Search results for "Election"

showing 10 items of 2159 documents

The Phenotypic Plasticity of Duplicated Genes in Saccharomyces cerevisiae and the Origin of Adaptations

2016

Gene and genome duplication are the major sources of biological innovations in plants and animals. Functional and transcriptional divergence between the copies after gene duplication has been considered the main driver of innovations . However, here we show that increased phenotypic plasticity after duplication plays a more major role than thought before in the origin of adaptations. We perform an exhaustive analysis of the transcriptional alterations of duplicated genes in the unicellular eukaryote Saccharomyces cerevisiae when challenged with five different environmental stresses. Analysis of the transcriptomes of yeast shows that gene duplication increases the transcriptional response to…

0301 basic medicineCell PlasticityEvolutionary biologySaccharomyces cerevisiaeQH426-470InvestigationsBiologyGenomeEvolution MolecularTranscriptome03 medical and health sciencesEvolution by gene duplicationGene DuplicationGene duplicationGeneticsAnimalsSelection GeneticTranscriptional profilesMolecular BiologyGenePhylogenyGenetics (clinical)GeneticsPhenotypic plasticityModels GeneticPlantsAdaptation Physiological030104 developmental biologyWhole-genome duplicatesSubfunctionalizationGenome FungalAdaptationGene functionSmall-scale duplicates
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Thymus-derived regulatory T cells are positively selected on natural self-antigen through cognate interactions of high functional avidity

2016

Regulatory T (Treg) cells expressing Foxp3 transcripton factor are essential for immune homeostasis. They arise in the thymus as a separate lineage from conventional CD4+Foxp3- T (Tconv) cells. Here, we show that the thymic development of Treg cells depends on the expression of their endogenous cognate self-antigen. The formation of these cells was impaired in mice lacking this self-antigen, while Tconv cell development was not negatively affected. Thymus-derived Treg cells were selected by self-antigens in a specific manner, while autoreactive Tconv cells were produced through degenerate recognition of distinct antigens. These distinct modes of development were associated with the expressi…

0301 basic medicineCell typeCancer ResearchEncephalomyelitis Autoimmune ExperimentalMultiple Sclerosis[SDV]Life Sciences [q-bio]ImmunologyReceptors Antigen T-CellEndogenyT-Cell Antigen Receptor Specificitychemical and pharmacologic phenomenaThymus GlandBiologymedicine.disease_causeAutoantigensT-Lymphocytes RegulatoryAutoimmunity03 medical and health sciencesMice0302 clinical medicineAntigenT-Lymphocyte SubsetsmedicineImmunology and AllergyAnimalsHumansAvidityCTLA-4 AntigenReceptorClonal Selection Antigen-MediatedCells CulturedMice KnockoutCell growthFOXP3Forkhead Transcription Factorshemic and immune systemsPeptide Fragments[SDV] Life Sciences [q-bio]Mice Inbred C57BL030104 developmental biologyInfectious DiseasesImmunologyMyelin-Oligodendrocyte Glycoprotein030215 immunology
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Collective Infection of Cells by Viral Aggregates Promotes Early Viral Proliferation and Reveals a Cellular-Level Allee Effect

2018

In addition to the conventional release of free, individual virions, virus dispersal can involve multi-virion assemblies that collectively infect cells. However, the implications of collective infection for viral fitness remain largely unexplored. Using vesicular stomatitis virus, here, we compare the fitness of free versus saliva-aggregated viral particles. We find that aggregation has a positive effect on early progeny production, conferring a fitness advantage relative to equal numbers of free particles in most cell types. The advantage of aggregation resides, at least partially, in increasing the cellular multiplicity of infection. In mouse embryonic fibroblasts, the per capita, short-t…

0301 basic medicineCell typevirusesCellBiologyVirus ReplicationArticleGeneral Biochemistry Genetics and Molecular BiologyVirusMice03 medical and health sciencessymbols.namesakeMultiplicity of infectionChlorocebus aethiopsmedicineAnimalsHumansSelection GeneticSalivaVero CellsAllee effectInnate immune systemVesiculovirusbiology.organism_classificationEmbryonic stem cellCell biologyMice Inbred C57BL030104 developmental biologymedicine.anatomical_structureA549 CellsVesicular stomatitis virussymbolsFemaleGeneral Agricultural and Biological SciencesCurrent Biology
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Evolution of Ciona intestinalis Tumor necrosis factor alpha ( Ci TNFα): Polymorphism, tissues expression, and 3D modeling

