中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Rapid discrimination of DNA sequences using an engineered nanopore

文献类型:会议论文

作者Ying, Cuifeng1,3; Feng, Yanxiao1; Wang, Deqiang1; Guan, Xiyun2; Zhou, Wenyuan3; Tian, Jianguo3; Zhang, Yuechuan4
出版日期2015
会议日期October 5, 2015 - October 9, 2015
会议地点Changchun, China
DOI10.1109/3M-NANO.2015.7425464
页码272-277
英文摘要Nanopores have been used for the development of biosensors for various substances and are currently under intense investigation as a potential tool for the entire genome sequencing. It has been demonstrated that an α-hemolysin protein pore covalently attached with a β-cyclodextrin adapter can differentiate single bases[1]; furthermore, single base discrimination could be achieved when a single-stranded DNA (ssDNA) is immobilized in the α-hemolysin pore[2]. Here, we show that when an unlabelled/unmodified double-stranded DNA (dsDNA) translocates through a properly engineered α-hemolysinnanopore, a sequence of sub-state blockage events is observed. Since different sequences of sub-state modulation events are produced by different DNA strands, they offer the potential as characteristic fingerprints to identify and discriminate the precise sequences of dsDNA samples. © 2015 IEEE.
会议录5th International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2015
语种英语
源URL[http://119.78.100.138/handle/2HOD01W0/4818]  
专题精准医疗单分子诊断技术研究中心
作者单位1.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China;
2.Department of Biological and Chemical Sciences, Illinois Institute of Technology, Chicago, United States;
3.Key Laboratory of Weak-Light Nonlinear Photonics, Ministry of Education, School of Physics, Nankai University, Tianjin, China;
4.University of Electronic Science and Technology of China, Chengdu, China
推荐引用方式
GB/T 7714
Ying, Cuifeng,Feng, Yanxiao,Wang, Deqiang,et al. Rapid discrimination of DNA sequences using an engineered nanopore[C]. 见:. Changchun, China. October 5, 2015 - October 9, 2015.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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