Search results for "Dna"

showing 10 items of 6803 documents

Role of glutathione in the regulation of epigenetic mechanisms in disease

2017

Epigenetics is a rapidly growing field that studies gene expression modifications not involving changes in the DNA sequence. Histone H3, one of the basic proteins in the nucleosomes that make up chromatin, is S-glutathionylated in mammalian cells and tissues, making Gamma-L-glutamyl-L-cysteinylglycine, glutathione (GSH), a physiological antioxidant and second messenger in cells, a new post-translational modifier of the histone code that alters the structure of the nucleosome. However, the role of GSH in the epigenetic mechanisms likely goes beyond a mere structural function. Evidence supports the hypothesis that there is a link between GSH metabolism and the control of epigenetic mechanisms…

0301 basic medicineS-AdenosylmethionineEpigenetic regulation of neurogenesisADNBiologyBiochemistryEpigenesis GeneticHistones03 medical and health sciencesHistone H3Epigenetics of physical exerciseHistonasNeoplasmsPhysiology (medical)AnimalsHumansHistone codeEpigeneticsCancer epigeneticsEpigenomicsMetabolic SyndromeGenNeurodegenerative DiseasesDNA MethylationGlutathioneGenéticaNucleosomesMicroRNAs030104 developmental biologyBiochemistryHistone methyltransferaseProteínaEpigenéticaProtein Processing Post-TranslationalFree Radical Biology and Medicine
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Ortervirales: New Virus Order Unifying Five Families of Reverse-Transcribing Viruses

2018

International audience; Reverse-transcribing viruses, which synthesize a copy of genomic DNA from an RNA template, are widespread in animals, plants, algae, and fungi (1, 2). This broad distribution suggests the ancient origin(s) of these viruses, possibly [...]

0301 basic medicineS1retrovirusesviruses[SDV]Life Sciences [q-bio]ImmunologyretroviridaeMESH: Reverse TranscriptionL73 - Maladies des animauxVirus Replication[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomyMicrobiologyVirusbelpaoviridaeMESH: Viruses03 medical and health sciencesVirologyinternational committee on taxonomy of viruses (ICTV)Metaviridaevirus classificationLetter to the EditorVirus classificationGeneticsTy3/Gypsy and Ty1/Copia LTR retrotransposonscaulimoviridaevirus evolutionbiologyfungiMESH: Virus ReplicationRNAPseudoviridaeReverse Transcriptionbiology.organism_classificationMESH: Caulimoviridaegenomic DNA030104 developmental biologyMESH: RetroviridaeMESH: HepadnaviridaeInsect ScienceViral evolutionhepadnaviridaeBelpaoviridae; Caulimoviridae; Hepadnaviridae; International Committee on Taxonomy of Viruses (ICTV); Metaviridae; Pseudoviridae; Retroviridae; Ty3/Gypsy and Ty1/Copia LTR retrotransposons; retroviruses; virus classification; virus evolutionViruses[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/VirologymetaviridaeCaulimoviridaepseudoviridae
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SPEN haploinsufficiency causes a neurodevelopmental disorder overlapping proximal 1p36 deletion syndrome with an episignature of X chromosomes in fem…

2021

Contains fulltext : 231702.pdf (Publisher’s version ) (Closed access) Deletion 1p36 (del1p36) syndrome is the most common human disorder resulting from a terminal autosomal deletion. This condition is molecularly and clinically heterogeneous. Deletions involving two non-overlapping regions, known as the distal (telomeric) and proximal (centromeric) critical regions, are sufficient to cause the majority of the recurrent clinical features, although with different facial features and dysmorphisms. SPEN encodes a transcriptional repressor commonly deleted in proximal del1p36 syndrome and is located centromeric to the proximal 1p36 critical region. Here, we used clinical data from 34 individuals…

