Search results for " Sequence analysis"

showing 10 items of 294 documents

Microarray mRNA expression analysis of Fanconi anemia fibroblasts.

2007

Fanconi anemia (FA) cells are generally hypersensitive to DNA cross-linking agents, implying that mutations in the different <i>FANC</i> genes cause a similar DNA repair defect(s). By using a customized cDNA microarray chip for DNA repair- and cell cycle-associated genes, we identified three genes, cathepsin B (<i>CTSB</i>), glutaredoxin (<i>GLRX</i>), and polo-like kinase 2 (<i>PLK2</i>), that were misregulated in untreated primary fibroblasts from three unrelated FA-D2 patients, compared to six controls. Quantitative real-time RT PCR was used to validate these results and to study possible molecular links between FA-D2 and other FA subtypes.…

Fanconi anemia complementation group CMicroarrayDNA RepairDNA repairMrna expressionBiologyProtein Serine-Threonine KinasesCathepsin Bchemistry.chemical_compoundCytogeneticsFanconi anemiahemic and lymphatic diseasesGeneticsmedicineHumansRNA MessengerMolecular BiologyGeneGenetics (clinical)GlutaredoxinsOligonucleotide Array Sequence AnalysisGeneticsReverse Transcriptase Polymerase Chain ReactionGene Expression ProfilingCell CycleFibroblastsmedicine.diseaseMolecular biologyFanconi AnemiachemistryCase-Control StudiesDNACytogenetic and genome research
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Use of functional genes to quantify denitrifiers in the environment.

2006

During the last decade, application of molecular methods using cultivation-independent approaches has provided new insights into the composition and structure of denitrifying communities in various environments. However, little is known about their abundance, and quantification is still performed using cultivation-based approaches, which are not only biased by the inability to cultivate of many micro-organisms but also fastidious and time-consuming. Two types of cultivation-independent approaches have recently been developed to quantify denitrifiers. The first type, which is based on the hybridization technique, comprises the use of Southern hybridization and DNA arrays. The second type, ba…

Fastidious organismNitratesEcologyNucleic Acid HybridizationFunctional genesComputational biologyBiologyEnvironmentBiochemistryPolymerase Chain ReactionCompetitive pcrlaw.inventionlawMost probable numberGenes BacterialPolymerase chain reactionNitritesSoil MicrobiologySouthern blotOligonucleotide Array Sequence AnalysisBiochemical Society transactions
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A multi-layer method to study genome-scale positions of nucleosomes

2009

AbstractThe basic unit of eukaryotic chromatin is the nucleosome, consisting of about 150 bp of DNA wrapped around a protein core made of histone proteins. Nucleosomes position is modulated in vivo to regulate fundamental nuclear processes. To measure nucleosome positions on a genomic scale both theoretical and experimental approaches have been recently reported. We have developed a new method, Multi-Layer Model (MLM), for the analysis of nucleosome position data obtained with microarray-based approach. The MLM is a feature extraction method in which the input data is processed by a classifier to distinguish between several kinds of patterns. We applied our method to simulated-synthetic and…

Feature extractionNucleosome positioningGenomicsSaccharomyces cerevisiaeComputational biologyHidden Markov Modelchemistry.chemical_compoundSettore BIO/10 - BiochimicaNucleosome positioning Hidden Markov Model Classification Multi-layer methodGeneticsHumansNucleosomeMulti-layer methodHidden Markov modelBase PairingMulti layerOligonucleotide Array Sequence AnalysisGeneticsBase SequenceSettore INF/01 - InformaticabiologyGenome HumanClassificationMarkov ChainsNucleosomesChromatinHistonechemistrybiology.proteinDNAGenomics
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Pathogenetic and diagnostic significance of microRNA deregulation in peripheral T-cell lymphoma not otherwise specified

2014

Peripheral T-cell lymphomas not otherwise specified (PTCLs/NOS) are rare and aggressive tumours whose molecular pathogenesis and diagnosis are still challenging. The microRNA (miRNA) profile of 23 PTCLs/NOS was generated and compared with that of normal T-lymphocytes (CD4+, CD8+, naive, activated). The differentially expressed miRNA signature was compared with the gene expression profile (GEP) of the same neoplasms. The obtained gene patterns were tested in an independent cohort of PTCLs/NOS. The miRNA profile of PTCLs/NOS then was compared with that of 10 angioimmunoblastic T-cell lymphomas (AITLs), 6 anaplastic large-cell lymphomas (ALCLs)/ALK+ and 6 ALCLs/ALK - . Differentially expressed…

