Search results for "Specificity."

showing 10 items of 2232 documents

New evidence for the multiplicity of ubiquinone- and inhibitor-binding sites in the mitochondrial complex I.

2000

Determination of the number of ubiquinone- and inhibitor-binding sites in the mitochondrial complex I (NADH:ubiquinone oxidoreductase) is a controversial question with a direct implication for elaborating a suitable model to explain the bioenergetic mechanism of this complicated enzyme. We have used combinations of both selective inhibitors and common ubiquinone-like substrates to demonstrate the multiplicity of the reaction centers in the complex I in contrast with competition studies that have suggested the existence of a unique binding site for ubiquinone. Our results provide new evidence for the existence of at least two freely exchangeable ubiquinone-binding sites with different specif…

BioenergeticsStereochemistryUbiquinoneSubmitochondrial ParticlesBiophysicsBiologyIn Vitro TechniquesBiochemistryModels BiologicalMitochondria HeartSubstrate SpecificityOxidoreductaseAnimalsNADH NADPH OxidoreductasesBinding siteMultiplicity (chemistry)Molecular Biologychemistry.chemical_classificationNADH-Ubiquinone OxidoreductaseBinding SitesElectron Transport Complex IKineticsEnzymechemistryBiochemistryCattleEnergy MetabolismMitochondrial Complex IArchives of biochemistry and biophysics
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Comparative survey of putrescine production from agmatine deamination in different bacteria

2008

This article aims to study putrescine production in Lactobacillus hilgardii strain X1B, an agmatine degrader isolated from wine, and to compare it with three other different species, previously reported as putrescine producers from agmatine: Pseudomonas aeruginosa PAO1, Enterococcus faecalis ATCC11700 and Bacillus cereus CECT 148T. The effect of different biogenic amines, organic acids, cofactors, amino acids and sugars on putrescine production was evaluated. In some cases, a similar effect was found in all the strains studied but the magnitude differed. Arginine, glucose and fructose showed an inhibitory effect, whereas the presence of agmatine induced the production of putrescine in all m…

Biogenic AminesAgmatineArginineOtras Ciencias Biológicasved/biology.organism_classification_rank.speciesSpermineWineLactobacillus hilgardiiBiologyArginineMicrobiologyEnterococcus faecalisCiencias Biológicaschemistry.chemical_compoundBacillus cereusSpecies SpecificityEnterococcus faecalisPutrescineved/biologyBIOGENIC AMINESWINEbiology.organism_classificationPUTRESCINESpermidineAgmatine deiminaseLactobacilluschemistryBiochemistryPseudomonas aeruginosaPutrescineAGMATINE DEIMINASEAgmatineCIENCIAS NATURALES Y EXACTASFood ScienceFood Microbiology
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Biogenic amines in wines from three Spanish regions.

2005

One hundred and sixty-three wines from La Rioja, Utiel-Requena, and Tarragona were analyzed to determine if there were any differences in the concentrations of six biogenic amines that are found in these three regions. The influence of grape variety, type of vinification, wine pH, malolactic fermentation, and storage in bottle on biogenic amine concentrations was studied. Results show important differences in putrescine and histamine concentrations among regions, varieties of grape, and type of wine; differences were less appreciable for the remaining biogenic amines studied. Low pH prevented biogenic amine formation. Malolactic fermentation and short storage periods in bottle (3-6 months) …

Biogenic AminesFood HandlingWinechemistry.chemical_compoundSpecies SpecificityBiogenic amineMalolactic fermentationPutrescineVitisFood sciencePediococcusWinemakingWinechemistry.chemical_classificationFood preservationfood and beveragesGeneral ChemistryTyramineHydrogen-Ion ConcentrationLactic acidchemistryLactobacillaceaeSpainFruitFermentationPutrescineGeneral Agricultural and Biological SciencesHistamineJournal of agricultural and food chemistry
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Detection of condition-specific marker genes from RNA-seq data with MGFR

2019

The identification of condition-specific genes is key to advancing our understanding of cell fate decisions and disease development. Differential gene expression analysis (DGEA) has been the standard tool for this task. However, the amount of samples that modern transcriptomic technologies allow us to study, makes DGEA a daunting task. On the other hand, experiments with low numbers of replicates lack the statistical power to detect differentially expressed genes. We have previously developed MGFM, a tool for marker gene detection from microarrays, that is particularly useful in the latter case. Here, we have adapted the algorithm behind MGFM to detect markers in RNA-seq data. MGFR groups s…

