Search results for "DATA"

showing 10 items of 12992 documents

Genetic susceptibility to angiotensin-converting enzyme-inhibitor induced angioedema: A systematic review and evaluation of methodological approaches.

2019

Angiotensin-converting enzyme (ACE) converts angiotensin I to angiotensin II which causes vasoconstriction. ACE inhibitors reduce blood pressure by inhibiting ACE. A well-known adverse drug reaction to ACE inhibitors is ACE inhibitor-induced angioedema (ACEi-AE). Angioedema is a swelling of skin and mucosa, which can be fatal if the airway is compromised. We have performed a systematic review of the evidence suggesting that genetic polymorphisms are associated with ACEi-AE and evaluated the methodological approaches of the included studies. The Cochrane Database of Systematic Reviews, Google Scholar, and PubMed were searched. Studies investigating the association between genetic markers and…

0301 basic medicineCandidate geneHeredityACE inhibitorsGenome-wide association studyAngiotensin-Converting Enzyme InhibitorsBioinformatics030226 pharmacology & pharmacyBiochemistryDatabase and Informatics Methods0302 clinical medicineOutcome Assessment Health CareMedicine and Health SciencesDatabase SearchingMultidisciplinarybiologyQRDrugsEnzyme inhibitorsGenomicsResearch AssessmentGenetic MappingSystematic reviewResearch DesignMedicinemedicine.symptomResearch ArticleSystematic ReviewsScienceResearch and Analysis Methods03 medical and health sciencesAdverse ReactionsGenetic predispositionmedicineGenome-Wide Association StudiesGeneticsHumansGenetic Predisposition to DiseaseAngioedemaPharmacologyEvolutionary BiologyPolymorphism GeneticAngioedemaBiology and life sciencesPopulation Biologybusiness.industryCase-control studyComputational BiologyCorrectionAngiotensin-converting enzymeHuman GeneticsGenome AnalysisAngiotensin II030104 developmental biologyHaplotypesCase-Control Studiesbiology.proteinEnzymologyGenetic PolymorphismbusinessPopulation GeneticsPloS one
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2016

AbstractMulticellular tumor spheroids embedded in a matrix represent invaluable tools to analyze cell invasion. Spheroid sizes and invasiveness are the main observables easily measurable to evaluate effects of biological or pharmaceutical manipulations on invasion. They largely account for these 3-D platforms variability, leading to flaws in data interpretation. No method has been established yet that characterizes this variability and guarantees a reliable use of 3-D platforms. Spheroid initial/end sizes and invasiveness were systematically analyzed and compared in spheroids of U87MG cells generated by three different methods and embedded at different times in a collagen matrix. A normalit…

0301 basic medicineCell invasion03 medical and health sciencesConsistency (database systems)030104 developmental biologyMultidisciplinaryComputer scienceTumor spheroidSpheroidBiological systemSimulationScientific Reports
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OFIP/KIAA0753 forms a complex with OFD1 and FOR20 at pericentriolar satellites and centrosomes and is mutated in one individual with oral-facial-digi…

2016

Item does not contain fulltext Oral-facial-digital (OFD) syndromes are rare heterogeneous disorders characterized by the association of abnormalities of the face, the oral cavity and the extremities, some due to mutations in proteins of the transition zone of the primary cilia or the closely associated distal end of centrioles. These two structures are essential for the formation of functional cilia, and for signaling events during development. We report here causal compound heterozygous mutations of KIAA0753/OFIP in a patient with an OFD VI syndrome. We show that the KIAA0753/OFIP protein, whose sequence is conserved in ciliated species, associates with centrosome/centriole and pericentrio…

0301 basic medicineCentriolecell-cycle progressionGene Expressionmedicine.disease_causeCiliopathieshuman-disease genemolecular characterizationbbs proteinsGenetics (clinical)Conserved SequenceCentriolesGeneticsMutationCiliumCiliary transition zoneMetabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6]General MedicineOrofaciodigital Syndromes3. Good healthcentriolar satellitesmultiple sequence alignmentbasal body dockingFemaleMicrotubule-Associated ProteinsProtein BindingHeterozygoteMolecular Sequence DataBiology03 medical and health sciencesIntraflagellar transportCiliogenesis[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyGeneticsmedicineHumansAmino Acid SequenceCiliaMolecular BiologyCentrosomeintraflagellar transportBase SequenceInfant NewbornProteins030104 developmental biologyCentrosomeMutationciliary transition zoneSequence Alignment[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyciliogenesis
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The Importance of Cerebellar Connectivity on Simulated Brain Dynamics

