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在脂质双层中构建气溶素纳米孔用于单寡核苷酸分析。

Construction of an aerolysin nanopore in a lipid bilayer for single-oligonucleotide analysis.

机构信息

Key Laboratory for Advanced Materials, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, China.

出版信息

Nat Protoc. 2017 Sep;12(9):1901-1911. doi: 10.1038/nprot.2017.077. Epub 2017 Aug 24.

Abstract

Nanopore techniques offer the possibility to study biomolecules at the single-molecule level in a low-cost, label-free and high-throughput manner. By analyzing the level, duration and frequency of ionic current blockades, information regarding the structural conformation, mass, length and concentration of single molecules can be obtained in physiological conditions. Aerolysin monomers assemble into small pores that provide a confined space for effective electrochemical control of a single molecule interacting with the pore, which significantly improves the temporal resolution of this technique. In comparison with other reported protein nanopores, aerolysin maintains its functional stability in a wide range of pH conditions, which allows for the direct discrimination of oligonucleotides between 2 and 10 nt in length and the monitoring of the stepwise cleavage of oligonucleotides by exonuclease I (Exo I) in real time. This protocol describes the process of activating proaerolysin using immobilized trypsin to obtain the aerolysin monomer, the construction of a lipid membrane and the insertion of an individual aerolysin nanopore into this membrane. A step-by-step description is provided of how to perform single-oligonucleotide analyses and how to process the acquired data. The total time required for this protocol is ∼3 d.

摘要

纳米孔技术提供了一种在低成本、无标记和高通量的条件下,在单分子水平上研究生物分子的可能性。通过分析离子电流阻断的水平、持续时间和频率,可以在生理条件下获得关于单分子结构构象、质量、长度和浓度的信息。气溶素单体组装成小孔,为与孔相互作用的单个分子的有效电化学控制提供了一个受限空间,这显著提高了该技术的时间分辨率。与其他报道的蛋白质纳米孔相比,气溶素在很宽的 pH 条件下保持其功能稳定性,这允许直接区分长度在 2 到 10 个核苷酸之间的寡核苷酸,并实时监测外切核酸酶 I(Exo I)对寡核苷酸的逐步切割。本方案描述了使用固定化胰蛋白酶激活原气溶素以获得气溶素单体、构建脂质膜以及将单个气溶素纳米孔插入该膜中的过程。逐步描述了如何进行单寡核苷酸分析以及如何处理获得的数据。本方案总共需要 3 天左右的时间。

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