Search results for "genomic"

showing 10 items of 1737 documents

Different Within-Host Viral Evolution Dynamics in Severely Immunosuppressed Cases with Persistent SARS-CoV-2

2021

12 páginas, 2 figuras, 1 tabla.

0301 basic medicineQH301-705.5medicine.medical_treatment030106 microbiologyInmunologíaMedicine (miscellaneous)GenomicsSingle-nucleotide polymorphismDiseaseBiologyArticleGeneral Biochemistry Genetics and Molecular BiologyVirusdiversityPersistence03 medical and health sciencesmedicinegenomicsBiology (General)Evolutionary dynamicsimmunosuppressedDiversitySARS-CoV-2COVID-19ImmunosuppressionGenomicspersistencemedicine.diseaseVirologyviral viabilityLymphoma030104 developmental biologyImmunosuppressedViral evolutionViral viability
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The genetic architecture of low-temperature adaptation in the wine yeast Saccharomyces cerevisiae

2017

[Background] Low-temperature growth and fermentation of wine yeast can enhance wine aroma and make them highly desirable traits for the industry. Elucidating response to cold in Saccharomyces cerevisiae is, therefore, of paramount importance to select or genetically improve new wine strains. As most enological traits of industrial importance in yeasts, adaptation to low temperature is a polygenic trait regulated by many interacting loci.

0301 basic medicineQuantitative trait lociGenotype030106 microbiologyAroma of wineSaccharomyces cerevisiaeSaccharomyces cerevisiaeQuantitative trait locusBiologyEvolution Molecular03 medical and health sciencesQuantitative Trait HeritableGene FrequencyStress PhysiologicalGene Expression Regulation FungalGenetic variationGeneticsSubtelomeresAllelesGenetic Association StudiesPhylogenyGeneticsWineReciprocal hemizygosity analysisCold adaptationdigestive oral and skin physiologyChromosome Mappingfood and beveragesGenomicsbiology.organism_classificationAdaptation PhysiologicalIndustrial yeastGenetic architectureCold TemperatureYeast in winemaking030104 developmental biologyPhenotypeLipid asymmetryFermentationAdaptationGenome FungalResearch ArticleBiotechnology
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CoverageAnalyzer (CAn): A Tool for Inspection of Modification Signatures in RNA Sequencing Profiles

2016

Combination of reverse transcription (RT) and deep sequencing has emerged as a powerful instrument for the detection of RNA modifications, a field that has seen a recent surge in activity because of its importance in gene regulation. Recent studies yielded high-resolution RT signatures of modified ribonucleotides relying on both sequence-dependent mismatch patterns and reverse transcription arrests. Common alignment viewers lack specialized functionality, such as filtering, tailored visualization, image export and differential analysis. Consequently, the community will profit from a platform seamlessly connecting detailed visual inspection of RT signatures and automated screening for modifi…

0301 basic medicineRNA modifications; reverse transcription; reverse transcription (RT) signature; RNA sequencing (RNA-Seq); Next-Generation Sequencing (NGS); candidate screening; alignment viewerNext-Generation Sequencing (NGS)lcsh:QR1-502[ SDV.BBM.BM ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyBiologycomputer.software_genre01 natural sciencesBiochemistryField (computer science)Differential analysisDeep sequencinglcsh:MicrobiologyArticleWorld Wide Web03 medical and health sciencesUser-Computer InterfaceRNA modificationsRNA sequencing (RNA-Seq)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]candidate screeningMolecular BiologyComputingMilieux_MISCELLANEOUS010405 organic chemistrySequence Analysis RNAGene Expression ProfilingRNAComputational BiologyHigh-Throughput Nucleotide Sequencing[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyreverse transcription (RT) signaturereverse transcriptionFile formatalignment viewer0104 chemical sciencesVisualizationVisual inspection030104 developmental biology[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Data miningcomputerSoftwareBiomolecules
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New Insights into the Genome Organization of Yeast Killer Viruses Based on “Atypical” Killer Strains Characterized by High-Throughput Sequencing

2017

Viral M-dsRNAs encoding yeast killer toxins share similar genomic organization, but no overall sequence identity. The dsRNA full-length sequences of several known M-viruses either have yet to be completed, or they were shorter than estimated by agarose gel electrophoresis. High-throughput sequencing was used to analyze some M-dsRNAs previously sequenced by traditional techniques, and new dsRNAs from atypical killer strains of Saccharomyces cerevisiae and Torulaspora delbrueckii. All dsRNAs expected to be present in a given yeast strain were reliably detected and sequenced, and the previously-known sequences were confirmed. The few discrepancies between viral variants were mostly located aro…

0301 basic medicineRNA recombinationGenotypeHealth Toxicology and Mutagenesis030106 microbiologySaccharomyces cerevisiaelcsh:MedicineTorulaspora delbrueckiidsRNAGenome ViralSaccharomyces cerevisiaeToxicologyGenomeDNA sequencingArticle<i>Saccharomyces cerevisiae</i>; <i>Torulaspora delbrueckii</i>; killer; virus genome; dsRNA; sequencing; HTS; RNA recombination; phylogenetic originphylogenetic origin03 medical and health sciencesTorulaspora delbrueckiiGenomic organizationGeneticsbiologyPhylogenetic treelcsh:RHigh-Throughput Nucleotide SequencingTorulasporasequencingbiology.organism_classificationYeastTorulasporaKiller Factors Yeast030104 developmental biologyPhenotypevirus genomeVirusesRNA ViralHTSkillerToxins
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A Methodological Framework to Discover Pharmacogenomic Interactions Based on Random Forests

