Search results for " Computer Science"

showing 10 items of 3983 documents

Biological Effect of a Hybrid Anticancer Agent Based on Kinase and Histone Deacetylase Inhibitors on Triple-Negative (MDA-MB231) Breast Cancer Cells

2016

We examined the effects of the histone deacetylase inhibitor (HDACi) suberoylanilide\ud hydroxamic acid (SAHA) combined with the vascular endothelial growth factor receptor-1/2 inhibitor\ud (3Z)-5-hydroxy-3-(1H-pyrrol-2-ylmethylidene)-2,3-dihydro-1H-indol-2-one on MDA-MB-231 breast\ud cancer cells (triple-negative) in the form of both a cocktail of the separate compounds and a chemically\ud synthesized hybrid (N-hydroxy-N'-[(3Z)-2-oxo-3-(1H-pyrrol-2-ylmethylidene)-2,3-dihydro-1H-indol-\ud 5-yl]octanediamide). Comparative flow cytometric and Western blot analyses were performed on\ud cocktail- and hybrid-treated cells to evaluate cell cycle distribution, autophagy/apoptosis modulation,\ud an…

0301 basic medicineVascular Endothelial Growth Factor AIndolesCytotoxicityTriple Negative Breast Neoplasmsbreast cancer; MDA-MB231 cells; histone deacetylase inhibitor; vascular endothelial growth factor receptor-2 inhibitor; cytotoxicity; cell cycle; apoptosis; autophagy; mitochondrial metabolismHydroxamic AcidsCatalysi0302 clinical medicineBreast cancerTumor Cells CulturedCytotoxic T cellSettore BIO/06 - Anatomia Comparata E CitologiaSpectroscopyVorinostatVascular endothelial growth factor receptor-2 inhibitorApoptosis; Autophagy; Breast cancer; Cell cycle; Cytotoxicity; Histone deacetylase inhibitor; MDA-MB231 cells; Mitochondrial metabolism; Vascular endothelial growth factor receptor-2 inhibitor; Catalysis; Molecular Biology; Spectroscopy; Computer Science Applications1707 Computer Vision and Pattern Recognition; Physical and Theoretical Chemistry; Organic Chemistry; Inorganic ChemistryKinaseHistone deacetylase inhibitorapoptosisComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineCell cycleFlow CytometryComputer Science ApplicationsCell biologyMDA-MB231 cell030220 oncology & carcinogenesisFemaleQD0241Programmed cell deathmedicine.drug_classCell SurvivalBlotting WesternAntineoplastic AgentsBiologyCell cycleCatalysisArticleInorganic Chemistry03 medical and health sciencesmedicineAutophagyHumansPhysical and Theoretical ChemistryProtein Kinase InhibitorsMolecular BiologyQD0415Histone deacetylase inhibitorAutophagyOrganic ChemistryApoptosiHistone Deacetylase Inhibitors030104 developmental biologyApoptosisMitochondrial metabolismMDA-MB231 cellsHistone deacetylaseInternational Journal of Molecular Sciences; Volume 17; Issue 8; Pages: 1235
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Curve Extraction by Geodesics Fusion: Application to Polymer Reptation Analysis

2016

© Springer International Publishing Switzerland 2016. In the molecular field, researchers analyze dynamics of polymers by microscopy: several measurements such as length and curvature are performed in their studies. To achieve correct analysis they need to extract the curve representing as good as possible the observed polymer shape which is a grayscale thick curve with noise and blur. We propose, in this paper, a method to extract such a curve. A polymer chain moves in a snake-like fashion (Reptation): it can self-intersect and form several complex geometries. To efficiently extract the different geometries, we generate the curve by computing a piecewise centerline browsing the shape by ge…

0301 basic medicine[ INFO ] Computer Science [cs]GeodesicGeometry02 engineering and technologyCurvature03 medical and health sciencesGraph traversalMolecular image analysis[INFO]Computer Science [cs]Grayscale curvesMorphological operationsdistanceMathematicsMicroscopyCurve orientationMathematical analysis021001 nanoscience & nanotechnologyReptation030104 developmental biologyGeodesics fusionPiecewiseShape extractionCurve sketching0210 nano-technologyShape analysis (digital geometry)
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An Integrative Framework for the Construction of Big Functional Networks

2018

We present a methodology for biological data integration, aiming at building and analysing large functional networks which model complex genotype-phenotype associations. A functional network is a graph where nodes represent cellular components (e.g., genes, proteins, mRNA, etc.) and edges represent associations among such molecules. Different types of components may cohesist in the same network, and associations may be related to physical[biochemical interactions or functional/phenotipic relationships. Due to both the large amount of involved information and the computational complexity typical of the problems in this domain, the proposed framework is based on big data technologies (Spark a…

0301 basic medicinebiological networkBiological dataTheoretical computer scienceSettore INF/01 - InformaticaComputational complexity theoryComputer sciencebusiness.industryBig dataNoSQLcomputer.software_genreFunctional networks03 medical and health sciences030104 developmental biologyGraph (abstract data type)big data technologiesbig data technologiebusinesscomputerIntegrative approacheBiological network2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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A Basic Architecture of an Autonomous Adaptive System With Conscious-Like Function for a Humanoid Robot.