0301 basic medicineSHARPMaleobesitygenotype-phenotype correlationsAutism Spectrum DisorderPROTEINChromosome DisordersHaploinsufficiencyRNA-Binding ProteinPHENOTYPE CORRELATIONS1p36; distal 1p36 deletion syndrome; DNA methylome analysis; episignature; genotype-phenotype correlations; neurodevelopmental disorder; obesity; proximal 1p36 deletion syndrome; SPEN; X chromosome; Adolescent; Autism Spectrum Disorder; Child; Child Preschool; Chromosome Deletion; Chromosome Disorders; Chromosomes Human Pair 1; Chromosomes Human X; DNA Methylation; DNA-Binding Proteins; Epigenesis Genetic; Female; Haploinsufficiency; Humans; Intellectual Disability; Male; Neurodevelopmental Disorders; Phenotype; RNA-Binding Proteins; Young AdultEpigenesis GeneticX chromosome0302 clinical medicineNeurodevelopmental disorderNeurodevelopmental DisorderIntellectual disabilityMOLECULAR CHARACTERIZATIONdistal 1p36 deletion syndromeChildGenetics (clinical)X chromosomeGeneticsXDNA methylome analysiRNA-Binding ProteinsSPLIT-ENDSHypotoniaDNA-Binding ProteinsPhenotypeAutism spectrum disorderChromosomes Human Pair 1Child PreschoolDNA methylome analysisMONOSOMY 1P36Pair 1SPENFemalemedicine.symptomChromosome DeletionHaploinsufficiencyRare cancers Radboud Institute for Health Sciences [Radboudumc 9]HumanAdolescentDNA-Binding ProteinBiologygenotype-phenotype correlationChromosomes03 medical and health sciencesYoung AdultGeneticSDG 3 - Good Health and Well-beingReportIntellectual DisabilityREVEALSGeneticsmedicineHumansEpigeneticsPreschoolChromosomes Human XNeurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]1p361p36 deletion syndromeIDENTIFICATIONMUTATIONSproximal 1p36 deletion syndromeDNA Methylationmedicine.diseaseneurodevelopmental disorderGENEepisignature030104 developmental biologyChromosome DisorderNeurodevelopmental Disorders030217 neurology & neurosurgeryEpigenesis
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Extinct type of human parvovirus B19 persists in tonsillar B cells

2017

Parvovirus B19 (B19V) DNA persists lifelong in human tissues, but the cell type harbouring it remains unclear. We here explore B19V DNA distribution in B, T and monocyte cell lineages of recently excised tonsillar tissues from 77 individuals with an age range of 2–69 years. We show that B19V DNA is most frequent and abundant among B cells, and within them we find a B19V genotype that vanished from circulation >40 years ago. Since re-infection or re-activation are unlikely with this virus type, this finding supports the maintenance of pathogen-specific humoral immune responses as a consequence of B-cell long-term survival rather than continuous replenishment of the memory pool. Moreover, we …

0301 basic medicineSYNOVIAL TISSUEvirusesPalatine TonsilGeneral Physics and AstronomyAntibodies ViralGenotypeINFECTIONParvovirus B19 HumanREAL-TIME PCRChildCells CulturedB-LymphocytesMultidisciplinarybiologyQcell type harbouringvirus diseasesU937 CellsMiddle Aged3. Good healthHUMAN ERYTHROVIRUSESsolutReal-time polymerase chain reactionmedicine.anatomical_structurePLASMA-CELLSChild PreschoolGENETIC DIVERSITYAntibodyAdultCell typeAdolescentGenotypeBONE-MARROWScience030106 microbiologyQUANTITATIVE PCRta3111ArticleGeneral Biochemistry Genetics and Molecular BiologyCell LineParvoviridae InfectionsYoung Adult03 medical and health sciencesImmune systemCell Line TumormedicineHumansAgedB cellsparvovirus B19ParvovirusMonocyteta1182General ChemistryDNAvirus typesbiology.organism_classificationVirologyCELLULAR CORECEPTOR030104 developmental biologyCell cultureDNA ViralImmunologybiology.proteincells3111 BiomedicineNature Communications
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Hot1 factor recruits co-activator Sub1 and elongation complex Spt4/5 to osmostress genes.

