Search results for "HMS"

showing 10 items of 1766 documents

Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer

2021

BackgroundThe prognosis of early breast cancer is linked to clinic-pathological stage and the molecular characteristics of intrinsic tumor cells. In some patients, the amount and quality of tumor-infiltrating immune cells appear to affect long term outcome. We aimed to propose a new tool to estimate immune infiltrate, and link these factors to patient prognosis according to breast cancer molecular subtypes.MethodsWe performed in silico analyses in more than 2800 early breast cancer transcriptomes with corresponding clinical annotations. We first developed a new gene expression deconvolution algorithm that accurately estimates the quantity of immune cell populations (tumor immune contexture,…

0301 basic medicineOncologyCancer Researchmedicine.medical_specialtyMyeloid2435In silicoImmunologyCellbiostatisticsBreast NeoplasmsTranscriptome03 medical and health sciences0302 clinical medicineBreast cancerImmune systemLymphocytes Tumor-InfiltratingInternal medicinemedicineBiomarkers TumorImmunology and Allergytumor microenvironmentHumans1506Stage (cooking)RC254-282Neoplasm StagingPharmacologyClinical/Translational Cancer ImmunotherapyTumor microenvironmentbusiness.industryGene Expression ProfilingNeoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseasePrognosisSurvival AnalysisGene Expression Regulation Neoplastic030104 developmental biologymedicine.anatomical_structureOncology030220 oncology & carcinogenesistumor biomarkersMolecular MedicineFemalebusinessAlgorithmsUnsupervised Machine LearningJournal for Immunotherapy of Cancer
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Dissection of DLBCL microenvironment provides a gene expression-based predictor of survival applicable to formalin-fixed paraffin-embedded tissue

2018

Abstract Background Gene expression profiling (GEP) studies recognized a prognostic role for tumor microenvironment (TME) in diffuse large B-cell lymphoma (DLBCL), but the routinely adoption of prognostic stromal signatures remains limited. Patients and methods Here, we applied the computational method CIBERSORT to generate a 1028-gene matrix incorporating signatures of 17 immune and stromal cytotypes. Then, we carried out a deconvolution on publicly available GEP data of 482 untreated DLBCLs to reveal associations between clinical outcomes and proportions of putative tumor-infiltrating cell types. Forty-five genes related to peculiar prognostic cytotypes were selected and their expression …

0301 basic medicineOncologyMalePathologyHematologic MalignanciesBiopsyDatasets as TopicPredictive Value of TestDeconvolutionCohort StudiesTranscriptomeAntibodies Monoclonal Murine-Derived0302 clinical medicineprognosticatorsimmune system diseaseshemic and lymphatic diseasesTumor MicroenvironmentCluster Analysisdigital expression analysisRandomized Controlled Trials as TopicParaffin EmbeddingHematology; OncologyHematologyMiddle AgedPrognosisCorrigendaProgression-Free SurvivalAlgorithmOncology030220 oncology & carcinogenesisCell-of-originFemaleLymphoma Large B-Cell DiffuseSurvival AnalysiAlgorithmsHumanAdultmedicine.medical_specialtyStromal cellMicroenvironmentFormalin fixed paraffin embeddedPrognosiReproducibility of ResultDissection (medical)03 medical and health sciencesDigital expression analysiYoung AdultPrognosticatorPredictive Value of TestsFormaldehydeInternal medicinemedicineHumansProgression-free survivalGeneSurvival analysisAgedTumor microenvironmentCluster AnalysiProportional hazards modelbusiness.industryGene Expression ProfilingReproducibility of ResultsComputational BiologyOriginal Articlesmedicine.diseaseSurvival AnalysisGene expression profiling030104 developmental biologyDLBCLCohort StudieTranscriptomebusinessDiffuse large B-cell lymphomaDLBCL microenvironment deconvolution cell-of-origin digital expression analysis prognosticators
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PML risk stratification using anti-JCV antibody index and L-selectin

2015

Background: Natalizumab treatment is associated with progressive multifocal leukoencephalopathy (PML) development. Treatment duration, prior immunosuppressant use, and JCV serostatus are currently used for risk stratification, but PML incidence stays high. Anti-JCV antibody index and L-selectin (CD62L) have been proposed as additional risk stratification parameters. Objective: This study aimed at verifying and integrating both parameters into one algorithm for risk stratification. Methods: Multicentric, international cohorts of natalizumab-treated MS patients were assessed for JCV index (1921 control patients and nine pre-PML patients) and CD62L (1410 control patients and 17 pre-PML patient…

