Computational model of electrode-induced microenvironmental effects on pH measurements near a cell membrane.

IF 1.9 4区 数学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Multiscale Modeling & Simulation Pub Date : 2020-01-01 Epub Date: 2020-05-28 DOI:10.1137/19m1262875
D Calvetti, J Prezioso, R Occhipinti, W F Boron, E Somersalo
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引用次数: 6

Abstract

The mechanism of gas transport across cell membranes remains a topic of considerable interest, particularly regarding the extent to which lipids vs. specific membrane proteins provide conduction pathways. Studies of transmembrane (CO2) transport often rely on data collected under controlled conditions, using pH-sensitive microelectrodes at the extracellular surface to record changes due to extracellular CO2 diffusion and reactions. Although recent detailed computational models can predict a qualitatively correct behavior, a mismatch between the dynamical ranges of the predicted and observed pH curves raises the question whether the discrepancy may be due to a bias introduced by the pH electrode itself. More specifically, it is reasonable to ask whether bringing the electrode tip near or in contact with the membrane creates a local microenvironment between the electrode tip and the membrane, so that the measured data refer to the microenvironment rather than to the free surface. Here, we introduce a detailed computational model, designed to address this question. We find that, as long as a zone of free diffusion exists between the tip and the membrane, the microenvironment behaves effectively as the free membrane. However, according to our model, when the tip contacts the membrane, partial quenching of extracellular diffusion by the electrode rim leads to a significant increase in the pH dynamics under the electrode, matching values measured in physiological experiments. The computational schemes for the model predictions are based on semi-discretization by a finite-element method, and an implicit-explicit time integration scheme to capture the different time scales of the system.

电极诱导微环境对细胞膜附近pH值测量影响的计算模型。
气体跨细胞膜运输的机制仍然是一个相当有趣的话题,特别是关于脂质与特定膜蛋白提供传导途径的程度。跨膜(CO2)运输的研究通常依赖于在受控条件下收集的数据,使用细胞外表面的ph敏感微电极记录细胞外CO2扩散和反应引起的变化。虽然最近详细的计算模型可以预测定性正确的行为,但预测和观察到的pH曲线的动态范围之间的不匹配提出了一个问题,即这种差异是否可能是由于pH电极本身引入的偏差。更具体地说,当电极尖端靠近或接触膜时,是否会在电极尖端和膜之间产生局部微环境,从而使测量数据指的是微环境而不是自由表面,这是合理的。在这里,我们介绍一个详细的计算模型,旨在解决这个问题。我们发现,只要在尖端和膜之间存在自由扩散区,微环境就能有效地表现为自由膜。然而,根据我们的模型,当尖端接触膜时,电极边缘的细胞外扩散部分淬灭导致电极下pH动力学的显著增加,与生理实验中测量的值相匹配。模型预测的计算方案是基于有限元法的半离散化和隐式-显式时间积分方案,以捕获系统的不同时间尺度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Multiscale Modeling & Simulation
Multiscale Modeling & Simulation 数学-数学跨学科应用
CiteScore
2.80
自引率
6.20%
发文量
45
审稿时长
6-12 weeks
期刊介绍: Centered around multiscale phenomena, Multiscale Modeling and Simulation (MMS) is an interdisciplinary journal focusing on the fundamental modeling and computational principles underlying various multiscale methods. By its nature, multiscale modeling is highly interdisciplinary, with developments occurring independently across fields. A broad range of scientific and engineering problems involve multiple scales. Traditional monoscale approaches have proven to be inadequate, even with the largest supercomputers, because of the range of scales and the prohibitively large number of variables involved. Thus, there is a growing need to develop systematic modeling and simulation approaches for multiscale problems. MMS will provide a single broad, authoritative source for results in this area.
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