Search results for "SINS"

showing 10 items of 1323 documents

The silicatein propeptide acts as inhibitor/modulator of self-organization during spicule axial filament formation.

2013

Silicateins are crucial enzymes that are involved in formation of the inorganic biosilica scaffold of the spicular skeleton of siliceous sponges. We show that silicatein acquires its structure-guiding and enzymatically active state by processing of silicatein from pro-silicatein to the mature enzyme. A recombinant propeptide (PROP) of silicatein from the siliceous demosponge Suberites domuncula was prepared, and antibodies were raised against the peptide. In sponge tissue, these antibodies reacted with both surface structures and the central region of the spicules. Using phage display expression, spicule-binding 12-mer peptides were identified that are rich in histidine residues. In the pre…

SpiculeProtein ConformationMolecular Sequence Data02 engineering and technologyArginineBiochemistry03 medical and health sciencesProtein structurePeptide LibraryAnimalsUreaHistidineAmino Acid SequenceProtein PrecursorsProtein precursorMolecular BiologyPeptide sequenceHistidine030304 developmental biology0303 health sciencesbiologyLysineCell Biology021001 nanoscience & nanotechnologybiology.organism_classificationCathepsinsProtein tertiary structureRecombinant ProteinsSuberites domunculaBiochemistry0210 nano-technologyPeptidesSuberitesSuberitesThe FEBS journal
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Biosilica formation in spicules of the sponge Suberites domuncula: synchronous expression of a gene cluster.

2005

The formation of spicules is a complicated morphogenetic process in sponges (phylum Porifera). The primmorph system was used to demonstrate that in the demosponge Suberites domuncula the synthesis of the siliceous spicules starts intracellularly and is dependent on the concentration of silicic acid. To understand spicule formation, a cluster of genes was isolated. In the center of this cluster is the silicatein gene, which codes for the enzyme that synthesizes spicules. This gene is flanked by an ankyrin repeat gene at one side and by a tumor necrosis factor receptor-associated factor and a protein kinase gene at the other side. All genes are strongly expressed in primmorphs and intact anim…

SpiculebiologyBase SequenceMolecular Sequence DataSilicic Acidbiology.organism_classificationCathepsinsCell biologyMicrobiologyEnzymesSuberites domunculaSpongeDemospongeSponge spiculeGene Expression RegulationGene expressionGene clusterGeneticsAnimalsSuberitesGeneGenomics
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Integrating Telemedicine Solutions with Electronic Health Records; Evaluation of Alternatives based on the Proposed Reference Architecture for Norway

2016

This report studies the way forward for how a telemedicine solution can be integrated for exchange of data with an existing Electronic Health Record (EHR) system. The solution used an example for this report is based on a telemedicine solution for COPD patients (Chronic Obstructive Pulmonary Disease) developed in the project “Collaborative Point-of-Care Services Agder: Follow-up of COPD patients as part of the United4Health EU Project», with financial support from the Research Council of Norway. In addition, the EHR solution from DIPS ASA is used as an example of an existing system for integration. Important parameters for choosing way forward on how to are: • urgency with regards to timeli…

StandardiseringVDP::Medical technology: 620StandardisationVDP::Medisinsk teknologi: 620TelemedisinTelemedicine
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Tribolium castaneum immune defense genes are differentially expressed in response to Bacillus thuringiensis toxins sharing common receptor molecules …

2015

In Tribolium castaneum larvae we have demonstrated by RNA interference knockdown that the Bacillus thuringiensis Cry3Ba toxin receptors Cadherin-like and Sodium solute symporter proteins are also functional receptors of the less active Cry3Aa toxin. Differences in susceptibility to B. thuringiensis infection might not only rely on toxin-receptor interaction but also on host defense mechanisms. We compared the expression of the immune related genes encoding Apolipophorin-III and two antimicrobial peptides, Defensin3 and Defensin2 after B. thuringiensis challenge. All three genes were up-regulated following Cry3Ba spore-crystal intoxication whereas only Defensins gene expression was induced u…

