Search results for "Phenotype"

showing 10 items of 1875 documents

Opposing Effects of CREBBP Mutations Govern the Phenotype of Rubinstein-Taybi Syndrome and Adult SHH Medulloblastoma

2018

Recurrent mutations in chromatin modifiers are specifically prevalent in adolescent or adult patients with Sonic hedgehog-associated medulloblastoma (SHH MB). Here, we report that mutations in the acetyltransferase CREBBP have opposing effects during the development of the cerebellum, the primary site of origin of SHH MB. Our data reveal that loss of Crebbp in cerebellar granule neuron progenitors (GNPs) during embryonic development of mice compromises GNP development, in part by downregulation of brain-derived neurotrophic factor (Bdnf). Interestingly, concomitant cerebellar hypoplasia was also observed in patients with Rubinstein-Taybi syndrome, a congenital disorder caused by germline mu…

0301 basic medicineCerebellumCrebbp protein mousemetabolism [Cerebellar Neoplasms]acetyltransferase; cerebellum; CREBBP; development; Rubinstein-Taybi syndrome; SHH medulloblastomagenetics [Hedgehog Proteins]MiceNeurotrophic factorsmetabolism [CREB-Binding Protein]Mice KnockoutNeuronsRubinstein-Taybi Syndromepathology [Rubinstein-Taybi Syndrome]CREBBPCREB-Binding ProteinPhenotypegenetics [CREB-Binding Protein]3. Good healthpathology [Cerebellar Neoplasms]acetyltransferasePhenotypemedicine.anatomical_structuregenetics [Rubinstein-Taybi Syndrome]Femalemetabolism [Hedgehog Proteins]Signal TransductionSHH medulloblastomaAdultcerebellumBiologyGeneral Biochemistry Genetics and Molecular BiologyCREBBP; Rubinstein-Taybi syndrome; SHH medulloblastoma; acetyltransferase; cerebellum; development.03 medical and health sciencesGermline mutationAcetyltransferasesmetabolism [Medulloblastoma]medicineAnimalsHumansgenetics [Cerebellar Neoplasms]Hedgehog Proteinsddc:610Cerebellar NeoplasmsdevelopmentMolecular BiologyMedulloblastomaRubinstein–Taybi syndromegenetics [Medulloblastoma]metabolism [Rubinstein-Taybi Syndrome]pathology [Medulloblastoma]Cell Biologymedicine.disease030104 developmental biologyMutationphysiology [CREB-Binding Protein]Cancer researchSHH protein humanCerebellar hypoplasia (non-human)metabolism [Acetyltransferases]CREBBP protein humanMedulloblastomaDevelopmental BiologyCongenital disorderDevelopmental Cell
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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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Aneuploidy and Ethanol Tolerance in Saccharomyces cerevisiae

2019

Response to environmental stresses is a key factor for microbial organism growth. One of the major stresses for yeasts in fermentative environments is ethanol. Saccharomyces cerevisiae is the most tolerant species in its genus, but intraspecific ethanol-tolerance variation exists. Although, much effort has been done in the last years to discover evolutionary paths to improve ethanol tolerance, this phenotype is still hardly understood. Here, we selected five strains with different ethanol tolerances, and used comparative genomics to determine the main factors that can explain these phenotypic differences. Surprisingly, the main genomic feature, shared only by the highest ethanol-tolerant st…

0301 basic medicineChromosome IIIlcsh:QH426-470Saccharomyces cerevisiaeAneuploidycomparative genomicsSaccharomyces cerevisiaeEthanol toleranceBiologyTranscriptome03 medical and health sciences0302 clinical medicineGeneticsmedicineaneuploidyGenetics (clinical)Wine yeastsGeneticsComparative genomicsComparative genomicsStrain (biology)chromosome IIIChromosomewine yeastsAneuploidybiology.organism_classificationmedicine.diseasePhenotypeethanol tolerancelcsh:Genetics030104 developmental biology030220 oncology & carcinogenesisMolecular MedicinePloidyFrontiers in Genetics
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Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging

2017

Human aging is a lifelong process characterized by a continuous trade-off between pro-and anti-inflammatory responses, where the best-adapted and/or remodeled genetic/epigenetic profile may develop a longevity phenotype. Centenarians and their offspring represent such a phenotype and their comparison to patients with age-related diseases (ARDs) is expected to maximize the chance to unravel the genetic makeup that better associates with healthy aging trajectories. Seemingly, such comparison is expected to allow the discovery of new biomarkers of longevity together with risk factor for the most common ARDs. MicroRNAs (miRNAs) and their shuttles (extracellular vesicles in particular) are curre…

0301 basic medicineCirculating mirnasAgingOffspringmedia_common.quotation_subjectBiologyBioinformaticsArticleExtracellular Vesicles03 medical and health sciencesCirculating microRNAmicroRNAEpigenetic ProfileAnimalsHumansCentenarianmedia_commonInflammationPerspective (graphical)LongevityPhenotype3. Good healthMicroRNAsCirculating MicroRNA030104 developmental biologyAging trajectorieOffspring of centenariansmiR-21-5pBiomarkersDevelopmental Biology
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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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Tumor- and cytokine-primed human natural killer cells exhibit distinct phenotypic and transcriptional signatures.

