Search results for " Methods"

showing 10 items of 4102 documents

Trichomonicidal and parasite membrane damaging activity of bidesmosic saponins from Manilkara rufula.

2017

The infection caused by Trichomonas vaginalis is the most common but overlooked non-viral sexually transmitted disease worldwide. Treatment relies on one class of drugs, the 5-nitroimidazoles, but resistance is widespread. New drugs are urgently needed. We reported the effect of crude and purified saponin fractions of Manilkara rufula against Trichomonas vaginalis. The compound responsible for antitrichomonal activity was isolated and identified as an uncommon bidesmosic saponin, Mi-saponin C. This saponin eliminated parasite viability without toxicity against the human vaginal epithelial line (HMVII). In addition, the isolated saponin fraction improved the metronidazole effect against a me…

0301 basic medicineSexually transmitted diseaseNeutrophilsCell MembranesSaponinlcsh:Medicinemedicine.disease_causePathology and Laboratory MedicineBiochemistryMass SpectrometryAnalytical ChemistryWhite Blood CellsOxidative DamageSpectrum Analysis TechniquesAnimal CellsMedicine and Health SciencesParasite hostingElectron Microscopylcsh:Sciencechemistry.chemical_classificationSexually transmitted diseasesTrichomonas VaginalisMicroscopyMultidisciplinaryEukaryotaProtistsMatrix-Assisted Laser Desorption Ionization Mass Spectrometrymusculoskeletal systemChemistryFlagellaToxicityPhysical SciencesVaginaTrichomonasFemaleCellular TypesCellular Structures and OrganellesPathogensMalalties de transmissió sexualIntracellularmedicine.drugResearch ArticlePathogen MotilityEfecte dels medicaments sobre els microorganismesVirulence FactorsImmune CellsImmunologyBiologyResearch and Analysis Methodscomplex mixturesMicrobiologyCell Line03 medical and health sciencesParasite Groupsparasitic diseasesmedicineTrichomonas vaginalisSaponinasHumansTrophozoitesResistència als medicamentsManilkaraBlood CellsCell Membranelcsh:ROrganismsBiology and Life SciencesCell BiologyIntracellular MembranesSaponinsbiology.organism_classificationCell membranescarbohydrates (lipids)MetronidazoleMicroscopy Electron030104 developmental biologychemistryManilkara rufulaDrug resistanceEffect of drugs on microorganismsTrichomonas vaginalisParasitologyTransmission Electron Microscopylcsh:QReactive Oxygen SpeciesApicomplexaMembranes cel·lularsChromatography LiquidPRODUTOS NATURAISPLoS ONE
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A Genome-Wide Association Study of Attention Function in a Population-Based Sample of Children

2016

BACKGROUND: Attention function filters and selects behaviorally relevant information. This capacity is impaired in some psychiatric disorders and has been proposed as an endophenotype for Attention-Deficit/Hyperactivity Disorder; however, its genetic basis remains largely unknown. This study aimed to identify single nucleotide polymorphism (SNPs) associated with attention function. MATERIALS AND METHODS: The discovery sample included 1655 children (7-12 years) and the replication sample included 546 children (5-8 years). Five attention outcomes were assessed using the computerized Attentional Network Test (ANT): alerting, orienting, executive attention, Hit Reaction time (HRT) and the stand…

0301 basic medicineSocial Scienceslcsh:MedicineGenome-wide association studyBioinformatics0302 clinical medicineHuman geneticsMedicine and Health SciencesMedicinePsychologyAttentionlcsh:ScienceSalut mentalMultidisciplinaryGenètica humanaNeurodegenerative DiseasesGenomicsAlzheimer's diseaseNeurologyResearch ArticleHiperactivitatImaging TechniquesInfants -- DesenvolupamentBrain Structure and FunctionSingle-nucleotide polymorphismNeuroimagingNeuropsychiatric DisordersResearch and Analysis Methods03 medical and health sciencesNeuroimagingDevelopmental NeuroscienceAlzheimer DiseaseMental Health and PsychiatryGenome-Wide Association StudiesGeneticsSNPAllelesbusiness.industrylcsh:RCognitive PsychologyBiology and Life SciencesComputational BiologyHuman GeneticsGenome AnalysisHuman genetics030104 developmental biologyMalaltia d'AlzheimerGenetic LociNeurodevelopmental DisordersEndophenotypeMultiple comparisons problemCognitive ScienceDementiaAdhdlcsh:Qbusiness030217 neurology & neurosurgeryNeuroscience
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Ecological network analysis reveals the inter-connection between soil biodiversity and ecosystem function as affected by land use across Europe

2016

Soil organisms are considered drivers of soil ecosystem services (primary productivity, nutrient cycling, carbon cycling, water regulation) associated with sustainable agricultural production. Soil biodiversity was highlighted in the soil thematic strategy as a key component of soil quality. The lack of quantitative standardised data at a large scale has resulted in poor understanding of how soil biodiversity could be incorporated into legislation for the protection of soil quality. In 2011, the EcoFINDERS (FP7) project sampled 76 sites across 11 European countries, covering five biogeographical zones (Alpine, Atlantic, Boreal, Continental and Mediterranean) and three land-uses (arable, gra…

