Search results for "MESH : Models"

showing 10 items of 12 documents

Why do house-hunting ants recruit in both directions?

2007

8 pages; International audience; To perform tasks, organisms often use multiple procedures. Explaining the breadth of such behavioural repertoires is not always straightforward. During house hunting, colonies of Temnothorax albipennis ants use a range of behaviours to organise their emigrations. In particular, the ants use tandem running to recruit na? ants to potential nest sites. Initially, they use forward tandem runs (FTRs) in which one leader takes a single follower along the route from the old nest to the new one. Later, they use reverse tandem runs (RTRs) in the opposite direction. Tandem runs are used to teach active ants the route between the nests, so that they can be involved qui…

0106 biological sciencesMESH: Decision MakingOperations researchTemnothorax albipennisMESH : Social BehaviorTandem runningSocial insectsMESH : Behavior Animal01 natural sciencesNesting BehaviorNestMESH : EcosystemMESH: Behavior Animal[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisMESH: AnimalsMESH: EcosystemMESH: Nesting BehaviorRecruitment methodsMESH: Models Theoretical0303 health sciencesBehavior AnimalbiologyEcologyGeneral MedicineMESH : AntsCollective behaviourMESH: Social BehaviorTandem runningMESH: Population DensityDecision MakingMESH: AntsMESH : Nesting Behavior010603 evolutionary biology03 medical and health sciencesAnimalsTemnothorax albipennisMESH : Population DensitySocial BehaviorSet (psychology)EcosystemEcology Evolution Behavior and Systematics030304 developmental biologyPopulation DensityOriginal PaperAntsMESH : Models TheoreticalModels TheoreticalRecruitment methodsbiology.organism_classificationMESH : Decision MakingMESH : Animals[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Extracellular oxidoreduction potential modifies carbon and electron flow in Escherichia coli.

2000

ABSTRACT Wild-type Escherichia coli K-12 ferments glucose to a mixture of ethanol and acetic, lactic, formic, and succinic acids. In anoxic chemostat culture at four dilution rates and two different oxidoreduction potentials (ORP), this strain generated a spectrum of products which depended on ORP. Whatever the dilution rate tested, in low reducing conditions (−100 mV), the production of formate, acetate, ethanol, and lactate was in molar proportions of approximately 2.5:1:1:0.3, and in high reducing conditions (−320 mV), the production was in molar proportions of 2:0.6:1:2. The modification of metabolic fluxes was due to an ORP effect on the synthesis or stability of some fermentation enzy…

MESH : Models Chemical0106 biological sciencesMESH: Oxidation-ReductionMESH : Acetic AcidMESH : Escherichia coliMESH : NADFormatesOxaloacetatesMESH: Phosphoenolpyruvate CarboxylaseSuccinic AcidMESH: Alcohol DehydrogenaseMESH : CarbonMESH : EthanolMESH: Carbon Dioxide01 natural sciencesPhosphoenolpyruvatechemistry.chemical_compoundModels[INFO.INFO-BT]Computer Science [cs]/BiotechnologyAcetic Acid0303 health sciencesbiologyMESH: Escherichia coliMESH: Models ChemicalMESH : Acetyl Coenzyme AMESH: NADLactic acidMESH : Carbon DioxideBiochemistryFormic AcidsMESH: PhosphoenolpyruvateMESH: Acetic AcidMESH: Pyruvate KinaseMESH : Phosphoenolpyruvate CarboxylaseMESH: Oxaloacetic AcidsOxidation-Reduction[ INFO.INFO-BT ] Computer Science [cs]/BiotechnologyMESH: EthanolPhysiology and MetabolismPyruvate KinaseElectronsChemicalMESH: CarbonMESH : Formic AcidsChemostatMicrobiologyMESH: Fermentation03 medical and health sciencesAcetic acidMESH : Alcohol DehydrogenaseAcetyl Coenzyme AMESH : Fermentation010608 biotechnology[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyEscherichia coliFormate[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyLactic Acid[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyMolecular Biology030304 developmental biologyAlcohol dehydrogenaseMESH : Oxidation-ReductionMESH: ElectronsEthanolEthanolMESH : Succinic AcidAlcohol DehydrogenaseCarbon DioxideNADMESH: Formic AcidsMESH : Pyruvate KinaseCarbonOxaloacetic AcidsPhosphoenolpyruvate CarboxylaseMESH: Succinic Acid[INFO.INFO-BT] Computer Science [cs]/BiotechnologychemistryModels ChemicalSuccinic acidMESH : Lactic AcidMESH : Oxaloacetic AcidsFermentationbiology.proteinFermentationMESH: Lactic AcidMESH : ElectronsMESH : PhosphoenolpyruvateMESH: Acetyl Coenzyme A
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Protein mapping of calcium carbonate biominerals by immunogold