2016

Hyperosmotic stress response involves the adaptative mechanisms needed for cell survival. Under high osmolarity conditions, many stress response genes are activated by several unrelated transcription factors that are controlled by the Hog1 kinase. Osmostress transcription factor Hot1 regulates the expression of several genes involved in glycerol biosynthesis, and the presence of this transcription factor in their promoters is essential for RNApol II recruitment. The physical association between Hog1 and Hot1 activates this transcription factor and directs the RNA polymerase II localization at these promoters. We, herein, demonstrate that physical and genetic interactions exist between Hot1 …

0301 basic medicineSaccharomyces cerevisiae ProteinsChromosomal Proteins Non-HistoneResponse elementGenes FungalRNA polymerase IISaccharomyces cerevisiaeBiologyBiochemistry03 medical and health sciencesOpen Reading FramesOsmotic PressureRNA Processing Post-TranscriptionalPromoter Regions GeneticMolecular BiologyRNA polymerase II holoenzymeGeneticsGeneral transcription factorNuclear ProteinsPromoterCell BiologyDNA-Binding Proteins030104 developmental biologybiology.proteinTranscription factor II FTranscription factor II ETranscription factor II DTranscriptional Elongation FactorsProtein BindingTranscription FactorsThe Biochemical journal
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Asymmetric cell division requires specific mechanisms for adjusting global transcription

2017

Most cells divide symmetrically into two approximately identical cells. There are many examples, however, of asymmetric cell division that can generate sibling cell size differences. Whereas physical asymmetric division mechanisms and cell fate consequences have been investigated, the specific problem caused by asymmetric division at the transcription level has not yet been addressed. In symmetrically dividing cells the nascent transcription rate increases in parallel to cell volume to compensate it by keeping the actualmRNA synthesis rate constant. This cannot apply to the yeast Saccharomyces cerevisiae, where this mechanism would provoke a neverending increasing mRNA synthesis rate in sma…

0301 basic medicineSaccharomyces cerevisiae ProteinsTranscription GeneticCell divisionRNA StabilitySaccharomyces cerevisiaeSaccharomyces cerevisiaeCell fate determinationBiotecnologia03 medical and health sciences0302 clinical medicineRNA Polymerase ITranscription (biology)GeneticsAsymmetric cell divisionRNA MessengerCèl·lules DivisióMolecular BiologyCell SizeMessenger RNAbiologyCell CycleRNADNA-Directed RNA Polymerasesbiology.organism_classificationYeastCell biology030104 developmental biologyCell Division030217 neurology & neurosurgeryNucleic Acids Research
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Saliva: Its value as a biological matrix and current methods of sampling

2006

Saliva is a non-invasive medium, its analysis is useful to measure a wide range of hormones, drugs, narcotics, antibodies, host, microbial, fungal and viral DNA up to salivary mRNA; hence, it has been suggested to be an easy and reliable biomarker in disease diagnostics, such as inflammatory mouth infections/diseases, and in normal health surveillance. In light of this potential, our primary endpoint is to review the current knowledge on saliva analyses and its recent methods of sampling.

0301 basic medicineSalivabiologylcsh:RImmunologylcsh:MedicineSampling (statistics)030206 dentistryDiseaseMatrix (chemical analysis)03 medical and health sciencesBiomarker030104 developmental biology0302 clinical medicinestomatognathic systemImmunologybiology.proteinClinical endpointImmunology and AllergyAntibodyDna viral
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Technical Aspects for the Evaluation of Circulating Nucleic Acids (CNAs): Circulating Tumor DNA (ctDNA) and Circulating MicroRNAs

2017

Circulating nucleic acids (CNAs), for example, circulating tumor DNA (ctDNA) and circulating microRNA (miRNA), represent promising biomarkers in several diseases including cancer. They can be isolated from many body fluids, such as blood, saliva, and urine. Also ascites, cerebrospinal fluids, and pleural effusion may be considered as a source of CNAs, but with several and intrinsic limitations. Therefore, blood withdrawal represents one of the best sources for CNAs due to the very simple and minimally invasive way of sampling. Moreover, it can be repeated at different time points, giving the opportunity for a real-time monitoring of the disease.

