Search results for "Genome Expression Analysis"

showing 10 items of 14 documents

Genome-Wide Haplotype Analysis of Cis Expression Quantitative Trait Loci in Monocytes

2013

In order to assess whether gene expression variability could be influenced by several SNPs acting in cis, either through additive or more complex haplotype effects, a systematic genome-wide search for cis haplotype expression quantitative trait loci (eQTL) was conducted in a sample of 758 individuals, part of the Cardiogenics Transcriptomic Study, for which genome-wide monocyte expression and GWAS data were available. 19,805 RNA probes were assessed for cis haplotypic regulation through investigation of ∼2,1×109 haplotypic combinations. 2,650 probes demonstrated haplotypic p-values >104-fold smaller than the best single SNP p-value. Replication of significant haplotype effects were tested f…

Cancer Researchmedicine.medical_specialtyHereditylcsh:QH426-470Immune Cells[SDV]Life Sciences [q-bio]Quantitative Trait LociImmunologyGene ExpressionGenome-wide association studySingle-nucleotide polymorphismQuantitative trait locusBiologyRegulatory Sequences Nucleic AcidPolymorphism Single NucleotideMonocytes03 medical and health sciences0302 clinical medicineMolecular geneticsmedicineGeneticsGenome-Wide Association StudiesSNPHumansGenetic Predisposition to DiseaseMolecular BiologyBiologyGenetics (clinical)Ecology Evolution Behavior and Systematics030304 developmental biologyGenetics0303 health sciencesQuantitative TraitsComplex TraitsHaplotypeGenomicslcsh:GeneticsGene Expression RegulationHaplotypesExpression quantitative trait lociGenome Expression Analysis030217 neurology & neurosurgeryImputation (genetics)Population GeneticsGenome-Wide Association StudyResearch Article
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Metatranscriptomic Approach to Analyze the Functional Human Gut Microbiota

2011

The human gut is the natural habitat for a large and dynamic bacterial community that has a great relevance for health. Metagenomics is increasing our knowledge of gene content as well as of functional and genetic variability in this microbiome. However, little is known about the active bacteria and their function(s) in the gastrointestinal tract. We performed a metatranscriptomic study on ten healthy volunteers to elucidate the active members of the gut microbiome and their functionality under conditions of health. First, the microbial cDNAs obtained from each sample were sequenced using 454 technology. The analysis of 16S transcripts showed the phylogenetic structure of the active microbi…

DNA Complementarylcsh:MedicineGastroenterology and HepatologyGut floraPrevotellaceaeMicrobiologyMicrobiologyMicrobial EcologyMicrobial PhysiologyRNA Ribosomal 16SHumansMicrobiomeRNA Messengerlcsh:ScienceGeneBacteroidaceaeBiologyGeneticsMultidisciplinarybiologyBacteriaGene Expression ProfilingLachnospiraceaelcsh:RComputational BiologyGenomicsBiodiversitySequence Analysis DNAbiology.organism_classificationGastrointestinal TractMetagenomicsMedicineSmall IntestineMetagenomelcsh:QMetagenomicsGenome Expression AnalysisRuminococcaceaeResearch ArticlePLoS ONE
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Defining the genomic signature of totipotency and pluripotency during early human development.

2013

The genetic mechanisms governing human pre-implantation embryo development and the in vitro counterparts, human embryonic stem cells (hESCs), still remain incomplete. Previous global genome studies demonstrated that totipotent blastomeres from day-3 human embryos and pluripotent inner cell masses (ICMs) from blastocysts, display unique and differing transcriptomes. Nevertheless, comparative gene expression analysis has revealed that no significant differences exist between hESCs derived from blastomeres versus those obtained from ICMs, suggesting that pluripotent hESCs involve a new developmental progression. To understand early human stages evolution, we developed an undifferentiation netw…

