Search results for "Ioni"

showing 10 items of 14048 documents

Evaluation of Alternaria mycotoxins in strawberries: quantification and storage condition

2016

Alternariol (AOH), alternariol methyl ether (AME) and tentoxin (TEN) are Alternaria mycotoxins produced by the most common post-harvest pathogens of fruits. The production of these metabolites depends on several environmental factors, mainly temperature, water activity, pH and the technological treatments that have been applied to the product. In this study, the occurrence of AOH, AME and TEN was evaluated in strawberries samples stored at different temperatures ranges (at 22 ± 2 or 6 ± 2°C) and different periods (up to 1 month) simulating the current practice of consumer's storage conditions. Sample extraction was performed using a liquid-liquid extraction method prior to LC-MS/MS analysis…

0301 basic medicineSpectrometry Mass Electrospray IonizationWater activityHealth Toxicology and MutagenesisLiquid-Liquid ExtractionFood storageAlternariolFood ContaminationToxicologyFragariaPeptides CyclicLactones03 medical and health scienceschemistry.chemical_compound0404 agricultural biotechnologyRefrigerationTandem Mass SpectrometryFood PreservationFood scienceMycotoxinChromatography High Pressure LiquidbiologyChemistryPublic Health Environmental and Occupational HealthFood preservationAlternaria04 agricultural and veterinary sciencesGeneral ChemistryGeneral MedicineHydrogen-Ion ConcentrationMycotoxinsFood InspectionAlternariabiology.organism_classificationFragaria040401 food scienceTeratogens030104 developmental biologyFood StorageSpainFruitEnvironmental chemistryMutagensFood ScienceFood contaminantFood Additives & Contaminants: Part A
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Modelling the effect of temperature, pH, water activity, and organic acids on the germination time of Penicillium camemberti and Penicillium roquefor…

2017

International audience; In this study, the influence of environmental factors on the germination time of Penicillium camemberti and Penicillium roqueforti conidia was evaluated. To do so, the effects of i/temperature, pH, water activity, and ii/organic acids were determined using models based on i/cardinal values, and ii/minimum inhibitory concentration (MIC) respectively. Cardinal values for germination of conidia were not observed to be species dependent. Minimum temperatures were estimated to be below the freezing point, with an optimum of 26.9 degrees C, and a maximum of 33.5 degrees C. For both species, minimal and optimal a(w) values were found to be 0.83 and 0.99, respectively, while…

0301 basic medicineStarter culturesWater activity030106 microbiologyFungal startersStrainsFood spoilage moldsMicrobial Sensitivity TestsSodium ChlorideMicrobiologyAflatoxin productionFungal growthModels Biological03 medical and health scienceschemistry.chemical_compoundPredictive mycologyCheeseBotany[SDV.IDA]Life Sciences [q-bio]/Food engineeringSpore germinationChrysogenumFood scienceLactic AcidSpore germinationOrganic ChemicalsbiologyMycelium[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringPenicilliumTemperatureWaterPenicillium roquefortiGeneral MedicineHydrogen-Ion ConcentrationSpores Fungalbiology.organism_classificationPropionic acidLactic acidFreezing pointAspergillus-parasiticus030104 developmental biologychemistryGerminationPenicillium camembertiPenicilliumGrowth-rateFood MicrobiologyPropionatesFood ScienceInternational journal of food microbiology
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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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Neurons in the pigeon caudolateral nidopallium differentiate Pavlovian conditioned stimuli but not their associated reward value in a sign-tracking p…

2016

AbstractAnimals exploit visual information to identify objects, form stimulus-reward associations, and prepare appropriate behavioral responses. The nidopallium caudolaterale (NCL), an associative region of the avian endbrain, contains neurons exhibiting prominent response modulation during presentation of reward-predicting visual stimuli, but it is unclear whether neural activity represents valuation signals, stimulus properties, or sensorimotor contingencies. To test the hypothesis that NCL neurons represent stimulus value, we subjected pigeons to a Pavlovian sign-tracking paradigm in which visual cues predicted rewards differing in magnitude (large vs. small) and delay to presentation (s…

0301 basic medicineTelencephalonVisual perceptiongenetic structuresPhotic StimulationReward valueConditioning ClassicalStimulus (physiology)Synaptic TransmissionArticleDiscrimination Learning03 medical and health sciences0302 clinical medicineRewardmedicineReaction TimeAnimalsDiscrimination learningColumbidaeSensory cueNeuronsMultidisciplinaryBehavior AnimalCerebrumElectrophysiological Phenomena030104 developmental biologymedicine.anatomical_structureNidopalliumCuesPsychologyNeuroscience030217 neurology & neurosurgeryPhotic StimulationScientific Reports
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Deep learning models for bacteria taxonomic classification of metagenomic data.

