mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study. - Test2 - elhamkhani - TriplyDB

mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study.

mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study.

http://www.wikidata.org/entity/Q34598606

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Computer-based prediction of the drug proarrhythmic effect: problems, issues, known and suspected challenges Electrophysiology of Heart Failure Using a Rabbit Model: From the Failing Myocyte to Ventricular Fibrillation.Comprehensive analyses of ventricular myocyte models identify targets exhibiting favorable rate dependence Experimentally-Based Computational Investigation into Beat-To-Beat Variability in Ventricular Repolarization and Its Response to Ionic Current Inhibition Population of computational rabbit-specific ventricular action potential models for investigating sources of variability in cellular repolarisation Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue Cellular cardiac electrophysiology modeling with Chaste and CellML.Differential gene expression of cardiac ion channels in human dilated cardiomyopathy.Inter-subject variability in human atrial action potential in sinus rhythm versus chronic atrial fibrillation.Electrophysiological and structural remodeling in heart failure modulate arrhythmogenesis. 1D simulation study.Human cardiac systems electrophysiology and arrhythmogenesis: iteration of experiment and computation.Patients with Dilated Cardiomyopathy and Sustained Monomorphic Ventricular Tachycardia Show Up-Regulation of KCNN3 and KCNJ2 Genes and CACNG8-Linked Left Ventricular Dysfunction Cardiac tissue slices: preparation, handling, and successful optical mapping.Modeling an Excitable Biosynthetic Tissue with Inherent Variability for Paired Computational-Experimental Studies Reduced response to IKr blockade and altered hERG1a/1b stoichiometry in human heart failure In Vivo and In Silico Investigation Into Mechanisms of Frequency Dependence of Repolarization Alternans in Human Ventricular Cardiomyocytes There and back again: Iterating between population-based modeling and experiments reveals surprising regulation of calcium transients in rat cardiac myocytes.Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm.Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology.Cardiac action potential repolarization re-visited: early repolarization shows all-or-none behaviour.Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.Balance between sodium and calcium currents underlying chronic atrial fibrillation termination: An in silico intersubject variability study.Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity Effects of L-type calcium channel and human ether-a-go-go related gene blockers on the electrical activity of the human heart: a simulation study.Mechanisms of pro-arrhythmic abnormalities in ventricular repolarisation and anti-arrhythmic therapies in human hypertrophic cardiomyopathy.Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization.Sensitivity analysis revealing the effect of modulating ionic mechanisms on calcium dynamics in simulated human heart failure.Kv4.3 Modulates the Distribution of hERG.From ionic to cellular variability in human atrial myocytes: an integrative computational and experimental study.Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.δ-cells and β-cells are electrically coupled and regulate α-cell activity via somatostatin.Population-based mechanistic modeling allows for quantitative predictions of drug responses across cell types.A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research Ca Cycling Impairment in Heart Failure Is Exacerbated by Fibrosis: Insights Gained From Mechanistic Simulations miR-133: A Suppressor of Cardiac Remodeling?

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mRNA expression levels in failing human hearts predict cellular electrophysiological remodeling: a population-based simulation study.

http://www.wikidata.org/entity/Q34598606

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2013 nî lūn-bûn

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2013 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2013 թվականի փետրվարին հրատարակված գիտական հոդված

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2013年の論文

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年学术文章

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2013年學術文章

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mRNA expression levels in fail ...... lation-based simulation study.

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mRNA expression levels in fail ...... lation-based simulation study.

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Igor R Efimov

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P2860

Exploiting mathematical models to illuminate electrophysiological variability between individuals

Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation

Circadian rhythms govern cardiac repolarization and arrhythmogenesis

Simulation and mechanistic investigation of the arrhythmogenic role of the late sodium current in human heart failure

Regression analysis for constraining free parameters in electrophysiological models of cardiac cells.

Transmural dispersion of repolarization in failing and nonfailing human ventricle

Electrophysiological remodeling in hypertrophy and heart failure.

Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.

Gender differences in electrophysiological gene expression in failing and non-failing human hearts.

Transmural heterogeneity and remodeling of ventricular excitation-contraction coupling in human heart failure.

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electrophysiology

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