动作电位和钙动力学耦合是多巴胺能神经元强劲自发点火的基础。

IF 2 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Hadeel Khamis, Ohad Cohen
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引用次数: 0

摘要

多巴胺能神经元是黑质中的特化细胞,负责分泌多巴胺。这种分泌依赖于与神经元电活动相耦合的细胞内钙信号传导。众所周知,这些神经元在体外和体内都会显示自发的钙振荡,即使在突触隔离的情况下也是如此,从而控制基础多巴胺水平。在这里,我们概述了神经元质膜离子交换的动力学模型。最重要的是,我们放宽了细胞质钠和钾浓度恒定的假设。我们的研究表明,钠-钾动力学与钙动力学紧密耦合,对自发点火频率的稳健性至关重要。该模型预测了电活动的几种状态,包括强直振荡和 "猝发 "振荡,并预测了它们在扰动下的切换。"猝发 "与钙振幅增大相关,同时保持恒定的平均值,使负责多巴胺分泌的钙信号发生巨大变化。所有上述特征都为创造对细胞功能至关重要的丰富动作电位动态提供了灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coupled action potential and calcium dynamics underlie robust spontaneous firing in dopaminergic neurons.

Dopaminergic neurons are specialized cells in the substantia nigra, tasked with dopamine secretion. This secretion relies on intracellular calcium signaling coupled to neuronal electrical activity. These neurons are known to display spontaneous calcium oscillationsin-vitroandin-vivo, even in synaptic isolation, controlling the basal dopamine levels. Here we outline a kinetic model for the ion exchange across the neuronal plasma membrane. Crucially, we relax the assumption of constant, cytoplasmic sodium and potassium concentration. We show that sodium-potassium dynamics are strongly coupled to calcium dynamics and are essential for the robustness of spontaneous firing frequency. The model predicts several regimes of electrical activity, including tonic and 'burst' oscillations, and predicts the switch between those in response to perturbations. 'Bursting' correlates with increased calcium amplitudes, while maintaining constant average, allowing for a vast change in the calcium signal responsible for dopamine secretion. All the above traits provide the flexibility to create rich action potential dynamics that are crucial for cellular function.

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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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