Search results for "DOMAINS"

showing 10 items of 269 documents

Virtual Job Application : yksilön verkostopohjaisen kielenopiskelun sosiaaliset dimensiot

2004

etäopiskeluyksilöllinen oppijaverkko-opiskeluoppimiskokemuksetammatillinenopiskelusocial domainskieletDerek Laydersosiaalinen kerrostuneisuussosiokulttuurinen oppimiskäsitysverkkopedagogiikka
researchProduct

Metaforas modes emuāros

2017

Lai gan metaforas pētījumi ir piesaistījuši daudzu zinātnieku uzmanību, metaforu lietojums modes emuāros nav daudz pētīts. Emuārs kā žanrs parādījās 2000.gadu sākumā un kopš tā laika ir izveidojušies dažādi emuāra veidi. Empīriskie dati ir ekscerpēti no modes emuāra The Blonde Salad. Pētījums ir izstrādāts, lai atbildētu uz pētījuma jautājumu - kāda metaforu funkcija dominē emuārā The Blonde Salad. Pētījuma mērķis ir noteikt avota domēnus, kas metaforiski raksturo modi izvēlētajā modes emuārā. Teorētiskā pētījuma daļa ir balstīta uz teorijām par metaforām, to funkcijām un iedalījumu tādu zinātnieku kā Lakofs, Džonsons, Gibs, Knovles, Mūns un Kovecses skatījumā. Empīŗiskais pētījums ir veikt…

fashion blogcognitive functionsValodniecībametaphorsource domainsRich Feature Analysis
researchProduct

Sobolev homeomorphic extensions onto John domains

2020

Given the planar unit disk as the source and a Jordan domain as the target, we study the problem of extending a given boundary homeomorphism as a Sobolev homeomorphism. For general targets, this Sobolev variant of the classical Jordan-Schoenflies theorem may admit no solution - it is possible to have a boundary homeomorphism which admits a continuous $W^{1,2}$-extension but not even a homeomorphic $W^{1,1}$-extension. We prove that if the target is assumed to be a John disk, then any boundary homeomorphism from the unit circle admits a Sobolev homeomorphic extension for all exponents $p<2$. John disks, being one sided quasidisks, are of fundamental importance in Geometric Function Theory.

funktioteoriaMathematics::Dynamical SystemsSobolev extensionsMathematics - Complex Variables46E35 58E20quasidisksFOS: MathematicsMathematics::General TopologySobolev homeomorphismsComplex Variables (math.CV)John domainsfunktionaalianalyysiMathematics::Geometric Topology
researchProduct

Inter-domain interactions in filamins

2014

kristallografiaCrystallographyrakennevuorovaikutusproteiineihin sitoutuminenfilamiinitimmunoglobulin-like domainssmall angle x-ray scatteringrakenneanalyysifilaminskiderakenteetinter-domain interactionsdomeenitproteiinitsitoutumispaikatmechanosensorröntgensironta
researchProduct

2018

Tetraspanins (Tspans) are a family of four-span transmembrane proteins, known as plasma membrane “master organizers.” They form Tspan-enriched microdomains (TEMs or TERMs) through lateral association with one another and other membrane proteins. If multiple microdomains associate with each other, larger platforms can form. For infection, viruses interact with multiple cell surface components, including receptors, activating proteases, and signaling molecules. It appears that Tspans, such as CD151, CD82, CD81, CD63, CD9, Tspan9, and Tspan7, coordinate these associations by concentrating the interacting partners into Tspan platforms. In addition to mediating viral attachment and entry, these …

lcsh:Immunologic diseases. Allergy0301 basic medicineCell signalingTetraspaninsMini ReviewreceptorImmunology610 MedizinbuddingvirusBiologyVirusStructure-Activity Relationship03 medical and health sciencesMembrane MicrodomainsTetraspanintrafficking610 Medical sciencesAnimalsHumansendocytosisImmunology and Allergy030102 biochemistry & molecular biologymicrodomainLipid microdomainMembrane ProteinsVirus InternalizationTransmembrane proteinCell biologytetraspanin030104 developmental biologyMembrane proteinViral replicationVirus DiseasesHost-Pathogen Interactionsentrylcsh:RC581-607BiomarkersCD81Frontiers in Immunology
researchProduct

Genome-Wide Inhibition of Pro-atherogenic Gene Expression by Multi-STAT Targeting Compounds as a Novel Treatment Strategy of CVDs.

