Search results for "Data"

showing 10 items of 12992 documents

The ascidian Styela plicata hemocytes as a potential biomarker of marine pollution: In vitro effects of seawater and organic mercury.

2017

Toxic metals, such as mercury, contribute substantially to anthropogenic pollution in many estuarine environments. Animals living in those environments, particularly invertebrate filter feeders like tunicates, can be used as bioindicators. In an attempt to identify cellular markers for revealing pollution, this study examined in vitro the effects of different concentrations of methyl mercury on Styela plicata hemocytes. The harvested hemocytes from S. plicata that were exposed to the metal had a significant mortality, cellular count and morphometric alterations. These findings provided evidence of MeHg immunotoxic effects on S. plicata, resulting in hemocyte death and morphological changes …

0301 basic medicinePollutionHemocytesAscidianHealth Toxicology and Mutagenesismedia_common.quotation_subjectAscidian; Hemocytes; Mercury; Pollution; SEM; Seawater; Toxic metals; TunicateZoologychemistry.chemical_elementHemocyteToxic metal010501 environmental sciencesTunicate01 natural sciencesMarine pollution03 medical and health scienceschemistry.chemical_compoundAnimalsSeawaterUrochordataMethylmercury0105 earth and related environmental sciencesmedia_commonInvertebratebiologyEcologyImmunotoxinsPublic Health Environmental and Occupational HealthGeneral MedicineMercuryMethylmercury Compoundsbiology.organism_classificationPollutionTunicateMercury (element)030104 developmental biologyStyela plicatachemistrySEMMicroscopy Electron ScanningBioindicatorBiomarkersEcotoxicology and environmental safety
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Evolutionary insight on localization of 18S, 28S rDNA genes on homologous chromosomes in Primates genomes

2018

Abstract We explored the topology of 18S and 28S rDNA units by fluorescence in situ hybridization (FISH) in the karyotypes of thirteen species representatives from major groups of Primates and Tupaia minor (Günther, 1876) (Scandentia), in order to expand our knowledge of Primate genome reshuffling and to identify the possible dispersion mechanisms of rDNA sequences. We documented that rDNA probe signals were identified on one to six pairs of chromosomes, both acrocentric and metacentric ones. In addition, we examined the potential homology of chromosomes bearing rDNA genes across different species and in a wide phylogenetic perspective, based on the DAPI-inverted pattern and their synteny t…

0301 basic medicinePrimateslcsh:QH426-470Plant ScienceRepetitive DNABiologySettore BIO/08 - AntropologiasynapomorphyGenomeHomology (biology)03 medical and health sciencesmedicineGeneticsAnimaliaChordataRibosomal DNASyntenyPhylogenetic treemedicine.diagnostic_testPrimateFluorescence in situ hybridizationKaryotypeScandentialcsh:Genetics030104 developmental biologyEvolutionary biologyMammaliaAnimal Science and Zoologyrepetitive DNAstree shrewFluorescence in situ hybridizationBiotechnologyResearch ArticleComparative Cytogenetics
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Food Processing at a Crossroad

2019

Recently, processed foods received negative images among consumers and experts regarding food-health imbalance. This stresses the importance of the food processing—nutrition interface and its relevance within the diet-health debates. In this review, we approach the related questions in a 3-fold way. Pointing out the distinguished role food processing has played in the development of the human condition and during its 1.7 million year old history, we show the function of food processing for the general design principles of food products. Secondly, a detailed analysis of consumer related design principles and processing reveals questions remaining from the historical transformation from basic…

0301 basic medicineProcess (engineering)Computer scienceEmerging technologiesEndocrinology Diabetes and Metabolismmedia_common.quotation_subjectlcsh:TX341-641030209 endocrinology & metabolismFood technologyReviewnutrient profiling03 medical and health sciences0302 clinical medicinefood processingultra-processed foodsFunction (engineering)NutritionGrand Challengesmedia_commonfood process-structure-function relationship030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industrydigestive oral and skin physiologyData sciencePAN principlesemerging technologiesfood system changesParadigm shiftFood processingFood systemsbusinesslcsh:Nutrition. Foods and food supplyFood ScienceFrontiers in Nutrition
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Automatic sleep scoring: A deep learning architecture for multi-modality time series