Bioinformaticslcsh:MedicineRNA-SeqComputational biologyMarker genesCell fate determinationBiologyMarker geneGeneral Biochemistry Genetics and Molecular BiologyTranscriptomeBioconductor03 medical and health sciences0302 clinical medicineGene expressionSingle cellRNA-SeqTranscriptomicsGene030304 developmental biology0303 health sciencesGeneral Neurosciencelcsh:RCell-type specificityGenomicsGeneral MedicineTissue specificity030220 oncology & carcinogenesisGene expressionR-packageDNA microarrayGeneral Agricultural and Biological SciencesPeerJ
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A motif-independent metric for DNA sequence specificity

2011

Abstract Background Genome-wide mapping of protein-DNA interactions has been widely used to investigate biological functions of the genome. An important question is to what extent such interactions are regulated at the DNA sequence level. However, current investigation is hampered by the lack of computational methods for systematic evaluating sequence specificity. Results We present a simple, unbiased quantitative measure for DNA sequence specificity called the Motif Independent Measure (MIM). By analyzing both simulated and real experimental data, we found that the MIM measure can be used to detect sequence specificity independent of presence of transcription factor (TF) binding motifs. We…

Biologylcsh:Computer applications to medicine. Medical informaticsDNA-binding proteinGenomeBiochemistryDNA sequencingCell Line03 medical and health scienceschemistry.chemical_compound0302 clinical medicineStructural BiologyHumansTranscription factorMolecular Biologylcsh:QH301-705.5Sequence Specificity Epigenomics Bioinformatics030304 developmental biologyEpigenomicsGenetics0303 health sciencesBase SequenceSettore INF/01 - InformaticaGenome HumanApplied MathematicsMethodology ArticleDNAComputer Science ApplicationsDNA-Binding Proteinschemistrylcsh:Biology (General)lcsh:R858-859.7Human genomeDNA microarray030217 neurology & neurosurgeryDNAAlgorithmsSoftwareGenome-Wide Association StudyProtein BindingTranscription FactorsBMC Bioinformatics
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Label-free piezoelectric biosensor for prognosis and diagnosis of Systemic Lupus Erythematosus

2017

[EN] An autoantigen piezoelectric sensor to quantify specific circulating autoantibodies in human serum is developed. The sensor consisted on a quartz crystal microbalance with dissipation monitoring (QCM-D) where TRIM21 and TROVE2 autoantigens were covalently immobilized, allowing the selective determination of autoantibodies for diagnosis and prognosis of Systemic Lupus Erythematosus (SLE). The sensitivity of the biosensor, measured as IC50 value, was 1.51 U/mL and 0.32 U/mL, for anti-TRIM21 and anti-TROVE2 circulating autoantibodies, respectively. The sensor is also able to establish a structural interaction fingerprint pattern or profile of circulating autoantibodies, what allows scorin…

Biomedical EngineeringBiophysicsEarly detectionBiosensing Techniques02 engineering and technologyImmunosensorDissipation monitoringAutoantigensSensitivity and SpecificitySystemic Lupus Erythematosus01 natural sciencesQuartz crystal microbalanceRNA Small CytoplasmicDiagnosisQUIMICA ANALITICAElectrochemistryHumansLupus Erythematosus SystemicMedicineMultiplexPiezoelectric biosensorAutoantibodiesLabel freeRibonucleoproteinbusiness.industry010401 analytical chemistryAutoantibodyGeneral MedicineQuartz crystal microbalancePrognosis021001 nanoscience & nanotechnology0104 chemical sciencesInteraction fingerprintRibonucleoproteinsImmunologyQuartz Crystal Microbalance Techniques0210 nano-technologybusinessBiosensorBiotechnologyBiosensors and Bioelectronics
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Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability.

2007

A method for assessing Granger causal relationships in bivariate time series, based on nonlinear autoregressive (NAR) and nonlinear autoregressive exogenous (NARX) models is presented. The method evaluates bilateral interactions between two time series by quantifying the predictability improvement (PI) of the output time series when the dynamics associated with the input time series are included, i.e., moving from NAR to NARX prediction. The NARX model identification was performed by the optimal parameter search (OPS) algorithm, and its results were compared to the least-squares method to determine the most appropriate method to be used for experimental data. The statistical significance of…

Biomedical EngineeringBlood PressureBivariate analysisDirectionalitySensitivity and SpecificitySurrogate dataFeedbackNonlinear parametric modelGranger causalityControl theoryHeart RateOptimal parameter searchStatisticsAnimalsHumansComputer SimulationPredictabilityHeart rate variabilityMathematicsNonlinear autoregressive exogenous modelCardiovascular regulationSystem identificationModels CardiovascularNonlinear systemAutoregressive modelNonlinear DynamicsAutoregressive exogenous modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRegression AnalysisSurrogate dataArterial pressure variabilityAlgorithmsAnnals of biomedical engineering
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Mutual nonlinear prediction of cardiovascular variability series: Comparison between exogenous and autoregressive exogenous models

