MOSAIC: A Modular Single-Molecule Analysis Interface for Decoding Multistate Nanopore Data.
MOSAIC: A Modular Single-Molecule Analysis Interface for Decoding Multistate Nanopore Data.
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马赛克：用于解码多型纳米孔数据的模块化单分子分析界面。
DOI：
10.1021/acs.analchem.6b03725
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发表时间：
2016-12-06
影响因子：
7.4
通讯作者：
Balijepalli A
中科院分区：
文献类型：
--
作者：
Forstater JH;Briggs K;Robertson JW;Ettedgui J;Marie-Rose O;Vaz C;Kasianowicz JJ;Tabard-Cossa V;Balijepalli A
生物和固态纳米级孔隙是用于精准医学的众多新兴分析技术的基础。我们开发了模块化单分子分析接口 (MOSAIC)，这是一种开源分析软件，可提高基于纳米孔的测量的准确性和通量。实现了两个关键算法：ADEPT（使用纳米孔系统的物理模型来表征未达到稳态电流的短期事件）和 CUSUM+（针对达到稳态电流的较长事件进行优化的累积和统计方法的版本）。我们表明，ADEPT 可以检测到双链 DNA 通过 2.4 nm 固态纳米孔易位时发生的先前未报道的电导状态，并揭示短单链 DNA 与生物孔前庭之间的新相互作用。这些发现证明了 MOSAIC 和 ADEPT 算法的实用性，并提供了一种可以改进基于纳米孔的测量分析的新工具。
Biological and solid-state nanometer-scale pores are the basis for numerous emerging analytical technologies for use in precision medicine. We developed Modular Single-Molecule Analysis Interface (MOSAIC), an open source analysis software that improves the accuracy and throughput of nanopore-based measurements. Two key algorithms are implemented: ADEPT, which uses a physical model of the nanopore system to characterize short-lived events that do not reach their steady-state current, and CUSUM+, a version of the cumulative sum statistical method optimized for longer events that do. We show that ADEPT detects previously unreported conductance states that occur as double-stranded DNA translocates through a 2.4 nm solid-state nanopore and reveals new interactions between short single-stranded DNA and the vestibule of a biological pore. These findings demonstrate the utility of MOSAIC and the ADEPT algorithm, and offer a new tool that can improve the analysis of nanopore-based measurements.
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影响因子：
3.4
作者：
Butler, TZ;Gundlach, JH;Troll, MA
通讯作者：
Troll, MA
影响因子：
17.1
作者：
Farimani, Amir Barati;Min, Kyoungmin;Aluru, Narayana R.
通讯作者：
Aluru, Narayana R.
影响因子：
8.6
作者：
Henrickson, SE;Misakian, M;Kasianowicz, JJ
通讯作者：
Kasianowicz, JJ
影响因子：
15
作者：
Ettedgui, Jessica;Kasianowicz, John J.;Balijepalli, Arvind
通讯作者：
Balijepalli, Arvind
影响因子：
56.9
作者：
Cluzel, P;Lebrun, A;Caron, F
通讯作者：
Caron, F