Search results for " map"

showing 10 items of 2344 documents

Progressive derivation of serially homologous neuroblast lineages in the gnathal CNS of Drosophila

2018

Along the anterior-posterior axis the central nervous system is subdivided into segmental units (neuromeres) the composition of which is adapted to their region-specific functional requirements. In Drosophila melanogaster each neuromere is formed by a specific set of identified neural stem cells (neuroblasts, NBs). In the thoracic and anterior abdominal region of the embryonic ventral nerve cord segmental sets of NBs resemble the ground state (2nd thoracic segment, which does not require input of homeotic genes), and serial (segmental) homologs generate similar types of lineages. The three gnathal head segments form a transitional zone between the brain and the ventral nerve cord. It has be…

0301 basic medicineCentral Nervous SystemEmbryologylcsh:MedicineSerial homologyGene ExpressionNervous SystemAnimal CellsMedicine and Health SciencesBrainbow Labelinglcsh:ScienceNeuronsBrain MappingMultidisciplinarybiologyAnatomyNeuromereNeural stem cellChemistryPhysical SciencesDrosophilaDrosophila melanogasterAnatomyCellular TypesHomeotic geneResearch ArticleLineage (genetic)Imaging TechniquesNeuroimagingResearch and Analysis MethodsComposite Images03 medical and health sciencesNeuroblastInterneuronsGeneticsAnimalsCell LineageMolecular Biology TechniquesMolecular BiologyGround Statelcsh:REmbryosBiology and Life SciencesCell BiologyQuantum Chemistrybiology.organism_classification030104 developmental biologyVentral nerve cordCellular Neurosciencelcsh:QCloningNeuroscienceDevelopmental BiologyPLoS ONE
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COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

2020

AbstractBackgroundEpidemiological, virological and pathogenetic characteristics of SARS-CoV-2 infection are under evaluation. A better understanding of the pathophysiology associated with COVID-19 is crucial to improve treatment modalities and to develop effective prevention strategies. Transcriptomic and proteomic data on the host response against SARS-CoV-2 still have anecdotic character; currently available data from other coronavirus infections are therefore a key source of information.MethodsWe investigated selected molecular aspects of three human coronavirus (HCoV) infections, namely SARS-CoV, MERS-CoV and HCoV-229E, through a network based-approach. A functional analysis of HCoV-hos…

0301 basic medicineChemokinevirusesPneumonia ViralGene regulatory networklcsh:MedicineComputational biologyVirus-host interactomemedicine.disease_causeModels BiologicalInteractomeGeneral Biochemistry Genetics and Molecular BiologyTranscriptomePathogenesis03 medical and health sciencesBetacoronavirus0302 clinical medicineViral Envelope ProteinsProtein Interaction MappingmedicineCoronavirus infectionHumansGene Regulatory NetworksPandemicsGeneCoronavirusVirus–host interactomeMembrane GlycoproteinsInnate immune systembiologySARS-CoV-2Researchlcsh:RCOVID-19virus diseasesGeneral Medicinebiochemical phenomena metabolism and nutritionVirus–host interactome ; COVID-19 ; Coronavirus infection ; Spike glycoproteinPhenotyperespiratory tract diseasescoronavirus infection; spike glycoprotein; virus-host interactome030104 developmental biologySettore MED/38 - PEDIATRIA GENERALE E SPECIALISTICA030220 oncology & carcinogenesisHost-Pathogen Interactionsbiology.proteinSpike glycoproteinCoronavirus InfectionsSignal TransductionJournal of Translational Medicine
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Topographic Independent Component Analysis reveals random scrambling of orientation in visual space

2017

Neurons at primary visual cortex (V1) in humans and other species are edge filters organized in orientation maps. In these maps, neurons with similar orientation preference are clustered together in iso-orientation domains. These maps have two fundamental properties: (1) retinotopy, i.e. correspondence between displacements at the image space and displacements at the cortical surface, and (2) a trade-off between good coverage of the visual field with all orientations and continuity of iso-orientation domains in the cortical space. There is an active debate on the origin of these locally continuous maps. While most of the existing descriptions take purely geometric/mechanistic approaches whi…