2019

An emerging cellular immunotherapy for cancer is based on the cytolytic activity of natural killer (NK) cells against a wide range of tumors. Although in vitro activation, or "priming," of NK cells by exposure to pro-inflammatory cytokines, such as interleukin (IL)-2, has been extensively studied, the biological consequences of NK cell activation in response to target cell interactions have not been thoroughly characterized. We investigated the consequences of co-incubation with K562, CTV-1, Daudi RPMI-8226, and MCF-7 tumor cell lines on the phenotype, cytokine expression profile, and transcriptome of human NK cells. We observe the downregulation of several activation receptors including CD…

0301 basic medicineCytotoxicity ImmunologicPhysiologymedicine.medical_treatmentCytotoxicityGene ExpressionNK cellsLymphocyte ActivationToxicologyPathology and Laboratory MedicineMolecular biology assays and analysis techniquesChemokine receptor0302 clinical medicineNeoplasmsImmune PhysiologyCellular typesGene Regulatory NetworksIL-2 receptorReceptorInnate Immune SystemMultidisciplinaryNucleic acid analysisQImmune cellsRRNA analysisKiller Cells NaturalCytokinePhenotype030220 oncology & carcinogenesisMCF-7 CellsMedicineCytokinesWhite blood cellsTumor necrosis factor alphaImmunotherapyInflammation MediatorsResearch ArticleCell signalingCell biologyBlood cellsScienceImmunologyCD16BiologyResearch and Analysis Methods03 medical and health sciencesExtraction techniquesCell Line TumormedicineGeneticsHumansMolecular Biology TechniquesMolecular BiologySecretionMedicine and health sciencesBiology and life sciencesMolecular DevelopmentNKG2DRNA extraction030104 developmental biologyAnimal cellsImmune SystemCancer researchK562 CellsTranscriptomePhysiological ProcessesDevelopmental BiologyCloningPloS one
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A murine intestinal intraepithelial NKp46-negative innate lymphoid cell population characterized by group 1 properties

2017

The Ly49E receptor is preferentially expressed on murine innate-like lymphocytes, such as epidermal Vγ3 T cells, intestinal intraepithelial CD8αα(+) T lymphocytes, and CD49a(+) liver natural killer (NK) cells. As the latter have recently been shown to be distinct from conventional NK cells and have innate lymphoid cell type 1 (ILC1) properties, we investigated Ly49E expression on intestinal ILC populations. Here, we show that Ly49E expression is very low on known ILC populations, but it can be used to define a previously unrecognized intraepithelial innate lymphoid population. This Ly49E-positive population is negative for NKp46 and CD8αα, expresses CD49a and CD103, and requires T-bet expre…

0301 basic medicineCytotoxicity ImmunologicSUBSETSROR-GAMMA-TLYMPHOCYTESILC1TranscriptomeMice0302 clinical medicineInterferonNKp46-negativeMedicine and Health SciencesAntigens LyInterferon gammaLymphocytesIFN-γlcsh:QH301-705.5education.field_of_studyintestinalIFN-GAMMAInnate lymphoid cellNATURAL-KILLERIntestinesKiller Cells NaturalPhenotypeDIFFERENTIATIONSignal transductionNK Cell Lectin-Like Receptor Subfamily Amedicine.drugSignal TransductionintraepithelialEXPRESSIONPopulationNKP46(+) CELLSBiologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesInterferon-gammaImmunityAntigens CDmedicineAnimalseducationCell ShapeNatural Cytotoxicity Triggering Receptor 1INHIBITORY RECEPTORSBiology and Life SciencesEpithelial CellsMolecular biologyImmunity InnateNK-CELLS030104 developmental biologyNatural Cytotoxicity Triggering Receptor 1lcsh:Biology (General)ImmunologyTranscriptomeLy49E030215 immunologyTranscription Factors
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Photobacterium malacitanum sp. nov., and Photobacterium andalusiense sp. nov., two new bacteria isolated from diseased farmed fish in Southern Spain.