0301 basic medicineOncologymedicine.medical_specialtyMultiple SclerosisvirusesMedizinOpportunistic InfectionsAntibodies ViralBioinformaticsRisk AssessmentImmunocompromised Host03 medical and health sciences0302 clinical medicineNatalizumabRisk FactorsInternal medicineHumansMedicineSerologic TestsL-SelectinRisk factorRetrospective Studiesbusiness.industryNatalizumabProgressive multifocal leukoencephalopathyMultiple sclerosisIncidence (epidemiology)Leukoencephalopathy Progressive Multifocalvirus diseasesmedicine.diseaseJC VirusEuropeTreatment Outcome030104 developmental biologyNeurologyRelative riskBiomarker (medicine)Neurology (clinical)businessSerostatusAlgorithmsBiomarkers030217 neurology & neurosurgerymedicine.drugMultiple Sclerosis Journal
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A practical method for barcoding and size-trimming PCR templates for amplicon sequencing

2016

Sample barcoding facilitates the analysis of tens or even hundreds of samples in a single next-generation sequencing (NGS) run, but more efficient methods are needed for high-throughput barcoding and size-trimming of long PCR products. Here we present a two-step PCR approach for barcoding followed by pool shearing, adapter ligation, and 5′ end selection for trimming sets of DNA templates of any size. Our new trimming method offers clear benefits for phylogenetic studies, since targeting exactly the same region maximizes the alignment and enables the use of operational taxonomic unit (OTU)-based algorithms.

0301 basic medicineOperational taxonomic unitComputer science030106 microbiologyLong pcrComputational biologyPolymerase Chain ReactionGeneral Biochemistry Genetics and Molecular BiologyDNA sequencinglaw.invention03 medical and health scienceslawDNA Barcoding TaxonomicGenomic libraryligationPolymerase chain reactionGene Libraryta1184ta1182High-Throughput Nucleotide SequencingDNAMolecular biologyprimer030104 developmental biologyTemplatePCRpolyclonalityAmplicon sequencingTrimmingnext-generation sequencingAlgorithmsBiotechnology
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Generalized Molecular Descriptors Derived From Event-Based Discrete Derivative.

2016

In the present study, a generalized approach for molecular structure characterization is introduced, based on the relation frequency matrix (F) representation of the molecular graph and the subsequent calculation of the corresponding discrete derivative (finite difference) over a pair of elements (atoms). In earlier publications (22- 24), an unique event, named connected subgraphs, (based on the Kier-Hall's subgraphs) was systematically employed for the computation of the matrix F. The present report is a generalization of this notion, in which eleven additional events are introduced, classified in three categories, namely, topological (terminal paths, vertex path incidence, quantum subgrap…

0301 basic medicinePharmacologyVertex (graph theory)Discrete mathematicsBasis (linear algebra)Bioinformatics01 natural sciences0104 chemical sciences010404 medicinal & biomolecular chemistry03 medical and health scienceschemistry.chemical_compoundMatrix (mathematics)030104 developmental biologychemistryModels ChemicalMolecular descriptorDrug DiscoveryPath (graph theory)Molecular graphRepresentation (mathematics)FuransAlgorithmsSoftwareEvent (probability theory)Current pharmaceutical design
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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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A New Experiment for the Measurement of the g-Factors of 3He+ and 3He2+.

2018

We describe a new experiment that aims at a parts per billion measurement of the nuclear magnetic moment of 3He2+ and a 100 parts per trillion measurement of the Zeeman effect of the ground-state hyperfine splitting of 3He+. To enable ultrafast and efficient experiment cycles the experiment relies on new technologies such as sympathetic laser cooling of single 3He-ions coupled to a cloud of Doppler-cooled 9Be-ions in a Penning trap or a novel spin-state detection scheme.