Staphylococcus aureusImmunologyAntimicrobial peptidesBacterial ToxinsMolecular Sequence DataBacillus thuringiensisBiologymedicine.disease_causeMicrobiologyDefensinsHemolysin ProteinsImmune systemBacterial ProteinsRNA interferenceBacillus thuringiensisGene expressionCandida albicansmedicineEscherichia coliAnimalsAmino Acid SequenceRNA Small InterferingDefensinTriboliumInnate immune systemBacillus thuringiensis ToxinsSymportersToxinfungibiology.organism_classificationAnti-Bacterial AgentsEndotoxinsApolipoproteinsLarvaInsect ProteinsRNA InterferenceDevelopmental BiologyDevelopmental and comparative immunology
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An Extended Filament Based Lamellipodium Model Produces Various Moving Cell Shapes in the Presence of Chemotactic Signals

2015

The Filament Based Lamellipodium Model (FBLM) is a two-phase two-dimensional continuum model, describing the dynamcis of two interacting families of locally parallel actin filaments (C.Schmeiser and D.Oelz, How do cells move? Mathematical modeling of cytoskeleton dynamics and cell migration. Cell mechanics: from single scale-based models to multiscale modeling. Chapman and Hall, 2010). It contains accounts of the filaments' bending stiffness, of adhesion to the substrate, and of cross-links connecting the two families. An extension of the model is presented with contributions from nucleation of filaments by branching, from capping, from contraction by actin-myosin interaction, and from a pr…

Statistics and ProbabilityNucleationNanotechnologymacromolecular substancesMyosinsBranching (polymer chemistry)Models BiologicalGeneral Biochemistry Genetics and Molecular BiologyPolymerizationQuantitative Biology::Cell BehaviorProtein filamentQuantitative Biology::Subcellular ProcessesCell Behavior (q-bio.CB)CoulombAnimalsComputer SimulationPseudopodiaCytoskeletonCell ShapeActinPhysicsGeneral Immunology and MicrobiologyApplied MathematicsChemotaxisChemotaxisNumerical Analysis Computer-AssistedGeneral Medicine92C17Actin CytoskeletonClassical mechanicsModeling and SimulationFOS: Biological sciencesQuantitative Biology - Cell BehaviorLamellipodiumGeneral Agricultural and Biological SciencesSignal Transduction
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A core cochlear phenotype in USH1 mouse mutants implicates fibrous links of the hair bundle in its cohesion, orientation and differential growth

2008

The planar polarity and staircase-like pattern of the hair bundle are essential to the mechanoelectrical transduction function of inner ear sensory cells. Mutations in genes encoding myosin VIIa, harmonin, cadherin 23,protocadherin 15 or sans cause Usher syndrome type I (USH1, characterized by congenital deafness, vestibular dysfunction and retinitis pigmentosa leading to blindness) in humans and hair bundle disorganization in mice. Whether the USH1 proteins are involved in common hair bundle morphogenetic processes is unknown. Here, we show that mouse models for the five USH1 genetic forms share hair bundle morphological defects. Hair bundle fragmentation and misorientation (25-52° mean ki…

Stereocilia (inner ear)Cadherin Related ProteinsProtocadherinCell Cycle ProteinsNerve Tissue ProteinsMyosinsBiologyMechanotransduction CellularMiceCDH23Pregnancyotorhinolaryngologic diseasesmedicineAnimalsHumansInner earProtein PrecursorsMolecular BiologyActinMice KnockoutCadherinDyneinsAnatomyCadherinsMice Mutant StrainsCochleaCell biologyCytoskeletal ProteinsDisease Models AnimalPhenotypemedicine.anatomical_structureMyosin VIIaMicroscopy Electron ScanningFemalesense organsCarrier ProteinsUsher SyndromesTip linkPCDH15Developmental BiologyDevelopment
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Cognitive Deficits in Chronic Stroke Patients: Neuropsychological Assessment, Depression, and Self-Reports