2018

Cardiovascular diseases (CVDs), including atherosclerosis, are globally the leading cause of death. Key factors contributing to onset and progression of atherosclerosis include the pro-inflammatory cytokines Interferon (IFN)a and IFN? and the Pattern Recognition Receptor (PRR) Toll-like receptor 4 (TLR4). Together, they trigger activation of Signal Transducer and Activator of Transcription (STAT)s. Searches for compounds targeting the pTyr-SH2 interaction area of STAT3, yielded many small molecules, including STATTIC and STX-0119. However, many of these inhibitors do not seem STAT3-specific. We hypothesized that multi-STAT-inhibitors that simultaneously block STAT1, STAT2, and STAT3 activit…

lcsh:Immunologic diseases. Allergy0301 basic medicineMaleIn silicoImmunologyGene ExpressionBiologystatIn silico dockingCell LineSmall Molecule Librariessrc Homology Domains03 medical and health sciencesCVDs treatment strategyImmunology and AllergyAnimalsHumansvascular inflammationSTAT1STAT2STAT3Vascular inflammationCells CulturedOriginal ResearchOxadiazolesGene Expression ProfilingSTATPattern recognition receptorin silico dockingFarmaciaAtherosclerosisCyclic S-OxidesMice Inbred C57BLSTAT Transcription Factors030104 developmental biologyCardiovascular DiseasesTLR4biology.proteinSTAT proteinCancer researchQuinolinesmulti-STAT inhibitorsMulti-STAT inhibitorslcsh:RC581-607Genome-Wide Association StudySignal TransductionFrontiers in immunology
researchProduct

Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs

2019

Abstract The T cell repertoire is composed of T cell receptors (TCR) selected by their cognate MHC-peptides and naive TCR that do not bind known peptides. While the task of distinguishing a peptide-binding TCR from a naive TCR unlikely to bind any peptide can be performed using sequence motifs, distinguishing between TCRs binding different peptides requires more advanced methods. Such a prediction is the key for using TCR repertoires as disease-specific biomarkers. We here used large scale TCR-peptide dictionaries with state-of-the-art natural language processing (NLP) methods to produce ERGO (pEptide tcR matchinG predictiOn), a highly specific classifier to predict which TCR binds to which…

lcsh:Immunologic diseases. AllergyComputer scienceevaluation methodsT-LymphocytesT cellImmunologyReceptors Antigen T-CellEpitopes T-LymphocyteTarget peptidePeptide bindingPeptidechemical and pharmacologic phenomenaComputational biologyLigandsSoftware implementationautoencoder (AE)AntigenEvaluation methodsmedicineImmunology and AllergyHumansProtein Interaction Domains and MotifsEpitope specificityAntigensDatabases ProteinOriginal Researchchemistry.chemical_classificationBinding SitesT cell repertoireChemistryRepertoirelong short-term memory (LSTM)T-cell receptorepitope specificitydeep learninghemic and immune systemsmedicine.anatomical_structuremachine learningPeptidesSequence motiflcsh:RC581-607SoftwareProtein BindingSignal TransductionTCR repertoire analysisFrontiers in Immunology
researchProduct

The distributions of protein coding genes within chromatin domains in relation to human disease.