Female; Gene Expression Profiling; Humans; Lymphoma T-Cell Peripheral; Male; MicroRNAs; Oligonucleotide Array Sequence Analysis; RNA Neoplasm; Gene Expression Regulation Neoplastic; Oncology; Hematology; Medicine (all)Malemedicine.medical_specialtyPathologyPeripheral T-cell lymphoma not otherwise specifiedBiologyhemic and lymphatic diseasesInternal medicinemicroRNAmedicineHumansRNA NeoplasmOligonucleotide Array Sequence AnalysisRegulation of gene expressionHematologymicroRNA; PTCLs/NOS; GEPOligonucleotide Array Sequence AnalysiGene Expression ProfilingMedicine (all)Not Otherwise SpecifiedLymphoma T-Cell PeripheralMicroRNAHematologymedicine.diseaseGEPLymphomaGene expression profilingGene Expression Regulation NeoplasticMicroRNAsOncologyPTCLs/NOSOriginal ArticleFemaleCD8Human
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Paradigm of tunable clustering using Binarization of Consensus Partition Matrices (Bi-CoPaM) for gene discovery

2013

Copyright @ 2013 Abu-Jamous et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Clustering analysis has a growing role in the study of co-expressed genes for gene discovery. Conventional binary and fuzzy clustering do not embrace the biological reality that some genes may be irrelevant for a problem and not be assigned to a cluster, while other genes may participate in several biological functions and should simultaneously belong to multiple clusters. Also, these algorithms cannot generate tight cluster…

Fuzzy clusteringMicroarraysSingle-linkage clusteringGenes FungalGene Expressionlcsh:MedicineBiologyFuzzy logicSet (abstract data type)Molecular GeneticsEngineeringGenome Analysis ToolsYeastsConsensus clusteringMolecular Cell BiologyDatabases GeneticCluster (physics)GeneticsCluster AnalysisBinarization of Consensus Partition Matrices (Bi-CoPaM)Cluster analysislcsh:ScienceGene clusteringBiologyOligonucleotide Array Sequence AnalysisGeneticsMultidisciplinarybusiness.industryCell Cycleta111lcsh:RComputational BiologyPattern recognitionGenomicsgene discoveryPartition (database)tunable binarization techniquesComputingMethodologies_PATTERNRECOGNITIONGenesCell cyclesSignal Processinglcsh:QArtificial intelligencebusinessGenomic Signal ProcessingAlgorithmsResearch Articleclustering
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Analytical Validation of Multiplex Biomarker Assay to Stratify Colorectal Cancer into Molecular Subtypes

2019

International audience; Previously, we classified colorectal cancers (CRCs) into five CRCAssigner (CRCA) subtypes with different prognoses and potential treatment responses, later consolidated into four consensus molecular subtypes (CMS). Here we demonstrate the analytical development and validation of a custom NanoString nCounter platform-based biomarker assay (NanoCRCA) to stratify CRCs into subtypes. To reduce costs, we switched from the standard nCounter protocol to a custom modified protocol. The assay included a reduced 38-gene panel that was selected using an in-house machine-learning pipeline. We applied NanoCRCA to 413 samples from 355 CRC patients. From the fresh frozen samples (n…

Gene Expression ProfilingTumour heterogeneityCOLON-CANCERlcsh:Rlcsh:Medicine[SDV.CAN]Life Sciences [q-bio]/CancerColorectal cancerCLASSIFICATIONArticleTumour biomarkersData processing[SDV.CAN] Life Sciences [q-bio]/CancerTissue Array AnalysisGENE-EXPRESSION; COLON-CANCER; CLASSIFICATIONBiomarkers TumorHumanslcsh:QColorectal Neoplasmslcsh:ScienceGENE-EXPRESSIONOligonucleotide Array Sequence Analysis
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ΔNp73β is oncogenic in hepatocellular carcinoma by blocking apoptosis signaling via death receptors and mitochondria

2010

p73 belongs to the p53 family of transcription factors known to regulate cell cycle and apoptosis. The Trp73 gene has two promoters that drive the expression of two major p73 isoform subfamilies: TA and ΔN. In general, TAp73 isoforms show proapoptotic activities, whereas members of the N-terminally truncated (ΔN) p73 subfamily that lack the transactivation domain show antiapoptotic functions. We found that upregulation of ΔNp73 in hepatocellular carcinoma (HCC) correlated with reduced survival. Here, we investigated the molecular mechanisms accounting for the oncogenic role of ΔNp73 in HCC.ΔNp73β can directly interfere with the transcriptional activation function of the TA (containing the t…