2018

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

0301 basic medicineTime FactorsDBNComputer scienceBiochemistryStructural BiologyRNA Ribosomal 16SDatabases Geneticlcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaShotgun sequencingApplied MathematicsAmpliconClassificationComputer Science Applicationslcsh:R858-859.7DNA microarrayShotgunAlgorithmsCNN030106 microbiologyk-mer representationlcsh:Computer applications to medicine. Medical informaticsDNA sequencing03 medical and health sciencesMetagenomicDeep LearningMolecular BiologyBacteriaModels GeneticPhylumbusiness.industryDeep learningResearchReproducibility of ResultsPattern recognitionBiological classification16S ribosomal RNAbiology.organism_classificationAmpliconHypervariable region030104 developmental biologyTaxonlcsh:Biology (General)MetagenomicsMetagenomeArtificial intelligenceMetagenomicsNeural Networks ComputerbusinessClassifier (UML)BacteriaBMC bioinformatics
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Adult Neurogenesis Is Sustained by Symmetric Self-Renewal and Differentiation

2018

Somatic stem cells have been identified in multiple adult tissues. Whether self-renewal occurs symmetrically or asymmetrically is key to understanding long-term stem cell maintenance and generation of progeny for cell replacement. In the adult mouse brain, neural stem cells (NSCs) (B1 cells) are retained in the walls of the lateral ventricles (ventricular-subventricular zone [V-SVZ]). The mechanism of B1 cell retention into adulthood for lifelong neurogenesis is unknown. Using multiple clonal labeling techniques, we show that the vast majority of B1 cells divide symmetrically. Whereas 20%-30% symmetrically self-renew and can remain in the niche for several months before generating neurons, …

0301 basic medicineTime FactorsNeurogenesis1.1 Normal biological development and functioningCellventricular-subventricular zoneMice TransgenicCell Counttime-lapse imagingSelf renewalBiologyself-renewalRegenerative MedicineMedical and Health SciencesTransgenicMice03 medical and health sciencesLateral ventricleslineage tracingNeural Stem CellsInterneuronsUnderpinning researchGeneticsmedicineAnimalsHumansCell Self RenewalB1 cellsagingdivision modeNeurogenesisNeurosciencesCell DifferentiationCell BiologyBiological SciencesStem Cell ResearchNeural stem cellCell biologysymmetric divisionB-1 cell030104 developmental biologymedicine.anatomical_structureNeurologicalMolecular MedicineStem Cell Research - Nonembryonic - Non-HumanStem cellDevelopmental BiologyAdult stem cell
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A webGIS-based system for real time shelf life prediction

2016

Technologies to acquire and monitor changes in the product shelf life were described.Four different SL predictive models were considered.A simulated transport using a prototype of Smart Logistic Unit was analysed.Real time shelf life prediction system was implemented in a webGIS platform. Shelf-life (SL) prediction and Least Shelf-life First Out (LSFO) stock strategy are important factors in perishable food supply chain in order to reduce quality and economic losses.In particular, distribution represents one of the main critical phases in logistic chain management and only the introduction of monitoring procedure can allow a reduction in food losses. Literature shows several mathematical mo…

0301 basic medicineTruckEngineeringWeb GISMathematical modelOperations researchbusiness.industrySupply chain030106 microbiologyReal-time computingForestry04 agricultural and veterinary sciencesHorticultureCommunications systemShelf life040401 food scienceAutomationComputer Science Applications03 medical and health sciences0404 agricultural biotechnologyAssisted GPSSettore ING-IND/17 - Impianti Industriali MeccaniciGlobal Positioning SystembusinessAgronomy and Crop Science
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Effect of Buthionine Sulfoximine on the Sensitivity to Doxorubicin of Parent and MDR Tumor Cell Lines

