Search results for "Pig"

showing 10 items of 2235 documents

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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Limited antibody specificity compromises epitranscriptomic analyses

2019

International audience; A controversial discussion on the occurrence of the RNA modification m1A in mRNA takes a new turn, as an antibody with a central role in modification mapping was shown to also bind mRNA cap structures.

0301 basic medicineScienceGeneral Physics and Astronomy02 engineering and technologyPlasma protein bindingAntibodiesGeneral Biochemistry Genetics and Molecular BiologyEpigenesis GeneticTranscriptome03 medical and health sciencesAntibody Specificity[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]AnimalsHumansRNA Messengerlcsh:ScienceEpigenesisRegulation of gene expressionMessenger RNAMultidisciplinarybiologyCommentQRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral ChemistryDNA MethylationRNA modification021001 nanoscience & nanotechnologyCell biology030104 developmental biologyGene Expression RegulationDNA methylationbiology.proteinRNAlcsh:QAntibodyTranscriptome0210 nano-technologyProtein Binding
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The SCO1731 methyltransferase modulates actinorhodin production and morphological differentiation of Streptomyces coelicolor A3(2)

2018

AbstractStreptomyces coelicolor is a Gram-positive microorganism often used as a model of physiological and morphological differentiation in streptomycetes, prolific producers of secondary metabolites with important biological activities. In the present study, we analysed Streptomyces coelicolor growth and differentiation in the presence of the hypo-methylating agent 5′-aza-2′-deoxycytidine (5-aza-dC) in order to investigate whether cytosine methylation has a role in differentiation. We found that cytosine demethylation caused a delay in spore germination, aerial mycelium development, sporulation, as well as a massive impairment of actinorhodin production. Thus, we searched for putative DNA…

0301 basic medicineScienceMutantAnthraquinonesStreptomyces coelicolorDecitabineSettore BIO/19 - Microbiologia GeneraleDNA methyltransferaseArticleActinorhodin03 medical and health scienceschemistry.chemical_compoundBacterial ProteinsSpore germinationSpores BacterialRegulation of gene expressionMultidisciplinaryMyceliumbiologyStreptomyces coelicolorfungiQRActinorhodin ProductionCell DifferentiationGene Expression Regulation BacterialMethyltransferasesbiology.organism_classificationTn5 Mutant Strains030104 developmental biologychemistryBiochemistryHypomethylating AgentsStreptomyces coelicolor bacterial differentiation epigenetic cytosine methylationDNA methylationMedicineCytosineCytosine Methylation
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Gene expression changes after parental exposure to metals in the sea urchin affect timing of genetic programme of embryo development

2021

Simple Summary Intergenerational and transgenerational effects, in which exposure to stressors in a parental generation affects the phenotype of the offspring have been connected to anthropic impacts on biological systems. Therefore, environmental stress experienced inside a generation, particularly during gametogenesis, may lead to erroneous patterns in their offspring just emerging at early developmental stages. In this scenario, the sea urchin embryo represents a suitable model for integrating analyses of gene expression through embryogenesis with developmental alteration induced by environmental stressors. Herein we provide pieces of evidence for the alteration of the gene regulatory ne…

0301 basic medicineSea urchinanimal structuresOffspringIntergenerational effectsSettore BIO/11 - Biologia Molecolare010501 environmental sciencesEmbryo development01 natural sciencesArticleGeneral Biochemistry Genetics and Molecular BiologyAndrology03 medical and health sciencesbiology.animalGene expressionParental exposureEpigeneticslcsh:QH301-705.5GeneSea urchin0105 earth and related environmental sciencesGeneral Immunology and MicrobiologybiologyEmbryogenesisEmbryoPhenotype030104 developmental biologyGene expression profileslcsh:Biology (General)embryonic structuressea urchin; redox homeostasis; parental exposure; intergenerational effects; embryo development; gene expression profilesGeneral Agricultural and Biological SciencesEmbryo development Gene expression profiles Intergenerational effects Parental exposure Redox homeostasis Sea urchinRedox homeostasis
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Diagnostic and Prognostic Relevance of Red Blood Cell Distribution Width for Vascular Aging and Cardiovascular Diseases.

