Search results for " tissues"

showing 10 items of 58 documents

Bone Fusion in Normal and Pathological Development is Constrained by the Network Architecture of the Human Skull

2016

The premature fusion of cranial bones, craniosynostosis, affects the correct development of the skull producing morphological malformations in newborns. To assess the susceptibility of each craniofacial articulation to close prematurely, we used a network model of the skull to quantify the link reliability (an index based on stochastic block modeling and Bayesian inference) of each articulation. We show that, of the 93 human skull articulations at birth, the few articulations that are associated with nonsyndromic craniosynostosis conditions have statistically significant lower reliability scores than the others. In a similar way, articulations that close during the normal postnatal developm…

Craniometria0301 basic medicineSciencemedicine.medical_treatmentBiologyCraniosynostosesQuantitative Biology - Quantitative MethodsBone and BonesArticleCraniosynostosisXarxes (Matemàtica)Craniosynostoses03 medical and health sciencesHuman skullChemical engineeringCraniosynostosismedicineHumansCraniofacialTissues and Organs (q-bio.TO)PathologicalQuantitative Methods (q-bio.QM)Bone DevelopmentMultidisciplinarySkullQInfant NewbornRIngeniería químicaBayes TheoremQuantitative Biology - Tissues and OrgansAnatomymedicine.diseaseSkullSpinal Fusion030104 developmental biologymedicine.anatomical_structureFOS: Biological sciencesSpinal fusion2045-2322Crani--Malformacions--TractamentMedicineNeural Networks ComputerArticulation (phonetics)Enginyeria químicaAlgorithmsScientific Reports
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An advanced numerical treatment of EM absorption in human tissue

2020

The numerical computation of local electromagnetic absorption at points within the human tissue is proposed by avoiding the mesh generation in the problem domain. Recently, meshless numerical methods have been introduced as an alter- native computational approach to mesh based methods. This is an important feature to generate competitive procedure able to provide final evaluations for large data amounts in real time. In this paper the smoothed particle hydrodynamics method is considered to compute the electromagnetic absorption. First experiments are performed in two dimension at single frequencies by considering incident TM plane wave on 2D cylinder simulating a simplified model of human t…

Electromagnetic absorption SPH Biological tissuesComputer scienceComputationNumerical analysisPlane wave02 engineering and technology01 natural sciences010101 applied mathematicsSmoothed-particle hydrodynamicsSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMesh generationFeature (computer vision)0202 electrical engineering electronic engineering information engineeringCylinder020201 artificial intelligence & image processing0101 mathematicsAbsorption (electromagnetic radiation)Algorithm2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)
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Leucine-rich repeat-containing G-protein-coupled receptor 5 (Lgr5) as a putative human endometrial stem cell marker†

2013

The endometrium is recognized for its remarkable regenerative and remodeling capacity. Every month this hormonally regu- lated organ undergoes cycles of growth (from 0.5-2 to 7 mm), regression and shedding of two-third of the tissue, leading to its monthly renewal that occurs � 400 times in a woman's reproductive lifetime. Several groups have suggested the existence of a human endometrial somatic stem cell (SSC) population located around the spiral arterioles of the basalis. Different groups have isolated, identified and charac- terized putative endometrial SSC populations in human endometrium based on the general features of undifferentiated cells, such as slow cycling detected using the 5…

Embryologymedicine.medical_specialtyPopulationBiologyEndometriumStem cell markerLgr5 human endometrium regenerative tissues somatic stem cells stem cell markerReceptors G-Protein-CoupledEndometriumMiceSide populationInternal medicineGeneticsmedicineAnimalsHumanseducationMolecular Biologyeducation.field_of_studyWnt signaling pathwayLGR5Obstetrics and GynecologyCell BiologyCell biologyAdult Stem Cellsmedicine.anatomical_structureEndocrinologyReproductive MedicineFemaleStem cellDevelopmental BiologyAdult stem cellMHR: Basic science of reproductive medicine
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Correction: DAPIT Over-Expression Modulates Glucose Metabolism and Cell Behaviour in HEK293T Cells

2015

Introduction Diabetes Associated Protein in Insulin-sensitive Tissues (DAPIT) is a subunit of mitochondrial ATP synthase and has also been found to associate with the vacuolar H+-ATPase. Its expression is particularly high in cells with elevated aerobic metabolism and in epithelial cells that actively transport nutrients and ions. Deletion of DAPIT is known to induce loss of mitochondrial ATP synthase but the effects of its over-expression are obscure. Results In order to study the consequences of high expression of DAPIT, we constructed a transgenic cell line that constitutively expressed DAPIT in human embryonal kidney cells, HEK293T. Enhanced DAPIT expression decreased mtDNA content and …