2017

Although the Tumor necrosis factor gene superfamily seems to be very conserved in vertebrates, phylogeny, tissue expression, genomic and gene organization, protein domains and polymorphism analyses showed that a strong change has happened mostly in invertebrates in which protochordates were a constraint during the immune-molecules history and evolution. RT PCR was used to investigate differential gene expression in different tissues. The expression shown was greater in the pharynx. Single-nucleotide polymorphism has been investigated in Ciona intestinalis Tumor necrosis factor alpha (CiTNFα) mRNA isolated from the pharynx of 30 ascidians collected from Licata, Sicily (Italy), by denaturing …

0301 basic medicineCiona intestinaliIn silicoImmunologyProtein domainTNFSettore BIO/05 - ZoologiaPolymorphism Single NucleotideCiona intestinalis; DGGE; Gene expression; Polymorphism; TNF03 medical and health sciencesNegative selection0302 clinical medicineGene expressionAnimalsComputer SimulationCiona intestinalisRNA MessengerCloning MolecularSelection GeneticDGGEPolymorphismGeneCells CulturedPhylogenyGeneticsGenomebiologyTumor Necrosis Factor-alphaGene Expression ProfilingNucleic acid sequencebiology.organism_classificationBiological EvolutionMolecular biologyCiona intestinalis030104 developmental biologyPharynxGene expressionSequence Alignment030217 neurology & neurosurgeryTemperature gradient gel electrophoresisDevelopmental BiologyDevelopmental & Comparative Immunology
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Influence of pathway topology and functional class on the molecular evolution of human metabolic genes

2018

Metabolic networks comprise thousands of enzymatic reactions functioning in a controlled manner and have been shaped by natural selection. Thanks to the genome data, the footprints of adaptive (positive) selection are detectable, and the strength of purifying selection can be measured. This has made possible to know where, in the metabolic network, adaptive selection has acted and where purifying selection is more or less strong and efficient. We have carried out a comprehensive molecular evolutionary study of all the genes involved in the human metabolism. We investigated the type and strength of the selective pressures that acted on the enzyme-coding genes belonging to metabolic pathways …

0301 basic medicineComputer and Information SciencesEvolutionary ProcessesScienceMetabolic networkMetabolic networksBiologyTopologyGenomeBiochemistryEvolutionary geneticsEvolution Molecular03 medical and health sciencesNegative selection0302 clinical medicineMolecular evolutionEnzyme metabolismAnimalsHumansCentralityEnzyme ChemistryGeneSelection (genetic algorithm)030304 developmental biologyMammals0303 health sciencesEvolutionary BiologyMultidisciplinaryNatural selectionQRBiology and Life SciencesProteinsEvolutionary rateEnzymesMetabolic pathway030104 developmental biologyMetabolismMetabolic pathwaysEnzymologyMedicineMolecular evolution030217 neurology & neurosurgeryNetwork AnalysisResearch Article
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Differential binding cell-SELEX method to identify cell-specific aptamers using high-throughput sequencing

2018

AbstractAptamers have in recent years emerged as a viable alternative to antibodies. High-throughput sequencing (HTS) has revolutionized aptamer research by increasing the number of reads from a few (using Sanger sequencing) to millions (using an HTS approach). Despite the availability and advantages of HTS compared to Sanger sequencing, there are only 50 aptamer HTS sequencing samples available on public databases. HTS data in aptamer research are primarily used to compare sequence enrichment between subsequent selection cycles. This approach does not take full advantage of HTS because the enrichment of sequences during selection can be due to inefficient negative selection when using live…

0301 basic medicineComputer scienceAptamerlcsh:MedicineGenomicsComputational biologyCell selexLigandsArticleDNA sequencingCell Line03 medical and health sciencessymbols.namesakeNegative selectionDrug Delivery Systems0302 clinical medicineCell Line TumorHumansGenomic librarylcsh:ScienceCarcinoma Renal CellSelection (genetic algorithm)Gene LibrarySanger sequencingMultidisciplinaryMolecular medicinelcsh:RSELEX Aptamer TechniqueHigh-throughput screeningComputational BiologyHigh-Throughput Nucleotide SequencingNucleotide MetabolismGenomicsAptamers NucleotideFlow CytometryMolecular medicineKidney Neoplasms030104 developmental biologyDrug DesignDrug deliverysymbolsNucleic Acid Conformationlcsh:QFunctional genomics030217 neurology & neurosurgerySystematic evolution of ligands by exponential enrichment
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Deep Learning Architectures for DNA Sequence Classification

