Search results for "MICROARRAYS"

showing 10 items of 49 documents

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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SNPs array karyotyping reveals a novel recurrent 20p13 amplification in primary myelofibrosis.

2011

The molecular pathogenesis of primary mielofibrosis (PMF) is still largely unknown. Recently, single-nucleotide polymorphism arrays (SNP-A) allowed for genome-wide profiling of copy-number alterations and acquired uniparental disomy (aUPD) at high-resolution. In this study we analyzed 20 PMF patients using the Genome-Wide Human SNP Array 6.0 in order to identify novel recurrent genomic abnormalities. We observed a complex karyotype in all cases, detecting all the previously reported lesions (del(5q), del(20q), del(13q), +8, aUPD at 9p24 and abnormalities on chromosome 1). In addition, we identified several novel cryptic lesions. In particular, we found a recurrent alteration involving cytob…

MaleMicroarraysMIELOFIBROSISChromosomes Human Pair 20Loss of Heterozygositylcsh:MedicineLoss of heterozygosityCohort StudiesHematologic Cancers and Related DisordersGene duplicationTaq Polymeraselcsh:ScienceOligonucleotide Array Sequence AnalysisMultidisciplinaryMYELOFIBROSIS; SNPKaryotypeGenomicsHematologyUniparental disomyMedicineFemaleImmunohistochemical AnalysisSNP arrayResearch ArticleTest Evaluationmedicine.medical_specialtyDNA Copy Number VariationsImmunologySNPLocus (genetics)Single-nucleotide polymorphismReceptors Cell SurfaceBiologyPolymorphism Single NucleotideDiagnostic MedicinemedicineGeneticsHumansBiologyAgedEvolutionary BiologyMyeloproliferative DisordersPopulation Biologylcsh:RCytogeneticsGene AmplificationComputational BiologyDNAUniparental Disomymedicine.diseaseMolecular biologyMYELOFIBROSISPrimary MyelofibrosisKaryotypingGenetic PolymorphismImmunologic TechniquesClinical Immunologylcsh:QPopulation GeneticsPLoS ONE
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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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The Role of Immunohistochemistry in Rhabdomyosarcoma Diagnosis Using Tissue Microarray Technology and a Xenograft Model

2015

Rhabdomyosarcomas (RMS) may resemble other non-myogenic sarcomas and malignant rhabdoid tumor (MRT). Alveolar rhabdomyosarcoma (ARMS) often harbors a typical translocation, but embryonal rhabdomyosarcoma (ERMS) lacks any specific rearrangement. Histopathology is not always sufficient for an unequivocal diagnosis, necessitating ancillary studies, including immunohistochemistry (IHC). Sixteen genetically tested RMS and two MRT were xenografted and followed in successive passages. Tissue microarrays were constructed including samples from original and xenograft tumors. Desmin, myogenin, CK, EMA, INI1, LSD1, AP2 beta, fibrillin-2, HMGA2, nestin, and SIRT1 were tested using immunohistochemical s…

Malemusculoskeletal diseasesmedicine.medical_specialtyPathologygenetic structuresMice NudeBiologyPathology and Forensic MedicineDiagnosis DifferentialMiceRhabdomyosarcomaBiomarkers TumormedicineAnimalsHumansRhabdomyosarcomaRhabdoid TumorTissue microarraytissue microarraysGeneral MedicineNestinmedicine.diseasemusculoskeletal systemImmunohistochemistryDisease Models AnimalxenograftsTissue Array AnalysisPediatrics Perinatology and Child HealthimmunohistochemistryAlveolar rhabdomyosarcomaCancer researchHeterograftsImmunohistochemistryHistopathologyDesminEmbryonal rhabdomyosarcomarhabdomyosarcoma
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Imbibition of Femtoliter-Scale DNA-Rich Aqueous Droplets into Porous Nylon Substrates by Molecular Printing

2019

This work presents the first reported imbibition mechanism of femtoliter (fL)-scale droplets produced by microchannel cantilever spotting (μCS) of DNA molecular inks into porous substrates (hydrophilic nylon). Differently from macroscopic or picoliter droplets, the downscaling to the fL-size leads to an imbibition process controlled by the subtle interplay of evaporation, spreading, viscosity, and capillarity, with gravitational forces being quasi-negligible. In particular, the minimization of droplet evaporation, surface tension, and viscosity allows for a reproducible droplet imbibition process. The dwell time on the nylon surface permits further tuning of the droplet lateral size, in acc…

Materials scienceDiffusionSettore CHIM/05 - Scienza e Tecnologia dei Materiali PolimericiEvaporation02 engineering and technology010402 general chemistry01 natural sciencesSurface tensionMolecular ImprintingViscosityElectrochemistrySurface TensionGeneral Materials Sciencedroplets imbibition molecular printing nylon substrates biosensors microarraysPorositySpectroscopyMicrochannelFemtoliterNucleic Acid HybridizationWaterSurfaces and InterfacesDNA021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesNylonsChemical engineeringSettore CHIM/03 - Chimica Generale E InorganicaImbibition0210 nano-technologyHydrophobic and Hydrophilic InteractionsPorosity
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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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Analyzing Illumina Gene Expression Microarray Data from Different Tissues: Methodological Aspects of Data Analysis in the MetaXpress Consortium

2012

Microarray profiling of gene expression is widely applied in molecular biology and functional genomics. Experimental and technical variations make meta-analysis of different studies challenging. In a total of 3358 samples, all from German population-based cohorts, we investigated the effect of data preprocessing and the variability due to sample processing in whole blood cell and blood monocyte gene expression data, measured on the Illumina HumanHT-12 v3 BeadChip array. Gene expression signal intensities were similar after applying the log(2) or the variance-stabilizing transformation. In all cohorts, the first principal component (PC) explained more than 95% of the total variation. Technic…

