Search results for "CHROMATIN"

showing 10 items of 490 documents

Functional impacts of 5-hydroxymethylcytosine, 5-formylcytosine, and 5-carboxycytosine at a single hemi-modified CpG dinucleotide in a gene promoter

2017

Abstract Enzymatic oxidation of 5-methylcytosine (5-mC) in the CpG dinucleotides to 5-hydroxymethylcytosine (5-hmC), 5-formylcytosine (5-fC) and 5-carboxycytosine (5-caC) has central role in the process of active DNA demethylation and epigenetic reprogramming in mammals. However, it is not known whether the 5-mC oxidation products have autonomous epigenetic or regulatory functions in the genome. We used an artificial upstream promoter constituted of one cAMP response element (CRE) to measure the impact of 5-mC in a hemi-methylated CpG on the promoter activity and further explored the consequences of 5-hmC, 5-fC, and 5-caC in the same system. All modifications induced mild impairment of the …

0301 basic medicineResponse elementCREB03 medical and health sciencesCytosine0302 clinical medicineGeneticsAnimalsHumansCyclic AMP Response Element-Binding ProteinPromoter Regions GeneticRegulation of gene expressionbiologyBase SequenceGene regulation Chromatin and EpigeneticsPromoterDNADNA MethylationThymine DNA GlycosylaseCell biology030104 developmental biologyDNA demethylationCpG siteGene Expression RegulationDNA glycosylaseDNA methylationbiology.protein5-MethylcytosineCpG Islands030217 neurology & neurosurgeryProtein BindingNucleic Acids Research
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DICER- and MMSET-catalyzed H4K20me2 recruits the nucleotide excision repair factor XPA to DNA damage sites

2017

The endoribonuclease DICER facilitates chromatin decondensation during lesion recognition following UV exposure. Chitale and Richly show that DICER mediates the recruitment of the methyltransferase MMSET, which catalyzes the dimethylation of histone H4 at lysine 20 and facilitates the recruitment of the nucleotide excision repair factor XPA.

0301 basic medicineRibonuclease IIIDNA RepairDNA damageDNA repairUltraviolet Raysgenetic processes27Article24DEAD-box RNA HelicasesHistones03 medical and health sciencesCell Line TumorHumansResearch ArticlesbiologyLysinefungiEndoribonuclease Dicerfood and beverages37Cell BiologyDNA Repair PathwayHistone-Lysine N-MethyltransferaseCell biologyChromatinXeroderma Pigmentosum Group A ProteinRepressor Proteinsenzymes and coenzymes (carbohydrates)030104 developmental biologyHistoneHEK293 Cellsbiology.proteinBiocatalysisDicerNucleotide excision repairDNA DamageThe Journal of Cell Biology
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The ribosome assembly gene network is controlled by the feedback regulation of transcription elongation

2017

Ribosome assembly requires the concerted expression of hundreds of genes, which are transcribed by all three nuclear RNA polymerases. Transcription elongation involves dynamic interactions between RNA polymerases and chromatin. We performed a synthetic lethal screening in Saccharomyces cerevisiae with a conditional allele of SPT6, which encodes one of the factors that facilitates this process. Some of these synthetic mutants corresponded to factors that facilitate pre-rRNA processing and ribosome biogenesis. We found that the in vivo depletion of one of these factors, Arb1, activated transcription elongation in the set of genes involved directly in ribosome assembly. Under these depletion c…

0301 basic medicineRibosomal ProteinsSaccharomyces cerevisiae ProteinsTranscription Elongation GeneticCèl·lulesÀcids nucleicsGene regulatory networkRibosome biogenesisSaccharomyces cerevisiaeBiologyRibosome assembly03 medical and health sciencesRegulació genèticaGeneticsGene Regulatory NetworksHistone ChaperonesRNA Processing Post-TranscriptionalGeneAdenosine TriphosphatasesFeedback PhysiologicalMessenger RNAOrganelle BiogenesisGene regulation Chromatin and EpigeneticsRNAChromatinCell biology030104 developmental biologyRNA RibosomalMutationATP-Binding Cassette TransportersOrganelle biogenesisTranscriptional Elongation FactorsSynthetic Lethal MutationsTranscriptomeRibosomes
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The cellular growth rate controls overall mRNA turnover, and modulates either transcription or degradation rates of particular gene regulons

2015

We analyzed 80 different genomic experiments, and found a positive correlation between both RNA polymerase II transcription and mRNA degradation with growth rates in yeast. Thus, in spite of the marked variation in mRNA turnover, the total mRNA concentration remained approximately constant. Some genes, however, regulated their mRNA concentration by uncoupling mRNA stability from the transcription rate. Ribosome-related genes modulated their transcription rates to increase mRNA levels under fast growth. In contrast, mitochondria-related and stress-induced genes lowered mRNA levels by reducing mRNA stability or the transcription rate, respectively. We also detected these regulations within th…

0301 basic medicineSaccharomyces cerevisiae ProteinsTranscription GeneticRNA StabilityPopulationRNA polymerase IIRNA-binding proteinSaccharomyces cerevisiaeChromatin and EpigeneticsRegulonGenètica molecular03 medical and health sciencesTranscripció genèticaTranscription (biology)GeneticsGene RegulationRNA MessengereducationGeneRegulation of gene expressionGeneticsMessenger RNAeducation.field_of_studyOrganelle BiogenesisbiologyGene regulation Chromatin and EpigeneticsRNA-Binding ProteinsRNAGenes rRNACell biologyGenes Mitochondrial030104 developmental biologyGene Expression Regulationbiology.proteinRNARibosomes
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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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A Deep Learning Model for Epigenomic Studies

