Search results for "Computer Science"

showing 10 items of 22367 documents

A multicentric study to evaluate the use of relative retention times in targeted proteomics.

2016

Despite the maturity reached by targeted proteomic strategies, reliable and standardized protocols are urgently needed to enhance reproducibility among different laboratories and analytical platforms, facilitating a more widespread use in biomedical research. To achieve this goal, the use of dimensionless relative retention times (iRT), defined on the basis of peptide standard retention times (RT), has lately emerged as a powerful tool. The robustness, reproducibility and utility of this strategy were examined for the first time in a multicentric setting, involving 28 laboratories that included 24 of the Spanish network of proteomics laboratories (ProteoRed-ISCIII). According to the results…

0301 basic medicineMultiple reaction monitoringProteomicsBiomedical ResearchComputer scienceBiophysicsLiquid chromatographyContext (language use)BioinformaticsBiochemistry03 medical and health sciencesInter-laboratory validationTargeted proteomicsObserver VariationReproducibilityResearchReproducibility of ResultsAnalytical scienceReference StandardsStandardizationReproducibilityCell and molecular biologyTargeted proteomics030104 developmental biologyBiological significanceBiochemical engineeringRetention timeChromatography LiquidJournal of proteomics
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Simple Muscle Architecture Analysis (SMA): An ImageJ macro tool to automate measurements in B-mode ultrasound scans

2020

In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are performed manually, and more reliable and time-efficient automated methods are either lacking completely, or are inaccessible to those without expertise in image analysis. In this work, we propose an ImageJ script to automate the entire analysis process of muscle architecture in ultrasound images: Simple Muscle Architecture Analysis (SMA). Images are filtered in the spatial and frequency domains with built-in commands and external plugins to hi…

0301 basic medicineMuscle PhysiologyMuscle FunctionsPhysiologyComputer sciencelihaksetDiagnostic RadiologyComputer ArchitectureWorkflowtukikudoksetultrasound imaging0302 clinical medicineSoftwareUltrasound ImagingMedicine and Health SciencesImage Processing Computer-AssistedComputer visionMacroTissues and Organs (q-bio.TO)Musculoskeletal Systemconnective tissueUltrasonographyMultidisciplinaryOrientation (computer vision)Radiology and ImagingMusclesQImage and Video Processing (eess.IV)Gastrocnemius MusclesUltrasoundRultraääniMuscle AnalysisFascicleSMA*Bioassays and Physiological Analysismedicine.anatomical_structureConnective TissueMedicinemuscle analysisAnatomyResearch ArticleComputer and Information SciencesImaging TechniquesScienceFOS: Physical sciencesConnective tissueImage processingmuscle functionsImage Analysisgastrocnemius musclesResearch and Analysis Methods03 medical and health sciencesimage analysisDiagnostic MedicineImage Interpretation Computer-AssistedFOS: Electrical engineering electronic engineering information engineeringmedicineHumanskaksoiskantalihascomputer architectureRM695_Physicalbusiness.industryBiology and Life SciencesQuantitative Biology - Tissues and Organs030229 sport sciencesElectrical Engineering and Systems Science - Image and Video ProcessingPhysics - Medical PhysicsQPimaging techniquesBiological Tissue030104 developmental biologykuva-analyysiFOS: Biological sciencesMedical Physics (physics.med-ph)Artificial intelligenceMuscle architecturebusinessSoftware
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Approaching Sex Differences in Cardiovascular Non-Coding RNA Research

2020

International audience; Cardiovascular disease (CVD) is the biggest cause of sickness and mortality worldwide in both males and females. Clinical statistics demonstrate clear sex differences in risk, prevalence, mortality rates, and response to treatment for different entities of CVD. The reason for this remains poorly understood. Non-coding RNAs (ncRNAs) are emerging as key mediators and biomarkers of CVD. Similarly, current knowledge on differential regulation, expression, and pathology-associated function of ncRNAs between sexes is minimal. Here, we provide a state-of-the-art overview of what is known on sex differences in ncRNA research in CVD as well as discussing the contributing biol…