2018

In developing a humanoid robot, there are two major objectives. One is developing a physical robot having body, hands, and feet resembling those of human beings and being able to similarly control them. The other is to develop a control system that works similarly to our brain, to feel, think, act, and learn like ours. In this article, an architecture of a control system with a brain-oriented logical structure for the second objective is proposed. The proposed system autonomously adapts to the environment and implements a clearly defined “consciousness” function, through which both habitual behavior and goal-directed behavior are realized. Consciousness is regarded as a function for effecti…

0301 basic medicinebrain-oriented systemComputer sciencelcsh:Mechanical engineering and machinerymedia_common.quotation_subjectlcsh:QA75.5-76.9503 medical and health sciences0302 clinical medicineArtificial IntelligenceAdaptive systemHypothesis and Theorylcsh:TJ1-1570Binding problemAdaptation (computer science)Function (engineering)goal-directed behaviorLibet’s experimentmedia_commonRobotics and AIautonomous adaptationhabitual behaviorArtificial neural networkbusiness.industryComputer Science Applicationsimage processing030104 developmental biologybinding problemRobotlcsh:Electronic computers. Computer scienceArtificial intelligencemodel of consciousnessConsciousnessbusiness030217 neurology & neurosurgeryHumanoid robotFrontiers in robotics and AI
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The janus face of NKT cell function in autoimmunity and infectious diseases

2018

Natural killer T cells (NKT) are a subset of T lymphocytes bridging innate and adaptive immunity. These cells recognize self and microbial glycolipids bound to non-polymorphic and highly conserved CD1d molecules. Three NKT cell subsets, type I, II and NKT-like expressing different antigen receptors (TCR) were described and TCR activation promotes intracellular events leading to specific functional activities. NKT can exhibit different functions depending on the secretion of soluble molecules and the interaction with other cell types. NKT cells act as regulatory cells in the defence against infections but, on the other hand, their effector functions can be involved in the pathogenesis of sev…

0301 basic medicineglycolipidsAutoimmunityReviewAdaptive Immunitymedicine.disease_causeAutoimmunityCatalysiimmunologylcsh:Chemistry0302 clinical medicineT-Lymphocyte Subsetslcsh:QH301-705.5SpectroscopyInnate lymphoid cellhemic and immune systemsComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineNKTNatural killer T cellAcquired immune systemComputer Science ApplicationsCell biologyCD1DmicrobesCell typechemical and pharmacologic phenomenaGlycolipidBiologyCD1dCommunicable DiseasesCatalysisInorganic Chemistry03 medical and health sciencesmedicineAnimalsHumansMicrobePhysical and Theoretical ChemistryMolecular BiologyInflammationT-cell receptorOrganic ChemistryModels ImmunologicalAlpha-galactosylceramideAlpha-galactosylceramide; Autoimmunity; CD1d; Glycolipids; Microbes; NKT; Sulfatide; Catalysis; Molecular Biology; Spectroscopy; Computer Science Applications1707 Computer Vision and Pattern Recognition; Physical and Theoretical Chemistry; Organic Chemistry; Inorganic ChemistryImmunity InnateSettore MED/16 - Reumatologia030104 developmental biologylcsh:Biology (General)lcsh:QD1-999biology.proteinNatural Killer T-CellsSulfatideCD8030215 immunology
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How to deal with Haplotype data: An Extension to the Conceptual Schema of the Human Genome

2016

[EN] The goal of this work is to describe the advantages of the application of Conceptual Modeling (CM) in complex domains, such as genomics. Nowadays, the study and comprehension of the human genome is a major challenge due to its high level of complexity. The constant evolution in the genomic domain contributes to the generation of ever larger amounts of new data, which means that if we do not manage it correctly data quality could be compromised (i.e., problems related with heterogeneity and inconsistent data). In this paper, we propose the use of a Conceptual Schema of the Human Genome (CSHG), designed to understand and improve our ontological commitment to the domain and also extend (e…