2019

Abstract Background Our understanding of the nuclear chromatin structure has increased hugely during the last years mainly as a consequence of the advances in chromatin conformation capture methods like Hi-C. The unprecedented resolution of genome-wide interaction maps shows functional consequences that extend the initial thought of an efficient DNA packaging mechanism: gene regulation, DNA repair, chromosomal translocations and evolutionary rearrangements seem to be only the peak of the iceberg. One key concept emerging from this research is the topologically associating domains (TADs) whose functional role in gene regulation and their association with disease is not fully untangled. Resul…

lcsh:QH426-470Computational biologyBiologyChromatin structureCell LineChromosome conformation captureOpen Reading FramesGene expressionDatabases GeneticGeneticsEnhancersHumansDiseaseEnhancerMolecular BiologyGeneRegulation of gene expressionHousekeeping genesTopologically associating domainsResearchHuman diseasesTADGenes associated with diseaseHuman geneticsChromatinChromatinHousekeeping geneGene regulationlcsh:GeneticsEnhancer Elements GeneticTranscription Initiation SiteChromatin interactionsEpigeneticschromatin
researchProduct

Role of RNA Motifs in RNA Interaction with Membrane Lipid Rafts: Implications for Therapeutic Applications of Exosomal RNAs

2021

RNA motifs may promote interactions with exosomes (EXO-motifs) and lipid rafts (RAFT-motifs) that are enriched in exosomal membranes. These interactions can promote selective RNA loading into exosomes. We quantified the affinity between RNA aptamers containing various EXO- and RAFT-motifs and membrane lipid rafts in a liposome model of exosomes by determining the dissociation constants. Analysis of the secondary structure of RNA molecules provided data about the possible location of EXO- and RAFT-motifs within the RNA structure. The affinity of RNAs containing RAFT-motifs (UUGU, UCCC, CUCC, CCCU) and some EXO-motifs (CCCU, UCCU) to rafted liposomes is higher in comparison to aptamers withou…

liposomesFRET spectroscopyQH301-705.5AptamerRNA-binding proteinexosomesRNA motifsArticleCatalysisInorganic ChemistryMembrane LipidsMembrane MicrodomainsmicroRNAHumansRNA aptamersNucleotide MotifsBiology (General)Physical and Theoretical ChemistryNucleic acid structureQD1-999Molecular BiologyLipid raftSpectroscopyChemistryOrganic ChemistryRNAGeneral MedicineAptamers NucleotideNon-coding RNAMicrovesiclesComputer Science ApplicationsCell biologyChemistryNucleic Acid ConformationRNAlipids (amino acids peptides and proteins)International Journal of Molecular Sciences
researchProduct

Binding of RNA Aptamers to Membrane Lipid Rafts: Implications for Exosomal miRNAs Transfer from Cancer to Immune Cells

2020

Intraluminal vesicles (ILVs) are released into the extracellular space as exosomes after the fusion of multivesicular bodies (MVBs) with the plasma membrane. miRNAs are delivered to the raft-like region of MVB by RNA-binding proteins (RBPs). RNA loading into exosomes can be either through direct interaction between RNA and the raft-like region of the MVB membrane, or through interaction between an RBP&ndash

liposomesendocrine systemmacromolecular substancesexosomesArticleCatalysisraftslcsh:ChemistryInorganic ChemistryMembrane LipidsMembrane Microdomainsimmune cellsCell Line TumorNeoplasmsmicroRNAHumansRNA aptamersPhysical and Theoretical Chemistrylcsh:QH301-705.5Molecular BiologyLipid raftSpectroscopyChemistrySELEXMacrophagesVesicleCell MembraneOrganic ChemistryMultivesicular BodiesRNA-Binding ProteinsRNADendritic CellsGeneral MedicineRaftAptamers NucleotideMicrovesiclesComputer Science ApplicationsCell biologyKiller Cells NaturalMicroRNAslcsh:Biology (General)lcsh:QD1-999Cancer cellmiRNAslipids (amino acids peptides and proteins)Systematic evolution of ligands by exponential enrichmentInternational Journal of Molecular Sciences
researchProduct