Search results for "RME"

showing 10 items of 6748 documents

Generation of three human iPSC lines from PLAN (PLA2G6-associated neurodegeneration) patients

2021

© 2021 The Authors.

0301 basic medicineQH301-705.5Cellular differentiationInduced Pluripotent Stem CellsNeuroaxonal Dystrophies:Cells::Stem Cells::Adult Stem Cells::Induced Pluripotent Stem Cells [ANATOMY]Biologymedicine.disease_cause:células::células madre::células madre adultas::células madre pluripotentes inducidas [ANATOMÍA]Sistema nerviós - DegeneracióCell LineDermal fibroblastGroup VI Phospholipases A203 medical and health sciencesKruppel-Like Factor 40302 clinical medicineSOX2medicineHumans:enfermedades del sistema nervioso::enfermedades neurodegenerativas [ENFERMEDADES]Biology (General)Induced pluripotent stem cellMutationNeurodegenerationCell DifferentiationCell BiologyGeneral Medicinemedicine.diseaseCellular Reprogramming030104 developmental biologyKLF4:Nervous System Diseases::Neurodegenerative Diseases [DISEASES]MutationCancer researchMalalties raresReprogramming030217 neurology & neurosurgeryGenèticaDevelopmental BiologyStem Cell Research
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A Simple Method to Predict Blood-Brain Barrier Permeability of Drug- Like Compounds Using Classification Trees

2017

Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challenging task; despite the numerous efforts realized to predict/measure BBB passage, they still have several drawbacks. Methods: The prediction of the permeability through the BBB is carried out using classification trees. A large data set of 497 compounds (recently published) is selected to develop the tree model. Results: The best model shows an accuracy higher than 87.6% for training set; the model was also validated using 10-fold cross-validation procedure and through a test set achieving accuracy values of 86.1% and 87.9%, correspondingly. We give a brief explanation, in structural terms, o…

0301 basic medicineQuantitative structure–activity relationshipComputer scienceDatasets as TopicQuantitative Structure-Activity Relationshipcomputer.software_genre01 natural sciencesPermeability03 medical and health sciencesMolecular descriptorDrug DiscoveryInternational literatureComputer SimulationTraining setDecision tree learningDecision Trees0104 chemical sciences010404 medicinal & biomolecular chemistry030104 developmental biologyPharmaceutical PreparationsBlood-Brain BarrierTest setData miningBlood brain barrier permeabilitycomputerAlgorithmsDecision tree modelMedicinal Chemistry
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The genetic architecture of low-temperature adaptation in the wine yeast Saccharomyces cerevisiae

2017

[Background] Low-temperature growth and fermentation of wine yeast can enhance wine aroma and make them highly desirable traits for the industry. Elucidating response to cold in Saccharomyces cerevisiae is, therefore, of paramount importance to select or genetically improve new wine strains. As most enological traits of industrial importance in yeasts, adaptation to low temperature is a polygenic trait regulated by many interacting loci.

0301 basic medicineQuantitative trait lociGenotype030106 microbiologyAroma of wineSaccharomyces cerevisiaeSaccharomyces cerevisiaeQuantitative trait locusBiologyEvolution Molecular03 medical and health sciencesQuantitative Trait HeritableGene FrequencyStress PhysiologicalGene Expression Regulation FungalGenetic variationGeneticsSubtelomeresAllelesGenetic Association StudiesPhylogenyGeneticsWineReciprocal hemizygosity analysisCold adaptationdigestive oral and skin physiologyChromosome Mappingfood and beveragesGenomicsbiology.organism_classificationAdaptation PhysiologicalIndustrial yeastGenetic architectureCold TemperatureYeast in winemaking030104 developmental biologyPhenotypeLipid asymmetryFermentationAdaptationGenome FungalResearch ArticleBiotechnology
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A large factory-scale application of selected autochthonous lactic acid bacteria for PDO Pecorino Siciliano cheese production

2016

The main hypothesis of this study was that the autochthonous lactic acid bacteria (LAB) selected for their dairy traits are able to stabilize the production of PDO (Protected Denomination of Origin) Pecorino Siciliano cheese, preserving its typicality. The experimental plan included the application of a multi-strain lactic acid bacteria (LAB) culture, composed of starter (Lactococcus lactis subsp. lactis CAG4 and CAG37) and non starter (Enterococcus faecalis PSL71, Lactococcus garviae PSL67 and Streptococcus macedonicus PSL72) strains, during the traditional production of cheese at large scale level in six factories located in different areas of Sicily. The cheese making processes were foll…