0301 basic medicineSoil biodiversityNitrogenSoil biology[SDV]Life Sciences [q-bio]DIVERSITYSoil ScienceCarbon cycling and storageWiskundige en Statistische Methoden - BiometrisNutrient cyclingARBUSCULAR MYCORRHIZAL FUNGIFOOD WEBS03 medical and health sciencesFOREST SOILCARBON SEQUESTRATIONSoil functionsSoil ecologyQUALITYMICROBIAL COMMUNITIESMathematical and Statistical Methods - BiometrisBodembiologie2. Zero hungerSoil healthEcologyEcologySoil organic matterUSE SYSTEMSPhosphorus04 agricultural and veterinary sciencesSoil carbonSoil Biology15. Life on landPE&RCAgricultural and Biological Sciences (miscellaneous)Soil qualitySoil biodiversityTERRESTRIAL ECOSYSTEMS030104 developmental biologyAgronomyinternational040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceEXTRACELLULAR ENZYME-ACTIVITIESEcosystem functionNetwork analysis
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Fast UPLC/PDA determination of squalene in Sicilian P.D.O. pistachio from Bronte: Optimization of oil extraction method and analytical characterizati…

2017

Abstract A fast reversed-phase UPLC method was developed for squalene determination in Sicilian pistachio samples that entry in the European register of the products with P.D.O. In the present study the SPE procedure was optimized for the squalene extraction prior to the UPLC/PDA analysis. The precision of the full analytical procedure was satisfactory and the mean recoveries were 92.8 ± 0.3% and 96.6 ± 0.1% for 25 and 50 mg L−1 level of addition, respectively. Selected chromatographic conditions allowed a very fast squalene determination; in fact it was well separated in ∼0.54 min with good resolution. Squalene was detected in all the pistachio samples analyzed and the levels ranged from 5…

0301 basic medicineSqualeneResolution (mass spectrometry)Settore CHIM/10 - Chimica Degli AlimentiUplc pda01 natural sciencesHigh-performance liquid chromatographyAnalytical Chemistry03 medical and health sciencesSqualenechemistry.chemical_compoundLimit of DetectionNutsPlant OilsSicilySqualene; pistachio (Pistacia vera L.); Food analysis; Green pistachio Bronte (P.D.O.); UPLC/PDA analysis030109 nutrition & dieteticsChromatographyChemistryPlant Extracts010401 analytical chemistryExtraction (chemistry)Reproducibility of ResultsGeneral MedicineSqualene pistachio (Pistacia vera L.) food analysis Green Pistachio Bronte (P.D.O.) UPLC/PDA analysis.Squalene pistachio (Pistacia vera L.) Food analysis Green pistachio Bronte (P.D.O.) UPLC/PDA analysis0104 chemical sciencesPistaciaExtraction methodsFood AnalysisFood Science
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Combining multiple hypothesis testing with machine learning increases the statistical power of genome-wide association studies

2016

Mieth, Bettina et al.

0301 basic medicineStatistical methodsComputer scienceGenome-wide association studyMachine learningcomputer.software_genreGenome-wide association studiesStatistical powerArticle[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Set (abstract data type)03 medical and health sciences[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]10007 Department of EconomicsStatistical significanceReplication (statistics)genomeStatistical hypothesis testingGenetic association1000 MultidisciplinaryMultidisciplinarybusiness.industryComputational scienceInstitut für Mathematik330 EconomicsSupport vector machine030104 developmental biologyMultiple comparisons problemwide association studiesstatistical methodsArtificial intelligencebusinesscomputer
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Gene-based and semantic structure of the Gene Ontology as a complex network

2012

The last decade has seen the advent and consolidation of ontology based tools for the identification and biological interpretation of classes of genes, such as the Gene Ontology. The information accumulated time-by-time and included in the GO is encoded in the definition of terms and in the setting up of semantic relations amongst terms. This approach might be usefully complemented by a bottom-up approach based on the knowledge of relationships amongst genes. To this end, we investigate the Gene Ontology from a complex network perspective. We consider the semantic network of terms naturally associated with the semantic relationships provided by the Gene Ontology consortium and a gene-based …

0301 basic medicineStatistics and ProbabilityFOS: Computer and information sciencesPhysics - Physics and SocietyComplex systemComputer scienceMolecular Networks (q-bio.MN)Complex systemFOS: Physical sciencesNetworkCondensed Matter PhysicPhysics and Society (physics.soc-ph)computer.software_genreQuantitative Biology - Quantitative MethodsStatistics - ApplicationsGeneSemantic network03 medical and health sciencesSemantic similarityQuantitative Biology - Molecular NetworksApplications (stat.AP)GeneQuantitative Methods (q-bio.QM)Community detectionGene ontologybusiness.industryOntologyOntology-based data integrationComplex networkCondensed Matter PhysicsBipartite system030104 developmental biologyBipartite system; Community detection; Complex systems; Genes; Networks; Ontology; Condensed Matter Physics; Statistics and ProbabilityFOS: Biological sciencesOntologyWeighted networkData miningArtificial intelligenceComputingMethodologies_GENERALbusinesscomputerNatural language processing
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panISa: ab initio detection of insertion sequences in bacterial genomes from short read sequence data.