Epithelial-Mesenchymal Transitionmitochondrial metabolismBiolääketieteet - BiomedicineCellActive Transport Cell NucleusGene DosageRespiratory chainlcsh:MedicineGene ExpressionMitochondrionta3111glukoosiNeoplasmsmedicineHumansLactic Acidglucoselcsh:ScienceTranscription factorMultidisciplinaryATP synthasebiologyCell growthta1184lcsh:RHEK 293 cellsCorrectionMitochondrial Proton-Translocating ATPasesMitochondriaCell biologyHEK293 CellsDiabetes Associated Protein in Insulin-sensitive Tissuesmedicine.anatomical_structureCell culturebiology.proteinATP synthaselcsh:QResearch ArticlePLOS ONE
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Fast PET Scan Tumor Segmentation Using Superpixels, Principal Component Analysis and K-Means Clustering

2018

Positron Emission Tomography scan images are extensively used in radiotherapy planning, clinical diagnosis, assessment of growth and treatment of a tumor. These all rely on fidelity and speed of detection and delineation algorithm. Despite intensive research, segmentation remained a challenging problem due to the diverse image content, resolution, shape, and noise. This paper presents a fast positron emission tomography tumor segmentation method in which superpixels are extracted first from the input image. Principal component analysis is then applied on the superpixels and also on their average. Distance vector of each superpixel from the average is computed in principal components coordin…

FOS: Computer and information sciencespositron emission tomographyprincipal component analysisComputer scienceComputer Vision and Pattern Recognition (cs.CV)k-meansCoordinate systemComputer Science - Computer Vision and Pattern RecognitionFOS: Physical sciences02 engineering and technologyBenchmarkQuantitative Biology - Quantitative MethodsBiochemistry Genetics and Molecular Biology (miscellaneous)030218 nuclear medicine & medical imagingsuperpixels03 medical and health sciences0302 clinical medicineStructural Biology0202 electrical engineering electronic engineering information engineeringmedicineSegmentationComputer visionTissues and Organs (q-bio.TO)Cluster analysisQuantitative Methods (q-bio.QM)Pixelmedicine.diagnostic_testbusiness.industrysegmentationk-means clusteringQuantitative Biology - Tissues and OrgansPattern recognitionPhysics - Medical PhysicsPositron emission tomographyFOS: Biological sciencesPhysics - Data Analysis Statistics and ProbabilityPrincipal component analysis020201 artificial intelligence & image processingMedical Physics (physics.med-ph)Artificial intelligenceNoise (video)businessData Analysis Statistics and Probability (physics.data-an)BiotechnologyMethods and Protocols
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Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis

2016

In this article, a fully unsupervised method for brain tissue segmentation of T1-weighted MRI 3D volumes is proposed. The method uses the Fuzzy C-Means (FCM) clustering algorithm and a Fully Connected Cascade Neural Network (FCCNN) classifier. Traditional manual segmentation methods require neuro-radiological expertise and significant time while semiautomatic methods depend on parameter's setup and trial-and-error methodologies that may lead to high intraoperator/interoperator variability. The proposed method selects the most useful MRI data according to FCM fuzziness values and trains the FCCNN to learn to classify brain’ tissues into White Matter, Gray Matter, and Cerebro-Spinal Fluid in …

Fuzzy clusteringComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreFuzzy logicImaging phantom030218 nuclear medicine & medical imaging03 medical and health sciencesbrain images segmentation0302 clinical medicinevoxel-based morphometryBrain segmentationSegmentationElectrical and Electronic EngineeringCluster analysisSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtificial neural networkbusiness.industryUsabilityneural networksElectronic Optical and Magnetic MaterialsComputingMethodologies_PATTERNRECOGNITIONfuzzy clusteringunsupervised tissues classificationComputer Vision and Pattern RecognitionData miningbusinesscomputer030217 neurology & neurosurgerySoftwareInternational Journal of Imaging Systems and Technology
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Modélisation numérique d’impacts à hautes vitesses par la méthode sans maillage Smoothed Particles Hydrodynamics. Application aux micro-impacts dans …

2021

Investigations on the ballistic behaviours of soft tissue materials are significant research in a medical and pharmaceutical framework. They mainly focus on particles penetrating or traveling into the soft materials. For instance, in the needle-free drug delivery, the micro-scale particles as drug powders are injected into skin with high velocity, and several factors should be considered such as the particle diameters, trajectories, and momentum or velocities of projectile in this process. There have been investigated by some experiments, but there is still no study from the numerical insights.The numerical methods are suitable to study these kinds of processes. Although grid-based methods …

High-Velocity impact[SPI.OTHER]Engineering Sciences [physics]/OtherMicro-Impacts[SPI.OTHER] Engineering Sciences [physics]/OtherTissus mousImpact à hautes vitesseSoft tissuesSmoothed Particles HydrodynamicsPénétrations à micro-Échelle
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Gene expression of stem cells at different stages of ontological human development.

