Suppr超能文献

克隆垂体细胞中的钙激活和电压依赖性钾电导。

Calcium-activated and voltage-dependent potassium conductances in clonal pituitary cells.

作者信息

Dufy B, Barker J L

出版信息

Life Sci. 1982 May 31;30(22):1933-41. doi: 10.1016/0024-3205(82)90475-1.

Abstract

Voltage clamp recordings of GH3/B6 pituitary cells reveal the presence of non linear steady state membrane properties at the level of the resting potential (about -41 mV). Clamping the cells to potentials more depolarized than -60 mV is associated with a potential dependent increase in membrane conductance and membrane current variance. Tetra-ethylammonium (TEA), Cobalt (Co2+) and methoxy-verapamil (D-600) each attenuate these potential-dependent changes. Spectral analysis of membrane current fluctuations shows that power spectral densities calculated for fluctuations occuring over the -70 to -40 mV range decline monotonically as a function of frequency, while spectra derived from fluctuations obtained over the -20 mV to 0 mV range decline as the square of frequency and are usually well fitted by a single Lorentzian equation. The half-power frequency of these spectra varies from 45 to 65 Hz. If we assume that the activities of two-state (open-closed) ion channels underlie the electrical behaviour of the membrane at the resting potential and at more depolarized levels, then the results suggest the presence of K+ ion channels whose activation depends both on potential and Ca2+ ions. These K+ ion channels have estimated electrical properties (conductance : 15 ps ; duration : 3 msec) similar to those present in other excitable membranes.

摘要

对GH3/B6垂体细胞进行电压钳记录发现,在静息电位水平(约-41 mV)存在非线性稳态膜特性。将细胞钳制在比-60 mV更正的电位时,膜电导和膜电流方差会随电位依赖性增加。四乙铵(TEA)、钴(Co2+)和甲氧基维拉帕米(D-600)均可减弱这些电位依赖性变化。膜电流波动的频谱分析表明,在-70至-40 mV范围内计算的波动功率谱密度随频率单调下降,而在-20 mV至0 mV范围内获得的波动频谱则随频率的平方下降,并且通常可以用单个洛伦兹方程很好地拟合。这些频谱的半功率频率在45至65 Hz之间变化。如果我们假设两态(开放-关闭)离子通道的活动是膜在静息电位和更去极化水平时电行为的基础,那么结果表明存在K+离子通道,其激活既依赖于电位也依赖于Ca2+离子。这些K+离子通道的估计电学特性(电导:15 ps;持续时间:3毫秒)与其他可兴奋膜中存在的特性相似。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验