Search results for "Profiling"

showing 10 items of 881 documents

Topoisomerase II{alpha}-dependent and -independent apoptotic effects of dexrazoxane and doxorubicin.

2009

Abstract Coadministration of the iron chelator dexrazoxane reduces by 80% the incidence of heart failure in cancer patients treated with anthracyclines. The clinical application of dexrazoxane is limited, however, because its ability to inhibit topoisomerase IIα (TOP2A) is feared to adversely affect anthracycline chemotherapy, which involves TOP2A-mediated generation of DNA double-strand breaks (DSB). Here, we investigated the apoptotic effects of dexrazoxane and the anthracycline doxorubicin, alone and in combination, in a tumor cell line with conditionally regulated expression of TOP2A. Each drug caused apoptosis that was only partly dependent on TOP2A. Unexpectedly, dexrazoxane was found…

DrugCancer ResearchAnthracyclinemedicine.medical_treatmentmedia_common.quotation_subjectAntineoplastic AgentsApoptosisPharmacologyHistonesAntigens NeoplasmCell Line TumormedicineHumansDoxorubicinAdverse effectPoly-ADP-Ribose Binding Proteinsmedia_commonCaspase 7ChemotherapyChemistryCaspase 3Gene Expression ProfilingCancermedicine.diseaseGlutathioneDNA-Binding ProteinsGene Expression Regulation NeoplasticDNA Topoisomerases Type IIOncologyApoptosisDoxorubicinCancer researchDexrazoxaneTumor Suppressor Protein p53Razoxanemedicine.drugMolecular cancer therapeutics
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Pathway network inference from gene expression data

2014

[EN] Background: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems Biology discipline. Analysis and interpretation of gene expression data has evolved from the gene to the pathway and interaction level, i.e. from the detection of differentially expressed genes, to the establishment of gene interaction networks and the identification of enriched functional categories. Still, the understanding of biological systems requires a further level of analysis that addresses the characterization of the interaction between functional modules. Results: We presen…

ESTADISTICA E INVESTIGACION OPERATIVAGene regulatory networkGene ExpressionInferenceSister chromatidsOxidative Phosphorylation//purl.org/becyt/ford/1 [https]Structural BiologyEstadística e Investigación OperativaGene Regulatory NetworksTopology (chemistry)Alzheimers-DiseaseGeneticsDIBUJOBiological systemsApplied MathematicsSystems BiologyCell Cycle//purl.org/becyt/ford/1.2 [https]Computer Science ApplicationsMicroarray experimentsModeling and SimulationIdentification (biology)Functional assessmentDNA-replicationFunctional connectionsGlycolysisCIENCIAS NATURALES Y EXACTASPathway NetworkDNA ReplicationSaccharomyces-CervisiaeBioinformaticsS-phaseSystems biologyGenomicsComputational biologySaccharomyces cerevisiaeBiologyGene interactionAlzheimer DiseaseModelling and SimulationGenomic dataPANAPathwaysMolecular BiologyUbiquitinResearchGene Expression ProfilingR packageGluconeogenesisGene expression profilingComputingMethodologies_PATTERNRECOGNITIONPurinesCiencias de la Computación e InformaciónProteolysisGene expression dataCiencias de la Información y BioinformáticaUbiquitin conjugationPathwayBMC Systems Biology
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Transcriptome analysis of Pseudomonas mediterranea and P. corrugata plant pathogens during accumulation of medium-chain-length PHAs by glycerol bioco…

2017

Pseudomonas corrugata and P. mediterranea are soil inhabitant bacteria, generally living as endophytes on symptomless plants and bare soil, but also capable of causing plant diseases. They share a similar genome size and a high proteome similarity. P. corrugata produces many biomolecules which play an important role in bacterial cell survival and fitness. Both species produce different medium-chain-length PHAs (mcl-PHAs) from the bioconversion of glycerol to a transparent film in P. mediterranea and a sticky elastomer in P. corrugata. In this work, using RNA-seq we investigated the transcriptional profiles of both bacteria at the early stationary growth phase with glycerol as the carbon sou…

