4.8 Article

Initiator-catalyzed self-assembly of duplex-looped DNA hairpin motif based on strand displacement reaction for logic operations and amplified biosensing

期刊

BIOSENSORS & BIOELECTRONICS
卷 83, 期 -, 页码 281-286

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.04.059

关键词

Biosensor; Catalytic self-assembly; Keypad lock; Logic gates; Strand displacement

资金

  1. National Natural Science Foundation of China [21375056, 21535002]
  2. Program for New Century Excellent Talents in University of Ministry of Education of China [NCET-12-1024]
  3. Natural Science Foundation of Qingdao [15-9-1-107-jch]
  4. Open Funds of the Shandong Province Key Laboratory of Detection Technology for Tumor Markers [KLDTTM2015-1]

向作者/读者索取更多资源

Here we program an initiator-catalyzed self-assembly of duplex-looped DNA hairpin motif based on strand displacement reaction. Due to the recycling of initiator and performance in a cascade manner, this system is versatilely extended to logic operations, including the construction of concatenated logic circuits with a feedback function and a biocomputing keypad-lock security system. Compared with previously reported molecular security systems, the prominent feature of our keypad lock is that it can be spontaneously reset and recycled with no need of any external stimulus and human intervention. Moreover, through integrating with an isothermal amplification technique of rolling circle amplification (RCA), this programming catalytic DNA self-assembly strategy readily achieves sensitive and selective biosensing of initiator. Importantly, a magnetic graphene oxide (MGO) is introduced to remarkably reduced background, which plays an important role in enhancing the signal-to-noise ratio and improving the detection sensitivity. Therefore, the proposed sophisticated DNA strand displacement-based methodology with engineering dynamic functions may find broad applications in the construction of programming DNA nanostructures, amplification biosensing platform, and large-scale DNA circuits. (C) 2016 Elsevier B.V. All rights reserved.

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