2019

Evidence suggests association of red blood cell distribution width (RDW) with cardiovascular diseases (CVDs). On the contrary, we underline that the sole RDW values cannot represent a valid CVD biomarker. High RDW values are expression of biological effects of a lot of both endogenous and exogenous factors (i.e., age, sex, genetic background, inflammation, hormones, drugs, diet, exercise, hematological analyzers, and ranges of values), modulating the biology and physiology of erythrocytes. Thus, the singular monitoring of RDW cannot be used to predict cardiovascular disorders. Accordingly, we have reviewed the evidence for potential relationship of RDW values with alterations in the cardiov…

0301 basic medicineSenescenceErythrocyte Indicescirculating endothelial progenitor cells and nucleated red blood cellAgingleukocyte telomere lengthsInflammationDiseaseBioinformaticsEpigenesis Geneticleukocyte telomere length03 medical and health sciencesCVDs; RDW; circulating endothelial progenitor cells and nucleated red blood cells; leukocyte telomere lengths; vascular aging; Aging; Biomarkers; Cardiovascular Diseases; Epigenesis Genetic; Humans; Prognosis; Erythrocyte Indices0302 clinical medicineGeneticmedicineRDW; CVDs; vascular ageing; leukocyte telomere lengths; circulating endothelial progenitor cells and nucleated red blood cells.Settore MED/05 - Patologia ClinicaRDWHumansCVDsProgenitor cellvascular ageingbusiness.industryNucleated Red Blood CellRed blood cell distribution widthCVDPrognosisSettore MED/23030104 developmental biologyvascular agingCardiovascular DiseasesBiomarker (medicine)Geriatrics and Gerontologymedicine.symptombusiness030217 neurology & neurosurgerycirculating endothelial progenitor cells and nucleated red blood cellsBiomarkersHormoneEpigenesisRejuvenation research
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Oxidative stress, autophagy, epigenetic changes and regulation by miRNAs as potential therapeutic targets in osteoarthritis

2015

Aging is a natural process characterized by the declining ability of the different organs and tissues to respond to stress, increasing homeostatic imbalance and risk of disease. Osteoarthritis (OA) is a multifactorial disease in which cartilage degradation is a central feature. Aging is the main risk factor for OA. In OA cartilage, a decrease in the number of chondrocytes and in their ability to regenerate the extracellular matrix and adequately respond to stress has been described. OA chondrocytes show a senescence secretory phenotype (SSP) consisting on the overproduction of cytokines (interleukins 1 and 6), growth factors (e.g., epidermal growth factor) and matrix metalloproteinases (MMP…

0301 basic medicineSenescenceMAPK/ERK pathwayAgingProgrammed cell deathDNA damageBiologymedicine.disease_causeBiochemistryChondrocyteEpigenesis Genetic03 medical and health sciencesChondrocytesOsteoarthritisAutophagymedicineAnimalsHumansMolecular Targeted TherapyEpigeneticsCellular SenescencePharmacologyAutophagyDNA MethylationCell biologyMicroRNAsOxidative Stress030104 developmental biologymedicine.anatomical_structureImmunologyReactive Oxygen SpeciesOxidative stressDNA DamageBiochemical Pharmacology
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Extracellular vesicles and redox modulation in aging

2019

Extracellular vesicles (EVs) are nowadays known to be mediators of cell-to-cell communication involved in physiological and pathological processes. The current expectation is their use as specific biomarkers and therapeutic tools due to their inner characteristics. However, several investigations still need to be done before we can use them in the clinic. First, their categorization is still under debate, although an accurate classification of EVs subtypes should be based on physical characteristics, biochemical composition or condition description of the cell of origin. Second, EVs carry lipids, proteins and nucleic acids that can induce epigenetic modifications on target cells. These carg…

0301 basic medicineSenescenceRedox modulationCell CommunicationOxidative phosphorylationBiologymedicine.disease_causeBiochemistryExtracellular vesiclesRedox statusCell biologyExtracellular Vesicles03 medical and health sciences030104 developmental biology0302 clinical medicinePhysiology (medical)medicineProspective StudiesEpigeneticsOxidation-Reduction030217 neurology & neurosurgeryBiogenesisOxidative stressFree Radical Biology and Medicine
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Variable Ranking Feature Selection for the Identification of Nucleosome Related Sequences

2018

Several recent works have shown that K-mer sequence representation of a DNA sequence can be used for classification or identification of nucleosome positioning related sequences. This representation can be computationally expensive when k grows, making the complexity in spaces of exponential dimension. This issue effects significantly the classification task computed by a general machine learning algorithm used for the purpose of sequence classification. In this paper, we investigate the advantage offered by the so-called Variable Ranking Feature Selection method to select the most informative k − mers associated to a set of DNA sequences, for the final purpose of nucleosome/linker classifi…

0301 basic medicineSequenceSettore INF/01 - InformaticaEpigenomic030102 biochemistry & molecular biologybusiness.industryComputer scienceDeep learningPattern recognitionFeature selectionDNA sequencesNucleosomesRanking (information retrieval)Set (abstract data type)03 medical and health sciencesVariable (computer science)030104 developmental biologyDimension (vector space)Feature selectionDeep learning modelsArtificial intelligenceDeep learning models Feature selection DNA sequences Epigenomic NucleosomesRepresentation (mathematics)business
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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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