EmbryologyBlastomeresMicroarraysCellular differentiationGene ExpressionCell Fate DeterminationMolecular Cell BiologyGene Regulatory NetworksInduced pluripotent stem cellreproductive and urinary physiologyGeneticsMultidisciplinarySystems BiologyStem CellsQTotipotentRGenomic signatureCell DifferentiationGenomicsCell biologyFunctional GenomicsBlastocyst Inner Cell MassBlastocyst Inner Cell Massembryonic structuresMedicineResearch ArticlePluripotent Stem CellsSystems biologyCell PotencyScienceEmbryonic DevelopmentBiologyMolecular GeneticsGeneticsHumansGene NetworksBiologyEmbryonic Stem CellsGenome HumanGene Expression ProfilingBio-OntologiesComputational BiologyMolecular Sequence AnnotationComparative GenomicsMolecular DevelopmentEmbryonic stem cellSignalingSignaling NetworksGene expression profilingGenome Expression AnalysisTotipotent Stem CellsDevelopmental BiologyPLoS ONE
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Phylogeography of a Habitat Specialist with High Dispersal Capability: The Savi’s Warbler Locustella luscinioides

2012

In order to describe the influence of Pleistocene glaciations on the genetic structure and demography of a highly mobile, but specialized, passerine, the Savi's Warbler (Locustella luscinioides), mitochondrial DNA sequences (ND2) and microsatellites were analysed in c.330 individuals of 17 breeding and two wintering populations. Phylogenetic, population genetics and coalescent methods were used to describe the genetic structure, determine the timing of the major splits and model the demography of populations. Savi's Warblers split from its sister species c.8 million years ago and have two major haplotype groups that diverged in the early/middle Pleistocene. One of these clades originated in…

Evolutionary Genetics0106 biological sciencesAnimal EvolutionPopulation Dynamicslcsh:MedicinePopulation genetics01 natural sciencesCoalescent theoryWarblerSongbirdslcsh:ScienceGenome EvolutionPhylogenyLikelihood FunctionsPrincipal Component Analysis0303 health scienceseducation.field_of_studyMultidisciplinarybiologyGenomicsEuropePhylogeographyGenetic structureResearch ArticleGene FlowMolecular Sequence DataPopulationDNA Mitochondrial010603 evolutionary biology03 medical and health sciencesAnimalsEvolutionary SystematicseducationBiologyEcosystemDemography030304 developmental biologyAnalysis of VarianceEvolutionary BiologyBase SequenceModels Geneticlcsh:RComputational BiologyLocustella luscinioidesBayes TheoremSequence Analysis DNAbiology.organism_classificationOrganismal EvolutionPhylogeographyGenetics PopulationHaplotypesEvolutionary biologyBiological dispersallcsh:QAnimal MigrationGenome Expression AnalysisPopulation GeneticsMicrosatellite RepeatsPLoS ONE
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Heat shock response in yeast involver changes in both transcription rates and mRNA stabilities

2011

We have analyzed the heat stress response in the yeast Saccharomyces cerevisiae by determining mRNA levels and transcription rates for the whole transcriptome after a shift from 25uC to 37uC. Using an established mathematical algorithm, theoretical mRNA decay rates have also been calculated from the experimental data. We have verified the mathematical predictions for selected genes by determining their mRNA decay rates at different times during heat stress response using the regulatable tetO promoter. This study indicates that the yeast response to heat shock is not only due to changes in transcription rates, but also to changes in the mRNA stabilities. mRNA stability is affected in 62% of …

Llevat de cervesaTranscription GeneticEstrès oxidatiuRNA StabilitySaccharomyces cerevisiaeGene Expressionlcsh:MedicineYeast and Fungal ModelsRNA-binding proteinSaccharomyces cerevisiaeModels BiologicalGenètica molecularModel OrganismsTranscripció genèticaGenome Analysis ToolsTranscription (biology)Gene Expression Regulation FungalYeastsHeat shock proteinMolecular Cell BiologyGeneticsCluster AnalysisRNA MessengerHeat shocklcsh:ScienceBiologyGeneTranscription factorHeat-Shock ProteinsMultidisciplinaryBase SequenceOrganisms Genetically ModifiedbiologySystems Biologylcsh:RRNA FungalLlevats -- GenèticaGenomicsbiology.organism_classificationMolecular biologyFunctional GenomicsCell biologyRegulonRNAlcsh:QGenome Expression AnalysisHeat-Shock ResponseResearch ArticleTranscription Factors
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Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.

