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能斯特方程:利用物理化学定律指导新型实验设计。

The Nernst equation: using physico-chemical laws to steer novel experimental design.

机构信息

School of Life Sciences, University of Nottingham, Nottingham, United Kingdom.

Department of Neurology, University of Washington, Seattle, Washington.

出版信息

Adv Physiol Educ. 2022 Mar 1;46(1):206-210. doi: 10.1152/advan.00191.2021. Epub 2022 Jan 20.

Abstract

The application of physico-chemical principles has been routinely used to explain various physiological concepts. The Nernst equation is one example of this, used to predict the potential difference created by the transmembrane ion gradient resulting from uneven ion distribution within cellular compartments and the interstitial space. This relationship remains of fundamental importance to the understanding of electrical signaling in the brain, which relies on current flow across cell membranes. We describe four distinct occasions when the Nernst equation was ingeniously applied in experimental design to illuminate diverse cellular functions, from the dependence of the action potential on Na influx to K buffering in astrocytes. These examples are discussed with the aim of inspiring students to appreciate how the application of seemingly textbook-bound concepts can dictate novel experimental design across physiological disciplines.

摘要

物理化学原理的应用已被常规用于解释各种生理学概念。能斯特方程就是一个例子,它被用来预测跨膜离子梯度产生的电位差,这种梯度是由细胞区室和细胞间隙内部离子分布不均匀引起的。这种关系对于理解依赖于跨细胞膜电流的大脑电信号仍然具有重要的基础性作用。我们描述了能斯特方程在实验设计中巧妙应用的四个不同情况,从动作电位对 Na 内流的依赖性到星形胶质细胞中的 K 缓冲作用。讨论这些例子的目的是激发学生欣赏如何应用看似局限于课本的概念来指导生理学各学科的新实验设计。

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