0301 basic medicineComputer scienceVisionVisual spaceStatistics as Topiclcsh:MedicineSocial SciencesSpace (mathematics)Scramblingchemistry.chemical_compound0302 clinical medicineCognitionLearning and MemoryAnimal CellsMedicine and Health SciencesPsychologylcsh:Sciencemedia_commonVisual CortexNeuronsMammalsObject RecognitionCoding MechanismsBrain MappingMultidisciplinaryGeographyOrientation (computer vision)Visual fieldmedicine.anatomical_structureVertebratesSensory PerceptionCellular TypesAnatomyNeuronal TuningResearch ArticleCartographyPrimatesmedia_common.quotation_subjectOcular AnatomyRetina03 medical and health sciencesTopographic MapsOcular SystemMemoryPerceptionOrientationNeuronal tuningmedicineAnimalsHumansCortical surfaceComputational NeuroscienceRetinabusiness.industrylcsh:ROrganismsCognitive PsychologyBiology and Life SciencesComputational BiologyRetinalPattern recognitionCell Biology030104 developmental biologyVisual cortexchemistryRetinotopyCellular NeuroscienceAmniotesEarth SciencesCognitive Sciencelcsh:QPerceptionArtificial intelligencebusiness030217 neurology & neurosurgeryNeurosciencePLoS ONE
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Comparison between iMSD and 2D-pCF analysis for molecular motion studies on in vivo cells: The case of the epidermal growth factor receptor.

2018

Image correlation analysis has evolved to become a valuable method of analysis of the diffusional motion of molecules in every points of a live cell. Here we compare the iMSD and the 2D-pCF approaches that provide complementary information. The iMSD method provides the law of diffusion and it requires spatial averaging over a small region of the cell. The 2D-pCF does not require spatial averaging and it gives information about obstacles for diffusion at pixel resolution. We show the analysis of the same set of data by the two methods to emphasize that both methods could be needed to have a comprehensive understanding of the molecular diffusional flow in a live cell.

0301 basic medicineDigital image correlationIntravital MicroscopyImage ProcessingGreen Fluorescent ProteinsClinical SciencesChemicalCHO CellsGeneral Biochemistry Genetics and Molecular BiologyDiffusion AnisotropyArticleFluorescenceDiffusion03 medical and health sciencesConnectivity mapsCricetulusComputer-AssistedModelsMolecular motionImage Processing Computer-AssistedAnimalsEpidermal growth factor receptorDiffusion (business)Diffusion anisotropyMolecular BiologyImage resolutionPhysicsMicroscopyFluorescence fluctuation spectroscopybiologyMethod of analysisErbB Receptors030104 developmental biologyMicroscopy FluorescenceModels ChemicalBarrier to diffusionbiology.proteinBiological systemAlgorithms
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Identification of novel drug resistance mechanisms by genomic and transcriptomic profiling of glioblastoma cells with mutation-activated EGFR.

2021

Abstract Aims Epidermal growth factor receptor (EGFR) is not only involved in carcinogenesis, but also in chemoresistance. We characterized U87.MGΔEGFR glioblastoma cells with constitutively active EGFR due to deletion at the ligand binding domain in terms of gene expression profiling and chromosomal aberrations. Wild-type U87.MG cells served as control. Materials and methods RNA sequencing and network analyses (Ingenuity Pathway Analysis) were performed to identify novel drug resistance mechanisms related to expression of mutation activated EGFR. Chromosomal aberrations were characterized by multicolor fluorescence in situ hybridization (mFISH) and array comparative genomic hybridization (…

0301 basic medicineDown-RegulationBiologymedicine.disease_cause030226 pharmacology & pharmacyGeneral Biochemistry Genetics and Molecular BiologyTranscriptome03 medical and health sciences0302 clinical medicineCell Line TumormedicineHumansGene Regulatory NetworksProtein Interaction MapsGeneral Pharmacology Toxicology and PharmaceuticsGeneTranscription factorMetaphaseChromosome AberrationsMutationmedicine.diagnostic_testBrain NeoplasmsGene Expression ProfilingGeneral MedicineGenomicsUp-RegulationGene expression profilingErbB ReceptorsGene Expression Regulation Neoplastic030104 developmental biologyDrug Resistance NeoplasmMutationCancer researchCarcinogenesisGlioblastomaTranscriptomeComparative genomic hybridizationFluorescence in situ hybridizationSignal TransductionLife sciences
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Informational and linguistic analysis of large genomic sequence collections via efficient Hadoop cluster algorithms

