Search results for " Expression Analysis"

showing 10 items of 31 documents

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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ideal: an R/Bioconductor package for interactive differential expression analysis

2020

AbstractBackgroundRNA sequencing (RNA-seq) is an ever increasingly popular tool for transcriptome profiling. A key point to make the best use of the available data is to provide software tools that are easy to use but still provide flexibility and transparency in the adopted methods. Despite the availability of many packages focused on detecting differential expression, a method to streamline this type of bioinformatics analysis in a comprehensive, accessible, and reproducible way is lacking.ResultsWe developed the ideal software package, which serves as a web application for interactive and reproducible RNA-seq analysis, while producing a wealth of visualizations to facilitate data interpr…

Differential expression analysisComputer scienceShinyBioconductorInteractive data analysislcsh:Computer applications to medicine. Medical informaticsReproducible researchBioconductorDifferential expressionCode (cryptography)Transcriptome profilingHumansRNA-SeqTranscriptomicslcsh:QH301-705.5Flexibility (engineering)Ideal (set theory)Base Sequencebusiness.industryData visualizationGene Expression ProfilingRRNAReproducibility of ResultsTransparency (human–computer interaction)Gene Expression Regulationlcsh:Biology (General)Data Interpretation StatisticalWeb applicationlcsh:R858-859.7Software engineeringbusinessSoftwareBMC Bioinformatics
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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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Gene Expression Analysis Uncovers Similarity and Differences Among Burkitt Lymphoma Subtypes.

2011

Abstract Abstract 2494 Background. Burkitt lymphoma (BL) is currently listed in the WHO classification of lymphoid tumors as a single genetic and morphological entity with variation in clinical presentation. In particular, three clinical subsets of BL are recognized: endemic (eBL), sporadic (sBL) and immunodeficiency associated (ID-BL). Each affects different populations and can present with different features. So far, possible differences in their gene expression profiles (GEP) have not been investigated. In this study we aimed to 1) assess whether BL subtypes present with differences in their GEP; 2) investigate the relationship of the different BL subtypes with the non-neoplastic cellula…

Gene Expression Profiles; burkitt lymphomaGene expression analysieducationTransplantation HeterologousImmunologyMice NudeBiologyburkitt lymphomaBiochemistryBurkitt lymphoma.Micehemic and lymphatic diseasesCell Line TumormedicineAnimalsCluster AnalysisHumansRegulation of gene expressionGeneticsGene Expression ProfilesGENE EXPRESSION PROFILEMicroarray analysis techniquesGene Expression ProfilingGerminal centerCell BiologyHematologymedicine.diseaseMicroarray AnalysisPhenotypeLymphomaGene expression profilingTransplantationGene Expression Regulation NeoplasticPhenotypeBurkitt's lymphomaNeoplasm TransplantationGene expression analysis;Burkitt lymphoma.
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Assessing the reliability of gene expression measurements in very-low-numbers of human monocyte-derived macrophages

2019

Abstract Tumor-derived primary cells are essential for in vitro and in vivo studies of tumor biology. The scarcity of this cellular material limits the feasibility of experiments or analyses and hence hinders basic and clinical research progress. We set out to determine the minimum number of cells that can be analyzed with standard laboratory equipment and that leads to reliable results, unbiased by cell number. A proof-of-principle study was conducted with primary human monocyte-derived macrophages, seeded in decreasing number and constant cell density. Gene expression of cells stimulated to acquire opposite inflammatory states was analyzed by quantitative PCR. Statistical analysis indicat…

Gene Expression ProfilingMacrophageslcsh:RPrimary Cell Culturelcsh:MedicineReal-Time Polymerase Chain ReactionArticle570 Life sciencesCNS cancerGene expression analysisHumanslcsh:QGene ontologylcsh:ScienceTranscriptomeCells Cultured570 Biowissenschaften
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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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