2007

The construction of metazoan calcium carbonate skeletons is finely regulated by a proteinaceous extracellular matrix, which remains embedded within the exoskeleton. In spite of numerous biochemical studies, the precise localization of skeletal proteins has remained for a long time as an elusive goal. In this paper, we describe a technique for visualizing shell matrix proteins on the surface of calcium carbonate crystals or within the biominerals. The technique is as follows: freshly broken pieces of biominerals or NaOCl then EDTA-etched polished surfaces are incubated with an antibody elicited against one matrix protein, then with a secondary gold-coupled antibody. After silver enhancement,…

MESH : Models ChemicalMESH : Molecular Sequence DataMESH: Sequence Homology Amino AcidMESH : Calcium CarbonateMESH : ImmunohistochemistryMESH : Aspartic AcidMESH: TrypsinMESH: Amino Acid SequenceMatrix (biology)01 natural sciencesMESH: Aspartic AcidMESH : Proteinschemistry.chemical_compoundTrypsinMESH: AnimalsMESH: ProteinsPeptide sequenceMESH: Crystallizationchemistry.chemical_classification0303 health sciencesCaspartinbiologyMESH : Amino Acid SequenceMESH : Pepsin AMESH: Models ChemicalImmunogold labellingImmunohistochemistryMESH: MolluscaMESH : Sequence Homology Amino AcidAmino acidBiochemistryMESH: Calcium CarbonateMechanics of MaterialsMESH : CrystallizationMESH: Pepsin ASEMMESH : Edetic AcidCrystallizationMESH : MolluscaCalcium carbonateProteinaceous extracellular matrixMESH: Edetic AcidMolecular Sequence DataBiophysicsBioengineering010402 general chemistryBiomaterials03 medical and health sciencesAnimalsAmino Acid Sequence[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsEdetic Acid030304 developmental biologyAspartic AcidViral matrix proteinMESH: Molecular Sequence DataSequence Homology Amino AcidMESH : SolubilityBack-scattered electronsSurface treatmenProteinsMESH: ImmunohistochemistryIR-78873[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/BiomaterialsPepsin A0104 chemical sciences[SDV.IB.BIO] Life Sciences [q-bio]/Bioengineering/BiomaterialsMESH: SolubilityCalcium carbonatechemistryModels ChemicalSolubilityPolyclonal antibodiesMolluscaCeramics and Compositesbiology.proteinMESH : AnimalsMESH : TrypsinImmunogold
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Influence of the drying processes of yeasts on their volatile phenol sorption capacity in model wine.

2009

International audience; Volatile phenols, such as 4-ethylphenol, are responsible for a "horsey" smell in wine. Thus, the study of volatile phenol sorption in yeasts, and their subsequent elimination from wine, helps to optimize eco-friendly wine curative processes. Here, we compared the influences of spray drying, lyophilization and evaporative drying at low water activity on yeast, for improving the 4-ethylphenol sorption capacity in a synthetic model wine. The changes that occur in the physico-chemical characteristics of the yeast surface (surface hydrophobicity, electron-donor character and zeta potential) during these drying processes were determined to assess if any correlation exists …

MESH : PhenolsWater activityMESH : WineMESH : Saccharomyces cerevisiaeElectronsWineSaccharomyces cerevisiaeMESH : Models BiologicalMicrobiologyModels Biologicalcomplex mixturesMembrane Potentialschemistry.chemical_compoundFreeze-dryingPhenols4-ethylphenolMESH : AdsorptionZeta potentialMESH : Membrane PotentialsFood scienceDesiccation[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyDrying processesWine4-EthylphenolChromatographyWaterSorptionGeneral MedicineMESH : Freeze DryingYeastYeastMESH : WaterFreeze DryingchemistrySpray dryingMESH : DesiccationSorptionAdsorptionMESH : HydrophobicityMESH : ElectronsHydrophobic and Hydrophilic InteractionsFood Science
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Chemotherapy overcomes TRAIL-R4-mediated TRAIL resistance at the DISC level

2011

International audience; TNF-related apoptosis-inducing ligand or Apo2L (Apo2L/TRAIL) is a promising anti-cancer drug owing to its ability to trigger apoptosis by binding to TRAIL-R1 or TRAIL-R2, two membrane-bound receptors that are often expressed by tumor cells. TRAIL can also bind non-functional receptors such as TRAIL-R4, but controversies still exist regarding their potential to inhibit TRAIL-induced apoptosis. We show here that TRAIL-R4, expressed either endogenously or ectopically, inhibits TRAIL-induced apoptosis. Interestingly, the combination of chemotherapeutic drugs with TRAIL restores tumor cell sensitivity to apoptosis in TRAIL-R4-expressing cells. This sensitization, which ma…

