Search results for "model [interaction]"

showing 10 items of 1495 documents

HIERARCHICAL MELTING OF ONE-DIMENSIONAL INCOMMENSURATE STRUCTURES

2016

We study the low—temperature properties of quasi one—dimensional, incommensurate structures which are described by a Frenkel—Kontorova—like model. A new type of renormalization method will be presented, which is determined by the continued fraction expansion of the incommensurability ratio ζ. (This method yields a hierarchy of renormalized Hamiltonians ϰ(n,p) describing the thermal behavior for temperatures T = O(T(n,p)), where T(n,p) follows from the continued fraction expansion of ζ. By means of this method the low—temperature specific heat c(T) and the static structure factor S(q) are calculated for fixed ζ. c(T) possesses a hierarchy of Schottky anomalies related to the rational approxi…

RenormalizationPhysicsCondensed matter physicsHierarchy (mathematics)ThermalOrders of magnitude (speed)Sensitivity (control systems)Type (model theory)Continued fractionStructure factor
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Mboat7 down-regulation by hyper-insulinemia induces fat accumulation in hepatocytes.

2020

Background: Naturally occurring variation in Membrane-bound O-acyltransferase domain-containing 7 (MBOAT7), encoding for an enzyme involved in phosphatidylinositol acyl-chain remodelling, has been associated with fatty liver and hepatic disorders. Here, we examined the relationship between hepatic Mboat7 down-regulation and fat accumulation. Methods: Hepatic MBOAT7 expression was surveyed in 119 obese individuals and in experimental models. MBOAT7 was acutely silenced by antisense oligonucleotides in C57Bl/6 mice, and by CRISPR/Cas9 in HepG2 hepatocytes. Findings: In obese individuals, hepatic MBOAT7 mRNA decreased from normal liver to steatohepatitis, independently of diabetes, inflammatio…

Research paperTGFβ Transforming Growth Factor BetaIntracellular SpaceCRISPR Clustered Regularly Interspaced Short Palindromic RepeatshHEPS Human HepatocytesMice0302 clinical medicineLPIAT1DAG Diacylglyceroli.p. Intraperitonealmedia_commonFatty AcidsGeneral Medicine3. Good health030220 oncology & carcinogenesisHOMA-IR homeostasis Model Assessment of Insulin ResistanceMPO morpholinolcsh:Medicine (General)medicine.medical_specialtyPE Phosphatidyl-EthanolamineNashGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesTNFα tumor Necrosis Factor AlphaLDL Low Density LipoproteinsHyperinsulinismNAFLDSD Standard Dietmedia_common.cataloged_instanceHumansCPT1 Carnitine Palmitoyltransferase IPhosphatidylinositolGene SilencingEuropean unionVLDL Very Low Density Lipoproteinlcsh:RhHSC Human Hepatic Stellate Cellsmedicine.diseaseLipid MetabolismOA Oleic AcidCI Confidence IntervalMboat7 Membrane bound O-acyltransferase domain containing 7MCD methionine choline deficient diet030104 developmental biologyEndocrinologychemistryCDP Cytidine-DiphosphateFOXO1 Forkhead Box protein O1NAFLD nonalcoholic fatty liver diseaseSteatohepatitisBMI Body Mass IndexCL CardiolipinAcyltransferases0301 basic medicineAlcoholic liver diseaseCXCL10 C-X-C Motif Chemokine 10lcsh:Medicinechemistry.chemical_compoundNon-alcoholic Fatty Liver DiseaseIFG Impaired Fasting GlucoseAPOB Apolipoprotein BNonalcoholic fatty liver diseasePIP Phosphatidyl-Inositol-PhosphateSteatohepatitisqRT-PCR quantitative Real Time Polymerase Chain ReactionMice Knockoutlcsh:R5-920ORO Oil Red O StainingPI PhosphatidylinositolFatty liverTM6SF2 Transmembrane 6 Superfamily Member 2PhospholipidTAG TriglyceridesNASH Nonalcoholic SteatohepatitisLipogenesisLPA Lyso-Phosphatidic AcidPhosphatidylinositolSignal TransductionPS Phosphatidyl-SerinePA Palmitic AcidALD alcoholic liver diseasePC Phosphatidylcholinei.v. IntravenousFATP1 Fatty Acid Transport Protein 1Models BiologicalInternal medicinemedicineAnimalsNonalcoholic fatty liver diseasePPARα Peroxisome Proliferator-Activated Receptor alphaObesityG3P Glyceraldehyde-3-PhosphateSREBP1c Sterol Regulatory Element-Binding Protein 1HDL High Density Lipoproteinsbusiness.industryPI3K Phosphatidylinositol 3 KinaseMembrane ProteinsNHEJ Non-Homologues End JoiningPNPLA3 Patatin-like Phospholipase Domain-containing-3MTTP Microsomal Triglyceride Transfer ProteinLPIAT1 Lysophosphatidylinositol Acyltransferase 1TMC4 Transmembrane Channel-Like 4Disease Models AnimalGene Expression RegulationHepatocytesFOXA2 Forkhead Box A2mTOR mammalian target of RapamycinSteatosisInsulin ResistancebusinessPG Phosphatidyl-GlycerolFABP1 Fatty Acid-Binding Protein 1 FAS Fatty Acid SynthaseT2DM Type 2 Diabetes MellitusEBioMedicine
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Neuroinflammation by cytotoxic T-lymphocytes impairs retrograde axonal transport in an oligodendrocyte mutant mouse.

