Search results for "DATA"

showing 10 items of 12992 documents

Compendium of TCDD-mediated transcriptomic response datasets in mammalian model systems.

2017

Background 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is the most potent congener of the dioxin class of environmental contaminants. Exposure to TCDD causes a wide range of toxic outcomes, ranging from chloracne to acute lethality. The severity of toxicity is highly dependent on the aryl hydrocarbon receptor (AHR). Binding of TCDD to the AHR leads to changes in transcription of numerous genes. Studies evaluating the transcriptional changes brought on by TCDD may provide valuable insight into the role of the AHR in human health and disease. We therefore compiled a collection of transcriptomic datasets that can be used to aid the scientific community in better understanding the transcriptiona…

0301 basic medicineMaleTCDDPolychlorinated DibenzodioxinsBioinformaticsMicroarray datasetsAHRWhite adipose tissueBiologyWeb BrowserProteomics413 Veterinary scienceMedical and Health SciencesCell LineTranscriptome03 medical and health sciencesMice0302 clinical medicineTranscription (biology)Information and Computing SciencesmedicineGeneticsAnimalsHumansheterocyclic compoundsGeneGeneticsGene Expression ProfilingRComputational BiologyBiological SciencesAryl hydrocarbon receptormedicine.disease3. Good healthRatsChloracnestomatognathic diseases030104 developmental biologyGene Expression Regulation030220 oncology & carcinogenesisAgent Orange & Dioxinbiology.proteinEnvironmental PollutantsFemaleDNA microarrayTranscriptomeSoftwareBiotechnology
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Impact of the BioFire FilmArray gastrointestinal panel on patient care and infection control.

2020

Contains fulltext : 218876.pdf (Publisher’s version ) (Open Access) OBJECTIVES: Conventional routine PCR testing for gastrointestinal infections is generally based on pathogen related panels specifically requested by clinicians and can be erroneous and time consuming. The BioFire FilmArray gastrointestinal (GI) panel combines 22 pathogens into a single cartridge-based test on a random-access system, thereby reducing the turnaround time to less than 2 hours. We described the clinical impact of implementing the BioFire FilmArray on patients with gastroenteritis in our hospital. METHODS: Patients attending a Dutch tertiary care center (Radboud University Medical Center), from whom stool sample…

0301 basic medicineMaleTime Factorslnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]Pathology and Laboratory MedicineTertiary carePolymerase Chain ReactionTertiary Care CentersFeces0302 clinical medicineClinical historyAntibioticsMedicine and Health SciencesMedicineInfection controlUniversity medicalGastrointestinal Infections030212 general & internal medicineChildNetherlandsAged 80 and overPotential impactMultidisciplinaryWomen's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17]AntimicrobialsQRDrugsGastrointestinal AnalysisMiddle AgedGastroenteritisBacterial PathogensBioassays and Physiological AnalysisMolecular Diagnostic TechniquesMedical MicrobiologyChild PreschoolViral PathogensVirusesMedicinePathogensResearch ArticleAdultmedicine.medical_specialtyIsolation (health care)AdolescentClostridium DifficileScience030106 microbiologyGastroenterology and HepatologyResearch and Analysis MethodsMicrobiologyPatient care03 medical and health sciencesYoung AdultDiagnostic MedicineInternal medicineMicrobial ControlHumansMicrobial PathogensAgedPharmacologyInfection ControlBacteriabusiness.industryGut BacteriaInfant NewbornOrganismsInfantBiology and Life SciencesPatient datalnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4]Patient CarebusinessPloS one
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From mammals back to birds: Host-switch of the acanthocephalan Corynosoma australe from pinnipeds to the Magellanic penguin Spheniscus magellanicus.

