienceEpidemiologyScienceComplex networksFOS: Physical sciencesGeneral Physics and AstronomyPhysics and Society (physics.soc-ph)Tracingcomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyArticleSpecimen Handling03 medical and health sciences0302 clinical medicineHumans030212 general & internal medicineQuantitative Biology - Populations and EvolutionPandemicsCondensed Matter - Statistical Mechanicsstochastic modelProtocol (science)Stochastic ProcessesMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)Stochastic processDiagnostic Tests RoutineSARS-CoV-2QPopulations and Evolution (q-bio.PE)Sampling (statistics)COVID-19General ChemistryComplex networkModels TheoreticalNetwork dynamics030104 developmental biologyFOS: Biological sciencesScalabilityQuarantineData miningContact TracingcomputerContact tracingAlgorithmsNature communications
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Statistical characterization of deviations from planned flight trajectories in air traffic management

2016

Understanding the relation between planned and realized flight trajectories and the determinants of flight deviations is of great importance in air traffic management. In this paper we perform an in depth investigation of the statistical properties of planned and realized air traffic on the German airspace during a 28 day periods, corresponding to an AIRAC cycle. We find that realized trajectories are on average shorter than planned ones and this effect is stronger during night-time than daytime. Flights are more frequently deviated close to the departure airport and at a relatively large angle to destination. Moreover, the probability of a deviation is higher in low traffic phases. All the…

0301 basic medicinePhysics - Physics and SocietyEngineeringStrategy and ManagementFOS: Physical sciencesTransportationPhysics and Society (physics.soc-ph)Management Monitoring Policy and LawStability (probability)socio-technical complex systemAviation safety03 medical and health sciencesControl theory0502 economics and business11. SustainabilityAir traffic management complex networks trajectoriesSimulationRandomness050210 logistics & transportationbusiness.industry05 social sciencesAir traffic managementAir traffic controlSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)030104 developmental biologyMetric (mathematics)TrajectoryNull hypothesisbusinessLawair traffc managementJournal of Air Transport Management
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MicroRNA Intercellular Transfer and Bioelectrical Regulation of Model Multicellular Ensembles by the Gap Junction Connectivity.

2017

We have studied theoretically the microRNA (miRNA) intercellular transfer through voltage-gated gap junctions in terms of a biophysically grounded system of coupled differential equations. Instead of modeling a specific system, we use a general approach describing the interplay between the genetic mechanisms and the single-cell electric potentials. The dynamics of the multicellular ensemble are simulated under different conditions including spatially inhomogeneous transcription rates and local intercellular transfer of miRNAs. These processes result in spatiotemporal changes of miRNA, mRNA, and ion channel protein concentrations that eventually modify the bioelectrical states of small multi…

0301 basic medicinePhysicsModels MolecularCell signalingQuantitative Biology::Molecular NetworksEnsemble averageGap junctionIon Channel ProteinGap JunctionsNanotechnologyTransfectionQuantitative Biology::GenomicsQuantitative Biology::Cell BehaviorSurfaces Coatings and FilmsCoupled differential equations03 medical and health sciencesMulticellular organismMicroRNAs030104 developmental biologymicroRNAMaterials ChemistryBiophysicsPhysical and Theoretical ChemistryIntracellularThe journal of physical chemistry. B
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Chimeric proteins tagged with specific 3xHA cassettes may present instability and functional problems

2017

Epitope-tagging of proteins has become a widespread technique for the analysis of protein function, protein interactions and protein localization among others. Tagging of genes by chromosomal integration of PCR amplified cassettes is a widely used and fast method to label proteins in vivo. Different systems have been developed during years in the yeast Saccharomyces cerevisiae. In the present study, we analysed systematically a set of yeast proteins that were fused to different tags. Analysis of the tagged proteins revealed an unexpected general effect on protein level when some specific tagging module was used. This was due in all cases to a destabilization of the proteins and caused a red…