2012

Mice overexpressing proteolipid protein (PLP) develop a leukodystrophy-like disease involving cytotoxic, CD8+ T-lymphocytes. Here we show that these cytotoxic T-lymphocytes perturb retrograde axonal transport. Using fluorogold stereotactically injected into the colliculus superior, we found that PLP overexpression in oligodendrocytes led to significantly reduced retrograde axonal transport in retina ganglion cell axons. We also observed an accumulation of mitochondria in the juxtaparanodal axonal swellings, indicative for a disturbed axonal transport. PLP overexpression in the absence of T-lymphocytes rescued retrograde axonal transport defects and abolished axonal swellings. Bone marrow tr…

Retinal Ganglion CellsProteolipid protein 1MouseCD8-Positive T-LymphocytesGranzymesMyelinMiceBone Marrow TransplantationNeuronsddc:616MultidisciplinarybiologyQRNeurodegenerative DiseasesAnimal ModelsCell biologyOligodendrogliamedicine.anatomical_structureNeurologyMedicineResearch ArticleHeterozygoteMultiple SclerosisProteolipidsScienceImmunologyMice Transgenicchemical and pharmacologic phenomenaAutoimmune DiseasesModel OrganismsmedicineAnimalsBiologyNeuroinflammationInflammationImmunityDemyelinating DisordersOligodendrocyteAxonsGranzyme BPerforinGranzymenervous systemImmune SystemImmunologyMutationAxoplasmic transportbiology.proteinClinical ImmunologyMolecular NeuroscienceT-Lymphocytes CytotoxicNeurosciencePLoS ONE
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Estimating soil loss of given return period by USLE-M-type models

2020

Many field investigations have clearly shown that rare and severe events control total soil erosion occurring over a long time period with up to 92% of total soil erosion over a 7‐year period resulting from just three daily events. Therefore, soil conservation strategies should be developed taking into account large events rather than long‐term average erosion. From an engineering point of view, establishing the soil loss of a given return period is needed. This can be obtained by the frequency analysis of soil loss measurements or by suitable soil erosion models. The USLE‐M modified and USLE‐M based are two empirical Universal Soil Loss Equation‐Modified (USLE‐M) type models which were dev…

Return periodsoil erosionannual maximaYield (finance)Soil scienceType (model theory)return periodcomplex mixturesplot measurementSample size determinationRange (statistics)ErosionUSLE-MBEnvironmental scienceUSLE-MMSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSurface runoffSoil conservationWater Science and Technology
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HSP110 promotes colorectal cancer growth through STAT3 activation.