2020

Background: Sleep scoring is an essential but time-consuming process, and therefore automatic sleep scoring is crucial and urgent to help address the growing unmet needs for sleep research. This paper aims to develop a versatile deep-learning architecture to automate sleep scoring using raw polysomnography recordings. Method: The model adopts a linear function to address different numbers of inputs, thereby extending model applications. Two-dimensional convolution neural networks are used to learn features from multi-modality polysomnographic signals, a “squeeze and excitation” block to recalibrate channel-wise features, together with a long short-term memory module to exploit long-range co…

0301 basic medicineProcess (engineering)Computer sciencePolysomnographyPolysomnographyMachine learningcomputer.software_genreuni (lepotila)03 medical and health sciencesDeep Learning0302 clinical medicinepolysomnographymedicineHumansBlock (data storage)Sleep Stagesmedicine.diagnostic_testArtificial neural networksignaalinkäsittelybusiness.industryunitutkimusGeneral NeuroscienceDeep learningdeep learningsignaalianalyysiElectroencephalographyautomatic sleep scoringmulti-modality analysiskoneoppiminen030104 developmental biologyMemory moduleSleep StagesArtificial intelligenceSleepTransfer of learningbusinesscomputer030217 neurology & neurosurgeryJournal of Neuroscience Methods
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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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Data concerning the proteolytic resistance and oxidative stress in LAN5 cells after treatment with BSA hydrogels

2016

AbstractProteolytic resistance is a relevant aspect to be tested in the formulation of new nanoscale biomaterials. The action of proteolytic enzymes is a very fast process occurring in the range of few minutes. Here, we report data concerning the proteolytic resistance of a heat-set BSA hydrogel obtained after 20-hour incubation at 60°C prepared at the pH value of 3.9, pH at which the hydrogel presents the highest elastic character with respect to gel formed at pH 5.9 and 7.4 “Heat-and pH-induced BSA conformational changes, hydrogel formation and application as 3D cell scaffold” (G. Navarra, C. Peres, M. Contardi, P. Picone, P.L. San Biagio, M. Di Carlo, D. Giacomazza, V. Militello, 2016) […

0301 basic medicineProgrammed cell death?-aggregateschemistry.chemical_element02 engineering and technologyZinclcsh:Computer applications to medicine. Medical informaticsmedicine.disease_cause03 medical and health sciencesβ-aggregatemedicineCell-scaffoldlcsh:Science (General)Data Articlechemistry.chemical_classificationMultidisciplinarybiologyProteolytic enzymesOxidative StreHydrogels021001 nanoscience & nanotechnologyProteinase KCell-scaffolHydrogelβ-aggregatesOxidative Stress030104 developmental biologyEnzymechemistryBiochemistryDrug deliverySelf-healing hydrogelsDrug deliverybiology.proteinlcsh:R858-859.70210 nano-technologyProteolytic resistanceOxidative stresslcsh:Q1-390Data in Brief
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Permeating disciplines: Overcoming barriers between molecular simulations and classical structure-function approaches in biological ion transport

2017

Ion translocation across biological barriers is a fundamental requirement for life. In many cases, controlling this process-for example with neuroactive drugs-demands an understanding of rapid and reversible structural changes in membrane-embedded proteins, including ion channels and transporters. Classical approaches to electrophysiology and structural biology have provided valuable insights into several such proteins over macroscopic, often discontinuous scales of space and time. Integrating these observations into meaningful mechanistic models now relies increasingly on computational methods, particularly molecular dynamics simulations, while surfacing important challenges in data manage…

0301 basic medicineProtein ConformationComputer sciencemedia_common.quotation_subjectData managementBiophysicsContext (language use)Molecular Dynamics SimulationBiochemistryIon ChannelsArticleStructure-Activity Relationship03 medical and health sciencesAnimalsHumansFunction (engineering)Biological sciencesClassical structureIon transportermedia_commonIon Transportbusiness.industryMembrane Transport ProteinsCell BiologyData science030104 developmental biologyStructural biologybusinessIon Channel GatingProtein BindingBiochimica et Biophysica Acta (BBA) - Biomembranes
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Evaluating the stability of pharmacophore features using molecular dynamics simulations.