2018

Abstract Motivation Information theoretic and compositional/linguistic analysis of genomes have a central role in bioinformatics, even more so since the associated methodologies are becoming very valuable also for epigenomic and meta-genomic studies. The kernel of those methods is based on the collection of k-mer statistics, i.e. how many times each k-mer in {A,C,G,T}k occurs in a DNA sequence. Although this problem is computationally very simple and efficiently solvable on a conventional computer, the sheer amount of data available now in applications demands to resort to parallel and distributed computing. Indeed, those type of algorithms have been developed to collect k-mer statistics in…

0301 basic medicineEpigenomicsgenomic analysis; hadoop; distributed computingStatistics and ProbabilityComputer scienceBig dataSequence assemblyGenomeBiochemistryDomain (software engineering)Set (abstract data type)03 medical and health sciencesdistributed computingSoftwareComputational Theory and MathematicAnimalsCluster AnalysisHumansA-DNAk-mer counting distributed computing hadoop map reduceMolecular BiologyEpigenomicsBacteriabusiness.industryk-mer countingEukaryotaLinguisticsComputer Science Applications1707 Computer Vision and Pattern RecognitionGenomicsSequence Analysis DNAComputer Science ApplicationsComputational Mathematics030104 developmental biologymap reduceComputational Theory and MathematicsDistributed algorithmgenomic analysisKernel (statistics)MetagenomehadoopbusinessAlgorithmAlgorithmsSoftware
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Adaptation of gene loci to heterochromatin in the course of Drosophila evolution is associated with insulator proteins.

2020

AbstractPericentromeric heterochromatin is generally composed of repetitive DNA forming a transcriptionally repressive environment. Dozens of genes were embedded into pericentromeric heterochromatin during evolution of Drosophilidae lineage while retaining activity. However, factors that contribute to insusceptibility of gene loci to transcriptional silencing remain unknown. Here, we find that the promoter region of genes that can be embedded in both euchromatin and heterochromatin exhibits a conserved structure throughout the Drosophila phylogeny and carries motifs for binding of certain chromatin remodeling factors, including insulator proteins. Using ChIP-seq data, we demonstrate that ev…

0301 basic medicineEuchromatinHeterochromatinEvolutionMolecular biologyAdaptation Biologicallcsh:MedicineInsulator (genetics)Chromatin remodelingArticleEvolutionary geneticsEvolution Molecular03 medical and health sciences0302 clinical medicineDrosophilidaeHeterochromatinAnimalsDrosophila ProteinsNucleotide Motifslcsh:ScienceEye ProteinsPromoter Regions GeneticGenePericentric heterochromatinPhylogenyGeneticsMultidisciplinarygeenitBinding Sitesbiologylcsh:RfungiChromosome MappingPromoterDNAbiology.organism_classificationChromatinDNA-Binding Proteins030104 developmental biologyGene Expression RegulationGenetic LociChromatin Immunoprecipitation SequencingMolecular evolutionlcsh:QDrosophilaTranscription Initiation SiteTranscription030217 neurology & neurosurgeryProtein BindingScientific reports
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Maternal DNA lineages at the gate of Europe in the 10th century AD

2018

Given the paucity of archaeogenetic data available for medieval European populations in comparison to other historical periods, the genetic landscape of this age appears as a puzzle of dispersed, small, known pieces. In particular, Southeastern Europe has been scarcely investigated to date. In this paper, we report the study of mitochondrial DNA in 10th century AD human samples from Capidava necropolis, located in Dobruja (Southeastern Romania, Southeastern Europe). This geographical region is particularly interesting because of the extensive population flux following diverse migration routes, and the complex interactions between distinct population groups during the medieval period. We suc…