0301 basic medicineSalivabusiness.industryCancerDiseaseCirculating Nucleic Acids CNAs Circulating Tumor DNA ctDNA Circulating MicroRNAs microRNAsmedicine.diseaseMany body03 medical and health sciencesCirculating MicroRNA030104 developmental biology0302 clinical medicineCirculating tumor DNA030220 oncology & carcinogenesismicroRNACancer researchmedicineNucleic acidbusiness
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TET3 prevents terminal differentiation of adult NSCs by a non-catalytic action at Snrpn.

2019

Ten-eleven-translocation (TET) proteins catalyze DNA hydroxylation, playing an important role in demethylation of DNA in mammals. Remarkably, although hydroxymethylation levels are high in the mouse brain, the potential role of TET proteins in adult neurogenesis is unknown. We show here that a non-catalytic action of TET3 is essentially required for the maintenance of the neural stem cell (NSC) pool in the adult subventricular zone (SVZ) niche by preventing premature differentiation of NSCs into non-neurogenic astrocytes. This occurs through direct binding of TET3 to the paternal transcribed allele of the imprinted gene Small nuclear ribonucleoprotein-associated polypeptide N (Snrpn), contr…

0301 basic medicineScienceCellular differentiationGeneral Physics and AstronomySubventricular zone02 engineering and technologyBiologyDNA-binding proteinArticleGeneral Biochemistry Genetics and Molecular BiologyCatalysissnRNP Core ProteinsDioxygenases03 medical and health sciencesMiceNeural Stem CellsLateral VentriclesProto-Oncogene ProteinsmedicineAnimalsRNA Small Interferinglcsh:SciencePsychological repressionreproductive and urinary physiologyMultidisciplinarySnRNP Core ProteinsQNeurogenesisBrainCell DifferentiationGeneral Chemistry021001 nanoscience & nanotechnologyNeural stem cellnervous system diseasesCell biologyDNA-Binding Proteins030104 developmental biologymedicine.anatomical_structurenervous systemAstrocyteslcsh:Qbiological phenomena cell phenomena and immunity0210 nano-technologyGenomic imprintingSignal Transduction
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Prediction of Chromatin Accessibility in Gene-Regulatory Regions from Transcriptomics Data

2017

AbstractThe epigenetics landscape of cells plays a key role in the establishment of cell-type specific gene expression programs characteristic of different cellular phenotypes. Different experimental procedures have been developed to obtain insights into the accessible chromatin landscape including DNase-seq, FAIRE-seq and ATAC-seq. However, current downstream computational tools fail to reliably determine regulatory region accessibility from the analysis of these experimental data. In particular, currently available peak calling algorithms are very sensitive to their parameter settings and show highly heterogeneous results, which hampers a trustworthy identification of accessible chromatin…

0301 basic medicineScienceComputational biologyRegulatory Sequences Nucleic AcidBiologycomputer.software_genreArticleEpigenesis Genetic03 medical and health sciencesDatabases GeneticHumansEpigeneticsComputational modelDeoxyribonucleasesMultidisciplinarySequence Analysis RNAGene Expression ProfilingDecision tree learningQRSequence Analysis DNAChromatinChromatinGene expression profilingIdentification (information)030104 developmental biologyGene Expression RegulationMedicineData miningPrecision and recallPeak callingcomputerAlgorithmsScientific reports
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