2011

One major expectation from the transcriptome in humans is to characterize the biological basis of associations identified by genome-wide association studies. So far, few cis expression quantitative trait loci (eQTLs) have been reliably related to disease susceptibility. Trans-regulating mechanisms may play a more prominent role in disease susceptibility. We analyzed 12,808 genes detected in at least 5% of circulating monocyte samples from a population-based sample of 1,490 European unrelated subjects. We applied a method of extraction of expression patterns—independent component analysis—to identify sets of co-regulated genes. These patterns were then related to 675,350 SNPs to identify maj…

MaleCancer ResearchGene ExpressionGenome-wide association studyGenetic NetworksCoronary Artery Disease[SDV.GEN] Life Sciences [q-bio]/GeneticsCardiovascularMESH: MonocytesMonocytesMESH: HypertensionTranscriptomes0302 clinical medicineMESH: ProteinsMESH: Genetic VariationGenetics (clinical)GeneticsMESH: Aged0303 health scienceseducation.field_of_studyMESH: Middle AgedMESH: Polymorphism Single NucleotideIntracellular Signaling Peptides and ProteinsMESH: Genetic Predisposition to DiseaseGenomicsMESH: Transcription FactorsMiddle AgedMESH: Ribosomal ProteinsMESH: Gene Expression Regulation3. Good healthHypertensionMedicineFemaleMESH: Diabetes Mellitus Type 1Research ArticleAdultRibosomal Proteinslcsh:QH426-470PopulationQuantitative Trait LociLocus (genetics)Single-nucleotide polymorphismBiologyQuantitative trait locusPolymorphism Single Nucleotide03 medical and health sciencesMESH: Gene Expression ProfilingGenome Analysis ToolsGeneticsGenome-Wide Association StudiesHumansGenetic Predisposition to DiseaseGene NetworkseducationMolecular BiologyBiologyEcology Evolution Behavior and SystematicsMESH: Genome Human030304 developmental biologyGenetic associationAdaptor Proteins Signal TransducingAged[SDV.GEN]Life Sciences [q-bio]/GeneticsMESH: HumansGenome HumanGene Expression ProfilingGenetic VariationProteinsHuman GeneticsMESH: AdultAtherosclerosisMESH: MaleMESH: Quantitative Trait LociGene expression profilingCeliac Diseaselcsh:GeneticsDiabetes Mellitus Type 1Gene Expression RegulationExpression quantitative trait lociGenetics of DiseaseMESH: Genome-Wide Association StudyMESH: MuramidaseMuramidaseGenome Expression AnalysisMESH: Female030217 neurology & neurosurgeryMESH: Celiac DiseaseGenome-Wide Association StudyTranscription Factors
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Comprehensive exploration of the effects of miRNA SNPs on monocyte gene expression.

2012

We aimed to assess whether pri-miRNA SNPs (miSNPs) could influence monocyte gene expression, either through marginal association or by interacting with polymorphisms located in 3'UTR regions (3utrSNPs). We then conducted a genome-wide search for marginal miSNPs effects and pairwise miSNPs × 3utrSNPs interactions in a sample of 1,467 individuals for which genome-wide monocyte expression and genotype data were available. Statistical associations that survived multiple testing correction were tested for replication in an independent sample of 758 individuals with both monocyte gene expression and genotype data. In both studies, the hsa-mir-1279 rs1463335 was found to modulate in cis the expres…

MaleGene Expressionlcsh:MedicineGenome-wide association studyCoronary Artery DiseaseLinkage DisequilibriumMonocytes0302 clinical medicineGene expressionGenotypelcsh:Science3' Untranslated RegionsOligonucleotide Array Sequence AnalysisGenetics0303 health sciencesMultidisciplinaryGenomicsMiddle Aged3. Good healthFemaleRNA InterferenceEpigeneticsResearch ArticleAdultmedicine.medical_specialtyImmune CellsImmunologyLocus (genetics)Single-nucleotide polymorphismBiologyPolymorphism Single Nucleotide03 medical and health sciencesMolecular geneticsmedicineGeneticsHumansGeneBiology030304 developmental biologyAgedPopulation BiologyHaplotypelcsh:RComputational BiologyMicroRNAsCase-Control StudiesLeukocytes MononuclearLinear ModelsGenetic Polymorphismlcsh:QTranscriptomeGenome Expression Analysis030217 neurology & neurosurgeryPopulation GeneticsGenome-Wide Association StudyPLoS ONE
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Transforming RNA-Seq Data to Improve the Performance of Prognostic Gene Signatures

