Search results for "profilin"

showing 10 items of 900 documents

In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets

2018

Monocytes are bone marrow-derived leukocytes that are part of the innate immune system. Monocytes are divided into three subsets: classical, intermediate and non-classical, which can be differentiated by their expression of some surface antigens, mainly CD14 and CD16. These cells are key players in the inflammation process underlying the mechanism of many diseases. Thus, the molecular characterization of these cells may provide very useful information for understanding their biology in health and disease. We performed a multicentric proteomic study with pure classical and non-classical populations derived from 12 healthy donors. The robust workflow used provided reproducible results among t…

0301 basic medicinequantitative proteomicsInnate immune systemFunctional analysisMechanism (biology)CD14Clinical BiochemistryQuantitative proteomicslcsh:QR1-502monocytes; protein profiling; quantitative proteomicsDiseaseComputational biologyCD16Biologyprotein profilingBiochemistryArticlelcsh:Microbiology03 medical and health sciences030104 developmental biologyAntigenStructural BiologymonocytesMolecular Biology
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STRIPAK Members Orchestrate Hippo and Insulin Receptor Signaling to Promote Neural Stem Cell Reactivation

2019

Summary Adult stem cells reactivate from quiescence to maintain tissue homeostasis and in response to injury. How the underlying regulatory signals are integrated is largely unknown. Drosophila neural stem cells (NSCs) also leave quiescence to generate adult neurons and glia, a process that is dependent on Hippo signaling inhibition and activation of the insulin-like receptor (InR)/PI3K/Akt cascade. We performed a transcriptome analysis of individual quiescent and reactivating NSCs harvested directly from Drosophila brains and identified the conserved STRIPAK complex members mob4, cka, and PP2A (microtubule star, mts). We show that PP2A/Mts phosphatase, with its regulatory subunit Widerbors…

0301 basic medicinereactivationendocrine systemMitosisNerve Tissue ProteinsProtein Serine-Threonine KinasesBiologyArticleGeneral Biochemistry Genetics and Molecular BiologyAnimals Genetically ModifiedPhosphatidylinositol 3-Kinases03 medical and health sciences0302 clinical medicineNeural Stem CellsAnimalsDrosophila ProteinsquiescenceProtein Phosphatase 2lcsh:QH301-705.5Protein kinase BCells CulturedPI3K/AKT/mTOR pathwayTissue homeostasisAdaptor Proteins Signal TransducingCell ProliferationHippo signaling pathwayGene Expression ProfilingHippo signalingInR/PI3K/Akt signalingfungiIntracellular Signaling Peptides and ProteinsBrainSTRIPAK membersProtein phosphatase 2Receptor InsulinNeural stem cellCell biologyDrosophila melanogaster030104 developmental biologylcsh:Biology (General)nervous systemHippo signalingSingle-Cell AnalysisTranscriptomeProto-Oncogene Proteins c-akt030217 neurology & neurosurgeryAdult stem cellCell Reports
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Canonical Variate Analysis of Sensory Profiling Data

2015

Principal Component Analysis (PCA) of product mean scores is generally used to obtain a product map from sensory profiling data. However, this approach does not take into account the variance of the product mean scores due to the individual panelist variability. Therefore, Canonical Variate Analysis (CVA) of the product effect in the two-way multivariate analysis of variance (MANOVA) should be considered as a natural alternative analysis to PCA. Indeed, it is the extension of the classical univariate approach used for the analysis of each descriptor separately. This analysis generates successive components maximizing product discrimination as measured by the usual Fisher statistics in analy…

0303 health sciences030309 nutrition & dieteticsComputer scienceUnivariateSensory system04 agricultural and veterinary sciences040401 food scienceSensory analysisSensory Systems03 medical and health sciences0404 agricultural biotechnologyCanonical variate analysisMultivariate analysis of varianceStatisticsPrincipal component analysisProfiling (information science)Analysis of varianceFood ScienceJournal of Sensory Studies
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Grapes: a method and a SAS program for graphical representations of assessor performances