2021

The identification of genomic alterations in tumor tissues, including somatic mutations, deletions, and gene amplifications, produces large amounts of data, which can be correlated with a diversity of therapeutic responses. We aimed to provide a methodological framework to discover pharmacogenomic interactions based on Random Forests. We matched two databases from the Cancer Cell Line Encyclopaedia (CCLE) project, and the Genomics of Drug Sensitivity in Cancer (GDSC) project. For a total of 648 shared cell lines, we considered 48,270 gene alterations from CCLE as input features and the area under the dose-response curve (AUC) for 265 drugs from GDSC as the outcomes. A three-step reduction t…

0301 basic medicineRandom ForestsPharmacogenomic Variantsdrug responseGenomicsComputational biologycell linesBiologyQH426-470Article03 medical and health sciences0302 clinical medicineNeoplasmsDrug responseGeneticsHumanscancerGene Regulatory Networksgenomic alterationGenetics (clinical)Random Forestcell linegenomic alterationsTumor tissueRandom forestpharmacogenomic interactions030104 developmental biologyConcordance correlation coefficientDrug Resistance Neoplasm030220 oncology & carcinogenesisPharmacogenomicsIdentification (biology)pharmacogenomic interactions.Cancer cell linesAlgorithmsGenome-Wide Association StudyGenes
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2018

A broad molecular framework of how neural stem cells are specified toward astrocyte fate during brain development has proven elusive. Here we perform comprehensive and integrated transcriptomic and epigenomic analyses to delineate gene regulatory programs that drive the developmental trajectory from mouse embryonic stem cells to astrocytes. We report molecularly distinct phases of astrogliogenesis that exhibit stage- and lineage-specific transcriptomic and epigenetic signatures with unique primed and active chromatin regions, thereby revealing regulatory elements and transcriptional programs underlying astrocyte generation and maturation. By searching for transcription factors that function…

0301 basic medicineRegulation of gene expressionCell BiologyBiologyNeural stem cellChromatinCell biology03 medical and health sciencesAstrocyte differentiation030104 developmental biologyNFIAGeneticsMolecular MedicineEpigeneticsTranscription factorEpigenomicsCell Stem Cell
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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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Oxidative stress in the oral cavity is driven by individualspecific bacterial communities

2018

The term “bacterial dysbiosis” is being used quite extensively in metagenomic studies, however, the identification of harmful bacteria often fails due to large overlap between the bacterial species found in healthy volunteers and patients. We hypothesized that the pathogenic oral bacteria are individual-specific and they correlate with oxidative stress markers in saliva which reflect the inflammatory processes in the oral cavity. Temporally direct and lagged correlations between the markers and bacterial taxa were computed individually for 26 volunteers who provided saliva samples during one month (21.2 ± 2.7 samples/volunteer, 551 samples in total). The volunteers’ microbiomes differed sig…

0301 basic medicineSalivaACID REACTING SUBSTANCES030106 microbiologyPhysiologyDiseasemedicine.disease_causeApplied Microbiology and BiotechnologyMicrobiologylcsh:Microbial ecologyArticle03 medical and health sciencesmedicineMicrobiomeGENE-EXPRESSIONTOTAL ANTIOXIDANT CAPACITYScience & TechnologyDENTAL-CARIESPLASMASTABILITYbiologybiology.organism_classificationmedicine.diseaseSALIVARY MARKERSSTREPTOCOCCUS-MUTANSStreptococcus mutansMICROBIOME030104 developmental biologyBiotechnology & Applied MicrobiologyMetagenomicslcsh:QR100-130Life Sciences & BiomedicineDysbiosisRESISTANCEBacteriaOxidative stressBiotechnology
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Health and Disease Imprinted in the Time Variability of the Human Microbiome

2017

The human microbiota correlates closely with the health status of its host. This article analyzes the microbial composition of several subjects under different conditions over time spans that ranged from days to months. Using the Langevin equation as the basis of our mathematical framework to evaluate microbial temporal stability, we proved that stable microbiotas can be distinguished from unstable microbiotas. This initial step will help us to determine how temporal microbiota stability is related to a subject’s health status and to develop a more comprehensive framework that will provide greater insight into this complex system.

0301 basic medicineScaling lawPhysiologySystems biologyPopulationlcsh:QR1-502microbiomeDiseaseGut floraBiochemistryMicrobiologylcsh:MicrobiologyHost-Microbe Biology03 medical and health sciences0302 clinical medicineGeneticsMicrobiomeeducationMolecular BiologyEcology Evolution Behavior and Systematicseducation.field_of_studymetagenomicsbiologyHuman microbiomesystems biologystabilitybiology.organism_classificationEditor's PickQR1-502Computer Science Applications030104 developmental biologyEvolutionary biologyMetagenomicsModeling and Simulationecological modeling030217 neurology & neurosurgeryResearch ArticlemSystems
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