2017

Trophically-transmitted parasites are regularly exposed to potential new hosts through food web interactions. Successful colonization, or switching, to novel hosts, occur readily when ?donor? and ?target? hosts are phylogenetically related, whereas switching between distantly related hosts is rare and may result from stochastic factors (i.e. rare favourable mutations). This study investigates a host-switching event between a marine acanthocephalan specific to pinnipeds that is apparently able to reproduce in Magellanic penguins Spheniscus magellanicus from Brazil. Detailed analysis of morphological and morphometrical data from acanthocephalans from penguins indicates that they belong to Cor…

0301 basic medicineMaleTopographySpheniscidaeEcologia animalMarine and Aquatic Scienceslcsh:MedicineAnimal PhylogeneticsSpheniscus magellanicusAcanthocephala//purl.org/becyt/ford/1 [https]OrnithologyMAGELLANIC PENGUINZoologialcsh:SciencePhylogenyData ManagementIslandsMammalsMultidisciplinarybiologyEcologyEukaryota030108 mycology & parasitologySea LionsSeabirdsPhylogeneticsFecundityVertebratesFemaleAcanthocephalaPINNIPEDSCIENCIAS NATURALES Y EXACTASSex ratioMarine OrnithologyResearch ArticleComputer and Information SciencesOtras Ciencias BiológicasZoologyMarine BiologyPenguinsHost-Parasite InteractionsCiencias BiológicasBirds03 medical and health sciencesPopulation MetricsAnimalsEvolutionary SystematicsSex Ratio//purl.org/becyt/ford/1.6 [https]TaxonomyLandformsEvolutionary BiologyPopulation BiologyArctocephalus australisFur Sealslcsh:ROrganismsBiology and Life SciencesGeomorphologyOtaria flavescensbiology.organism_classificationSpheniscidaeAmniotesEarth Scienceslcsh:QCadenes alimentàries (Ecologia)Fur sealEcological fittingZoologyPLoS ONE
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Influenza like Illness among Medical Residents Anticipates Influenza Diffusion in General Population: Data from a National Survey among Italian Medic…

2016

The aim of this multicentre study was to assess incidence of influenza like illness (ILI) among Italian medical residents (MRs) during 2011±2012 influenza season, to detect variables associated with ILI and to compare estimated ILI incidence among MRs and general population. A cross-sectional survey was carried out throughout an anonymous questionnaire administered to all MRs attending the post-graduate medical schools of 18 Italian Universities. At the same time an analysis of the ILI incidence in the Italian general population was conducted through the Italian Influenza Surveillance Network. Of a total of 2,506 MRs, 1,191 (47.5%) reported at least one ILI episode. A higher proportion of I…

0301 basic medicineMaleViral DiseasesHospital settingEpidemiologyIatrogenic DiseasePopulation DynamicsSocial Scienceslcsh:MedicineGeographical Locations0302 clinical medicineSociologyMedicine and Health SciencesMedicineEthnicitiesCumulative incidencePublic and Occupational Health030212 general & internal medicinelcsh:Scienceeducation.field_of_studyMultidisciplinaryIncidence (epidemiology)IncidenceVaccinationvirus diseasesVaccination and ImmunizationItalian PeopleVaccinationEuropeInfectious DiseasesItalyInfluenza VaccinesPopulation dataEngineering and TechnologyFemaleMedical emergencySafety EquipmentSafetyResearch ArticleInfectious Disease Control030106 microbiologyPopulationImmunologyEquipmentDisease SurveillanceInfluenza Community outbreak Influenza vaccines Hygiene and hospital infections ILI IncidenceEducation03 medical and health sciencesInfluenza HumanHumanseducationInfluenza-like illnessPopulation Biologybusiness.industrylcsh:RInternship and ResidencyBiology and Life Sciencesmedicine.diseaseInfluenzaGeographic DistributionNorthern italyrespiratory tract diseasesMedical EducationInfectious Disease SurveillancePeople and PlacesPopulation Groupingslcsh:QPreventive MedicinebusinessMedical HumanitiesDemography
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Association of metformin administration with gut microbiome dysbiosis in healthy volunteers

2018

Background Metformin is a widely used first-line drug for treatment of type 2 diabetes. Despite its advantages, metformin has variable therapeutic effects, contraindications, and side effects. Here, for the very first time, we investigate the short-term effect of metformin on the composition of healthy human gut microbiota. Methods We used an exploratory longitudinal study design in which the first sample from an individual was the control for further samples. Eighteen healthy individuals were treated with metformin (2 × 850 mg) for 7 days. Stool samples were collected at three time points: prior to administration, 24 hours and 7 days after metformin administration. Taxonomic composition of…