1994

GRAPES computes individual and global analyses of variance for sensory profiling data, consisting of several sessions in which all the panelists gave scores to all the products for a number of attributes. The fitted model takes into account the session effect. GRAPES summarizes the results by means of graphical assessor scatterplots which allow to check and to compare panelist performances, such as the way of using scale, the reliability, the discrimination power and the agreement with the panel. In addition, GRAPES detects the outliers for each of these criterion. The usefulness of GRAPES for the panel leader will be demonstrated using texture and flavor profiling of 4 restructured steaks …

0303 health sciences030309 nutrition & dieteticsComputer sciencebusiness.industry[SDV]Life Sciences [q-bio]Computer aidTEST DE CONSOMMATION04 agricultural and veterinary sciencescomputer.software_genre040401 food scienceSensory analysisSensory Systems[SDV] Life Sciences [q-bio]03 medical and health sciences0404 agricultural biotechnologyOutlierProfiling (information science)Data miningArtificial intelligenceGraphicsbusinesscomputerComputingMilieux_MISCELLANEOUSFood Science
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2013

Controlling the position of the nucleus is vital for a number of cellular processes from yeast to humans. In Drosophila nurse cells, nuclear positioning is crucial during dumping, when nurse cells contract and expel their contents into the oocyte. We provide evidence that in nurse cells, continuous filopodia-like actin cables, growing from the plasma membrane and extending to the nucleus, achieve nuclear positioning. These actin cables move nuclei away from ring canals. When nurse cells contract, actin cables associate laterally with the nuclei, in some cases inducing nuclear turning so that actin cables become partially wound around the nuclei. Our data suggest that a perinuclear actin mes…

0303 health sciencesbiologyArp2/3 complexActin remodelingmacromolecular substancesCell BiologyFilaminActin cytoskeletonGeneral Biochemistry Genetics and Molecular BiologyCell biology03 medical and health sciencesActin remodeling of neurons0302 clinical medicineProfilinbiology.proteinMDia1Molecular BiologyFilopodia030217 neurology & neurosurgery030304 developmental biologyDevelopmental BiologyDevelopmental Cell
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Sensory methodologies and the taste of water

2009

/WOS: 000285178000010; International audience; Describing the taste of water is a challenge since drinking water is supposed to have almost no taste. In this study, different classical sensory methodologies have been applied in order to assess sensory characteristics of water and have been compared: sensory profiling, Temporal Dominance of Sensations and free sorting task. These methodologies present drawbacks: sensory profile and TDS do not provide an effective discrimination of the taste of water and the free sorting task is efficient but does not enable data aggregation. A new methodology based on comparison with a set of references and named “Polarized Sensory Positioning” (PSP) has bee…

030309 nutrition & dieteticsComputer science[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionSensory systemSensory profileMachine learningcomputer.software_genreSensory analysissensory analysis03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringProfiling (information science)0303 health sciencesCommunicationNutrition and Dieteticsbusiness.industrydrinking water[ SDV.IDA ] Life Sciences [q-bio]/Food engineering04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceData aggregatorArtificial intelligencebusinesscomputerpolarized sensory positioning[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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A Clustering approach for profiling LoRaWAN IoT devices

2019

Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be stored in databases and can be processed to improve the technology operation and to detect network anomalies. Acquired data can be also used for profiling operation, in order to group devices according…

050101 languages & linguisticsIoTComputer scienceIoT; LoRa; LoRaWAN; machine learning; k-means; anomaly detection; cluster analysisk-means02 engineering and technologyLoRaSilhouette0202 electrical engineering electronic engineering information engineeringProfiling (information science)Wireless0501 psychology and cognitive sciencesCluster analysisbusiness.industryNetwork packetSettore ING-INF/03 - Telecomunicazioni05 social sciencesk-means clusteringanomaly detectionLoRaWANmachine learning020201 artificial intelligence & image processingAnomaly detectionInternet of ThingsbusinessComputer networkcluster analysis
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Capillary Electrophoresis in Wine Science

