Investigations into the Correlation Properties of Membrane Electroporation-Induced Inward Currents: Prediction of Pore Formation

Sheng Nan Wu, Chia Chen Yeh, Pei Yu Wu, Hsien Ching Huang, Mei Ling Tsai

研究成果: Article

8 引文 斯高帕斯(Scopus)

摘要

Membrane electroporation (MEP) induces a drastic change in membrane conductance and permeability. However, the underlying mechanisms by which MEP-induced currents (I MEP) are generated or resealed remain unclear. In this study, we investigated how the fluctuations of I MEP might be elicited in different types of cells, including pituitary GH 3 cells, NG108-15 neuronal cells, and RAW 264.7 macrophages. We applied the detrended fluctuation analysis (DFA) to analyze the current signals in response to large hyperpolarizations. The DFA exponents from the current signals at 10 s preceding the start of the initial I MEP (I Pre) in GH 3 cells exhibited two components (short time lag [α 1] and long time lag [α 2]) with a crossover threshold of about 7 ms. The α 1 value was 0.46 ± 0.04 (n = 7), whereas the α 2 value with 0.62 ± 0.05 (n = 7) indicated the presence of long-term correlations of current signals. However, during maximal I MEP, the slope of double logarithmic plot was linear and estimated to be 0.99 ± 0.02 (n = 8) with no clear crossover. Upon changes in membrane polarization, neither short- nor long-range correlation was altered. Chloroquine (CQ), a lysosomotropic agent, decreased the I MEP amplitude with an IC 50 value of 46 μM; however, it had no effects on the scaling exponents of I Pre or I MEP. Although CQ or membrane polarization altered the amplitudes of I MEP, no changes in correlation properties of this current were detected. The scaling exponents derived from I Pre exhibit long-range correlations in these different types of cells, indicating there is a correlated character of the electropore dynamics that may be allowed to predict the MEP process.

原文English
頁(從 - 到)211-220
頁數10
期刊Cell Biochemistry and Biophysics
62
發行號1
DOIs
出版狀態Published - 2012 一月 1

    指紋

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Biochemistry
  • Cell Biology

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