MESH: CASP8 and FADD-Like Apoptosis Regulating ProteinMESH : Antineoplastic Combined Chemotherapy ProtocolsCASP8 and FADD-Like Apoptosis Regulating ProteinTRAILApoptosisMESH : Models BiologicalMitochondrionMESH : RNA Small InterferingMESH: Caspase 8TNF-Related Apoptosis-Inducing LigandMESH : TNF-Related Apoptosis-Inducing LigandMESH : Tumor Necrosis Factor Decoy Receptors0302 clinical medicineRNA interferenceNeoplasmsAntineoplastic Combined Chemotherapy ProtocolsMESH: RNA Small InterferingMESH: NeoplasmsRNA Small InterferingReceptorSensitizationCaspase 80303 health sciencesMESH : Caspase 8MESH: Drug Resistance Neoplasm3. Good healthCell biologyMESH: Antineoplastic Combined Chemotherapy ProtocolsMESH : Drug Resistance Neoplasmmedicine.anatomical_structure030220 oncology & carcinogenesisRNA InterferenceMESH : GPI-Linked ProteinsMESH: TNF-Related Apoptosis-Inducing LigandDeath Domain Receptor Signaling Adaptor ProteinsProgrammed cell deathMESH: Cell Line Tumorc-FLIPMESH: RNA InterferenceBiologyGPI-Linked ProteinsCaspase 8Models Biological03 medical and health sciencesCell Line TumorReceptors Tumor Necrosis Factor Member 10cmedicineTRAIL-R4HumanscancerChemotherapy[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Receptors TNF-Related Apoptosis-Inducing LigandMESH : Receptors TNF-Related Apoptosis-Inducing Ligand[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyMolecular Biology030304 developmental biologyOriginal PaperMESH: HumansMESH : Cell Line TumorMESH: ApoptosisMESH : HumansMESH: Models BiologicalMESH : CASP8 and FADD-Like Apoptosis Regulating ProteinCell BiologyMESH: Tumor Necrosis Factor Decoy ReceptorsMESH : NeoplasmsReceptors TNF-Related Apoptosis-Inducing LigandTumor Necrosis Factor Decoy ReceptorsDrug Resistance NeoplasmApoptosisMESH : RNA InterferenceMESH: GPI-Linked ProteinsMESH : ApoptosisMESH : Death Domain Receptor Signaling Adaptor ProteinsMESH: Death Domain Receptor Signaling Adaptor ProteinsTumor Necrosis Factor Decoy Receptors
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Regulating TRAIL Receptor-Induced Cell Death at the Membrane: A Deadly Discussion

2011

Article Open access plus; International audience; The use of TRAIL/APO2L and monoclonal antibodies targeting TRAIL receptors for cancer therapy holds great promise, due to their ability to restore cancer cell sensitivity to apoptosis in association with conventional chemotherapeutic drugs in a large variety of tumors. TRAIL-induced cell death is tightly regulated right from the membrane and at the DISC (Death-Inducing Signaling Complex) level. The following patent and literature review aims to present and highlight recent findings of the deadly discussion that determines tumor cell fate upon TRAIL engagement.

MESH: Cell DeathMESH: Signal TransductionCancer ResearchApoptosisTRAILMESH : Models BiologicalscaffoldCell membrane0302 clinical medicineDrug DiscoveryMESH: AnimalsPharmacology (medical)Receptordeath effector domain0303 health sciencesCell DeathGeneral MedicineTRAIL-R4.3. Good healthCell biologymedicine.anatomical_structureOncology030220 oncology & carcinogenesisSignal transductionMESH : Apoptosis Regulatory ProteinsSignal TransductionProgrammed cell deathc-FLIPdeath domainmedicine.drug_classMESH : Cell MembraneCancer therapyBiologyMonoclonal antibodyModels BiologicalArticle03 medical and health sciencesmedicineAnimalsHumansChemotherapy[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Receptors TNF-Related Apoptosis-Inducing LigandMESH : Receptors TNF-Related Apoptosis-Inducing Ligand[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular Biology030304 developmental biologyMESH : Signal TransductionMESH: HumansMESH: Apoptosis Regulatory ProteinsMESH: ApoptosisMESH : HumansCell MembraneMESH: Models BiologicalDISCReceptors TNF-Related Apoptosis-Inducing LigandApoptosisMESH : Cell DeathFADDCancer cellMESH : AnimalsApoptosis Regulatory ProteinsMESH : ApoptosisMESH: Cell MembraneRecent Patents on Anti-Cancer Drug Discovery
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The Inactivation Principle: Mathematical Solutions Minimizing the Absolute Work and Biological Implications for the Planning of Arm Movements

