Search results for " profiling"

showing 10 items of 826 documents

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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Network pharmacology of cancer: From understanding of complex interactomes to the design of multi-target specific therapeutics from nature

2015

Despite massive investments in drug research and development, the significant decline in the number of new drugs approved or translated to clinical use raises the question, whether single targeted drug discovery is the right approach. To combat complex systemic diseases that harbour robust biological networks such as cancer, single target intervention is proved to be ineffective. In such cases, network pharmacology approaches are highly useful, because they differ from conventional drug discovery by addressing the ability of drugs to target numerous proteins or networks involved in a disease. Pleiotropic natural products are one of the promising strategies due to their multi-targeting and d…

EpigenomicsProteomics0301 basic medicineDrugmedia_common.quotation_subjectSystems biologyGene regulatory networkSynthetic lethalityDiseaseComputational biologyBiologyPharmacology03 medical and health sciencesNeoplasmsDrug DiscoveryBiomarkers TumormedicineAnimalsHumansMetabolomicsGene Regulatory NetworksMolecular Targeted TherapyProtein Interaction Mapsmedia_commonPharmacologyPlants MedicinalDrug discoveryGene Expression ProfilingSystems BiologyCancermedicine.diseaseAntineoplastic Agents PhytogenicGene Expression Regulation Neoplastic030104 developmental biologyBiological networkPhytotherapySignal TransductionPharmacological Research
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Proteomic signature of the Dravet syndrome in the genetic Scn1a-A1783V mouse model

2021

AbstractBackgroundDravet syndrome is a rare, severe pediatric epileptic encephalopathy associated with intellectual and motor disabilities. Proteomic profiling in a mouse model of Dravet syndrome can provide information about the molecular consequences of the genetic deficiency and about pathophysiological mechanisms developing during the disease course.MethodsA knock-in mouse model of Dravet syndrome with Scn1a haploinsufficiency was used for whole proteome, seizure and behavioral analysis. Hippocampal tissue was dissected from two-(prior to epilepsy manifestation) and four-(following epilepsy manifestation) week-old male mice and analyzed using LC-MS/MS with label-free quantification. Pro…

EpilepsyDravet syndromeProteomic ProfilingProteomeSynaptic plasticitymedicineHippocampusBiologymedicine.diseaseHaploinsufficiencyNeuroscienceAstrogliosis
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Phylogenomics reveals deep molluscan relationships.

2011

Evolutionary relationships among the eight major lineages of Mollusca have remained unresolved despite their diversity and importance. Previous investigations of molluscan phylogeny, based primarily on nuclear ribosomal gene sequences1–3 or morphological data4, have been unsuccessful at elucidating these relationships. Recently, phylogenomic studies using dozens to hundreds of genes have greatly improved our understanding of deep animal relationships5. However, limited genomic resources spanning molluscan diversity has prevented use of a phylogenomic approach. Here we use transcriptome and genome data from all major lineages (except Monoplacophora) and recover a well-supported topology for …

Expressed Sequence TagsMultidisciplinaryGenomebiologyAculiferaGene Expression ProfilingGastropodaZoologyCaudofoveataGenomicsMonoplacophoraConchiferabiology.organism_classificationModels BiologicalArticleBivalviaMonophylyAplacophoraGenesPhylogeneticsMolluscaPhylogenomicsAnimalsPhylogenyNature
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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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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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