2018

Abstract Motivation The advent of next-generation sequencing has boosted the analysis of bacterial genome evolution. Insertion sequence (IS) elements play a key role in prokaryotic genome organization and evolution, but their repetitions in genomes complicate their detection from short-read data. Results PanISa is a software pipeline that identifies IS insertions ab initio in bacterial genomes from short-read data. It is a highly sensitive and precise tool based on the detection of read-mapping patterns at the insertion site. PanISa performs better than existing IS detection systems as it is based on a database-free approach. We applied it to a high-risk clone lineage of the pathogenic spec…

0301 basic medicineStatistics and ProbabilityLineage (genetic)Computer scienceAb initioComputational biologyBacterial genome size[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiochemistryGenome[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Insertion sequenceMolecular BiologyGenomic organizationHigh-Throughput Nucleotide SequencingSequence Analysis DNA[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyPipeline (software)[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]DNA Transposable Elements[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Genome BacterialSoftwareBioinformatics (Oxford, England)
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Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry.

2017

International audience; Controlling the technological variability on an analytical chain is critical for biomarker discovery. The sources of technological variability should be modeled, which calls for specific experimental design, signal processing, and statistical analysis. Furthermore, with unbalanced data, the various components of variability cannot be estimated with the sequential or adjusted sums of squares of usual software programs. We propose a novel approach to variance component analysis with application to the matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) technology and use this approach for protein quantification by a classical signal processing algori…

0301 basic medicineStatistics and ProbabilityMALDI-TOFexperimental designBiometryprotein quantificationQuantitative proteomicsVariance component analysis[ CHIM ] Chemical Sciences01 natural sciencesSignaltechnological variability010104 statistics & probability03 medical and health sciencesstatistical analysis[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[CHIM.ANAL]Chemical Sciences/Analytical chemistryComponent (UML)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]biomarker discoverysum of squares type0101 mathematicsBiomarker discoverysignal processingMathematicsSignal processingAnalysis of Variance[ PHYS ] Physics [physics]Noise (signal processing)ProteinsGeneral MedicineVariance (accounting)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]030104 developmental biologySpectrometry Mass Matrix-Assisted Laser Desorption-IonizationLinear Modelsvariance components[ CHIM.ANAL ] Chemical Sciences/Analytical chemistryStatistics Probability and UncertaintyBiological systemAlgorithmsBiomarkersBiometrical journal. Biometrische Zeitschrift
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Simulation-based estimation of branching models for LTR retrotransposons

2017

Abstract Motivation LTR retrotransposons are mobile elements that are able, like retroviruses, to copy and move inside eukaryotic genomes. In the present work, we propose a branching model for studying the propagation of LTR retrotransposons in these genomes. This model allows us to take into account both the positions and the degradation level of LTR retrotransposons copies. In our model, the duplication rate is also allowed to vary with the degradation level. Results Various functions have been implemented in order to simulate their spread and visualization tools are proposed. Based on these simulation tools, we have developed a first method to evaluate the parameters of this propagation …

0301 basic medicineStatistics and ProbabilitySource codeTheoretical computer scienceRetroelementsmedia_common.quotation_subjectRetrotransposon[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiologyBiochemistryGenomeChromosomesBranching (linguistics)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SoftwareAnimalsComputer SimulationMolecular BiologyComputingMilieux_MISCELLANEOUSmedia_commoncomputer.programming_languageGeneticsGenomeModels Geneticbusiness.industry[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Python (programming language)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsVisualizationComputational Mathematics030104 developmental biologyDrosophila melanogasterComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Programming Languages[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Mobile genetic elements[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerSoftware
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Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach

2021

International audience; The specific structure of the extracellular matrix (ECM), and in particular the density and orientation of collagen fibres, plays an important role in the evolution of solid cancers. While many experimental studies discussed the role of ECM in individual and collective cell migration, there are still unanswered questions about the impact of nonlocal cell sensing of other cells on the overall shape of tumour aggregation and its migration type. There are also unanswered questions about the migration and spread of tumour that arises at the boundary between different tissues with different collagen fibre orientations. To address these questions, in this study we develop …

0301 basic medicineStatistics and Probabilitymulti-scale hybrid mathematical modelMaterials sciencecell migration[SDV.CAN]Life Sciences [q-bio]/Cancercontinuous cell-extracellular matrix interactionsQA273-280Articlenumerical simulationsExtracellular matrix03 medical and health sciences0302 clinical medicineCollagen fibres[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]T57-57.97Applied mathematics. Quantitative methodsApplied MathematicsCollective cell migrationCell migrationTumour invasionCollagen fibre030104 developmental biologyorientation of extracellular matrix fibresagent based discrete cell-cell interactionsContinuous fieldBiological systemProbabilities. Mathematical statistics030217 neurology & neurosurgeryFrontiers in Applied Mathematics and Statistics
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