EXPRESSION0301 basic medicineGlycerolAlginatesBioconversionPseudomonas mediterraneaPlant DiseasePOLYHYDROXYALKANOATESBioengineeringPolyhydroxyalkanoatePseudomonaTRANSACYLASEBacterial cell structureMicrobiologyTranscriptome03 medical and health sciencesPseudomonasDEPOLYMERASEMolecular BiologyDE-NOVO BIOSYNTHESISSoil MicrobiologyPlant DiseasesbiologyBase SequenceGene Expression ProfilingPseudomonasAlginatePolysaccharides BacterialSettore AGR/12 - Patologia VegetaleGeneral MedicineBiosynthetic PathwayGene Expression Regulation Bacterialbiology.organism_classificationBiosynthetic PathwaysDE-NOVO BIOSYNTHESIS ESCHERICHIA-COLI ALGINATE PRODUCTION PUTIDA KT2442 POLYHYDROXYALKANOATES TOMATO LIPODEPSIPEPTIDE TRANSACYLASE DEPOLYMERASE EXPRESSIONALGINATE PRODUCTIONLIPODEPSIPEPTIDEPseudomonas corrugataMetabolic pathwayRNA Bacterial030104 developmental biologyBiochemistryESCHERICHIA-COLIPUTIDA KT2442TOMATOBacteriaBiotechnology
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Molecular profiling of blastic plasmacytoid dendritic cell neoplasm reveals a unique pattern and suggests selective sensitivity to NF-kB pathway inhi…

2014

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare disease of controversial origin recently recognized as a neoplasm deriving from plasmacytoid dendritic cells (pDCs). Nevertheless, it remains an orphan tumor with obscure biology and dismal prognosis. To better understand the pathobiology of BPDCN and discover new targets for effective therapies, the gene expression profile (GEP) of 25 BPDCN samples was analyzed and compared with that of pDCs, their postulated normal counterpart. Validation was performed by immunohistochemistry (IHC), whereas functional experiments were carried out ex vivo. For the first time at the molecular level, we definitely recognized the cellular derivati…

EXPRESSIONMyeloidCancer ResearchPathologymedicine.medical_specialtyMyeloidCell Cycle; Dendritic Cells; Humans; Leukemia Myeloid Acute; NF-kappa B; Signal Transduction; Gene Expression Profiling; Hematology; Cancer Research; Anesthesiology and Pain MedicineAcuteBiologyCell Cycle; Dendritic Cells; Humans; Leukemia Myeloid Acute; NF-kappa B; Signal Transduction; Gene Expression ProfilingDendritic CellArticleMALIGNANCIESMULTIPLE-MYELOMABlastic plasmacytoid dendritic cell neoplasmBlastic plasmacytoid dendritic cell neoplasm; anti-NF-kB-treatment; GEPGene expressionmedicineHumansNeoplasmanti-NF-kB-treatmentGene Expression ProfilingCell CycleNF-kappa BleukemiaIN-VITRODendritic CellsHematologyBlastic plasmacytoid dendritic cell neoplasmmedicine.diseaseCANCERGEPFACTOR-KAPPA-BLeukemia Myeloid AcuteSettore MED/15 - MALATTIE DEL SANGUEDIFFERENTIATIONAnesthesiology and Pain Medicinemedicine.anatomical_structureLYMPHOID PATHWAYSOncologyCell cultureHEMATODERMIC NEOPLASMImmunohistochemistryCellular modelEx vivoHumanSignal Transduction
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Fungal genes related to calcium homeostasis and signalling are upregulated in symbiotic arbuscular mycorrhiza interactions

