Computational Biology & Health Informatics, Department of Computer Science, University of Oxford, Oxford, UK.
Centre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.
Philos Trans A Math Phys Eng Sci. 2020 Jun 12;378(2173):20190348. doi: 10.1098/rsta.2019.0348. Epub 2020 May 25.
Mathematical models of ion channels, which constitute indispensable components of action potential models, are commonly constructed by fitting to whole-cell patch-clamp data. In a previous study, we fitted cell-specific models to hERG1a (Kv11.1) recordings simultaneously measured using an automated high-throughput system, and studied cell-cell variability by inspecting the resulting model parameters. However, the origin of the observed variability was not identified. Here, we study the source of variability by constructing a model that describes not just ion current dynamics, but the entire voltage-clamp experiment. The experimental artefact components of the model include: series resistance, membrane and pipette capacitance, voltage offsets, imperfect compensations made by the amplifier for these phenomena, and leak current. In this model, variability in the observations can be explained by either cell properties, measurement artefacts, or both. Remarkably, by assuming that variability arises exclusively from measurement artefacts, it is possible to explain a larger amount of the observed variability than when assuming cell-specific ion current kinetics. This assumption also leads to a smaller number of model parameters. This result suggests that most of the observed variability in patch-clamp data measured under the same conditions is caused by experimental artefacts, and hence can be compensated for in post-processing by using our model for the patch-clamp experiment. This study has implications for the question of the extent to which cell-cell variability in ion channel kinetics exists, and opens up routes for better correction of artefacts in patch-clamp data. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
离子通道的数学模型是动作电位模型不可缺少的组成部分,通常通过拟合全细胞膜片钳数据来构建。在之前的一项研究中,我们使用自动化高通量系统同时测量 hERG1a(Kv11.1)记录,并通过检查得出的模型参数来研究细胞间的变异性。然而,观察到的变异性的来源尚未确定。在这里,我们通过构建一个不仅描述离子电流动力学,而且描述整个电压钳实验的模型来研究变异性的来源。模型的实验伪影组成部分包括:串联电阻、膜和管电容、电压偏移、放大器对这些现象的不完全补偿以及漏电流。在这个模型中,观察到的变异性可以由细胞特性、测量伪影或两者共同解释。值得注意的是,假设变异性仅来自测量伪影,就有可能比假设细胞特异性离子电流动力学更能解释观察到的变异性。这种假设还导致模型参数数量减少。这一结果表明,在相同条件下测量的膜片钳数据中观察到的大部分变异性是由实验伪影引起的,因此可以通过使用我们的膜片钳实验模型在后期处理中进行补偿。这项研究对离子通道动力学中细胞间变异性存在的程度这一问题具有重要意义,并为更好地纠正膜片钳数据中的伪影开辟了途径。本文是“心脏和心血管建模与模拟中的不确定性量化”主题特刊的一部分。