2017

IF 7.932; International audience; Heat shock protein 110 (HSP110) is induced by different stresses and, through its anti-apoptotic and chaperoning properties, helps cells survive these adverse situations. In colon cancers, HSP110 is abnormally abundant. We have recently shown that colorectal cancer patients with microsatellite instability (MSI) had an improved response to chemotherapy because they harbor an HSP110-inactivating mutation (HSP110DE9). In this work, we used patient biopsies, human colorectal cancer cells grown in vitro and in vivo (xenografts), and intestinal crypts to demonstrate that HSP110 is also involved in colon cancer growth. We showed that HSP110 induces colon cancer ce…

STAT3 Transcription Factor0301 basic medicineCancer ResearchColorectal cancerBiopsyMice Nudecolorectal cancer[SDV.CAN]Life Sciences [q-bio]/CancerMouse model of colorectal and intestinal cancerBiologymedicine.disease_causeMolecular oncology[ SDV.CAN ] Life Sciences [q-bio]/CancerSTAT3Mice03 medical and health sciences0302 clinical medicineGrowth factor receptorCell Line TumorGeneticsmedicineAnimalsHumansHSP110 Heat-Shock ProteinsIntestinal MucosaPhosphorylationSTAT3Molecular BiologyCell ProliferationMicrosatellite instabilityCell cyclemedicine.diseaseMolecular biologydigestive system diseases3. Good health030104 developmental biology030220 oncology & carcinogenesisCancer researchbiology.proteinFemaleColorectal NeoplasmsCarcinogenesisNeoplasm TransplantationHSP110Protein Binding
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Suppressor of cytokine signaling 3 sensitizes anaplastic thyroid cancer to standard chemotherapy

2009

We previously showed that cancer cells from papillary, follicular, and anaplastic thyroid carcinomas produce interleukin-4 and interleukin-10, which counteract the cytotoxic activity of conventional chemotherapy through the up-regulation of antiapoptotic molecules. Here, we identify Janus kinase/signal transducers and activators of transcription (STAT) and phosphatidyl inositol 3-kinase (PI3K)/AKT as the down-stream pathways through which these cytokines confer resistance to cell death in thyroid cancer. We found that the absence of suppressors of cytokine signaling (SOCS) molecules allows the propagation of the survival signaling. Exogenous expression of SOCS1, SOCS3, and SOCS5 in the high…

STAT3 Transcription FactorCancer ResearchCancer Research; OncologyDown-RegulationMice NudeSuppressor of Cytokine Signaling Proteinsthyroidcancer spheres cytokines apoptosis chemoterapyMicePhosphatidylinositol 3-KinasesSuppressor of Cytokine Signaling 1 ProteinMedicineAnimalsHumansSOCS3Thyroid NeoplasmsAnaplastic thyroid cancerPhosphorylationThyroid cancerPI3K/AKT/mTOR pathwayAgedSettore MED/04 - Patologia GeneraleJanus kinase 1business.industrySuppressor of cytokine signaling 1Settore BIO/16 - Anatomia UmanaGene Transfer TechniquesCancerJanus Kinase 1Middle Agedmedicine.diseaseXenograft Model Antitumor AssaysSettore MED/18 - Chirurgia GeneraleOncologyDrug Resistance NeoplasmSuppressor of Cytokine Signaling 3 ProteinImmunologyCancer researchFemalebusinessJanus kinaseSTAT6 Transcription FactorProto-Oncogene Proteins c-akt
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Inter-individual retronasal aroma release variability during cheese consumption: Role of food oral processing

2014

The aim of our study was to explain inter-individual differences on in vivo aroma release during cheese consumption by oral physiological parameters. To reach this objective, 34 subjects were recruited. Their salivary flow, oral volume and velum opening were determined. Six cheddar-based melted cheeses with different fat levels and firmness were flavoured with nonan-2-one.(NO) and ethyl propanoate (EP). During their consumption (free protocol), in vivo retro nasal aroma release was followed by Atmospheric Pressure Chemical lonisation-Mass Spectrometry (APCI-MS). Chewing activity was evaluated by electromyography recordings. Bolus saliva content, mouth-coating, and bolus rheology were also d…