0301 basic medicinePhysicsHistoryZeeman effectPenning trap01 natural sciencesComputer Science ApplicationsEducation03 medical and health sciencessymbols.namesake030104 developmental biologyLaser coolingTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0103 physical sciencesNuclear magnetic momentsymbolsPhysics::Atomic PhysicsAtomic physicsPräzisionsexperimente - Abteilung Blaum010306 general physicsUltrashort pulseHyperfine structure
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A Thermodynamic Model of Monovalent Cation Homeostasis in the Yeast Saccharomyces cerevisiae

2016

Cationic and heavy metal toxicity is involved in a substantial number of diseases in mammals and crop plants. Therefore, the understanding of tightly regulated transporter activities, as well as conceiving the interplay of regulatory mechanisms, is of substantial interest. A generalized thermodynamic description is developed for the complex interplay of the plasma membrane ion transporters, membrane potential and the consumption of energy for maintaining and restoring specific intracellular cation concentrations. This concept is applied to the homeostasis of cation concentrations in the yeast cells of S. cerevisiae. The thermodynamic approach allows to model passive ion fluxes driven by the…

0301 basic medicinePhysiologyATPaseAntiporterYeast and Fungal ModelsPhysical ChemistryBiochemistryIon ChannelsCation homeostasisMedicine and Health SciencesHomeostasislcsh:QH301-705.5Membrane potentialEcologybiologyChemistryOrganic CompoundsPhysicsMonosaccharidesElectrophysiologyChemistryComputational Theory and MathematicsBiochemistryModeling and SimulationPhysical SciencesThermodynamicsProtonsAlgorithmsResearch ArticleChemical ElementsSaccharomyces cerevisiaeCarbohydratesSaccharomyces cerevisiaeResearch and Analysis MethodsMembrane PotentialModels Biological03 medical and health sciencesCellular and Molecular NeuroscienceSaccharomycesModel OrganismsCationsGeneticsMolecular BiologyEcology Evolution Behavior and SystematicsIon transporterNuclear PhysicsNucleonsIonsOrganic ChemistrySodiumChemical CompoundsOrganismsFungiBiology and Life SciencesComputational BiologyBiological Transportbiology.organism_classificationYeast030104 developmental biologyGlucoseMetabolismlcsh:Biology (General)SymporterActive transportbiology.proteinBiophysicsPLoS Computational Biology
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KnotGenome: a server to analyze entanglements of chromosomes.

2018

Abstract The KnotGenome server enables the topological analysis of chromosome model data using three-dimensional coordinate files of chromosomes as input. In particular, it detects prime and composite knots in single chromosomes, and links between chromosomes. The knotting complexity of the chromosome is presented in the form of a matrix diagram that reveals the knot type of the entire polynucleotide chain and of each of its subchains. Links are determined by means of the Gaussian linking integral and the HOMFLY-PT polynomial. Entangled chromosomes are presented graphically in an intuitive way. It is also possible to relax structure with short molecular dynamics runs before the analysis. Kn…

0301 basic medicinePolynomialProtein ConformationGaussianPolynucleotidesBiologyType (model theory)Molecular Dynamics SimulationPrime (order theory)ChromosomesQuantitative Biology::Subcellular Processes03 medical and health sciencessymbols.namesakeMatrix (mathematics)Knot (unit)Chain (algebraic topology)GeneticsDiscrete mathematicsInternetDiagramComputational BiologyMathematics::Geometric TopologyQuantitative Biology::Genomics030104 developmental biologyWeb Server IssuesymbolsAlgorithmsSoftwareNucleic acids research
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A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees

2017

Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challenging task; despite the numerous efforts realized to predict/measure BBB passage, they still have several drawbacks. Methods: The prediction of the permeability through the BBB is carried out using classification trees. A large data set of 497 compounds (recently published) is selected to develop the tree model. Results: The best model shows an accuracy higher than 87.6% for training set; the model was also validated using 10-fold cross-validation procedure and through a test set achieving accuracy values of 86.1% and 87.9%, correspondingly. We give a brief explanation, in structural terms, o…

0301 basic medicineQuantitative structure–activity relationshipComputer scienceDatasets as TopicQuantitative Structure-Activity Relationshipcomputer.software_genre01 natural sciencesPermeability03 medical and health sciencesMolecular descriptorDrug DiscoveryInternational literatureComputer SimulationTraining setDecision tree learningDecision Trees0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyPharmaceutical PreparationsBlood-Brain BarrierTest setData miningBlood brain barrier permeabilitycomputerAlgorithmsDecision tree modelMedicinal Chemistry
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