2008

An important question in the literature focusing on motor control is to determine which laws drive biological limb movements. This question has prompted numerous investigations analyzing arm movements in both humans and monkeys. Many theories assume that among all possible movements the one actually performed satisfies an optimality criterion. In the framework of optimal control theory, a first approach is to choose a cost function and test whether the proposed model fits with experimental data. A second approach (generally considered as the more difficult) is to infer the cost function from behavioral data. The cost proposed here includes a term called the absolute work of forces, reflecti…

MaleMESH: Range of Motion ArticularMESH : Physical ExertionMESH : MovementOptimality criterion[SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]Computer scienceMESH: Muscle ContractionMESH: GravitationMESH : Models BiologicalMESH: MovementKinematicsMESH: Postural BalanceMESH : Gravitation0302 clinical medicineNeuroscience/Motor SystemsMESH : FeedbackMESH : BiomechanicsRange of Motion ArticularMESH: ArmMESH : Jointslcsh:QH301-705.5Postural BalanceMESH: Biomechanics0303 health sciencesNeuroscience/Behavioral NeuroscienceEcology[ SDV.MHEP.PHY ] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]MESH: FeedbackMESH : AdultBiomechanical PhenomenaMathematical theoryMESH: JointsComputational Theory and MathematicsModeling and SimulationArmResearch ArticleGravitationMuscle ContractionComputer Science/Systems and Control TheoryAdultMESH : MaleMovementPhysical ExertionComputational Biology/Computational NeuroscienceMESH: Psychomotor PerformanceModels BiologicalMESH : ArmFeedbackMESH: Physical Exertion03 medical and health sciencesCellular and Molecular NeuroscienceMESH : Postural BalanceControl theory[SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]GeneticsHumansNeuroscience/Theoretical NeuroscienceMolecular BiologyEcology Evolution Behavior and SystematicsSimulation030304 developmental biologyMESH: HumansMESH : HumansWork (physics)MESH: Models BiologicalMotor controlMESH: AdultMESH : Psychomotor PerformanceFunction (mathematics)Optimal controlMESH: MaleTerm (time)MESH : Range of Motion Articularlcsh:Biology (General)MESH : Muscle ContractionJoints030217 neurology & neurosurgeryMathematicsPsychomotor PerformancePLoS Computational Biology
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Structural determinants of resveratrol for cell proliferation inhibition potency: experimental and docking studies of new analogs.

2010

International audience; Resveratrol is the subject of intense research because of the abundance of this compound in the human diet and as one of the most valuable natural chemopreventive agents. Further advances require new resveratrol analogs be used to identify the structural determinants of resveratrol for the inhibition potency of cell proliferation by comparing experimental and docking studies. Therefore, we synthesized new trans/(E)- and cis/(Z)-resveratrol - analogs not reported to date - by modifying the hydroxylation pattern of resveratrol and a double bond geometry. We included them in a larger panel of 14 molecules, including (Z)-3,5,4'-trimethoxystilbene, the most powerful molec…

Models MolecularMESH : HydroxidesMESH : DNAMESH: Cell CycleMESH: TubulinResveratrolHydroxylationchemistry.chemical_compound0302 clinical medicineTubulinMESH: StilbenesDrug DiscoveryStilbenesHydroxidesMESH : Cell ProliferationDocking studiesMESH : Colchicine0303 health sciencesCell CycleMESH: DNAStereoisomerismGeneral MedicineMESH : TubulinMESH: Hydroxides3. Good healthColon cancerBiochemistryMESH : Stereoisomerism030220 oncology & carcinogenesisMESH: Models MolecularMESH: Cell Line TumorStereochemistryMESH : Models MolecularStereoisomerismMESH : Stilbenes03 medical and health sciencesCell Line TumorMESH: Cell ProliferationMESH : Cell Cycle[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyHumans[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyBinding site[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyTubulin polymerization030304 developmental biologyCell ProliferationPharmacologyCombretastatinBinding SitesMESH: HumansCell growthMESH : Cell Line TumorOrganic ChemistryMESH : HumansDNAMESH: StereoisomerismMESH: ColchicinechemistryPolymethoxy-stilbenesMESH: Binding SitesDocking (molecular)Cell cultureResveratrolResveratrol; Polymethoxy-stilbenes; Tubulin polymerization; Colon cancer; Docking studiesColchicineMESH : Binding Sites
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Nomograms for predicting local recurrence, distant metastases, and overall survival for patients with locally advanced rectal cancer on the basis of …