Salivainter individual variability030309 nutrition & dieteticsFat content[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionFood consumption03 medical and health scienceschemistry.chemical_compound0404 agricultural biotechnologyBolus (medicine)[SDV.IDA]Life Sciences [q-bio]/Food engineeringin vivo aroma releaseAroma compoundFood scienceAromaNo release2. Zero hunger0303 health sciencesfood oral processingbiologyChemistry[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringEthyl propanoatefood and beverages04 agricultural and veterinary sciencesbiology.organism_classification040401 food sciencemouth coating[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionmodel cheesesFood Sciencechewing activity
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Snowball ICA: A Model Order Free Independent Component Analysis Strategy for Functional Magnetic Resonance Imaging Data

2020

In independent component analysis (ICA), the selection of model order (i.e., number of components to be extracted) has crucial effects on functional magnetic resonance imaging (fMRI) brain network analysis. Model order selection (MOS) algorithms have been used to determine the number of estimated components. However, simulations show that even when the model order equals the number of simulated signal sources, traditional ICA algorithms may misestimate the spatial maps of the signal sources. In principle, increasing model order will consider more potential information in the estimation, and should therefore produce more accurate results. However, this strategy may not work for fMRI because …

Scale (ratio)Computer sciencedimension reduction050105 experimental psychologylcsh:RC321-57103 medical and health sciencestoiminnallinen magneettikuvaus0302 clinical medicineSoftwareComponent (UML)0501 psychology and cognitive sciencesmutual informationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatrySelection (genetic algorithm)Original Researchmodel ordersignaalinkäsittelyNoise (signal processing)business.industryGeneral NeuroscienceDimensionality reduction05 social sciencessignaalianalyysiriippumattomien komponenttien analyysiPattern recognitionMutual informationIndependent component analysisfunctional magnetic resonance imagingindependent component analysisArtificial intelligencebusiness030217 neurology & neurosurgeryNeuroscienceFrontiers in Neuroscience
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Partial Methylation at Am100 in 18S rRNA of Baker's Yeast Reveals Ribosome Heterogeneity on the Level of Eukaryotic rRNA Modification

2014

Ribosome heterogeneity is of increasing biological significance and several examples have been described for multicellular and single cells organisms. In here we show for the first time a variation in ribose methylation within the 18S rRNA of Saccharomyces cerevisiae. Using RNA-cleaving DNAzymes, we could specifically demonstrate that a significant amount of S. cerevisiae ribosomes are not methylated at 2'-O-ribose of A100 residue in the 18S rRNA. Furthermore, using LC-UV-MS/MS of a respective 18S rRNA fragment, we could not only corroborate the partial methylation at A100, but could also quantify the methylated versus non-methylated A100 residue. Here, we exhibit that only 68% of A100 in t…

Science5.8S ribosomal RNAYeast and Fungal ModelsSaccharomyces cerevisiaeMycologyBiologyMethylationBiochemistryMicrobiologyMolecular GeneticsModel OrganismsMolecular cell biologyRRNA modification23S ribosomal RNANucleic Acidsddc:570GeneticsEukaryotic Small Ribosomal SubunitBiologyNucleic Acid ComponentsGeneticsMultidisciplinaryQRTranslation (biology)DNAMethylationRibosomal RNAYeastRNA processingBiochemistryRNA RibosomalRibosome SubunitsMedicineRNARibosomesResearch ArticlePLoS ONE
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Using SOM and PCA for analysing and interpreting data from a P-removal SBR

2008

This paper focuses on the application of Kohonen self-organizing maps (SOM) and principal component analysis (PCA) to thoroughly analyse and interpret multidimensional data from a biological process. The process is aimed at enhanced biological phosphorus removal (EBPR) from wastewater. In this work, SOM and PCA are firstly applied to the data set in order to identify and analyse the relationships among the variables in the process. Afterwards, K-means algorithm is used to find out how the observations can be grouped, on the basis of their similarity, in different classes. Finally, the information obtained using these intelligent tools is used for process interpretation and diagnosis. In the…

Self-organizing mapBasis (linear algebra)Process (engineering)Computer sciencecomputer.software_genreInterpretation (model theory)Data setSimilarity (network science)Artificial IntelligenceControl and Systems EngineeringPrincipal component analysisData miningElectrical and Electronic EngineeringCluster analysiscomputerEngineering Applications of Artificial Intelligence
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