0301 basic medicinePhysiologyProtein Extractionlcsh:MedicineYeast and Fungal ModelsPolymerase Chain ReactionBiochemistryGreen fluorescent proteinEpitopesDatabase and Informatics MethodsGene Expression Regulation FungalImmune PhysiologyProtein purificationMacromolecular Structure AnalysisMedicine and Health SciencesProto-Oncogene Proteins c-myclcsh:ScienceStainingExtraction TechniquesImmune System ProteinsMultidisciplinarybiologyGene targetingProtein subcellular localization predictionMembrane StainingExperimental Organism SystemsGene TargetingArtifactsSequence AnalysisPlasmidsResearch ArticleProtein StructureSaccharomyces cerevisiae ProteinsBioinformaticsRecombinant Fusion ProteinsGenetic VectorsGreen Fluorescent ProteinsImmunologySaccharomyces cerevisiaeHemagglutinins ViralSaccharomyces cerevisiaeComputational biologyResearch and Analysis MethodsGreen Fluorescent ProteinGenomic InstabilityAntibodiesProtein–protein interactionProto-Oncogene Proteins c-mycSaccharomyces03 medical and health sciencesModel OrganismsAmino Acid Sequence AnalysisMolecular BiologyStaining and Labelinglcsh:ROrganismsFungiBiology and Life SciencesProteinsbiology.organism_classificationFusion proteinYeastLuminescent Proteins030104 developmental biologySpecimen Preparation and Treatmentlcsh:QProtein Structure NetworksPLOS ONE
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On the structural connectivity of large-scale models of brain networks at cellular level

2021

AbstractThe brain’s structural connectivity plays a fundamental role in determining how neuron networks generate, process, and transfer information within and between brain regions. The underlying mechanisms are extremely difficult to study experimentally and, in many cases, large-scale model networks are of great help. However, the implementation of these models relies on experimental findings that are often sparse and limited. Their predicting power ultimately depends on how closely a model’s connectivity represents the real system. Here we argue that the data-driven probabilistic rules, widely used to build neuronal network models, may not be appropriate to represent the dynamics of the …

0301 basic medicineProcess (engineering)Computer scienceScienceModels NeurologicalCellular levelMachine learningcomputer.software_genreArticle03 medical and health sciencesComputational biophysics0302 clinical medicineSettore MAT/05 - Analisi MatematicamedicineBiological neural networkHumansSettore MAT/07 - Fisica MatematicaOn the structural connectivity of large-scale models of brain networks at cellular levelSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNeuronsMultidisciplinaryNetwork modelsSettore INF/01 - Informaticabusiness.industryQRProbabilistic logicBrain030104 developmental biologymedicine.anatomical_structureMathematical framework Neuron networks Large‑scale model Data‑driven probabilistic rules Modeling cellular-level brain networksMedicineNeuronArtificial intelligencebusinessScale modelcomputer030217 neurology & neurosurgeryScientific Reports
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E2F1 interacts with BCL-xL and regulates its subcellular localization dynamics to trigger cell death

2018

International audience; E2F1 is the main pro-apoptotic effector of the pRB-regulated tumor suppressor pathway by promoting the transcription of various pro-apoptotic proteins. We report here that E2F1 partly localizes to mitochondria, where it favors mitochondrial outer membrane permeabilization. E2F1 interacts with BCL-xL independently from its BH3 binding interface and induces a stabilization of BCL-xL at mitochondrial membranes. This prevents efficient control of BCL-xL over its binding partners, in particular over BAK resulting in the induction of cell death. We thus identify a new, non-BH3-binding regulator of BCL-xL localization dynamics that influences its anti-apoptotic activity.

0301 basic medicineProgrammed cell deathTranscription Geneticbcl-X ProteinRegulatorBcl-xL[SDV.CAN]Life Sciences [q-bio]/CancerBCL-xL mobilityMitochondrionBiochemistrylaw.invention[ SDV.CAN ] Life Sciences [q-bio]/CancerE2F1 Subject Category Autophagy & Cell Death03 medical and health sciences[SDV.CAN] Life Sciences [q-bio]/CancerlawBCL-2 familyCell Line TumorGeneticsJournal ArticleHumansE2F1Molecular BiologyCell DeathbiologyManchester Cancer Research CentreEffectorChemistryResearchInstitutes_Networks_Beacons/mcrcScientific ReportsapoptosisSubcellular localizationMitochondriaCell biologyProtein Transportbcl-2 Homologous Antagonist-Killer Protein030104 developmental biologyGene Expression RegulationProto-Oncogene Proteins c-bcl-2biology.proteinSuppressorbiological phenomena cell phenomena and immunityExtracellular SpaceE2F1 Transcription FactorProtein Binding
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Regulatory network analysis in estradiol-treated human endothelial cells.