2016

International audience; Capillary electrophoresis appeared to be a powerful and reliable technique to analyze the diversity of wine compounds. Wine presents a great variety of natural chemicals coming from the grape berry extraction and the fermentation processes. The first and more abundant after water, ethanol has been quantified in wines via capillary electrophoresis. Other families like organic acids, neutral and acid sugars, polyphenols, amines, thiols, vitamins, and soluble proteins are electrophoretically separated from the complex matrix.Here, we will focus on the different methodologies that have been employed to conduct properly capillary electrophoresis in wine analysis.Two examp…

2. Zero hungerWineChemistryWine compounds010401 analytical chemistryfood and beveragesPolyphenolsProteins04 agricultural and veterinary sciences040401 food science01 natural sciencesVineyard0104 chemical sciencesProtein profilingCapillary electrophoresis0404 agricultural biotechnologyCapillary electrophoresisPolyphenol[SDV.IDA]Life Sciences [q-bio]/Food engineeringGrape berryFermentationWine chemistryFood scienceSulfur compounds
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Genomic organization and promoter characterization of the gene encoding a putative endoplasmic reticulum chaperone, ERp29

2002

Abstract ERp29 is a soluble protein localized in the endoplasmic reticulum (ER) of eukaryotic cells, which is conserved in all mammalian species. The N-terminal domain of ERp29 displays sequence and structural similarity to the protein disulfide isomerase despite the lack of the characteristic double cysteine motif. Although the exact function of ERp29 is not yet known, it was hypothesized that it may facilitate folding and/or export of secretory proteins in/from the ER. ERp29 is induced by ER stress, i.e. accumulation of unfolded proteins in the ER. To gain an insight into the mechanisms regulating ERp29 expression we have cloned and characterized the rat ERp29 gene and studied in details …

5' Flanking RegionRecombinant Fusion ProteinsMolecular Sequence DataCHO CellsBiologyCell LineMiceCricetinaeSequence Homology Nucleic AcidGene expressionTumor Cells CulturedGeneticsAnimalsHumansRNA MessengerLuciferasesPromoter Regions GeneticProtein disulfide-isomeraseGeneHeat-Shock ProteinsPhylogenyBase SequenceGene Expression ProfilingEndoplasmic reticulumPromoter3T3 CellsDNAExonsSequence Analysis DNAGeneral MedicineMolecular biologyIntronsRatsHousekeeping geneSecretory proteinGenesUnfolded protein responseFemaleTranscription Initiation SiteSequence AlignmentHeLa CellsGene
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Transcriptional Response of Saccharomyces cerevisiae to Different Nitrogen Concentrations during Alcoholic Fermentation▿ †

2007

Gene expression profiles of a wine strain of Saccharomyces cerevisiae PYCC4072 were monitored during alcoholic fermentations with three different nitrogen supplies: (i) control fermentation (with enough nitrogen to complete sugar fermentation), (ii) nitrogen-limiting fermentation, and (iii) the addition of nitrogen to the nitrogen-limiting fermentation (refed fermentation). Approximately 70% of the yeast transcriptome was altered in at least one of the fermentation stages studied, revealing the continuous adjustment of yeast cells to stressful conditions. Nitrogen concentration had a decisive effect on gene expression during fermentation. The largest changes in transcription profiles were o…

:Biotecnologia Agrária e Alimentar [Ciências Agrárias]Ciências Agrárias::Biotecnologia Agrária e AlimentarNitrogenSaccharomyces cerevisiaeWineOxidative phosphorylationSaccharomyces cerevisiaeEthanol fermentationApplied Microbiology and BiotechnologySaccharomyces03 medical and health sciencesSaccharomycesTranscripció genèticaGene Expression Regulation FungalExpressió genèticaCluster AnalysisGlycolysis030304 developmental biologyDNA Primers0303 health sciencesScience & TechnologyEcologybiologyEthanol030306 microbiologyReverse Transcriptase Polymerase Chain ReactionGene Expression Profilingfood and beveragesbiology.organism_classificationPhysiology and BiotechnologyYeastRegulonBiochemistryFermentationFermentationFood ScienceBiotechnology
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