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自动平行记录拓扑识别的单离子通道。

Automated parallel recordings of topologically identified single ion channels.

机构信息

BioMicrosystems Project, Kanagawa Academy of Science and Technology (KAST), Kawasaki, Japan.

出版信息

Sci Rep. 2013;3:1995. doi: 10.1038/srep01995.

Abstract

Although ion channels are attractive targets for drug discovery, the systematic screening of ion channel-targeted drugs remains challenging. To facilitate automated single ion-channel recordings for the analysis of drug interactions with the intra- and extracellular domain, we have developed a parallel recording methodology using artificial cell membranes. The use of stable lipid bilayer formation in droplet chamber arrays facilitated automated, parallel, single-channel recording from reconstituted native and mutated ion channels. Using this system, several types of ion channels, including mutated forms, were characterised by determining the protein orientation. In addition, we provide evidence that both intra- and extracellular amyloid-beta fragments directly inhibit the channel open probability of the hBK channel. This automated methodology provides a high-throughput drug screening system for the targeting of ion channels and a data-intensive analysis technique for studying ion channel gating mechanisms.

摘要

尽管离子通道是药物发现的有吸引力的靶点,但系统地筛选针对离子通道的药物仍然具有挑战性。为了促进针对离子通道的药物与细胞内外域相互作用的自动单离子通道记录,我们使用人工细胞膜开发了一种并行记录方法。在液滴室阵列中使用稳定的脂质双层形成促进了重组天然和突变离子通道的自动、并行、单通道记录。使用该系统,通过确定蛋白质取向,可以对包括突变形式在内的几种类型的离子通道进行表征。此外,我们提供的证据表明,细胞内和细胞外的淀粉样β片段直接抑制 hBK 通道的通道开放概率。这种自动化方法为靶向离子通道提供了高通量药物筛选系统,并且为研究离子通道门控机制提供了数据密集型分析技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e89/3683667/64c472c02125/srep01995-f1.jpg

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