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离子通道记录的统计特性。第二部分:基于宏观电流的估计。

Statistical properties of ion channel records. Part II: estimation from the macroscopic current.

作者信息

Nekouzadeh Ali, Rudy Yoram

机构信息

Cardiac Bioelectricity and Arrhythmia Center, Washington University in St. Louis, 290 Whitaker Hall, Campus Box 1097, One Brooking Drive, St. Louis, MO 63130-4899, USA.

出版信息

Math Biosci. 2007 Nov;210(1):315-34. doi: 10.1016/j.mbs.2007.04.003. Epub 2007 May 4.

Abstract

Macroscopic ion channel current is the summation of the stochastic records of individual channel currents and therefore relates to their statistical properties. As a consequence of this relationship, it may be possible to derive certain statistical properties of single channel records or even generate some estimates of the records themselves from the macroscopic current when the direct measurement of single channel currents is not applicable. We present a procedure for generating the single channel records of an ion channel from its macroscopic current when the stochastic process of channel gating has the following two properties: (I) the open duration is independent of the time of opening event and has a single exponential probability density function (pdf), (II) all the channels have the same probability to open at time t. The application of this procedure is considered for cases where direct measurement of single channel records is difficult or impossible. First, the probability density function (pdf) of opening events, a statistical property of single channel records, is derived from the normalized macroscopic current and mean channel open duration. Second, it is shown that under the conditions (I) and (II), a non-stationary Markov model can represent the stochastic process of channel gating. Third, the non-stationary Markov model is calibrated using the results of the first step. The non-stationary formulation increases the model ability to generate a variety of different single channel records compared to common stationary Markov models. The model is then used to generate single channel records and to obtain other statistical properties of the records. Experimental single channel records of inactivating BK potassium channels are used to evaluate how accurately this procedure reconstructs measured single channel sweeps.

摘要

宏观离子通道电流是各个通道电流随机记录的总和,因此与它们的统计特性相关。由于这种关系,当无法直接测量单通道电流时,有可能从宏观电流中推导出单通道记录的某些统计特性,甚至生成对记录本身的一些估计。当通道门控的随机过程具有以下两个特性时,我们提出了一种从离子通道的宏观电流生成其单通道记录的方法:(I)开放持续时间与开放事件的时间无关,并且具有单个指数概率密度函数(pdf),(II)所有通道在时间t具有相同的开放概率。对于难以或无法直接测量单通道记录的情况,考虑应用此方法。首先,从归一化的宏观电流和平均通道开放持续时间推导出开放事件的概率密度函数(pdf),这是单通道记录的一种统计特性。其次,表明在条件(I)和(II)下,非平稳马尔可夫模型可以表示通道门控的随机过程。第三,使用第一步的结果对非平稳马尔可夫模型进行校准。与常见的平稳马尔可夫模型相比,非平稳公式提高了模型生成各种不同单通道记录的能力。然后使用该模型生成单通道记录并获得记录的其他统计特性。使用失活的BK钾通道的实验单通道记录来评估此过程重建测量的单通道扫描的准确程度。

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Pathways of HERG inactivation.HERG失活的途径。
Am J Physiol. 1999 Jul;277(1):H199-210. doi: 10.1152/ajpheart.1999.277.1.H199.
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Single-channel properties of IKs potassium channels.IKs钾通道的单通道特性
J Gen Physiol. 1998 Dec;112(6):665-78. doi: 10.1085/jgp.112.6.665.

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