2013

Abstract Objectives To compare multipotent mesenchymal stem cells (MSCs) obtained from chorionic villi (CV), amniotic fluid (AF) and placenta, with regard to their phenotype and gene expression, in order to understand if MSCs derived from different extra-embryonic tissues, at different stages of human ontological development, present distinct stemness characteristics. Study design MSCs obtained from 30 samples of CV, 30 of AF and 10 placentas (obtained from elective caesarean sections) were compared. MSCs at second confluence cultures were characterized by immunophenotypic analysis with flow cytometry using FACS CANTO II. The expression of the genes Oct-4 (Octamer-binding transcription fact…

Homeobox protein NANOGAdultPAX6 Transcription FactorKruppel-Like Transcription FactorsBiologyFetal DevelopmentYoung AdultMesenchymal stem cells; Extra-embryonic tissues; Gene expressionPregnancyGene expressionHumansPaired Box Transcription FactorsCD90Eye ProteinsMesenchymal stem cellHomeodomain ProteinsExtra-embryonic tissueSOXB1 Transcription FactorsMesenchymal stem cellObstetrics and GynecologyGene Expression Regulation DevelopmentalMesenchymal Stem CellsNanog Homeobox ProteinMiddle AgedAmniotic FluidMolecular biologyRepressor ProteinsHaematopoiesisSettore MED/18 - Chirurgia GeneraleReal-time polymerase chain reactionReproductive Medicineembryonic structuresFemaleRNA extractionGene expressionStem cellChorionic VilliOctamer Transcription Factor-3European journal of obstetrics, gynecology, and reproductive biology
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[Construction and reaction of the mucosa-associated-lymphatic tissue (MALT) in the middle ear, the Tuba Eustachii and the larynx of the rat].

2003

LarynxImmunity CellularMucous Membranebusiness.industryLymphoid TissueEustachian TubeMacrophagesEar MiddleCellular ImmunologyAnatomyLymphatic tissuesLymphocyte SubsetsRatsOtitis Mediamedicine.anatomical_structureLaryngitisOtorhinolaryngologyMiddle earMedicineAnimalsHumansTracheitisLarynxbusinessLaryngo- rhino- otologie
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Extracellular vesicles do not mediate the anti-inflammatory actions of mouse-derived adipose tissue mesenchymal stem cells secretome

2021

Este artículo se encuentra disponible en la siguiente URL: https://www.mdpi.com/1422-0067/22/3/1375 Este artículo pertenece al número especial "The Role of Mesenchymal Stem Cells on Inflammatory and Fibrotic Diseases". Adipose tissue represents an abundant source of mesenchymal stem cells (MSC) for therapeutic purposes. Previous studies have demonstrated the anti-inflammatory potential of adipose tissue-derived MSC (ASC). Extracellular vesicles (EV) present in the conditioned medium (CM) have been shown to mediate the cytoprotective effects of human ASC secretome. Nevertheless, the role of EV in the anti-inflammatory effects of mouse-derived ASC is not known. The current study has investiga…

LipopolysaccharidesMaleChemokineLipopolysaccharideCélulas madre - Uso terapéutico.Adipose tissueInflammationmacrophageArticleCatalysisNitric oxideStem cells - Therapeutic use.lcsh:ChemistryInorganic ChemistryMicechemistry.chemical_compoundmedicineAnimalsMacrophageInflamación - Tratamiento.mesenchymal stem cells secretomePhysical and Theoretical ChemistryMacrophages.Receptorlcsh:QH301-705.5Molecular BiologyCells CulturedSpectroscopybiologyChemistryInflammation - Treatment.MacrophagesOrganic ChemistryMesenchymal stem cellmouse-derived adipose tissueMesenchymal Stem CellsGeneral MedicineAdipose tissues - Therapeutic use.Computer Science ApplicationsCell biologylcsh:Biology (General)lcsh:QD1-999inflammationMacrófagos.biology.proteinTejido adiposo - Uso terapéutico.medicine.symptomextracellular vesicles
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