Search results for "Embryonic stem cell"

showing 3 items of 223 documents

Embryonic adhesion is not affected by endometrial leptin receptor gene silencing.

2006

Objective In rodents, evidence suggests that the leptin system is mandatory for embryonic implantation. We aimed to investigate the functional relevance of the endometrial leptin receptor (OB-R) in the adhesion phase of human implantation. Design We used an in vitro model for embryonic adhesion, composed of a human endometrial cell line (HEC1-A) and B6C3F1 mouse embryos. The OB-R gene was silenced in a stable manner by RNA interference, and embryonic adhesion rates were analyzed. Setting Research laboratory at a university-affiliated center. Intervention(s) RNA interference. Main Outcome Measure(s) Embryonic adhesion in cells treated with OB-R RNAi. Result(s) The OB-R shRNA-transfected cell…

medicine.medical_specialtyReceptors Cell SurfaceBiologyCell LineSmall hairpin RNAEndometriumMiceRNA interferencePregnancyInternal medicinemedicineCell AdhesionGene silencingAnimalsHumansBlastocystEmbryo ImplantationGene SilencingCells CulturedLeptin receptorObstetrics and GynecologyTransfectionEmbryo MammalianEmbryonic stem cellCell biologymedicine.anatomical_structureEndocrinologyReproductive MedicineReceptors LeptinNeural cell adhesion moleculeFemaleFertility and sterility
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p73 deficiency results in impaired self renewal and premature neuronal differentiation of mouse neural progenitors independently of p53

2010

10 p.-5 fig.

p53Cancer ResearchGenotypeCellular differentiationImmunologyPopulationp73RegulatorBiologyCellular and Molecular NeuroscienceMiceNeurosphereAnimalsProgenitor celleducationCell ProliferationNeuronsNeural stem cellseducation.field_of_studyCell growthTumor Suppressor ProteinsNuclear ProteinsCell DifferentiationNeurodegenerative DiseasesTumor Protein p73Cell BiologyEmbryonic stem cellasymmetric divisionNeural stem cellCell biologyDNA-Binding ProteinsDifferentiationSelf-renewalOriginal ArticleTumor Suppressor Protein p53
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Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics

2012

In this paper we propose a firing statistics based neuronal network burst detection algorithm for neuronal networks exhibiting highly variable action potential dynamics. Electrical activity of neuronal networks is generally analyzed by the occurrences of spikes and bursts both in time and space. Commonly accepted analysis tools employ burst detection algorithms based on predefined criteria. However, maturing neuronal networks, such as those originating from human embryonic stem cells (hESCs), exhibit highly variable network structure and time-varying dynamics. To explore the developing burst/spike activities of such networks, we propose a burst detection algorithm which utilizes the firing …

purskeanalyysispike trainsQuantitative Biology::Neurons and CognitiontoimintapotentiaalipurskeetMEAmicroelectrode arrayaction potential burstsdeveloping neuronal networksihmisalkion kantasoluhuman embryonic stem cellssoluttoimintapotentiaaliryhmätnervous systemhESCsmikroelektordihilakehittyvät hermoverkotburst analysis
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