0301 basic medicineEuropean PeopleremainsHeredityPopulation geneticslcsh:Medicinepopulation030105 genetics & heredityBiochemistryHaplogroupGeographical Locationscontaminationmitochondrial-dnaEthnicitieslcsh:SciencePhylogenymtDNA control regionPrincipal Component Analysiseducation.field_of_studyMultidisciplinaryGeographyHigh-Throughput Nucleotide SequencingPaleogeneticscontrol regionMitochondrial DNAEuropeNucleic acidsGenetic MappingPhylogeographyGeographyArchaeologyBiogeographyRomanian PeopleGenetic structurehistoryResearch ArticleMitochondrial DNAancient DNA mitochondrial DNA population genetics Romania Capidava medieval necropolisForms of DNAPopulationNear-EasternDNA MitochondrialBone and BonesWhite Peoplediversity03 medical and health sciencesgenetic affinitiesGeneticsHumanseducationEvolutionary BiologyBiology and life sciencesPopulation BiologyRomaniaEcology and Environmental Scienceslcsh:RPaleontologySequence Analysis DNADNAsequenceHistory MedievalPhylogeographyGenetics Population030104 developmental biologyHaplotypesEvolutionary biologyPeople and PlacesEarth SciencesHaplogroupsPopulation Groupingslcsh:QPaleogeneticsPopulation Genetics
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Virus-host interactome: Putting the accent on how it changes

2017

[EN] Viral infections are extremely complex processes that could only be well understood by precisely characterizing the interaction networks between the virus and the host components. In recent years, much effort has gone in this directionwith the aimof unveiling themolecular basis of viral pathology. These networks are mostly formed by viral and host proteins, and are expected to be dynamic bothwith time and space (i.e., with the progression of infection, as well as with the virus and host genotypes; what we call plastodynamic). This largely overlooked spatio-temporal evolution urgently calls for a change both in the conceptual paradigms and experimental techniques used so far to characte…

0301 basic medicineEvolutionSystems biologyBiophysicsComplex diseaseDiseaseComputational biologyBiologyBioinformaticsBiochemistryInteractomeVirusViral Proteins03 medical and health sciencesSpatio-Temporal AnalysisProtein networkVirologyStress (linguistics)AnimalsHumansProtein Interaction MapsVirus host030102 biochemistry & molecular biologyHost (biology)030104 developmental biologyVirus DiseasesHost-Pathogen InteractionsSystems biologyJournal of Proteomics
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iDamIDseq and iDEAR: an improved method and computational pipeline to profile chromatin-binding proteins

2016

DNA adenine methyltransferase identification (DamID) has emerged as an alternative method to profile protein-DNA interactions; however, critical issues limit its widespread applicability. Here, we present iDamIDseq, a protocol that improves specificity and sensitivity by inverting the steps DpnI-DpnII and adding steps that involve a phosphatase and exonuclease. To determine genome-wide protein-DNA interactions efficiently, we present the analysis tool iDEAR (iDamIDseq Enrichment Analysis with R). The combination of DamID and iDEAR permits the establishment of consistent profiles for transcription factors, even in transient assays, as we exemplify using the small teleost medaka (Oryzias lati…

0301 basic medicineExonucleaseSite-Specific DNA-Methyltransferase (Adenine-Specific)Embryo NonmammalianOryziasOryziasComputational biologyBiology03 medical and health scienceschemistry.chemical_compoundTechniques and ResourcesTranscriptional regulationDatabases GeneticProtein Interaction MappingTranscriptional regulationAnimalsEpigeneticsPromoter Regions GeneticMolecular BiologyTranscription factorGeneticsBinding SitesChromatin bindingComputational BiologyPromoterSequence Analysis DNADNA Methylationbiology.organism_classificationChromatinDNA-Binding Proteins030104 developmental biologychemistryGene Expression Regulation207Chromatin profilingbiology.proteinDamIDEpigeneticsTranscription factorDNAAlgorithmsDevelopmental BiologyProtein BindingTranscription FactorsDevelopment (Cambridge, England)
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