2012

Fluctuations in intracellular calcium levels generate signalling events and regulate different cellular processes. Whilst the implication of Ca2+ in plant responses during arbuscular mycorrhiza (AM) interactions is well documented, nothing is known about the regulation or role of this secondary messenger in the fungal symbiont. The spatio-temporal expression pattern of putatively Ca2+-related genes of Glomus intraradices BEG141 encoding five proteins involved in membrane transport and one nuclear protein kinase, was investigated during the AM symbiosis. Expression profiles related to successful colonization of host roots were observed in interactions of G. intraradices with roots of wild-ty…

EXPRESSION[SDV]Life Sciences [q-bio]STRIGOLACTONESBiologySymbiosis-related plant mutantsPlant RootsCalcium in biologyFungal ProteinsRNA ACCUMULATIONCA2+Gene Expression Regulation FungalMycorrhizaeGene expressionBotanyMedicago truncatulaMedicagoGeneticsHomeostasis[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyPLANTSGLOMUS-INTRARADICESGIGASPORA-ROSEAGlomeromycotaSymbiosisGeneEcology Evolution Behavior and SystematicsRegulation of gene expressionGene Expression ProfilingLasersMAGNAPORTHE-ORYZAEfungiMembrane transportbiology.organism_classificationMEDICAGO-TRUNCATULAMedicago truncatulaUp-RegulationCell biologyArbuscular mycorrhizaInfectious DiseasesMUTANTS[SDE]Environmental SciencesCalciumGlomus intraradicesGene expressionSignal transductionLaser microdissectionMicrodissectionSignal Transduction
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2-D difference gel electrophoresis approach to assess protein expression profiles in Bathymodiolus azoricus from Mid-Atlantic Ridge hydrothermal vent…

2011

Hydrothermal vent mussels Bathymodiolus azoricus are naturally exposed to toxic chemical species originated directly from vent chimneys. The amount of toxic elements varies significantly among vent sites along the Mid-Atlantic Ridge and B. azoricus must be able to adapt to changes in hydrothermal fluid composition, temperature and pressure. The aim of this work was to study changes in the proteome in the "gill-bacteria complex" of mussels B. azoricus from three hydrothermal vent sites with distinct environmental characteristics using 2-D Fluorescence Difference Gel Electrophoresis (2-D DIGE). Results showed that 31 proteins had different expression profiles among vent sites and both cluster…

ElectrophoresisProteomeDifference gel electrophoresisBiophysicsBiochemistryHydrothermal circulationChaperoninBathymodiolus azoricusHydrothermal Vents2-D DIGEmedicineAnimalsElectrophoresis Gel Two-DimensionalAdaptationbiologyGene Expression ProfilingRidge (biology)fungiTrypsinMolecular biologyAdaptation PhysiologicalGene expression profilingHydrothermal ventsGene expression RegulationBiochemistryGene Expression RegulationCatalaseProteomebiology.proteinMytilidaeHydrothermal ventmedicine.drugJournal of proteomics
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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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Human exome and mouse embryonic expression data implicate ZFHX3, TRPS1, and CHD7 in human esophageal atresia

2020

Introduction Esophageal atresia with or without tracheoesophageal fistula (EA/TEF) occurs approximately 1 in 3.500 live births representing the most common malformation of the upper digestive tract. Only half a century ago, EA/TEF was fatal among affected newborns suggesting that the steady birth prevalence might in parts be due to mutational de novo events in genes involved in foregut development. Methods To identify mutational de novo events in EA/TEF patients, we surveyed the exome of 30 case-parent trios. Identified and confirmed de novo variants were prioritized using in silico prediction tools. To investigate the embryonic role of genes harboring prioritized de novo variants we perfor…