2014

Gene expression measurements have successfully been used for building prognostic signatures, i.e for identifying a short list of important genes that can predict patient outcome. Mostly microarray measurements have been considered, and there is little advice available for building multivariable risk prediction models from RNA-Seq data. We specifically consider penalized regression techniques, such as the lasso and componentwise boosting, which can simultaneously consider all measurements and provide both, multivariable regression models for prediction and automated variable selection. However, they might be affected by the typical skewness, mean-variance-dependency or extreme values of RNA-…

MaleGene Expressionlcsh:Medicinecomputer.software_genreBioinformaticslcsh:ScienceExtreme value theoryMultidisciplinaryMultivariable calculusStatisticsRegression analysisGenomicsPrognosisKidney NeoplasmsNeoplasm ProteinsLeukemia Myeloid AcuteMedicineProbability distributionFemaleSequence AnalysisAlgorithmsResearch ArticleStatistical DistributionsRiskBoosting (machine learning)Clinical Research DesignFeature selectionBiostatisticsBiologyMachine learningMolecular GeneticsGenome Analysis ToolsCovariateHumansStatistical MethodsGene PredictionBiologyCarcinoma Renal CellProbabilityClinical GeneticsSequence Analysis RNAbusiness.industrylcsh:RPersonalized MedicineModelingComputational BiologyProbability TheorySurvival AnalysisSkewnessMultivariate AnalysisRNAlcsh:QArtificial intelligenceGenome Expression AnalysisTranscriptomebusinesscomputerMathematicsPLoS ONE
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The Choice of the Filtering Method in Microarrays Affects the Inference Regarding Dosage Compensation of the Active X-Chromosome

2011

BackgroundThe hypothesis of dosage compensation of genes of the X chromosome, supported by previous microarray studies, was recently challenged by RNA-sequencing data. It was suggested that microarray studies were biased toward an over-estimation of X-linked expression levels as a consequence of the filtering of genes below the detection threshold of microarrays.Methodology/principal findingsTo investigate this hypothesis, we used microarray expression data from circulating monocytes in 1,467 individuals. In total, 25,349 and 1,156 probes were unambiguously assigned to autosomes and the X chromosome, respectively. Globally, there was a clear shift of X-linked expressions toward lower levels…

MaleMicroarrayMicroarraysScienceGene ExpressionBiologyMonocytesGenomic ImprintingMiceX Chromosome InactivationGenes X-LinkedDosage Compensation GeneticMolecular Cell BiologyGeneticsAnimalsHumansRNA MessengerBiologyX-linked recessive inheritanceX chromosomeOligonucleotide Array Sequence AnalysisGeneticsChromosomes Human XMultidisciplinaryDosage compensationAutosomeModels GeneticChromosome BiologyGene Expression ProfilingQRComputational BiologyGenomicsGene expression profilingHEK293 CellsMedicineEpigeneticsFemaleDNA microarrayGenomic imprintingGenome Expression AnalysisResearch ArticlePLoS ONE
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Increase in gut microbiota after immune suppression in baculovirus-infected larvae.

2013

Spodoptera exigua microarray was used to determine genes differentially expressed in S. exigua cells challenged with the species-specific baculovirus SeMNPV as well as with a generalist baculovirus, AcMNPV. Microarray results revealed that, in contrast to the host transcriptional shut-off that is expected during baculovirus infection, S. exigua cells showed a balanced number of up- and down-regulated genes during the first 36 hours following the infection. Many immune-related genes, including pattern recognition proteins, genes involved in signalling and immune pathways as well as immune effectors and genes coding for proteins involved in the melanization cascade were found to be down-regul…

MicroarraysApplied MicrobiologyvirusesGut floraTranscriptomesBiology (General)Immune ResponseEffectorViral Immune EvasionMicrobiotaAgricultureGenomicsFunctional GenomicsHost-Pathogen InteractionIntestinesLarvaResearch ArticleQH301-705.5Mechanisms of Resistance and SusceptibilityImmunologyVirulenceBiologySpodopteraSpodopteraImmune SuppressionMicrobiologydigestive systemVirusMicrobiologyMolecular GeneticsImmune systemIntegrated ControlGenome Analysis ToolsVirologyMicrobial ControlExiguaGeneticsImmune ToleranceAnimalsGene RegulationMolecular BiologyGeneBiologyImmunity to InfectionsMicrobial PathogensImmunityComputational BiologyImmune DefenseRC581-607biology.organism_classificationNucleopolyhedrovirusesParasitologyPest ControlImmunologic diseases. AllergyGenome Expression AnalysisPLoS Pathogens
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