0301 basic medicineNcRNAER-BETARNA Untranslatedexperimental modelsreceptorsReviewDisease030204 cardiovascular system & hematologyBioinformaticsCardiovascular Systemlcsh:Chemistry0302 clinical medicineSex hormone-binding globulinlncRNAestrogenMedicinePROMOTER METHYLATIONlcsh:QH301-705.5DNA METHYLATIONSpectroscopyGENE-EXPRESSIONSex CharacteristicsbiologyMortality rateGeneral MedicineMOUSE MODELNon-coding RNA[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system3. Good healthComputer Science ApplicationsHEART-FAILUREESTROGEN-RECEPTOR-ALPHAandrogenvascular cells.vascular cellsCatalysisMICRORNA THERAPEUTICSInorganic Chemistry03 medical and health sciences[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemmicroRNAAnimalsHumansEpigeneticsPhysical and Theoretical ChemistryX-INACTIVATIONMolecular BiologySocioeconomic statusmiRNAbusiness.industryOrganic ChemistryPOSTMENOPAUSAL HORMONE-THERAPYcardiovascular diseasesSexual dimorphism030104 developmental biologylcsh:Biology (General)lcsh:QD1-999biology.proteinbusinessBiomarkersInternational journal of molecular sciences
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Alignment Free Dissimilarities for Nucleosome Classification

2016

Epigenetic mechanisms such as nucleosome positioning, histone modifications and DNA methylation play an important role in the regulation of cell type-specific gene activities, yet how epigenetic patterns are established and maintained remains poorly understood. Recent studies have shown a role of DNA sequences in recruitment of epigenetic regulators. For this reason, the use of more suitable similarities or dissimilarity between DNA sequences could help in the context of epigenetic studies. In particular, alignment-free dissimilarities have already been successfully applied to identify distinct sequence features that are associated with epigenetic patterns and to predict epigenomic profiles…

0301 basic medicineNearest neighbour classifiersKnn classifierSettore INF/01 - Informatica030102 biochemistry & molecular biologybiologyComputer scienceSpeech recognitionEpigeneticContext (language use)Computational biologyL-tuples03 medical and health sciences030104 developmental biologyHistoneSimilarity (network science)DNA methylationbiology.proteinNucleosomeEpigeneticsAlignment free DNA sequence dissimilaritiesk-mersNucleosome classificationEpigenomics
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A clustering package for nucleotide sequences using Laplacian Eigenmaps and Gaussian Mixture Model.

2018

International audience; In this article, a new Python package for nucleotide sequences clustering is proposed. This package, freely available on-line, implements a Laplacian eigenmap embedding and a Gaussian Mixture Model for DNA clustering. It takes nucleotide sequences as input, and produces the optimal number of clusters along with a relevant visualization. Despite the fact that we did not optimise the computational speed, our method still performs reasonably well in practice. Our focus was mainly on data analytics and accuracy and as a result, our approach outperforms the state of the art, even in the case of divergent sequences. Furthermore, an a priori knowledge on the number of clust…

0301 basic medicineNematoda01 natural sciencesGaussian Mixture Model[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]ComputingMilieux_MISCELLANEOUScomputer.programming_language[STAT.AP]Statistics [stat]/Applications [stat.AP]Phylogenetic treeDNA ClusteringGenomicsHelminth ProteinsComputer Science Applications[STAT]Statistics [stat]010201 computation theory & mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Data analysisEmbeddingA priori and a posteriori[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Health Informatics0102 computer and information sciences[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Biology[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Laplacian EigenmapsAnimalsCluster analysis[SDV.GEN]Life Sciences [q-bio]/GeneticsModels Geneticbusiness.industryPattern recognitionNADH DehydrogenaseSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationVisualization030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONPlatyhelminths[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Programming LanguagesArtificial intelligence[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businesscomputerComputers in biology and medicine
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Cell-to-Cell Communication in Learning and Memory: From Neuro- and Glio-Transmission to Information Exchange Mediated by Extracellular Vesicles