0301 basic medicinehaplotypesGeISHigher education0206 medical engineeringconceptual modelingLibrary science02 engineering and technologystatistical modelscomputer.software_genreGenomelcsh:QA75.5-76.95Conceptual schema03 medical and health sciencesExtension (metaphysics)Sociologybusiness.industryHaplotypeGeneral MedicineConceptual modelingStatistical models030104 developmental biologyHaplotypesGenetic diagnosisChristian ministryHuman genomelcsh:Electronic computers. Computer scienceData miningbusinessGenetic diagnosiscomputer020602 bioinformaticsgenetic diagnosis.
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WES/WGS Reporting of Mutations from Cardiovascular "Actionable" Genes in Clinical Practice: A Key Role for UMD Knowledgebases in the Era of Big Datab…

2016

International audience; High-throughput next-generation sequencing such as whole-exome and whole-genome sequencing are being rapidly integrated into clinical practice. The use of these techniques leads to the identification of secondary variants for which decisions about the reporting or not to the patient need to be made. The American College of Medical Genetics and Genomics recently published recommendations for the reporting of these variants in clinical practice for 56 "actionable" genes. Among these, seven are involved in Marfan Syndrome And Related Disorders (MSARD) resulting from mutations of the FBN1, TGFBR1 and 2, ACTA2, SMAD3, MYH11 and MYLK genes. Here, we show that mutations col…

0301 basic medicinemedicine.medical_specialtyKnowledge BasesGenomicsmarfan-syndrome[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics030105 genetics & heredityBiologycomputer.software_genreGenomeExAC03 medical and health sciencesAnnotationincidental findingsGeneticsmedicineHumanspathogenicityGenetic Predisposition to Diseasetgfbr2ExomegenomeESPGenetics (clinical)Exome sequencing[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]variantsDatabasethoracic aortic-aneurysmsGenome HumanHigh-Throughput Nucleotide SequencingMYLKGenomicspredictionmutations3. Good healthMarfan syndrome030104 developmental biologydissection[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsCardiovascular DiseasesMutationMedical geneticsIdentification (biology)LSDB[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]computerexome
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DNA combinatorial messages and Epigenomics: The case of chromatin organization and nucleosome occupancy in eukaryotic genomes

2019

Abstract Epigenomics is the study of modifications on the genetic material of a cell that do not depend on changes in the DNA sequence, since those latter involve specific proteins around which DNA wraps. The end result is that Epigenomic changes have a fundamental role in the proper working of each cell in Eukaryotic organisms. A particularly important part of Epigenomics concentrates on the study of chromatin, that is, a fiber composed of a DNA-protein complex and very characterizing of Eukaryotes. Understanding how chromatin is assembled and how it changes is fundamental for Biology. In more than thirty years of research in this area, Mathematics and Theoretical Computer Science have gai…

0303 health sciencesSettore INF/01 - InformaticaGeneral Computer ScienceFiber (mathematics)0102 computer and information sciencesComputational biology01 natural sciencesNucleosome occupancyGenomeDNA sequencingTheoretical Computer ScienceChromatinComputational biology03 medical and health scienceschemistry.chemical_compoundchemistry010201 computation theory & mathematicsComputer ScienceAlgorithms and complexityFormal languageA fibersDNACombinatorics on word030304 developmental biologyEpigenomicsTheoretical Computer Science
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Betweenness Centrality for Networks with Non-Overlapping Community Structure

2018

Evaluating the centrality of nodes in complex networks is one of the major research topics being explored due to its wide range of applications. Among the various measures that have been developed over the years, Betweenness centrality is one of the most popular. Indeed, it has proved to be efficient in many real-world situations. In this paper, we propose an extension of the Betweenness centrality designed for networks with nonoverlapping community structure. It is a linear combination of the so-called “local” and “global” Betweenness measures. The Local measure takes into account the influence of a node at the community level while the global measure depends only on the interactions betwe…

0303 health sciencesTheoretical computer scienceComputer scienceNode (networking)Community structure[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Scale (descriptive set theory)Complex network01 natural sciencesMeasure (mathematics)010305 fluids & plasmas03 medical and health sciencesBetweenness centrality0103 physical sciencesCentralityLinear combinationComputingMilieux_MISCELLANEOUS030304 developmental biology
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2020

Hierarchy and centrality are two popular notions used to characterize the importance of entities in complex systems. Indeed, many complex systems exhibit a natural hierarchical structure, and centrality is a fundamental characteristic allowing to identify key constituents. Several measures based on various aspects of network topology have been proposed in order to quantify these concepts. While numerous studies have investigated whether centrality measures convey redundant information, how centrality and hierarchy measures are related is still an open issue. In this paper, we investigate the association between centrality and hierarchy using several correlation and similarity evaluation mea…

0303 health sciencesTransitive relationTheoretical computer scienceGeneral Computer ScienceComputer scienceGeneral EngineeringComplex system02 engineering and technologyComplex networkNetwork topologyNetwork density03 medical and health sciences020204 information systems0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceCentrality030304 developmental biologyIEEE Access
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