0301 basic medicineRAPD-PCRLactococcus garviaeStarter lactic acid bacteria030106 microbiologyNon starter lactic acid bacteria; RAPD-PCR; Starter lactic acid bacteria; Traditional cheese; TypicalityColony Count MicrobialNon starter lactic acid bacteriaBiologyMicrobiologyEnterococcus faecalis03 medical and health scienceschemistry.chemical_compoundStarterCheeseRNA Ribosomal 16SEnterococcus faecalisAnimalsSettore AGR/18 - Nutrizione E Alimentazione AnimaleFood scienceStreptococcus macedonicusNon starter lactic acid bacteria RAPD-PCR Starter lactic acid bacteria Traditional cheese TypicalityTypicalityLactococcus lactisStreptococcusfood and beveragesTraditional cheeseHydrogen-Ion Concentrationbiology.organism_classificationRandom Amplified Polymorphic DNA TechniqueRAPDLactic acidLactococcus lactisLactobacillusMilkchemistryLactobacillaceaeFermentationFood MicrobiologyBacteriaNon starter lactic acid bacteria RAPD-PCR Starter lactic acid bacteria Traditional cheese TypicalitySettore AGR/16 - Microbiologia AgrariaFood Science
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Evolution of Hemoglobin Genes in Codfishes Influenced by Ocean Depth

2017

AbstractUnderstanding the genetic basis of adaptation is one of the main enigmas of evolutionary biology. Among vertebrates, hemoglobin has been well documented as a key trait for adaptation to different environments. Here, we investigate the role of hemoglobins in adaptation to ocean depth in the diverse teleost order Gadiformes, with species distributed at a wide range of depths varying in temperature, hydrostatic pressure and oxygen levels. Using genomic data we characterized the full hemoglobin (Hb) gene repertoire for subset of species within this lineage. We discovered a correlation between expanded numbers of Hb genes and ocean depth, with the highest numbers in species occupying sha…

0301 basic medicineRange (biology)Lineage (evolution)Oceans and SeasScienceHydrostatic pressureAdaptation BiologicalZoologyBiologyArticleEvolution Molecular03 medical and health sciencesHemoglobinsPhylogeneticsHydrostatic PressureAnimalsSelection GeneticGenePhylogenyWhole genome sequencingMultidisciplinaryWhole Genome SequencingGadiformesQTemperatureRbiology.organism_classificationOxygenGadiformes030104 developmental biologyMedicineAdaptation
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Thermophilic anaerobic conversion of raw microalgae: Microbial community diversity in high solids retention systems

2019

[EN] The potential of microbial communities for efficient anaerobic conversion of raw microalgae was evaluated in this work. A long-term operated thermophilic digester was fed with three different Organic Loading Rates (OLR) (0.2, 0.3 and 0.4¿g·L¿1·d¿1) reaching 32¿41% biodegradability values. The microbial community analysis revealed a remarkable presence of microorganisms that exhibit high hydrolytic capabilities such as Thermotogae (~44.5%), Firmicutes (~17.6%) and Dictyoglomi, Aminicenantes, Atribacteria and Planctomycetes (below ~5.5%) phyla. The suggested metabolic role of these phyla highlights the importance of protein hydrolysis and fermentation when only degrading microalgae. The …

0301 basic medicineRenewable energyFirmicutesBioreactor010501 environmental sciences01 natural sciences03 medical and health sciencesAnaerobic digestionMicrobial communityBioreactorMicroalgaeFood scienceTECNOLOGIA DEL MEDIO AMBIENTE0105 earth and related environmental sciencesbiologyChemistryThermophilic digesterArmatimonadetesBiodegradationbiology.organism_classificationAnaerobic digestion030104 developmental biologyMicrobial population biologyFermentation16S rRNA geneAgronomy and Crop Science
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Reply to Comment on Huang, X., et al. “Sourdough Fermentation Degrades Wheat Alpha-Amylase/Trypsin Inhibitor (ATI) and Reduces Pro-Inflammatory Activ…

2020

We thank Dr [...]

0301 basic medicineReplyHealth (social science)INTESTINAL INFLAMMATIONTrypsin inhibitoreducationPlant Sciencelcsh:Chemical technologyHealth Professions (miscellaneous)MicrobiologyACTIVATION03 medical and health sciences0302 clinical medicineIntestinal inflammationlcsh:TP1-1185Food science2. Zero hungerbiologyChemistrySourdough fermentationn/a030104 developmental biology416 Food Sciencebiology.protein030211 gastroenterology & hepatologyAlpha-amylaseFood ScienceFoods
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Biotechnological impact of stress response on wine yeast.

