Electrical Propagation of Condensed and Diffuse Ions Along Actin Filaments.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2022-02-01 Epub Date: 2021-08-15 DOI:10.1007/s10827-021-00795-4
Christian Hunley, Marcelo Marucho
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Abstract

In this article, we elucidate the roles of divalent ion condensation and highly polarized immobile water molecules on the propagation of ionic calcium waves along actin filaments. We introduced a novel electrical triple layer model and used a non-linear Debye-Huckel theory with a non-linear, dissipative, electrical transmission line model to characterize the physicochemical properties of each monomer in the filament. This characterization is carried out in terms of an electric circuit model containing monomeric flow resistances and ionic capacitances in both the condensed and diffuse layers. We considered resting and excited states of a neuron using representative mono and divalent electrolyte mixtures. Additionally, we used 0.05V and 0.15V voltage inputs to study ionic waves along actin filaments in voltage clamp experiments. Our results reveal that the physicochemical properties characterizing the condensed and diffuse layers lead to different electrical conductive mediums depending on the ionic species and the neuron state. This region specific propagation mechanism provides a more realistic avenue of delivery by way of cytoskeleton filaments for larger charged cationic species. A new direct path for transporting divalent ions might be crucial for many electrical processes found in localized neuron elements such as at mitochondria and dendritic spines.

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凝聚离子和扩散离子沿着肌动蛋白丝的电传播
本文阐明了二价离子凝结和高度极化的不动水分子对离子钙波沿肌动蛋白丝传播的作用。我们引入了一个新颖的电三层模型,并使用非线性 Debye-Huckel 理论和非线性、耗散、电传输线模型来描述丝中每个单体的物理化学特性。这种表征是通过包含凝聚层和扩散层中单体流动电阻和离子电容的电路模型进行的。我们使用具有代表性的一价和二价电解质混合物考虑了神经元的静息和兴奋状态。此外,我们还使用 0.05V 和 0.15V 电压输入,在电压钳实验中研究了沿着肌动蛋白丝的离子波。我们的研究结果表明,凝聚层和扩散层的物理化学特性会导致不同的导电介质,这取决于离子种类和神经元状态。这种区域特异性传播机制为通过细胞骨架丝传递带较大电荷的阳离子物种提供了更现实的途径。对于线粒体和树突棘等局部神经元中的许多电过程来说,二价离子的新直接传输途径可能至关重要。
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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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