2020

The brain shows a complex multiscale organization that prevents a direct understanding of how structure, function and dynamics are correlated. To date, advances in neural modeling offer a unique opportunity for simulating global brain dynamics by embedding empirical data on different scales in a mathematical framework. The Virtual Brain (TVB) is an advanced data-driven model allowing to simulate brain dynamics starting from individual subjects' structural and functional connectivity obtained, for example, from magnetic resonance imaging (MRI). The use of TVB has been limited so far to cerebral connectivity but here, for the first time, we have introduced cerebellar nodes and interconnecting…

0301 basic medicineCerebellumEmpirical dataComputer scienceThe Virtual Brainlcsh:RC321-57103 medical and health sciencesFunctional brainCellular and Molecular Neuroscience0302 clinical medicinemultiscale approachbrain dynamicsmedicineFunctional connectomestructural connectivitylcsh:Neurosciences. Biological psychiatry. NeuropsychiatryComputingMilieux_MISCELLANEOUSOriginal ResearchSignal processingFunctional connectivity[SCCO.NEUR]Cognitive science/Neurosciencefunctional connectivity030104 developmental biologyBrain statemedicine.anatomical_structureDynamics (music)Neuroscience030217 neurology & neurosurgeryNeurosciencecerebro-cerebellar loopFrontiers in Cellular Neuroscience
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The Hidden Charm of Life

2019

Synthetic biology is an engineering view on biotechnology, which has revolutionized genetic engineering. The field has seen a constant development of metaphors that tend to highlight the similarities of cells with machines. I argue here that living organisms, particularly bacterial cells, are not machine-like, engineerable entities, but, instead, factory-like complex systems shaped by evolution. A change of the comparative paradigm in synthetic biology from machines to factories, from hardware to software, and from informatics to economy is discussed.

0301 basic medicineCharm (programming language)Computer scienceengineeringComplex system050905 science studiesliving systemGeneral Biochemistry Genetics and Molecular BiologyField (computer science)03 medical and health sciencesSynthetic biologyLiving systemEngineeringlcsh:ScienceEcology Evolution Behavior and SystematicsSynthetic biology05 social sciencesPaleontologyData science030104 developmental biologySpace and Planetary ScienceInformaticsPerspectivelcsh:Qsynthetic biology0509 other social sciencesBiotechnologybiotechnologyLife
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Reanalysis of Chinese Treponema pallidum samples: all Chinese samples cluster with SS14-like group of syphilis-causing treponemes

2018

[Objective]: Treponema pallidum subsp. pallidum (TPA) is the causative agent of syphilis. Genetic analyses of TPA reference strains and human clinical isolates have revealed two genetically distinct groups of syphilis-causing treponemes, called Nichols-like and SS14-like groups. So far, no genetic intermediates, i.e. strains containing a mixed pattern of Nichols-like and SS14-like genomic sequences, have been identifed. Recently, Sun et al. (Oncotarget 2016. https://doi. org/10.18632/oncotarget.10154) described a new “phylogenetic group” (called Lineage 2) among Chinese TPA strains. This lineage exhibited a “mosaic genomic structure” of Nichols-like and SS14-like lineages.

0301 basic medicineChinaLineage (genetic)Sequencing datalcsh:MedicineGenome sequencingPolymorphism Single NucleotideGeneral Biochemistry Genetics and Molecular BiologyDNA sequencing03 medical and health sciencesmedicineHumansTreponema pallidumSyphilislcsh:Science (General)lcsh:QH301-705.5GenePhylogenyGeneticsTreponemaPhylogenetic analysisbiologyPhylogenetic treeintegumentary systemlcsh:RGeneral MedicineSequence Analysis DNAbiology.organism_classificationmedicine.disease3. Good healthSingle nucleotide variantResearch Note030104 developmental biologylcsh:Biology (General)SyphilisMixed patternGenome Bacteriallcsh:Q1-390BMC Research Notes
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LipidMS: An R Package for Lipid Annotation in Untargeted Liquid Chromatography-Data Independent Acquisition-Mass Spectrometry Lipidomics.