MicroarraysArray ProcessingClinical Research DesignScienceGene ExpressionSingle-nucleotide polymorphismBiologyPolymorphism Single NucleotideMolecular Genetics03 medical and health sciencesEngineering0302 clinical medicineGenome Analysis ToolsGermanyWhite blood cellGene expressionGenome-Wide Association StudiesGeneticsmedicineHumansGenome SequencingStatistical MethodsBiologyOligonucleotide Array Sequence Analysis030304 developmental biologyWhole bloodGenetics0303 health sciencesMultidisciplinaryGene Expression ProfilingQRComputational BiologyReproducibility of ResultsHuman GeneticsGenomicsGene expression profilingMinor allele frequencymedicine.anatomical_structure030220 oncology & carcinogenesisSignal ProcessingMedicineRNA extractionFunctional genomicsResearch ArticlePLoS ONE
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Listeria monocytogenes Differential Transcriptome Analysis Reveals Temperature-Dependent Agr Regulation and Suggests Overlaps with Other Regulons

2012

Listeria monocytogenes is a ubiquitous, opportunistic pathogenic organism. Environmental adaptation requires constant regulation of gene expression. Among transcriptional regulators, AgrA is part of an auto-induction system. Temperature is an environmental cue critical for in vivo adaptation. In order to investigate how temperature may affect AgrA-dependent transcription, we compared the transcriptomes of the parental strain L. monocytogenes EGD-e and its Delta agrA mutant at the saprophytic temperature of 25 degrees C and in vivo temperature of 37 degrees C. Variations of transcriptome were higher at 37 degrees C than at 25 degrees C. Results suggested that AgrA may be involved in the regu…

MicroarraysOperonMutantmedicine.disease_causeTranscriptomesTranscriptomeMolecular Cell BiologyTranscriptional regulationCluster AnalysisAmino AcidsCellular Stress ResponsesGeneticsRegulation of gene expression0303 health sciencesMultidisciplinaryQRTemperatureSalt ToleranceGenomicsPlanktonFunctional GenomicsBacterial Pathogens[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyMedicineResearch Articleagr-alisteria monocytogenes;pathogenic organism;transcriptome;temperature;agr-aScienceSigma FactorBiologyRegulonMicrobiologyMicrobial Ecology03 medical and health sciencesListeria monocytogenes[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomyGenome Analysis ToolsmedicinePathogenic organismGene SilencingBiology030304 developmental biologyGram Positive[ SDV ] Life Sciences [q-bio]030306 microbiologyGene Expression ProfilingComputational BiologyBiological TransportGene Expression Regulation BacterialListeria monocytogenesGene expression profilingRegulonBiofilmsTranscriptomelisteria monocytogènesGene DeletionTranscription Factors
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Factors Determining Sensitivity and Resistance of Tumor Cells to Arsenic Trioxide

2012

Previously, arsenic trioxide showed impressive regression rates of acute promyelocytic leukemia. Here, we investigated molecular determinants of sensitivity and resistance of cell lines of different tumor types towards arsenic trioxide. Arsenic trioxide was the most cytotoxic compound among 8 arsenicals investigated in the NCI cell line panel. We correlated transcriptome-wide microarray-based mRNA expression to the IC(50) values for arsenic trioxide by bioinformatic approaches (COMPARE and hierarchical cluster analyses, Ingenuity signaling pathway analysis). Among the identified pathways were signaling routes for p53, integrin-linked kinase, and actin cytoskeleton. Genes from these pathways…

MicroarraysTumor PhysiologyCancer Treatmentlcsh:MedicineToxicologyArsenicalschemistry.chemical_compoundArsenic TrioxideBasic Cancer ResearchRNA NeoplasmArsenic trioxidelcsh:ScienceOligonucleotide Array Sequence AnalysisMultidisciplinaryintegumentary systemCytotoxinsOxidesTransfectionNeoplasm ProteinsGene Expression Regulation NeoplasticActin CytoskeletonOncologyMedicineThioredoxinSignal TransductionResearch Articleinorganic chemicalsAcute promyelocytic leukemiaToxic Agentschemistry.chemical_elementAntineoplastic AgentsBiologyComplementary and Alternative MedicineCell Line TumormedicineHumansRNA MessengerBiologyArseniclcsh:RComputational BiologyCancers and Neoplasmsmedicine.diseaseActin cytoskeletonMolecular biologychemistryDrug Resistance NeoplasmApoptosisCell culturelcsh:QPLoS ONE
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Abstract P2-05-04: Gene expression associated with poor prognosis of young TNBC patients

2015

Abstract Background: Among TNBC patients those of very young age (<40 years) display a significantly worse prognosis (Liedtke et al. 2013 Breast Cancer Res Treat). We verified this result in 1161 TNBC samples with full Affymetrix gene expression data of which 845 patients had both detailed age and follow up information. Materials and Methods: We split the full sample set into a finding cohort of 394 TNBC and a validation cohort of 767 TNBC encompassing 309 and 536 samples, respectively, with both age and follow up data. We then used significance analysis of microarrays (SAM) in the finding cohort to look for genes whose expression is associated with young age (<40 years). Iden…

OncologyCancer Researchmedicine.medical_specialtyPoor prognosisbusiness.industryCancermedicine.diseaseFull sampleYoung ageBreast cancerOncologyInternal medicineImmunologyGene expressionCohortSignificance analysis of microarraysmedicinebusinessCancer Research
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