2011

Purpose The purpose of this study was to develop accurate models and nomograms to predict local recurrence, distant metastases, and survival for patients with locally advanced rectal cancer treated with long-course chemoradiotherapy (CRT) followed by surgery and to allow for a selection of patients who may benefit most from postoperative adjuvant chemotherapy and close follow-up. Patients and Methods All data (N = 2,795) from five major European clinical trials for rectal cancer were pooled and used to perform an extensive survival analysis and to develop multivariate nomograms based on Cox regression. Data from one trial was used as an external validation set. The variables used in the ana…

OncologyMaleCancer ResearchColorectal cancerMESH : AgedKaplan-Meier EstimateMESH : Randomized Controlled Trials as Topiclaw.invention[ SDV.CAN ] Life Sciences [q-bio]/Cancer0302 clinical medicineRandomized controlled triallawMESH : FemaleStage (cooking)Neoplasm MetastasisMESH: Models TheoreticalMESH : Rectal NeoplasmsSettore MED/36 - DIAGNOSTICA PER IMMAGINI E RADIOTERAPIARandomized Controlled Trials as TopicMESH: Aged0303 health sciencesMESH: Middle AgedMESH : Neoplasm Recurrence LocalAge FactorsMiddle AgedMESH : Adult3. Good healthEuropeOncology030220 oncology & carcinogenesisMESH : Neoplasm MetastasisFemaleMESH: Neoplasm Recurrence LocalAdultmedicine.medical_specialtyMESH : Sex FactorsMESH : MaleMESH : Europe[SDV.CAN]Life Sciences [q-bio]/CancerMESH : Kaplan-Meier Estimate03 medical and health sciencesRECTAL CANCERSex FactorsMESH: Sex FactorsInternal medicinemedicineHumansMESH : Middle AgedSurvival analysisMESH: Kaplan-Meier Estimate030304 developmental biologyAgedMESH: Age FactorsMESH: HumansProportional hazards modelbusiness.industryRectal NeoplasmsMESH : Models TheoreticalMESH : HumansMESH: Rectal NeoplasmsMESH: AdultNomogramModels Theoreticalmedicine.diseaseMESH: Neoplasm MetastasisMESH: MaleSurgeryClinical trialMESH: Randomized Controlled Trials as TopicMESH : Age FactorsMESH: EuropeNeoplasm Recurrence LocalbusinessMESH: FemaleChemoradiotherapy
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Computational evidence that frequency trajectory theory does not oppose but emerges from age-of-acquisition theory.

2012

International audience; According to the age-of-acquisition hypothesis, words acquired early in life are processed faster and more accurately than words acquired later. Connectionist models have begun to explore the influence of the age/order of acquisition of items (and also their frequency of encounter). This study attempts to reconcile two different methodological and theoretical approaches (proposed by Lambon Ralph & Ehsan, 2006 and Zevin & Seidenberg, 2002) to age-limited learning effects. The current simulations extend the findings reported by Zevin and Seidenberg (2002) that have shown that frequency trajectories (FTs) have limited and specific effects on word-reading tasks. Using th…

Time FactorsComputer scienceTask (project management)Learning effect0302 clinical medicineMESH: Models PsychologicalComputingMilieux_MISCELLANEOUSMESH : Models PsychologicalCognitive sciencePsycholinguisticsMESH : Neural Networks (Computer)05 social sciencesAge FactorsContrast (statistics)MESH : Artificial IntelligenceLanguage acquisition[SCCO.PSYC]Cognitive science/Psychology[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]MESH : PsycholinguisticsCognitive psychologyMESH : Time FactorsOrder of acquisitionCognitive NeuroscienceExperimental and Cognitive PsychologyMESH: ReadingModels PsychologicalLanguage Development050105 experimental psychologyMESH: Psycholinguistics03 medical and health sciencesMESH: Neural Networks (Computer)ConnectionismArtificial IntelligenceMESH: Language DevelopmentMESH: Artificial IntelligenceHumans0501 psychology and cognitive sciencesMESH: Age FactorsMESH : Language DevelopmentMESH: HumansMESH: Time FactorsMESH : HumansMESH : ReadingWord lists by frequencyAge of AcquisitionReading[ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]MESH : Age FactorsNeural Networks Computer030217 neurology & neurosurgeryCognitive science
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