2019

Most aspects of nervous system development and function rely on the continuous crosstalk between neurons and the variegated universe of non-neuronal cells surrounding them. The most extraordinary property of this cellular community is its ability to undergo adaptive modifications in response to environmental cues originating from inside or outside the body. Such ability, known as neuronal plasticity, allows long-lasting modifications of the strength, composition and efficacy of the connections between neurons, which constitutes the biochemical base for learning and memory. Nerve cells communicate with each other through both wiring (synaptic) and volume transmission of signals. It is by now…

0301 basic medicineNervous systemCell CommunicationReviewSynaptic Transmissiontetrapartite synapseRegulatory moleculesmemorylcsh:Chemistry0302 clinical medicineCell to cell communicationSettore BIO/10 - BiochimicaSettore BIO/06 - Anatomia Comparata E Citologialcsh:QH301-705.5SpectroscopyNeuronsDrug CarriersNeuronal PlasticitylearningBrainGeneral Medicineglial cellsComputer Science ApplicationsCrosstalk (biology)medicine.anatomical_structureNerve cellsextracellular vesiclesNeurogliavolume transmissionBiologytripartite synapsisExtracellular vesiclesCatalysisInorganic Chemistry03 medical and health sciencesNeuroplasticitymedicineAnimalsHumansPhysical and Theoretical ChemistryMolecular BiologyMemory Disorderssynaptic plasticityOrganic Chemistryglial cellwiring transmissionBiological Transport030104 developmental biologylcsh:Biology (General)lcsh:QD1-999nervous systemAstrocytesSynapsesSynaptic plasticitytripartite synapsiextracellular vesiclesynaptic plasticity.NeuroscienceBiomarkers030217 neurology & neurosurgeryInternational Journal of Molecular Sciences
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New Functions of APC/C Ubiquitin Ligase in the Nervous System and Its Role in Alzheimer’s Disease

2017

The E3 ubiquitin ligase Anaphase Promoting Complex/Cyclosome (APC/C) regulates important processes in cells, such as the cell cycle, by targeting a set of substrates for degradation. In the last decade, APC/C has been related to several major functions in the nervous system, including axon guidance, synaptic plasticity, neurogenesis, and neuronal survival. Interestingly, some of the identified APC/C substrates have been related to neurodegenerative diseases. There is an accumulation of some degradation targets of APC/C in Alzheimer’s disease (AD) brains, which suggests a dysregulation of the protein complex in the disorder. Moreover, recently evidence has been provided for an inactivation o…

0301 basic medicineNervous systemNeurogenesisUbiquitin-Protein LigasesReviewubiquitin ligaseNervous SystemCatalysisAnaphase-Promoting Complex-CyclosomeCdh1 ProteinsInorganic Chemistrylcsh:Chemistry03 medical and health sciencesMiceAlzheimer Diseasemedicineoxidative stressAnimalsHumansPhysical and Theoretical ChemistryMolecular Biologylcsh:QH301-705.5SpectroscopyNeuronsNeuronal PlasticitybiologyOrganic ChemistryNeurodegenerationNeurogenesisCell CycleneurodegenerationGeneral MedicineCell cyclemedicine.diseaseComputer Science ApplicationsUbiquitin ligaseCell biology030104 developmental biologymedicine.anatomical_structurelcsh:Biology (General)lcsh:QD1-999ImmunologyKnockout mouseProteolysisbiology.proteinAxon guidanceAnaphase-promoting complexexcitotoxicityInternational Journal of Molecular Sciences
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Lactate as a Metabolite and a Regulator in the Central Nervous System