0301 basic medicineMaleendocrine system diseasesPhysiologylcsh:MedicineType 2 diabetesGut floraPathology and Laboratory MedicineOpportunistic Pathogens0302 clinical medicineRNA Ribosomal 16SMedicine and Health SciencesLongitudinal Studieslcsh:ScienceData ManagementMultidisciplinarybiologydigestive oral and skin physiologyHigh-Throughput Nucleotide SequencingGenomicsHealthy VolunteersMetformin3. Good healthMetforminBacterial PathogensTolerabilityMedical MicrobiologyFemalePathogensmedicine.drugResearch ArticleMicrobial TaxonomyAdultDNA BacterialEscherichiaComputer and Information SciencesClostridiaceae030209 endocrinology & metabolismMicrobial GenomicsPlaceboDNA RibosomalMicrobiologyDrug Administration Schedule03 medical and health sciencesYoung AdultEnterobacteriaceaeAdverse ReactionsmedicineGeneticsHumansMicrobiomeMicrobial PathogensTaxonomyPharmacologyClostridiumBacteriabusiness.industryPeptostreptococcusTherapeutic effectlcsh:RGut BacteriaOrganismsBiology and Life SciencesSequence Analysis DNAmedicine.diseasebiology.organism_classificationGastrointestinal Microbiome030104 developmental biologyDysbiosislcsh:QMicrobiomebusinessDysbiosisPLOS ONE
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2019

Using the English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between the 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm using a reduced Google matrix (REGOMAX) allows us to take account both of direct Markov transitions between these articles and also of indirect transitions generated by the pathways between them via the global Wikipedia network. This approach therefore provides a compact description of interactions between these articles that allows us to determine the friendship networks between them, as well as the PageRank sensitivity of countries to p…

0301 basic medicineMarket capitalizationMultidisciplinaryGoogle matrixbusiness.industrymedia_common.quotation_subject01 natural sciencesData sciencelaw.invention03 medical and health sciencesFriendship030104 developmental biologyPageRanklaw0103 physical sciencesThe InternetBusiness010306 general physicsNetwork analysismedia_commonPLOS ONE
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Conf-VLKA: A structure-based revisitation of the Virtual Lock-and-key Approach

2016

In a previous work, we developed the in house Virtual Lock-and-Key Approach (VLKA) in order to evaluate target assignment starting from molecular descriptors calculated on known inhibitors used as an information source. This protocol was able to predict the correct biological target for the whole dataset with a good degree of reliability (80%), and proved experimentally, which was useful for the target fishing of unknown compounds. In this paper, we tried to remodel the previous in house developed VLKA in a more sophisticated one in order to evaluate the influence of 3D conformation of ligands on the accuracy of the prediction. We applied the same previous algorithm of scoring and ranking b…

0301 basic medicineMaterials Chemistry2506 Metals and AlloysInhibitorStructure-basedComputer scienceProtein ConformationProtein Data Bank (RCSB PDB)Molecular ConformationTarget fishingMolecular Dynamics Simulationcomputer.software_genreLigands01 natural sciencesDockingVlka03 medical and health sciencesMolecular descriptorMaterials ChemistryHumansPhysical and Theoretical ChemistryCluster analysisDatabases ProteinSimulationSpectroscopyBinding SitesProteinscomputer.file_formatDescriptorProtein Data BankComputer Graphics and Computer-Aided Design0104 chemical sciencesMolecular Docking Simulation010404 medicinal & biomolecular chemistry030104 developmental biologyProtein–ligand dockingBiological targetDocking (molecular)Biological targetStructure basedLigand-basedData miningcomputerAlgorithmsSoftwareProtein Binding
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Towards development of a statistical framework to evaluate myotonic dystrophy type 1 mRNA biomarkers in the context of a clinical trial

2020

AbstractMyotonic dystrophy type 1 (DM1) is a rare genetic disorder, characterised by muscular dystrophy, myotonia, and other symptoms. DM1 is caused by the expansion of a CTG repeat in the 3’-untranslated region of DMPK. Longer CTG expansions are associated with greater symptom severity and earlier age at onset. The primary mechanism of pathogenesis is thought to be mediated by a gain of function of the CUG-containing RNA, that leads to trans-dysregulation of RNA metabolism of many other genes. Specifically, the alternative splicing (AS) and alternative polyadenylation (APA) of many genes is known to be disrupted. In the context of clinical trials of emerging DM1 treatments, it is important…

