Search results for "MICROARRAYS"

showing 10 items of 49 documents

Molecular genetic study of novel biomarkers for early diagnosis of oral squamous cell carcinoma

2014

Objectives: Early detection and treatment of an oral squamous cell carcinoma (OSCC) is critical because of its rapid growth, frequent lymph-node metastasis, and poor prognosis. However, no clinically-valuable methods of early diagnosis exist, and genetic analysis of OSCCs has yielded no biomarkers. Study Design: We investigated the expression of genes associated with inflammation in OSCCs via a quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) analysis of microarray data. Tumor and normal tissues from five patients with an OSCC were used for microarray analysis. Differentially-expressed genes, identified using permutation, local pooled error (LPE), t-tests, and signific…

MalePathologymedicine.medical_specialtyOdontologíaBiologyGenetic analysislaw.inventionMetastasislawGene expressionmedicineBiomarkers TumorHumansGeneral DentistryGenePolymerase chain reactionEarly Detection of CancerOral Medicine and PathologyMicroarray analysis techniquesGene Expression ProfilingResearchDNA NeoplasmMiddle Aged:CIENCIAS MÉDICAS [UNESCO]medicine.diseaseCiencias de la saludGene Expression Regulation Neoplasticstomatognathic diseasesOtorhinolaryngologyGenetic markerSignificance analysis of microarraysUNESCO::CIENCIAS MÉDICASCancer researchCarcinoma Squamous CellSurgeryFemaleMouth Neoplasms
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Removing Batch Effects from Longitudinal Gene Expression - Quantile Normalization Plus ComBat as Best Approach for Microarray Transcriptome Data

2016

International audience; Technical variation plays an important role in microarray-based gene expression studies, and batch effects explain a large proportion of this noise. It is therefore mandatory to eliminate technical variation while maintaining biological variability. Several strategies have been proposed for the removal of batch effects, although they have not been evaluated in large-scale longitudinal gene expression data. In this study, we aimed at identifying a suitable method for batch effect removal in a large study of microarray-based longitudinal gene expression. Monocytic gene expression was measured in 1092 participants of the Gutenberg Health Study at baseline and 5-year fol…

Male0301 basic medicineMolecular biologyMicroarrayslcsh:MedicineGene ExpressionPolynomialsMonocytesMathematical and Statistical Techniques0302 clinical medicineLongitudinal StudiesProspective Studieslcsh:ScienceOligonucleotide Array Sequence AnalysisGeneticsPrincipal Component Analysis[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyMultidisciplinaryGenomicsReplicateMiddle AgedRegressionRNA isolationBioassays and Physiological Analysis030220 oncology & carcinogenesisPhysical SciencesPrincipal component analysisFemaleRNA hybridizationDNA microarrayTranscriptome AnalysisStatistics (Mathematics)Research ArticleAdultComputational biologyBiologyBiomolecular isolationGeneralized linear mixed model03 medical and health sciencesDeming regressionExtraction techniquesGeneticsHumansStatistical MethodsAgedQuantile normalizationMolecular probe techniquesGene Expression Profilinglcsh:RBiology and Life SciencesComputational BiologyGenome AnalysisProbe hybridizationRNA extractionResearch and analysis methodsGene expression profilingMolecular biology techniquesAlgebra030104 developmental biologyNonlinear DynamicsMultivariate Analysislcsh:QMathematics[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Effects of Scrophularia ningpoensis Hemsl. on Inhibition of Proliferation, Apoptosis Induction and NF-κB Signaling of Immortalized and Cancer Cell Li…

2012

Scrophularia ningpoensis has been used in China for centuries as a herbal tea to treat various diseases. Based on the numerous animal studies on its pharmaceutical effects and the long time clinical experiences, we studied the molecular and cellular mechanism underlying the bioactivity of aqueous extract of Scrophularia and its isolated compounds. Seven isolated compounds, unlike Scrophularia extract, failed to induce cytotoxicity on HaCaT cells, but their combination improved the effect of extract. Tumor cell line selectivity was not observed, when we studied its cytotoxic effect on melanoma cell lines. The apoptotic and anti-inflammatory effects of Scrophularia extract have been demonstra…