2021

Background/Aims: Estrogen has been reported to have beneficial effects on vascular biology through direct actions on endothelium. Together with transcription factors, miRNAs are the major drivers of gene expression and signaling networks. The objective of this study was to identify a com-prehensive regulatory network (miRNA-transcription factor-downstream genes) that controls the transcriptomic changes observed in endothelial cells exposed to estradiol. Methods: miR-NA/mRNA interactions were assembled using our previous microarray data of human umbilical vein endothelial cells (HUVEC) treated with 17ß- Estradiol (E2) (1 nmol/lL, 24 h). miRNA--mRNA pairings and their associated canonical pat…

0301 basic medicineQH301-705.5FisiologiaBiologyCatalysisArticleInorganic Chemistry03 medical and health sciences0302 clinical medicineGene expressionCadherin bindingHuman Umbilical Vein Endothelial CellsHumansGene Regulatory NetworksRNA MessengerPhysical and Theoretical ChemistryBiology (General)Molecular BiologyTranscription factorQD1-999Spectroscopytranscription factormiRNAEstradiolMicroarray analysis techniquesOrganic ChemistryPromoterEstrogensGeneral Medicineendothelial cellsComputer Science ApplicationsCell biologyDNA binding siteChemistryMicroRNAs030104 developmental biology030220 oncology & carcinogenesisCell adhesion molecule bindingTRANSFACTranscriptome
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A Methodological Framework to Discover Pharmacogenomic Interactions Based on Random Forests

2021

The identification of genomic alterations in tumor tissues, including somatic mutations, deletions, and gene amplifications, produces large amounts of data, which can be correlated with a diversity of therapeutic responses. We aimed to provide a methodological framework to discover pharmacogenomic interactions based on Random Forests. We matched two databases from the Cancer Cell Line Encyclopaedia (CCLE) project, and the Genomics of Drug Sensitivity in Cancer (GDSC) project. For a total of 648 shared cell lines, we considered 48,270 gene alterations from CCLE as input features and the area under the dose-response curve (AUC) for 265 drugs from GDSC as the outcomes. A three-step reduction t…

0301 basic medicineRandom ForestsPharmacogenomic Variantsdrug responseGenomicsComputational biologycell linesBiologyQH426-470Article03 medical and health sciences0302 clinical medicineNeoplasmsDrug responseGeneticsHumanscancerGene Regulatory Networksgenomic alterationGenetics (clinical)Random Forestcell linegenomic alterationsTumor tissueRandom forestpharmacogenomic interactions030104 developmental biologyConcordance correlation coefficientDrug Resistance Neoplasm030220 oncology & carcinogenesisPharmacogenomicsIdentification (biology)pharmacogenomic interactions.Cancer cell linesAlgorithmsGenome-Wide Association StudyGenes
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The ribosome assembly gene network is controlled by the feedback regulation of transcription elongation

2017

Ribosome assembly requires the concerted expression of hundreds of genes, which are transcribed by all three nuclear RNA polymerases. Transcription elongation involves dynamic interactions between RNA polymerases and chromatin. We performed a synthetic lethal screening in Saccharomyces cerevisiae with a conditional allele of SPT6, which encodes one of the factors that facilitates this process. Some of these synthetic mutants corresponded to factors that facilitate pre-rRNA processing and ribosome biogenesis. We found that the in vivo depletion of one of these factors, Arb1, activated transcription elongation in the set of genes involved directly in ribosome assembly. Under these depletion c…

0301 basic medicineRibosomal ProteinsSaccharomyces cerevisiae ProteinsTranscription Elongation GeneticCèl·lulesÀcids nucleicsGene regulatory networkRibosome biogenesisSaccharomyces cerevisiaeBiologyRibosome assembly03 medical and health sciencesRegulació genèticaGeneticsGene Regulatory NetworksHistone ChaperonesRNA Processing Post-TranscriptionalGeneAdenosine TriphosphatasesFeedback PhysiologicalMessenger RNAOrganelle BiogenesisGene regulation Chromatin and EpigeneticsRNAChromatinCell biology030104 developmental biologyRNA RibosomalMutationATP-Binding Cassette TransportersOrganelle biogenesisTranscriptional Elongation FactorsSynthetic Lethal MutationsTranscriptomeRibosomes
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