0301 basic medicineMicroarrayPhysiologyMicroarraysBioinformaticsBiochemistryMachine Learning0302 clinical medicineMathematical and Statistical TechniquesMedicine and Health SciencesMyotonic DystrophyMuscular dystrophyOligonucleotide Array Sequence AnalysisClinical Trials as TopicMultidisciplinaryMusclesQStatisticsRGenetic disorderMuscle AnalysisBody FluidsNucleic acidsBloodBioassays and Physiological AnalysisTreatment OutcomeGenetic DiseasesPhysical SciencesMedicineRegression AnalysisAnatomyDatabases Nucleic AcidResearch Articlemusculoskeletal diseasesGenetic Markerscongenital hereditary and neonatal diseases and abnormalitiesScienceContext (language use)Linear Regression AnalysisBiostatisticsResearch and Analysis MethodsPolyadenylationMyotonic dystrophyMyotonin-Protein Kinase03 medical and health sciencesmedicineGeneticsHumansRNA MessengerStatistical MethodsLeast-Squares AnalysisGeneClinical GeneticsModels Geneticbusiness.industryAlternative splicingBiology and Life Sciencesmedicine.diseaseMyotoniaAlternative Splicing030104 developmental biologyRNA processingRNAGene expressionbusinessTrinucleotide repeat expansionTrinucleotide Repeat Expansion030217 neurology & neurosurgeryBiomarkersMathematicsForecastingPLoS ONE
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Host and environmental factors affecting the intestinal microbiota in chickens

2018

The initial development of intestinal microbiota in poultry plays an important role in production performance, overall health and resistance against microbial infections. Multiplexed sequencing of 16S ribosomal RNA gene amplicons is often used in studies, such as feed intervention or antimicrobial drug trials, to determine corresponding effects on the composition of intestinal microbiota. However, considerable variation of intestinal microbiota composition has been observed both within and across studies. Such variation may in part be attributed to technical factors, such as sampling procedures, sample storage, DNA extraction, the choice of PCR primers and corresponding region to be sequenc…

0301 basic medicineMicrobiology (medical)030106 microbiologyBiosecurityConfounding factorslcsh:QR1-502ZoologymicrobiomeReviewGut microbiotaGut floraMicrobiologylcsh:MicrobiologyPoultry03 medical and health sciencesData sequencesMicrobiologieColonizationMicrobiomeconfounding factors16S rRNAVLAGbiologyAnimal healthgut microbiotaHost (biology)poultrybiology.organism_classificationgut healthAntimicrobial drug030104 developmental biologyGut healthMicrobiome
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The macroecology of cancer incidences in humans is associated with large-scale assemblages of endemic infections.

2018

8 pages; International audience; It is now well supported that 20% of human cancers have an infectious causation (i.e., oncogenic agents). Accumulating evidence suggests that aside from this direct role, other infectious agents may also indirectly affect cancer epidemiology through interactions with the oncogenic agents within the wider infection community. Here, we address this hypothesis via analysis of large-scale global data to identify associations between human cancer incidence and assemblages of neglected infectious agents. We focus on a gradient of three widely-distributed cancers with an infectious cause: bladder (~2% of recorded cancer cases are due to Shistosoma haematobium), liv…

0301 basic medicineMicrobiology (medical)Endemic Diseases[SDV.CAN]Life Sciences [q-bio]/CancerMicrobiologyBiomesHelicobacter Infections[ SDV.CAN ] Life Sciences [q-bio]/Cancer03 medical and health sciencesSchistosomiasis haematobiaEnvironmental healthNeoplasmsPathogen-cancer interactionsEpidemiology of cancerGeneticsmedicine[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsHumansStomach cancerMolecular BiologyData miningEcology Evolution Behavior and SystematicsHuman cancer incidencesBladder cancerCancer preventionbiologyIncidenceCancerHelicobacter pyloriHepatitis Bmedicine.diseasebiology.organism_classificationHepatitis BHepatitis C3. Good health030104 developmental biologyInfectious DiseasesNeglected diseasesHost-Pathogen InteractionsFemalePublic HealthPublic health strategiesLiver cancer[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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