2017

<b><i>Background:</i></b> Following stroke, clinicians are challenged to detect and untangle symptoms of cognitive dysfunction and mood disorders. Additionally, they need to evaluate the informative value of self-reports to identify patients in need of further attendance. <b><i>Aims:</i></b> To examine the association between neuropsychological measures, symptoms of depression, and self-reported cognitive function. <b><i>Methods:</i></b> One-hundred and five chronic stroke patients underwent assessment covering 6 cognitive domains and answered the Hospital Anxiety and Depression Scale and the Memory and Thinking Scale f…

Stroke Impact ScaleCognitive Neurosciencelcsh:GeriatricsHospital Anxiety and Depression Scalelcsh:RC346-42903 medical and health sciences0302 clinical medicine:Medisinske Fag: 700 [VDP]medicineVDP::Medisinske Fag: 700Artikkel030212 general & internal medicineNeuropsychological assessmentEffects of sleep deprivation on cognitive performanceOriginal Research ArticleStrokelcsh:Neurology. Diseases of the nervous systemmedicine.diagnostic_testbusiness.industryDepressionNeuropsychologyCognitionmedicine.diseaseCognitive testStrokelcsh:RC952-954.6Psychiatry and Mental healthCognitive impairmentMood disordersbusinessSelf-report030217 neurology & neurosurgeryClinical psychologyDementia and Geriatric Cognitive Disorders EXTRA
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Parent Education Beyond Learning: An Ethnographic Exploration of a Multi-family Program for Families in Post-divorce Conflict

2021

SubjectificationSociology and Political ScienceVDP::Medisinske Fag: 700::Helsefag: 800::Andre helsefag: 829PedagogyParent educationEthnographyPsychology (miscellaneous)SociologyPeer review
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Internet of Things with Deep Learning-Based Face Recognition Approach for Authentication in Control Medical Systems

2022

Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role in many applications, including medical and healthcare systems. It can help users in this field get an advantage in terms of enhanced touchless authentication, especially in spreading infectious diseases like coronavirus disease 2019 (COVID-19). Even though there is a number of available security systems, they suffer from one or more of issues, such as identity fraud, loss of keys and passwords, or spreading diseases through touch authentication tools. To overcome these issues, IoT-based intelligent control medical authentication systems using DL models are proposed to enhance the security f…

Support Vector MachineGeneral Immunology and MicrobiologyArticle SubjectDatabases FactualSARS-CoV-2Applied MathematicsAutomated Facial RecognitionInternet of ThingsCOVID-19General MedicineEquipment DesignVDP::Teknologi: 500::Industri- og produktdesign: 640General Biochemistry Genetics and Molecular BiologyPattern Recognition AutomatedDeep LearningVDP::Teknologi: 500::Bioteknologi: 590VDP::Teknologi: 500::Medisinsk teknologi: 620Modeling and SimulationHumansComputer SimulationAlgorithmsComputer Security
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Effectively Predicting the Presence of Coronary Heart Disease Using Machine Learning Classifiers

2022

Coronary heart disease is one of the major causes of deaths around the globe. Predicating a heart disease is one of the most challenging tasks in the field of clinical data analysis. Machine learning (ML) is useful in diagnostic assistance in terms of decision making and prediction on the basis of the data produced by healthcare sector globally. We have also perceived ML techniques employed in the medical field of disease prediction. In this regard, numerous research studies have been shown on heart disease prediction using an ML classifier. In this paper, we used eleven ML classifiers to identify key features, which improved the predictability of heart disease. To introduce the prediction …

Support Vector MachineHeart DiseasesCoronary DiseaseBiochemistryAtomic and Molecular Physics and OpticsAnalytical ChemistryMachine LearningVDP::Teknologi: 500heart disease dataset; disease prediction; supervised learning; machine learningHumansVDP::Medisinske Fag: 700Neural Networks ComputerElectrical and Electronic EngineeringInstrumentationAlgorithmsSensors; Volume 22; Issue 19; Pages: 7227
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