2016

Epigenetics is the study of heritable changes in gene expression that does not involve changes to the underlying DNA sequence, i.e. a change in phenotype not involved by a change in genotype. At least three main factor seems responsible for epigenetic change including DNA methylation, histone modification and non-coding RNA, each one sharing having the same property to affect the dynamic of the chromatin structure by acting on Nucleosomes posi- tion. A nucleosome is a DNA-histone complex, where around 150 base pairs of double-stranded DNA is wrapped. The role of nucleosomes is to pack the DNA into the nucleus of the Eukaryote cells, to form the Chromatin. Nucleosome positioning plays an imp…

0301 basic medicineSettore INF/01 - InformaticabiologyBase pairdeep learningGenomicsComputational biologyBioinformaticsChromatin03 medical and health sciences030104 developmental biologyHistoneclassificationDNA methylationbiology.proteinNucleosomeEpigeneticsnucleosome positioningEpigenomics2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Recurrent Deep Neural Networks for Nucleosome Classification

2020

Nucleosomes are the fundamental repeating unit of chromatin. A nucleosome is an 8 histone proteins complex, in which approximately 147–150 pairs of DNA bases bind. Several biological studies have clearly stated that the regulation of cell type-specific gene activities are influenced by nucleosome positioning. Bioinformatic studies have improved those results showing proof of sequence specificity in nucleosomes’ DNA fragment. In this work, we present a recurrent neural network that uses nucleosome sequence features representation for their classification. In particular, we implement an architecture which stacks convolutional and long short-term memory layers, with the main purpose to avoid t…

0301 basic medicineSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaComputer scienceComputational biologyChromatin03 medical and health scienceschemistry.chemical_compound030104 developmental biologyHistoneRecurrent neural networkchemistryFragment (logic)biology.proteinNucleosomeNucleosome classification Epigenetic Deep learning networks Recurrent Neural NetworksGeneDNASequence (medicine)
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Super-resolution binding activated localization microscopy through reversible change of DNA conformation

2018

ABSTRACT Methods of super-resolving light microscopy (SRM) have found an exponentially growing range of applications in cell biology, including nuclear structure analyses. Recent developments have proven that Single Molecule Localization Microscopy (SMLM), a type of SRM, is particularly useful for enhanced spatial analysis of the cell nucleus due to its highest resolving capability combined with very specific fluorescent labeling. In this commentary we offer a brief review of the latest methodological development in the field of SMLM of chromatin designated DNA Structure Fluctuation Assisted Binding Activated Localization Microscopy (abbreviated as fBALM) as well as its potential future app…

0301 basic medicineSingle molecule localization03 medical and health scienceschemistry.chemical_compound0302 clinical medicinesuper-resolution microscopyMicroscopyfBALMmedicineSMLMsingle molecule localizationCell NucleusBinding SitesSuper-resolution microscopyExtra ViewnucleusDNACell BiologySuperresolutionSingle Molecule ImagingChromatinfBALM SMLMCell nucleus030104 developmental biologymedicine.anatomical_structurechemistry030220 oncology & carcinogenesisBiophysicschromatinNucleic Acid ConformationNucleusDNANucleus
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Evidence for the implication of the histone code in building the genome structure

2018

International audience; Histones are punctuated with small chemical modifications that alter their interaction with DNA. One attractive hypothesis stipulates that certain combinations of these histone modifications may function, alone or together, as a part of a predictive histone code to provide ground rules for chromatin folding. We consider four features that relate histone modifications to chromatin folding: charge neutralisation, molecular specificity, robustness and evolvability. Next, we present evidence for the association among different histone modifications at various levels of chromatin organisation and show how these relationships relate to function such as transcription, repli…

0301 basic medicineStatistics and ProbabilityComputational biologyGeneral Biochemistry Genetics and Molecular BiologyHistones03 medical and health scienceschemistry.chemical_compoundTranscription (biology)AnimalsHumansHistone codeNucleosome[PHYS]Physics [physics]biologyGenome HumanApplied MathematicsRobustness (evolution)General MedicineChromatinChromatinHistone Code030104 developmental biologyHistonechemistryModeling and Simulationbiology.proteinHuman genomeDNABiosystems
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The intrinsic combinatorial organization and information theoretic content of a sequence are correlated to the DNA encoded nucleosome organization of…

2015

Abstract Motivation: Thanks to research spanning nearly 30 years, two major models have emerged that account for nucleosome organization in chromatin: statistical and sequence specific. The first is based on elegant, easy to compute, closed-form mathematical formulas that make no assumptions of the physical and chemical properties of the underlying DNA sequence. Moreover, they need no training on the data for their computation. The latter is based on some sequence regularities but, as opposed to the statistical model, it lacks the same type of closed-form formulas that, in this case, should be based on the DNA sequence only. Results: We contribute to close this important methodological gap …

0301 basic medicineStatistics and ProbabilityNucleosome organizationComputational biologyBiologyType (model theory)BiochemistryGenomeDNA sequencing03 medical and health sciencesComputational Theory and MathematicNucleosomeMolecular BiologySequence (medicine)GeneticsGenomeSettore INF/01 - InformaticaEukaryotaComputer Science Applications1707 Computer Vision and Pattern RecognitionStatistical modelDNAChromatinNucleosomesComputer Science ApplicationsChromatinSettore BIO/18 - GeneticaComputational Mathematics030104 developmental biologyComputational Theory and MathematicsComputational MathematicBioinformatics
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