2017

DNA sequence classification is a key task in a generic computational framework for biomedical data analysis, and in recent years several machine learning technique have been adopted to successful accomplish with this task. Anyway, the main difficulty behind the problem remains the feature selection process. Sequences do not have explicit features, and the commonly used representations introduce the main drawback of the high dimensionality. For sure, machine learning method devoted to supervised classification tasks are strongly dependent on the feature extraction step, and in order to build a good representation it is necessary to recognize and measure meaningful details of the items to cla…

0301 basic medicineComputer sciencebusiness.industryProcess (engineering)Deep learningFeature extractionFeature selection02 engineering and technologyMachine learningcomputer.software_genreConvolutional neural networkTask (project management)03 medical and health sciences030104 developmental biologyRecurrent neural network0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceRepresentation (mathematics)businesscomputer
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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

2019

All authors: Andrea Cossarizza Hyun‐Dong Chang Andreas Radbruch Andreas Acs Dieter Adam Sabine Adam‐Klages William W. Agace Nima Aghaeepour Mübeccel Akdis Matthieu Allez Larissa Nogueira Almeida Giorgia Alvisi Graham Anderson Immanuel Andrä Francesco Annunziato Achille Anselmo Petra Bacher Cosima T. Baldari Sudipto Bari Vincenzo Barnaba Joana Barros‐Martins Luca Battistini Wolfgang Bauer Sabine Baumgart Nicole Baumgarth Dirk Baumjohann Bianka Baying Mary Bebawy Burkhard Becher Wolfgang Beisker Vladimir Benes Rudi Beyaert Alfonso Blanco Dominic A. Boardman Christian Bogdan Jessica G. Borger Giovanna Borsellino Philip E. Boulais Jolene A. Bradford Dirk Brenner Ryan R. Brinkman Anna E. S. Broo…

0301 basic medicineConsensusImmunologyConsensuCell SeparationBiologyArticleFlow cytometry03 medical and health sciences0302 clinical medicineGuidelines ; Immunology ; Flow cytometryAllergy and ImmunologymedicineCell separationImmunology and AllergyHumansguidelines; flow cytometry; immunologymedicine.diagnostic_testBIOMEDICINE AND HEALTHCARE. Basic Medical Sciences.Cell sortingFlow CytometryCell selectionData science3. Good health030104 developmental biologyPhenotypeAllergy and Immunology; Cell Separation; Consensus; Flow Cytometry; Humans; Phenotype[SDV.IMM]Life Sciences [q-bio]/ImmunologyBIOMEDICINA I ZDRAVSTVO. Temeljne medicinske znanosti.030215 immunologyHumanEuropean journal of immunology
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On a Planar Dynamical System Arising in the Network Control Theory

2016

We study the structure of attractors in the two-dimensional dynamical system that appears in the network control theory. We provide description of the attracting set and follow changes this set suffers under the changes of positive parameters µ and Θ.

0301 basic medicineDynamical systems theoryPhase portraitattractor selection020206 networking & telecommunicationsphase portraits02 engineering and technologyDynamical systemnetworks controldynamical systemLinear dynamical system03 medical and health sciences030104 developmental biologyProjected dynamical systemControl theoryModeling and SimulationAttractor0202 electrical engineering electronic engineering information engineeringQA1-939Statistical physicsLimit setRandom dynamical systemAnalysisMathematicsMathematicsMathematical Modelling and Analysis
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Intensive aquaculture selects for increased virulence and interference competition in bacteria

2016

Although increased disease severity driven by intensive farming practices is problematic in food production, the role of evolutionary change in disease is not well understood in these environments. Experiments on parasite evolution are traditionally conducted using laboratory models, often unrelated to economically important systems. We compared how the virulence, growth and competitive ability of a globally important fish pathogen, Flavobacterium columnare , change under intensive aquaculture. We characterized bacterial isolates from disease outbreaks at fish farms during 2003–2010, and compared F. columnare populations in inlet water and outlet water of a fish farm during the 2010 outbre…

0301 basic medicineFish farmingPopulationevoluutioVirulenceDiseaseBiologyFlavobacteriumGeneral Biochemistry Genetics and Molecular BiologyFish DiseasesFlavobacterium columnare03 medical and health sciencesAquacultureFlavobacteriaceae InfectionsevolutionAnimalsSelection Geneticeducationvesiviljely (kalatalous)FinlandResearch ArticlesGeneral Environmental ScienceExperimental evolutioneducation.field_of_studyGeneral Immunology and MicrobiologyEcologyIntensive farmingbusiness.industryta1183virulenssiGeneral MedicineBiological Evolutionvirulence030104 developmental biologyaquaculturePerchesFood processingMicrobial Interactionsta1181General Agricultural and Biological SciencesbusinessSalmonidaefish farmingpathogen
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