MAPK/ERK pathwaypharmacognosylcsh:Medicinelcsh:RS1-441Pharmaceutical SciencePharmacologyapoptosis; microarrays; pharmacogenomics; pharmacognosy; phytotherapy; signaling pathwaysArticlelcsh:Pharmacy and materia medicaDrug DiscoveryMedicineScrophulariaCytotoxicitymicroarrayspharmacogenomicsScrophularia ningpoensisbiologybusiness.industrylcsh:Rapoptosisphytotherapybiology.organism_classificationsignaling pathwaysHaCaTMechanism of actionApoptosisMolecular MedicineSignal transductionmedicine.symptombusinessPharmaceuticals
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Hub-Centered Gene Network Reconstruction Using Automatic Relevance Determination

2012

Network inference deals with the reconstruction of biological networks from experimental data. A variety of different reverse engineering techniques are available; they differ in the underlying assumptions and mathematical models used. One common problem for all approaches stems from the complexity of the task, due to the combinatorial explosion of different network topologies for increasing network size. To handle this problem, constraints are frequently used, for example on the node degree, number of edges, or constraints on regulation functions between network components. We propose to exploit topological considerations in the inference of gene regulatory networks. Such systems are often…

Dynamic network analysisTranscription GeneticMicroarraysSciencePosterior probabilityGene regulatory networkBiologycomputer.software_genreBioinformaticsNetwork topology03 medical and health sciences0302 clinical medicineYeastsGeneticsComputer SimulationGene Regulatory NetworksGene NetworksBiology030304 developmental biologyRegulatory NetworksHyperparameter0303 health sciencesMultidisciplinaryModels GeneticSystems BiologyQuantitative Biology::Molecular NetworksCell CycleQRComputational BiologyBayesian networkGene Expression RegulationROC CurveMedicineData miningcomputerAlgorithms030217 neurology & neurosurgeryCombinatorial explosionBiological networkResearch ArticlePLoS ONE
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Expression profiling of glial genes during Drosophila embryogenesis

2006

AbstractIn the central nervous system of Drosophila, the induction of the glial cell fate is dependent on the transcription factor glial cells missing (gcm). Though a considerable number of other genes have been shown to be expressed in all or in subsets of glial cells, the course of glial cell differentiation and subtype specification is only poorly understood. This prompted us to design a whole genome microarray approach comparing gcm gain-of-function and, for the first time, gcm loss-of-function genetics to wildtype in time course experiments along embryogenesis. The microarray data were analyzed with special emphasis on the temporal profile of differential regulation. A comparison of bo…

Quality ControlCell typeMicroarraysGenes InsectCell fate determinationBiologygcmGlial developmentAnimalsDrosophila ProteinsGeneMolecular BiologyOligonucleotide Array Sequence AnalysisGeneticsDrosophila embryogenesisMicroarray analysis techniquesGene Expression ProfilingDrosophila embryogenesisGene Expression Regulation DevelopmentalCell BiologyCell biologyGene expression profilingDNA-Binding ProteinsGlial cell differentiationDrosophilaDNA microarrayNeurogliaGlial genesTranscription FactorsDevelopmental BiologyDevelopmental Biology
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Quantification of the heterogeneity of prognostic cellular biomarkers in ewing sarcoma using automated image and random survival forest analysis

2014

Driven by genomic somatic variation, tumour tissues are typically heterogeneous, yet unbiased quantitative methods are rarely used to analyse heterogeneity at the protein level. Motivated by this problem, we developed automated image segmentation of images of multiple biomarkers in Ewing sarcoma to generate distributions of biomarkers between and within tumour cells. We further integrate high dimensional data with patient clinical outcomes utilising random survival forest (RSF) machine learning. Using material from cohorts of genetically diagnosed Ewing sarcoma with EWSR1 chromosomal translocations, confocal images of tissue microarrays were segmented with level sets and watershed algorithm…

PathologyCytoplasmMicroarrayslcsh:MedicineCohort StudiesMedicine and Health Scienceslcsh:ScienceMultidisciplinaryTissue microarrayApplied MathematicsPrognosisRandom forestBioassays and Physiological AnalysisOncologyFeature (computer vision)Research DesignPhysical SciencesBiomarker (medicine)SarcomaAnatomyAlgorithmsStatistics (Mathematics)Research Articlemedicine.medical_specialtyComputer and Information SciencesHistologyClinical Research DesignCD99Feature selectionBone NeoplasmsComputational biologySarcoma EwingBiology12E7 AntigenResearch and Analysis MethodsAntigens CDArtificial IntelligenceCell Line TumormedicineCancer Detection and DiagnosisBiomarkers TumorHumansStatistical MethodsCell Nucleuslcsh:RBiology and Life SciencesComputational BiologyImage segmentationmedicine.diseaselcsh:QCell Adhesion MoleculesMathematicsPLoS 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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Pharmacogenomics of Scopoletin in Tumor Cells