2016

More than two hundred years after its discovery, lactate still remains an intriguing molecule. Considered for a long time as a waste product of metabolism and the culprit behind muscular fatigue, it was then recognized as an important fuel for many cells. In particular, in the nervous system, it has been proposed that lactate, released by astrocytes in response to neuronal activation, is taken up by neurons, oxidized to pyruvate and used for synthesizing acetyl-CoA to be used for the tricarboxylic acid cycle. More recently, in addition to this metabolic role, the discovery of a specific receptor prompted a reconsideration of its role, and lactate is now seen as a sort of hormone, even invol…

0301 basic medicineNervous systemlactate transporterCentral nervous systemReviewBiologyBlood–brain barrierlactate receptorsNeuroprotectionCatalysislcsh:ChemistryInorganic Chemistry03 medical and health sciences0302 clinical medicineSettore BIO/10 - Biochimicalactate receptormedicineAnimalsHumanslactate transportersPhysical and Theoretical ChemistryReceptorExerciselcsh:QH301-705.5Molecular BiologySpectroscopyOrganic ChemistryNeurodegenerationlactic acidBrainGeneral MedicineMetabolismblood-brain barriermedicine.diseaseComputer Science ApplicationsCitric acid cycle030104 developmental biologymedicine.anatomical_structurelcsh:Biology (General)lcsh:QD1-999Biochemistrybrain metabolismActic acidexercise and lactateEnergy MetabolismNeuroscience030217 neurology & neurosurgerySignal Transductionactic acid; brain metabolism; lactate transporters; blood-brain barrier; lactate receptors; exercise and lactate
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Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research

2015

A wealth of biospecimen samples are stored in modern globally distributed biobanks. Biomedical researchers worldwide need to be able to combine the available resources to improve the power of large-scale studies. A prerequisite for this effort is to be able to search and access phenotypic, clinical and other information about samples that are currently stored at biobanks in an integrated manner. However, privacy issues together with heterogeneous information systems and the lack of agreed-upon vocabularies have made specimen searching across multiple biobanks extremely challenging. We describe three case studies where we have linked samples and sample descriptions in order to facilitate glo…

0301 basic medicineNetherlands Twin Register (NTR)Databases FactualComputer scienceInformation Storage and RetrievalSample (statistics)Ontology (information science)Endocrinology and DiabetesBioinformaticscomputer.software_genredata archivesArticle03 medical and health sciencesSDG 17 - Partnerships for the GoalsSDG 3 - Good Health and Well-beingGenetics/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_Use casebiomedical dataGenetics (clinical)Biological Specimen BanksGenetics & Heredity0604 GeneticsBioinformatics (Computational Biology)ta112ta1184/dk/atira/pure/sustainabledevelopmentgoals/partnershipsData scienceBiobank3. Good healthcross-biotank research030104 developmental biologyProject planningExchange of informationDisparate systemPrivacyBioinformatik (beräkningsbiologi)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingclinical datacomputerData integrationEuropean Journal of Human Genetics
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2020

Human movements are characterized by highly non-linear and multi-dimensional interactions within the motor system. Recently, an increasing emphasis on machine-learning applications has led to a significant contribution to the field of gait analysis, e.g., in increasing the classification performance. In order to ensure the generalizability of the machine-learning models, different data preprocessing steps are usually carried out to process the measured raw data before the classifications. In the past, various methods have been used for each of these preprocessing steps. However, there are hardly any standard procedures or rather systematic comparisons of these different methods and their im…

0301 basic medicineNormalization (statistics)HistologyComputer sciencebusiness.industryBiomedical EngineeringBioengineering02 engineering and technology021001 nanoscience & nanotechnologyPerceptronMachine learningcomputer.software_genreConvolutional neural networkRandom forestSupport vector machine03 medical and health sciences030104 developmental biologyGait analysisArtificial intelligenceData pre-processing0210 nano-technologybusinesscomputerBiotechnologyFrontiers in Bioengineering and Biotechnology
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