2007

A model-based approach to perform mutual nonlinear prediction of short cardiovascular variability series is presented. The approach is based on identifying exogenous (X) and autoregressive exogenous (ARX) models by K-nearest neighbors local linear approximation, and estimates the predictability of a series given the other as the squared correlation between original and predicted values of the series. The method was first tested on simulations reproducing different types of interaction between non-identical Henon maps, and then applied to heart rate (HR) and blood pressure (BP) variability series measured in healthy subjects at rest and after head-up tilt. Simulations showed that different c…

Biomedical EngineeringBlood PressureSensitivity and SpecificityCorrelationPosition (vector)Control theoryHeart RateTilt-Table TestApplied mathematicsHumansComputer SimulationDiagnosis Computer-AssistedPredictabilityMathematicsSeries (mathematics)Models CardiovascularReproducibility of ResultsHeartCoupling (probability)Tilt (optics)Autoregressive modelNonlinear DynamicsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaRegression AnalysisLinear approximationAlgorithms
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Evolution and biomineralization of pteropod shells

2021

12 pages; International audience; Shelled pteropods, known as sea butterflies, are a group of small gastropods that spend their entire lives swimming and drifting in the open ocean. They build thin shells of aragonite, a metastable polymorph of calcium carbonate. Pteropod shells have been shown to experience dissolution and reduced thickness with a decrease in pH and therefore represent valuable bioindicators to monitor the impacts of ocean acidification. Over the past decades, several studies have highlighted the striking diversity of shell microstructures in pteropods, with exceptional mechanical properties, but their evolution and future in acidified waters remains uncertain. Here, we re…

Biomineralization0106 biological sciencesGastropodaShell (structure)Structural diversityContext (language use)engineering.material010603 evolutionary biology01 natural sciencesShellsCalcium Carbonate03 medical and health sciencesPaleontologychemistry.chemical_compoundSpecies SpecificityAnimal ShellsStructural BiologyThin shellsAnimalsBiominerals; Pteropods; Mollusc; Shells; Helical microstructure; Aragonite curved fibresSeawater14. Life underwater[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/Biomaterials030304 developmental biology0303 health sciencesFossils[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]AragoniteOcean acidificationBiodiversityHydrogen-Ion ConcentrationBiological EvolutionAragonite curved fibresPteropodsCalcium carbonatechemistry13. Climate actionMicroscopy Electron ScanningBiomineralsengineeringHelical microstructureMolluscGeologyBiomineralizationJournal of Structural Biology
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Expression Patterns and Subcellular Localization of Carbonic Anhydrases Are Developmentally Regulated during Tooth Formation

2014

Abstract Carbonic anhydrases (CAs) play fundamental roles in several physiological events, and emerging evidence points at their involvement in an array of disorders, including cancer. The expression of CAs in the different cells of teeth is unknown, let alone their expression patterns during odontogenesis. As a first step towards understanding the role of CAs during odontogenesis, we used immunohistochemistry, histochemistry and in situ hybridization to reveal hitherto unknown dynamic distribution patterns of eight CAs in mice. The most salient findings include expression of CAII/Car2 not only in maturation-stage ameloblasts (MA) but also in the papillary layer, dental papilla mesenchyme, …

BiomineralizationPathologyPhysiologylcsh:MedicineMiceLääketieteen bioteknologia - Medical biotechnologyMolecular Cell BiologyMorphogenesisMedicine and Health Scienceslcsh:ScienceIn Situ HybridizationCarbonic AnhydrasesRegulation of gene expressionMultidisciplinaryGene Expression Regulation DevelopmentalAnimal ModelsEpithelial cell rests of MalassezImmunohistochemistryCell biologyIsoenzymesProtein Transportmedicine.anatomical_structureOrgan SpecificityOdontogenesisAnatomyCellular Structures and OrganellesAmeloblastResearch ArticleCell Physiologymedicine.medical_specialtyHistologyMesenchymeMouse ModelsIn situ hybridizationBiologyResearch and Analysis MethodsGene Expression Regulation EnzymologicModel Organismsstomatognathic systemNotochordmedicineAnimalsDental papillalcsh:RBiology and Life SciencesCell BiologyMolecular DevelopmentOdontoblastAnimals Newbornlcsh:QLysosomesPhysiological ProcessesToothDevelopmental BiologyPLoS ONE
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