1994

We have studied the interaction of glutathione-depleting concentrations of buthionine sulfoximine (BSO) with the anti-proliferative activity of doxorubicin (DXR) in three tumor lines, the mouse B16 melanoma. Friend erythroleukemia and the human K562 leukemia, both as DXR-sensitive and-resistant (with typical multidrug resistance) variants. BSO significantly enhanced the DXR effects in the wild-type Friend and K562 leukemias, and especially in the drug-resistant subline of Friend leukemia. BSO did not modify DXR accumulation and retention in the latter clone. Moreover, neither BSO nor verapamil used alone completely reversed the resistance to DXR of this cell line; their combination was more…

0301 basic medicineVincristineFriend leukemia030106 microbiologyPharmacologyMice03 medical and health scienceschemistry.chemical_compound0302 clinical medicineMethionine Sulfoximinehemic and lymphatic diseasesTumor Cells CulturedmedicineAnimalsHumansPharmacology (medical)DoxorubicinButhionine sulfoximineButhionine SulfoximinePharmacologyChemistryDrug SynergismGlutathionemedicine.diseaseGlutathioneDrug Resistance MultipleMultiple drug resistanceLeukemiaInfectious DiseasesOncologyDoxorubicinVincristine030220 oncology & carcinogenesismedicine.drugK562 cellsJournal of Chemotherapy
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Repurposing old drugs to fight multidrug resistant cancers.

2020

Overcoming multidrug resistance represents a major challenge for cancer treatment. In the search for new chemotherapeutics to treat malignant diseases, drug repurposing gained a tremendous interest during the past years. Repositioning candidates have often emerged through several stages of clinical drug development, and may even be marketed, thus attracting the attention and interest of pharmaceutical companies as well as regulatory agencies. Typically, drug repositioning has been serendipitous, using undesired side effects of small molecule drugs to exploit new disease indications. As bioinformatics gain increasing popularity as an integral component of drug discovery, more rational approa…

0301 basic medicineVirtual screeningCancer ResearchDrug repurposingSettore BIO/11 - Biologia MolecolareAntineoplastic AgentsDrug resistanceBioinformatics03 medical and health sciencesClinical cancer trials; Drug repurposing; Multidrug resistant cancer; Pharmacophore modelling; Virtual screening0302 clinical medicineNeoplasmsDrug DiscoveryMedicineHumansPharmacology (medical)Computer SimulationRepurposingPharmacologyVirtual screeningDrug discoverybusiness.industryDrug RepositioningComputational BiologyDrug Resistance Multiple3. Good healthMultiple drug resistanceDrug repositioning030104 developmental biologyInfectious DiseasesOncologyDrug developmentDrug Resistance Neoplasm030220 oncology & carcinogenesisMultidrug resistant cancerPharmacophore modellingPharmacophorebusinessClinical cancer trialsDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy
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Fractional hereditariness of lipid membranes: Instabilities and linearized evolution

2016

In this work lipid ordering phase changes arising in planar membrane bilayers is investigated both accounting for elas- ticity alone and for effective viscoelastic response of such assemblies. The mechanical response of such membranes is studied by minimizing the Gibbs free energy which penalizes perturbations of the changes of areal stretch and their gradients only [1]. As material instabilities arise whenever areal stretches characterizing homogeneous configurations lie inside the spinoidal zone of the free energy density, bifurcations from such configurations are shown to occur as oscillatory perturbations of the in-plane displacement. Experimental observations [2] show a power-law in-pl…

0301 basic medicineViscoelastic lipid membranePhase transitionMembrane Fluidity0206 medical engineeringLipid BilayersBiomedical EngineeringSeparation of variablesFOS: Physical sciences02 engineering and technologyviscoelastic lipid membranesCondensed Matter - Soft Condensed Matterfractional hereditary lipid membranesViscoelasticityFractional hereditary lipid membraneMaterial instabilitieBiomaterials03 medical and health sciencessymbols.namesakeFractional hereditary lipid membranes; Material instabilities; Phase transitions; Viscoelastic lipid membranes; Biomaterials; Biomedical Engineering; Mechanics of MaterialsVariational principleElasticity (economics)Phase transitionMembranesChemistryOscillationTime evolutionBiomaterial020601 biomedical engineeringElasticityGibbs free energyphase transitions030104 developmental biologyClassical mechanicsModels ChemicalMechanics of MaterialssymbolsSoft Condensed Matter (cond-mat.soft)material instabilitiesSettore ICAR/08 - Scienza Delle Costruzionifractional hereditary lipid membranes viscoelastic lipid membranes phase transitions material instabilities
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