2016

Abstract Molecular dynamics simulations of twelve protein—ligand systems were used to derive a single, structure based pharmacophore model for each system. These merged models combine the information from the initial experimental structure and from all snapshots saved during the simulation. We compared the merged pharmacophore models with the corresponding PDB pharmacophore models, i.e., the static models generated from an experimental structure in the usual manner. The frequency of individual features, of feature types and the occurrence of features not present in the static model derived from the experimental structure were analyzed. We observed both pharmacophore features not visible in …

0301 basic medicineProtein FlexibilityProtein ConformationBiophysicsStability (learning theory)Molecular Dynamics SimulationLigands01 natural sciencesBiochemistryLigandScoutSet (abstract data type)03 medical and health sciencesMolecular dynamicsComputational chemistryFeature (machine learning)Pharmacophore ModelingSensitivity (control systems)Molecular BiologyBinding Sites010405 organic chemistryChemistryStructure-based Pharmacophore ModelingMolecular DynamicProteinsHydrogen BondingCell Biology0104 chemical sciences030104 developmental biologyRankingModels ChemicalDrug DesignPharmacophoreBiological systemProtein BindingBiochemical and biophysical research communications
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FastaHerder2: Four Ways to Research Protein Function and Evolution with Clustering and Clustered Databases.

2016

The accelerated growth of protein databases offers great possibilities for the study of protein function using sequence similarity and conservation. However, the huge number of sequences deposited in these databases requires new ways of analyzing and organizing the data. It is necessary to group the many very similar sequences, creating clusters with automated derived annotations useful to understand their function, evolution, and level of experimental evidence. We developed an algorithm called FastaHerder2, which can cluster any protein database, putting together very similar protein sequences based on near-full-length similarity and/or high threshold of sequence identity. We compressed 50…

0301 basic medicineProtein structure databaseProteomicsProteomeSequence analysisComputer sciencecomputer.software_genreSensitivity and SpecificitySet (abstract data type)Evolution Molecular03 medical and health sciences0302 clinical medicineSimilarity (network science)Sequence Analysis ProteinGeneticsCluster (physics)AnimalsCluster AnalysisHumansCluster analysisDatabases ProteinMolecular BiologySequenceDatabaseFunction (mathematics)Computational Mathematics030104 developmental biologyComputational Theory and MathematicsModeling and SimulationData miningcomputer030217 neurology & neurosurgerySoftwareJournal of computational biology : a journal of computational molecular cell biology
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Automated selection of homologs to track the evolutionary history of proteins

2018

Background The selection of distant homologs of a query protein under study is a usual and useful application of protein sequence databases. Such sets of homologs are often applied to investigate the function of a protein and the degree to which experimental results can be transferred from one organism to another. In particular, a variety of databases facilitates static browsing for orthologs. However, these resources have a limited power when identifying orthologs between taxonomically distant species. In addition, in some situations, for a given query protein, it is advantageous to compare the sets of orthologs from different specific organisms: this recursive step-wise search might give …

0301 basic medicineProteomeComputer scienceComputational biologyWeb toollcsh:Computer applications to medicine. Medical informaticsBiochemistryHomology (biology)Evolution Molecular03 medical and health sciences0302 clinical medicineProtein sequencingStructural BiologyHomologous chromosomeHumansDatabases ProteinMolecular Biologylcsh:QH301-705.5OrganismProtein functionMethodology ArticleApplied MathematicsProteinsA proteinComputer Science ApplicationsHomologyEvolutionary path030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONlcsh:Biology (General)Proteomelcsh:R858-859.7DNA microarraySoftware030217 neurology & neurosurgeryBMC Bioinformatics
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