2018

Three strains, H01100409BT, H01100413B, and H27100402HT, were isolated from several internal organs of diseased redbanded seabream (Pagrus auriga) reared in Andalusia (Southern Spain). All strains were studied by phenotypic, including chemotaxonomy, and genomic characteristics. Phylogenetic analysis based on concatenated sequences of six housekeeping genes (gyrB, ftsZ, topA, mreB, gapA, and 16S rRNA) supported the inclusion of the strains within the clade Phosphoreum of the genus Photobacterium, and two of the strains (H27100402HT and H01100409BT) formed a tight group separated from the closest species P. aquimaris. Genomic analyses, including average nucleotide identity (ANIb and ANIm) and…

0301 basic medicineDNA Bacterial030106 microbiologyFisheriesZoologyApplied Microbiology and BiotechnologyMicrobiology03 medical and health sciencesFish DiseasesSpecies SpecificityPhylogeneticsRNA Ribosomal 16SAnimalsCladeEcology Evolution Behavior and SystematicsPhylogenyBase CompositionbiologyPhylogenetic treePhotobacteriumStrain (biology)Vitamin K 2Sequence Analysis DNA16S ribosomal RNAPhotobacteriumbiology.organism_classificationHousekeeping gene030104 developmental biologyPhenotypeChemotaxonomyGenes BacterialSpainGenome BacterialSystematic and applied microbiology
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Modeling of Myotonic Dystrophy Cardiac Phenotypes in Drosophila

2018

After respiratory distress, cardiac dysfunction is the second most common cause of fatality associated with the myotonic dystrophy (DM) disease. Despite the prevalance of heart failure in DM, physiopathological studies on heart symptoms have been relatively scarce because few murine models faithfully reproduce the cardiac disease. Consequently, only a small number of candidate compounds have been evaluated in this specific phenotype. To help cover this gap Drosophila combines the amenability of its invertebrate genetics with the possibility of quickly acquiring physiological parameters suitable for meaningful comparisons with vertebrate animal models and humans. Here we review available des…

0301 basic medicineDaunorubicinDiseaseBioinformaticsMyotonic dystrophyMuscleblindlcsh:RC346-42903 medical and health sciencesCTG expansionmedicineDrosophilalcsh:Neurology. Diseases of the nervous systemmyotonic dystrophybiologyRespiratory distresscardiac dysfunctionCCTG expansionRNADrosophila disease modelbiology.organism_classificationmedicine.diseasePhenotype030104 developmental biologyNeurologyHeart failureNeurology (clinical)medicine.drugFrontiers in Neurology
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Contribution of allelic imbalance to colorectal cancer

2018

Point mutations in cancer have been extensively studied but chromosomal gains and losses have been more challenging to interpret due to their unspecific nature. Here we examine high-resolution allelic imbalance (AI) landscape in 1699 colorectal cancers, 256 of which have been whole-genome sequenced (WGSed). The imbalances pinpoint 38 genes as plausible AI targets based on previous knowledge. Unbiased CRISPR-Cas9 knockout and activation screens identified in total 79 genes within AI peaks regulating cell growth. Genetic and functional data implicate loss of TP53 as a sufficient driver of AI. The WGS highlights an influence of copy number aberrations on the rate of detected somatic point muta…

0301 basic medicineDenmarkLoss of HeterozygosityGeneral Physics and AstronomyAllelic ImbalanceLoss of heterozygosityGenotypeddc:576.5RNA Small Interferinglcsh:ScienceRNA Small Interfering/geneticsGeneticsMultidisciplinaryQGenomicsPhenotype3. Good healthGENOMEPhenotypesyöpägeenitAllelic ImbalanceTumor Suppressor Protein p53/geneticsColorectal NeoplasmsChromosomes Human Pair 8GENESDNA Copy Number VariationsGenotypeScienceTranscription Factors/geneticsGenomicscolorectal cancerBiologyArticleGeneral Biochemistry Genetics and Molecular BiologyProto-Oncogene Proteins p21(ras)Proto-Oncogene Proteins p21(ras)/genetics03 medical and health sciencesmedicineHumansPoint MutationGenetic Predisposition to DiseaseGenepaksusuolisyöpäChromosome AberrationsWhole Genome SequencingHUMAN-COLONGene Expression ProfilingPoint mutationCancerGeneral Chemistrymedicine.diseaseColorectal Neoplasms/geneticsENHANCERS030104 developmental biologyCELLSlcsh:Q3111 BiomedicineTumor Suppressor Protein p53CRISPR-Cas SystemsmutaatiotTranscription FactorsMicrosatellite Repeats
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