Gene isoformCarcinoma HepatocellularMolecular Sequence DataApoptosisBiologyModels BiologicalTransactivationDownregulation and upregulationCell Line TumorHumansProtein IsoformsMolecular BiologyTranscription factorGenes DominantOligonucleotide Array Sequence Analysisbcl-2-Associated X ProteinRegulation of gene expressionBase SequenceSettore BIO/11Gene Expression ProfilingTumor Suppressor ProteinsLiver NeoplasmsNuclear ProteinsTumor Protein p73PromoterReceptors Death DomainCell BiologyCell cyclePrognosisMitochondriaCell biologyDNA-Binding ProteinsEnzyme ActivationGene Expression Regulation NeoplasticDrug Resistance NeoplasmCaspasesCancer researchTumor Suppressor Protein p53Signal transductionPrecancerous ConditionsSignal TransductionDevelopmental BiologyCell Cycle
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HIF-1α induces MXI1 by alternate promoter usage in human neuroblastoma cells

2009

Adaptation to low oxygen conditions is essential for maintaining homeostasis and viability in oxygen-consuming multi-cellular tissues, including solid tumors. Central in these processes are the hypoxia-inducible transcription factors, HIF-1 and HIF-2, controlling genes involved in e.g. glucose metabolism and neovascularization. Tumor hypoxia and HIF expression have also been associated with a dedifferentiated phenotype and increased aggressiveness. In this report we show that the MAX interactor-1 (MXI1) gene is directly regulated by HIF proteins in neuroblastoma and breast cancer cells. HIF-binding and transactivation were detected within MXI1 gene regulatory sequences in the vicinity of th…

Gene isoformGenes mycBreast NeoplasmsBiologyTransfectionNeuroblastomaTransactivationCell Line TumorNeuroblastomaBasic Helix-Loop-Helix Transcription FactorsmedicineHumansGenes Tumor SuppressorRNA Small InterferingPromoter Regions GeneticGeneTranscription factorOligonucleotide Array Sequence AnalysisBase SequenceTumor hypoxiaTumor Suppressor ProteinsCell BiologyHypoxia-Inducible Factor 1 alpha Subunitmedicine.diseaseCell HypoxiaUp-RegulationGene Expression Regulation NeoplasticHIF1ARegulatory sequenceCancer researchFemaleExperimental Cell Research
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Lentivirus-induced dendritic cells for immunization against high-risk WT1(+) acute myeloid leukemia.

2013

Wilms' tumor 1 antigen (WT1) is overexpressed in acute myeloid leukemia (AML), a high-risk neoplasm warranting development of novel immunotherapeutic approaches. Unfortunately, clinical immunotherapeutic use of WT1 peptides against AML has been inconclusive. With the rationale of stimulating multiantigenic responses against WT1, we genetically programmed long-lasting dendritic cells capable of producing and processing endogenous WT1 epitopes. A tricistronic lentiviral vector co-expressing a truncated form of WT1 (lacking the DNA-binding domain), granulocyte-macrophage colony-stimulating factor (GM-CSF), and interleukin-4 (IL-4) was used to transduce human monocytes ex vivo. Overnight transd…

Genes Wilms TumorCell SurvivalGenetic VectorsAntineoplastic AgentsBiologyCD8-Positive T-LymphocytesLymphocyte ActivationPeripheral blood mononuclear cellEpitopeMonocytesViral vectorMiceAntigenRisk FactorsGeneticsmedicineNeoplasmAnimalsHumansMolecular BiologyResearch ArticlesOligonucleotide Array Sequence AnalysisCD86LentivirusGene Transfer TechniquesMyeloid leukemiaGranulocyte-Macrophage Colony-Stimulating FactorCell DifferentiationDendritic CellsGenetic Therapymedicine.diseaseAdoptive TransferLeukemia Myeloid AcuteGene Expression RegulationCancer researchLeukocytes MononuclearMolecular MedicineInterleukin-4Ex vivoHuman gene therapy
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Diversity Arrays Technology (DArT) for Pan-genomic Evolutionary Studies of Non-model Organisms

2007

BackgroundHigh-throughput tools for pan-genomic study, especially the DNA microarray platform, have sparked a remarkable increase in data production and enabled a shift in the scale at which biological investigation is possible. The use of microarrays to examine evolutionary relationships and processes, however, is predominantly restricted to model or near-model organisms.Methodology/principal findingsThis study explores the utility of Diversity Arrays Technology (DArT) in evolutionary studies of non-model organisms. DArT is a hybridization-based genotyping method that uses microarray technology to identify and type DNA polymorphism. Theoretically applicable to any organism (even one for wh…

Genetic MarkersSciencePopulationGenomicsBiologyPhylogeneticsEvolutionary Biology/GenomicseducationPhylogenyOligonucleotide Array Sequence Analysiscomputer.programming_languageGeneticseducation.field_of_studyDartMultidisciplinaryPhylogenetic treeResearchDiversity Arrays TechnologyQDArT evolutionRGenomicsBiological EvolutionPlant Biology/Plant Genomes and EvolutionEvolutionary biologyMetagenomicsMedicineDNA microarrayhuman activitiescomputerGenome PlantResearch Article
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