EmbryologyCandidate geneGene ExpressionTranscriptomeMiceDatabase and Informatics MethodsMedicine and Health SciencesExomeExomeExome sequencingGenetics0303 health sciencesMultidisciplinaryComputer-Aided Drug DesignQ030305 genetics & hereditySequence analysisRGenomicsCongenital AnomaliesDNA-Binding Proteinsembryonic structuresAmino Acid AnalysisMedicineTranscriptome AnalysisTracheoesophageal FistulaResearch ArticleDrug Research and DevelopmentBioinformaticsSequence analysisScienceIn silicoBiologyResearch and Analysis Methods03 medical and health sciencesExome SequencingGeneticsCongenital DisordersAnimalsHumansddc:610Molecular Biology TechniquesEsophageal AtresiaMolecular BiologyDNA sequence analysis030304 developmental biologyHomeodomain ProteinsPharmacologyMolecular Biology Assays and Analysis TechniquesGene Expression ProfilingEmbryosDNA HelicasesBiology and Life SciencesComputational BiologyEmbryo MammalianGenome AnalysisFANCBRepressor ProteinsGene expression profilingBiological DatabasesDrug DesignMutation DatabasesMutationDevelopmental Biology
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User Activity Recognition for Energy Saving in Smart Homes

2015

Abstract Energy demand in typical home environments accounts for a significant fraction of the overall consumption in industrialized countries. In such context, the heterogeneity of the involved devices, and the non negligible influence of the human factor make the optimization of energy use a challenging task; effective automated approaches must take into account basic information about users, such as the prediction of their course of actions. Our proposal consists in learning customized structural models for common user activities for predicting the trend of energy consumption; the approach aims to lower energy demand in the proximity of predicted peak loads so as to keep the overall cons…

EngineeringComputer Networks and CommunicationsComputer scienceEnergy managementContext (language use)Information theoryComputer securitycomputer.software_genreTask (project management)Activity recognitionUser Profiling Energy saving Pattern RecognitionHome automationActivity discoveryStructural modelingBuilding management systemConsumption (economics)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEnd userbusiness.industryPeak load avoidanceEnergy consumptionIndustrial engineeringComputer Science ApplicationsEnergy conservationRisk analysis (engineering)Hardware and ArchitectureData miningbusinessRaw datacomputerSoftwareEnergy (signal processing)Information Systems
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Positioning Europe for the EPITRANSCRIPTOMICS challenge

2018

WOS: 000444092300018 PubMed ID: 29671387 The genetic alphabet consists of the four letters: C, A, G, and T in DNA and C,A,G, and U in RNA. Triplets of these four letters jointly encode 20 different amino acids out of which proteins of all organisms are built. This system is universal and is found in all kingdoms of life. However, bases in DNA and RNA can be chemically modified. In DNA, around 10 different modifications are known, and those have been studied intensively over the past 20years. Scientific studies on DNA modifications and proteins that recognize them gave rise to the large field of epigenetic and epigenomic research. The outcome of this intense research field is the discovery t…

Epigenomics0301 basic medicine[SDV]Life Sciences [q-bio]Gene ExpressionDetection of RNA ModificationEpigenesis GeneticTranscriptomechemistry.chemical_compoundEcologyEvolution & EthologyNeoplasmsRNA NeoplasmEuropean FundingComputingMilieux_MISCELLANEOUSRNA Neoplasm/geneticsEpitranscriptomicsEpigenomicsStem CellsDNA NeoplasmNeoplasms/genetics[SDV] Life Sciences [q-bio]EuropeGene Expression Regulation NeoplasticDetection of RNA modificationGenetics & GenomicsComputational biologyBiologyBiochemistry & ProteomicsENCODE03 medical and health sciencesEpigenomics/standardsEpitranscriptomicsModel systemsHumansEpigeneticsDatabase of ModificationDNA Neoplasm/geneticsMolecular BiologyComputational & Systems BiologyEuropean funding[SDV.GEN]Life Sciences [q-bio]/GeneticsGene Expression ProfilingFOS: Clinical medicineNeurosciencesModel SystemsRNACell Biology030104 developmental biologychemistryGene Expression Profiling/methodsAlphabetTranscriptomeDNARNA Biology
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