Nadeau H, Lester H A
Division of Biology, California Institute of Technology, 1200 E. California Blvd., 91125, Pasadena, CA, USA.
J Neurosci Methods. 2000 Jun 30;99(1-2):25-35. doi: 10.1016/s0165-0270(00)00210-7.
Recording and analysis of neuronal patch-clamp data involve many assumptions about membrane properties and cell morphology. Some of these assumptions introduce large errors or oversimplifications into the results. In particular, dendritic branching with high intracellular resistance leads to difficulty with capacitance calculation and transient subtraction, and may significantly distort measured currents. A two-compartment model, presented in detail here, provides a simple method of reducing many of these problems for the relatively simple case of cultured neurons studied with whole-cell patch electrodes. Some passive membrane properties may be accurately calculated, and the results may be used to correct recorded currents for resulting series resistance, intracellular resistance, and capacitive transient errors. The model may be tailored to particular cell types or experimental conditions. Programs to implement the algorithms are available from http://www.its.caltech.edu/ approximately nadeau/Rscomp.html.
神经元膜片钳数据的记录与分析涉及许多关于膜特性和细胞形态的假设。其中一些假设会给结果带来较大误差或过度简化。特别是,具有高细胞内电阻的树突分支会导致电容计算和瞬态扣除困难,并可能显著扭曲测量电流。本文详细介绍的双室模型,为使用全细胞膜片电极研究的培养神经元这种相对简单的情况,提供了一种减少许多此类问题的简单方法。一些被动膜特性可以准确计算,结果可用于校正记录电流中因串联电阻、细胞内电阻和电容瞬态误差而产生的影响。该模型可针对特定细胞类型或实验条件进行定制。实现这些算法的程序可从http://www.its.caltech.edu/ approximately nadeau/Rscomp.html获取。