2018

High resolution LC-MS untargeted lipidomics using data independent acquisition (DIA) has the potential to increase lipidome coverage, as it enables the continuous and unbiased acquisition of all eluting ions. However, the loss of the link between the precursor and the product ions combined with the high dimensionality of DIA data sets hinder accurate feature annotation. Here, we present LipidMS, an R package aimed to confidently identify lipid species in untargeted LC-DIA-MS. To this end, LipidMS combines a coelution score, which links precursor and fragment ions with fragmentation and intensity rules. Depending on the MS evidence reached by the identification function survey, LipidMS provi…

0301 basic medicineChromatographyChemistry010401 analytical chemistryLipidomeMass spectrometry01 natural sciencesLipids0104 chemical sciencesAnalytical Chemistry03 medical and health sciencesR packageAnnotation030104 developmental biologyNon-alcoholic Fatty Liver DiseaseTandem Mass SpectrometryLipidomicsLipidomicsHumansData-independent acquisitionHigh dimensionalityData dependentBiomarkersDatabases ChemicalChromatography LiquidAnalytical chemistry
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Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters

2017

Quantum Clustering (QC) provides an alternative approach to clustering algorithms, several of which are based on geometric relationships between data points. Instead, QC makes use of quantum mechanics concepts to find structures (clusters) in data sets by finding the minima of a quantum potential. The starting point of QC is a Parzen estimator with a fixed length scale, which significantly affects the final cluster allocation. This dependence on an adjustable parameter is common to other methods. We propose a framework to find suitable values of the length parameter σ by optimising twin measures of cluster separation and consistency for a given cluster number. This is an extension of the Se…

0301 basic medicineClustering high-dimensional dataMathematical optimizationCognitive NeuroscienceSingle-linkage clusteringCorrelation clustering02 engineering and technologyComputer Science ApplicationsHierarchical clusteringDetermining the number of clusters in a data set03 medical and health sciences030104 developmental biologyArtificial Intelligence0202 electrical engineering electronic engineering information engineeringCluster (physics)020201 artificial intelligence & image processingQACluster analysisAlgorithmk-medians clusteringMathematicsNeurocomputing
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High fat diets for weight loss among subjects with elevated fasting glucose levels: The PREDIMED study

2020

Abstract Aim We studied fasting plasma glucose (FPG) as a determinant of weight change on high-fat diets in the PREDIMED trial. Methods A total of 3,622 participants were randomized to receive one of two Mediterranean diets (n = 2,616) or a control diet (n = 1,006) for 5 years and had complete data for baseline FPG and body-weight development. Weight change by pre-treatment FPG categories ( Results The two Mediterranean diets contained 41.5 E% fat, 16.5 E% protein, and 40 E% carbohydrate whereas the control diet contained 37.8 E% fat, 16.8 E% protein and 43.2 E% carbohydrate. In the Mediterranean diet groups, participants with FPG≥115 lost 1.04 kg (95% CI 0.68; 1.41, n = 1115) whereas parti…

0301 basic medicineComplete data030109 nutrition & dieteticsendocrine system diseasesMediterranean dietbusiness.industryEndocrinology Diabetes and MetabolismWeight changePublic Health Environmental and Occupational Healthnutritional and metabolic diseases030209 endocrinology & metabolismHigh fat dietCarbohydratePredimedFasting glucose03 medical and health sciences0302 clinical medicineAnimal scienceWeight lossInternal Medicinemedicinemedicine.symptombusinessObesity Medicine
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Efficient Algorithms for Sequence Analysis with Entropic Profiles

2017

Entropy, being closely related to repetitiveness and compressibility, is a widely used information-related measure to assess the degree of predictability of a sequence. Entropic profiles are based on information theory principles, and can be used to study the under-/over-representation of subwords, by also providing information about the scale of conserved DNA regions. Here, we focus on the algorithmic aspects related to entropic profiles. In particular, we propose linear time algorithms for their computation that rely on suffix-based data structures, more specifically on the truncated suffix tree (TST) and on the enhanced suffix array (ESA). We performed an extensive experimental campaign …

0301 basic medicineCompressed suffix arrayTheoretical computer scienceEntropySuffix tree0206 medical engineeringGeneralized suffix tree02 engineering and technologyString searching algorithmInformation theorylaw.invention03 medical and health scienceslawGeneticsAnimalsHumansMathematicsApplied MathematicsSuffix arrayComputational BiologyDNASequence Analysis DNAData structure030104 developmental biologySuffixAlignment free Entropy Sequence analysis Sequence comparisonAlgorithms020602 bioinformaticsBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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