2016

Drug resistance and the severe side effects of chemotherapy necessitate the development of novel anticancer drugs. Natural products are a valuable source for drug development. Scopoletin is a coumarin compound, which can be found in several Artemisia species and other plant genera. Microarray-based RNA expression profiling of the NCI cell line panel showed that cellular response of scopoletin did not correlate to the expression of ATP-binding cassette (ABC) transporters as classical drug resistance mechanisms (ABCB1, ABCB5, ABCC1, ABCG2). This was also true for the expression of the oncogene EGFR and the mutational status of the tumor suppressor gene, TP53. However, mutations in the RAS onc…

0301 basic medicinePharmaceutical ScienceATP-binding cassette transporterDrug resistancePharmacologycoumarinAnalytical Chemistrychemistry.chemical_compound0302 clinical medicineNeoplasmsDrug DiscoveryABC-transportermicroarraysNF-kappa BABCB5Drug Resistance MultipleGene Expression Regulation NeoplasticMolecular Docking SimulationDrug developmentChemistry (miscellaneous)030220 oncology & carcinogenesisherbal medicineMolecular MedicineSignal TransductionTumor suppressor geneProtein Array AnalysisBiologyArticlelcsh:QD241-44103 medical and health scienceslcsh:Organic chemistrymultidrug resistanceCell Line TumorScopoletinHumansPhysical and Theoretical ChemistryTranscription factorScopoletinOncogenePlant ExtractsOrganic ChemistryTranscription Factor RelAphytotherapy030104 developmental biologyArtemisiachemistryDrug Resistance NeoplasmPharmacogeneticsCancer researchABC-transporter; cluster analysis; coumarin; herbal medicine; microarrays; multidrug resistance; phytotherapyATP-Binding Cassette Transporterscluster analysisMolecules
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Response to long-term NaHCO3-derived alkalinity in model Lotus japonicus Ecotypes Gifu B-129 and Miyakojima MG-20: transcriptomic profiling and physi…

2014

The current knowledge regarding transcriptomic changes induced by alkalinity on plants is scarce and limited to studieswhere plants were subjected to the alkaline salt for periods not longer than 48 h, so there is no information availableregarding the regulation of genes involved in the generation of a new homeostatic cellular condition after long-termalkaline stress.Lotus japonicusis a model legume broadly used to study many important physiological processes includingbiotic interactions and biotic and abiotic stresses. In the present study, we characterized phenotipically the response toalkaline stress of the most widely usedL. japonicusecotypes, Gifu B-129 and MG-20, and analyzed global t…

ChlorophyllOtras Biotecnología AgropecuariaPhysiologyApplied MicrobiologyPlant SciencePathogenesisPathology and Laboratory MedicinePlant RootsBiochemistryTranscriptomeZINCchemistry.chemical_compoundPlant MicrobiologyGene Expression Regulation PlantABIOTIC STRESSMETAL TRANSPORTERSMedicine and Health SciencesOligonucleotide Array Sequence AnalysisLOTUS JAPONICUSPlant Growth and DevelopmentMultidisciplinarybiologyEcotypePlant BiochemistryIRONQRMicrobial Growth and Development//purl.org/becyt/ford/4.4 [https]food and beveragesPlantsZincPlant PhysiologyShootHost-Pathogen InteractionsMedicineAntacidsAnatomymicroarrayPlant ShootsResearch ArticleBiotechnologyHistologyScienceIronPlant Cell BiologyLotus japonicusBiotecnología AgropecuariaalkalinityMycologyReal-Time Polymerase Chain ReactionResearch and Analysis MethodsMicrobiologyModel OrganismsIsoflavonoidSpecies SpecificityPlant and Algal ModelsBotanyAbiotic stressGene Expression ProfilingfungiOrganismsFungiBiology and Life SciencesPlant TranspirationCell Biologybiology.organism_classificationMICROARRAYSGene expression profilingSodium BicarbonatechemistryCIENCIAS AGRÍCOLASChlorophyllLotusPhysiological Processes//purl.org/becyt/ford/4 [https]Developmental BiologyPloS one
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