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Differences in Gating Dynamics of BK Channels in Cellular and Mitochondrial Membranes from Human Glioblastoma Cells Unraveled by Short- and Long-Range Correlations Analysis
Cells ( IF 5.1 ) Pub Date : 2020-10-15 , DOI: 10.3390/cells9102305
Agata Wawrzkiewicz-Jałowiecka 1 , Paulina Trybek 2 , Przemysław Borys 1 , Beata Dworakowska 3 , Łukasz Machura 4 , Piotr Bednarczyk 3
Affiliation  

The large-conductance voltage- and Ca2+-activated K+ channels (BK) are encoded in humans by the Kcnma1 gene. Nevertheless, BK channel isoforms in different locations can exhibit functional heterogeneity mainly due to the alternative splicing during the Kcnma1 gene transcription. Here, we would like to examine the existence of dynamic diversity of BK channels from the inner mitochondrial and cellular membrane from human glioblastoma (U-87 MG). Not only the standard characteristics of the spontaneous switching between the functional states of the channel is discussed, but we put a special emphasis on the presence and strength of correlations within the signal describing the single-channel activity. The considered short- and long-range memory effects are here analyzed as they can be interpreted in terms of the complexity of the switching mechanism between stable conformational states of the channel. We calculate the dependencies of mean dwell-times of (conducting/non-conducting) states on the duration of the previous state, Hurst exponents by the rescaled range R/S method and detrended fluctuation analysis (DFA), and use the multifractal extension of the DFA (MFDFA) for the series describing single-channel activity. The obtained results unraveled statistically significant diversity in gating machinery between the mitochondrial and cellular BK channels.

中文翻译:


通过短程和长程相关性分析揭示人胶质母细胞瘤细胞细胞膜和线粒体膜中 BK 通道门控动力学的差异



大电导电压和Ca 2 + -活性K +通道 (BK) 在人类中由 Kcnma1 基因编码。然而,不同位置的 BK 通道亚型可能表现出功能异质性,这主要是由于 Kcnma1 基因转录过程中的选择性剪接所致。在这里,我们想要检查来自人胶质母细胞瘤 (U-87 MG) 的线粒体内和细胞膜的 BK 通道的动态多样性是否存在。不仅讨论了通道功能状态之间自发切换的标准特征,而且我们特别强调了描述单通道活动的信号中相关性的存在和强度。这里分析了所考虑的短程和长程记忆效应,因为它们可以根据通道稳定构象状态之间的切换机制的复杂性来解释。我们通过重标度范围 R/S 方法和去趋势波动分析 (DFA) 计算(传导/非传导)状态的平均停留时间对前一状态持续时间、Hurst 指数的依赖性,并使用多重分形扩展用于描述单通道活动的系列的 DFA (MFDFA)。获得的结果揭示了线粒体和细胞 BK 通道之间门控机制的统计显着差异。
更新日期:2020-10-15
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