Quantifying short-lived events in multistate ionic current measurements.
Quantifying short-lived events in multistate ionic current measurements.
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DOI：
10.1021/nn405761y
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发表时间：
2014-02-25
期刊：
影响因子：
17.1
通讯作者：
Vaz C
中科院分区：
文献类型：
--
作者：
Balijepalli A;Ettedgui J;Cornio AT;Robertson JW;Cheung KP;Kasianowicz JJ;Vaz C
我们开发了一种通用的技术，通过单通道离子电流测量来表征聚合物-纳米孔相互作用。分析物（例如DNA、蛋白质或合成聚合物）与纳米孔之间的物理相互作用导致电流中的多个离散状态。我们用等效电路模拟了电流到各个状态的转换，这使我们能够描述系统响应。这使得能够估计目前没有被现有的分析技术表征的短暂状态。我们的方法大大提高了纳米孔单分子表征的范围和分辨率。例如，我们表征了合成聚合物的停留时间，其比现有算法估计的停留时间短三倍。由于分子的停留时间遵循指数分布，因此我们在每单位时间内恢复了近20倍的可用于分析的事件。此外，测量范围从11个单体扩展到少至8个。最后，我们应用这种技术来恢复一个已知的单链DNA序列，从以前发表的离子通道记录，确定离散的电流状态与亚皮安分辨率。
We developed a generalized technique to characterize polymer–nanopore interactions via single channel ionic current measurements. Physical interactions between analytes, such as DNA, proteins, or synthetic polymers, and a nanopore cause multiple discrete states in the current. We modeled the transitions of the current to individual states with an equivalent electrical circuit, which allowed us to describe the system response. This enabled the estimation of short-lived states that are presently not characterized by existing analysis techniques. Our approach considerably improves the range and resolution of single-molecule characterization with nanopores. For example, we characterized the residence times of synthetic polymers that are three times shorter than those estimated with existing algorithms. Because the molecule’s residence time follows an exponential distribution, we recover nearly 20-fold more events per unit time that can be used for analysis. Furthermore, the measurement range was extended from 11 monomers to as few as 8. Finally, we applied this technique to recover a known sequence of single-stranded DNA from previously published ion channel recordings, identifying discrete current states with subpicoampere resolution.
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影响因子：
10.8
作者：
Krems M;Pershin YV;Di Ventra M
通讯作者：
Di Ventra M
影响因子：
3.8
作者：
EISENBERG, RS;GAGE, PW
通讯作者：
GAGE, PW
DOI：
10.1073/pnas.93.24.13770
发表时间：
1996-11-26
影响因子：
11.1
作者：
Kasianowicz, JJ;Brandin, E;Deamer, DW
通讯作者：
Deamer, DW
影响因子：
2.4
作者：
MENESTRINA, G
通讯作者：
MENESTRINA, G
影响因子：
3.4
作者：
MAGLEBY, KL;WEISS, DS
通讯作者：
WEISS, DS