2016

Wine yeast deals with many stress conditions during its biotechnological use. Biomass production and its dehydration produce major oxidative stress, while hyperosmotic shock, ethanol toxicity and starvation are relevant during grape juice fermentation. Most stress response mechanisms described in laboratory strains of Saccharomyces cerevisiae are useful for understanding the molecular machinery devoted to deal with harsh conditions during industrial wine yeast uses. However, the particularities of these strains themselves, and the media and conditions employed, need to be specifically looked at when studying protection mechanisms.

0301 basic medicineSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiaeBiomassWineSaccharomyces cerevisiaeApplied Microbiology and BiotechnologyFight-or-flight response03 medical and health sciencesVitisWinebiologyDehydrationbusiness.industryfood and beveragesbiology.organism_classificationYeastBiotechnologyFruit and Vegetable JuicesYeast in winemakingOxidative Stress030104 developmental biologyFermentationFermentationStress conditionsbusinessBiotechnologyLetters in applied microbiology
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Herbicide glufosinate inhibits yeast growth and extends longevity during wine fermentation.

2017

Glufosinate ammonium (GA) is a widely used herbicide that inhibits glutamine synthetase. This inhibition leads to internal amino acid starvation which, in turn, causes the activation of different nutrient sensing pathways. GA also inhibits the enzyme of the yeast Saccharomyces cerevisiae in such a way that, although it is not used as a fungicide, it may alter yeast performance in industrial processes like winemaking. We describe herein how GA indeed inhibits the yeast growth of a wine strain during the fermentation of grape juice. In turn, GA extends longevity in a variety of growth media. The biochemical analysis indicates that GA partially inhibits the nutrient sensing TORC1 pathway, whic…

0301 basic medicineSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiaelcsh:MedicineWineSaccharomyces cerevisiaeProtein Serine-Threonine KinasesArticle03 medical and health scienceschemistry.chemical_compoundGlutamine synthetaselcsh:ScienceAmino acid synthesisWinemakingchemistry.chemical_classificationFermentation in winemakingMultidisciplinarybiologyHerbicidesAminobutyrateslcsh:Rbiology.organism_classificationYeast030104 developmental biologychemistryBiochemistryGlufosinateFermentationlcsh:QFermentationTranscription FactorsScientific reports
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Cellular Injuries in Cronobacter sakazakii CIP 103183T and Salmonella enterica Exposed to Drying and Subsequent Heat Treatment in Milk Powder

2018

International audience; Because of the ability of foodborne pathogens to survive in low-moisture foods, their decontamination is an important issue in food protection. This study aimed to clarify some of the cellular mechanisms involved in inactivation of foodborne pathogens after drying and subsequent heating. Individual strains of Salmonella Typhimurium, Salmonella Senftenberg, and Cronobacter sakazakii were mixed into whole milk powder and dried to different water activity levels (0.25 and 0.58); the number of surviving cells was determined after drying and subsequent thermal treatments in closed vessels at 90 and 100 degrees C, for 30 and 120 s. For each condition, the percentage of unc…

0301 basic medicineSalmonellalcsh:QR1-502medicine.disease_causelcsh:Microbiologyperméabilité membranairechemistry.chemical_compound[SDV.IDA]Life Sciences [q-bio]/Food engineeringFood sciencedryingOriginal Researchpropidium iodidebiologyChemistryMicrobiology and Parasitologyplasma-membraneSalmonella entericainfant formulaMicrobiologie et ParasitologieSalmonella entericaAlimentation et Nutritionsaccharomyces-cerevisiaeenterobacter-sakazakiitraitement thermiqueséchageMicrobiology (medical)Water activityMembrane permeabilitydesiccation tolerance030106 microbiologylow-water activityMicrobiologyrespiratory activity03 medical and health sciencesCronobacter sakazakiimedicineFood and NutritionPropidium iodideactivation respiratoireEscherichia colifoodborne pathogensheat treatmentbiology.organism_classificationCronobacter sakazakii030104 developmental biologymembrane permeabilitythermal inactivationSalmonella enterica;Cronobacter sakazakii;membrane permeability;respiratory activity;heat treatment;dryingescherichia-coliBacteria
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