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具有最小催化DNA组装的自堆叠自催化分子电路。

Self-Stacking Autocatalytic Molecular Circuit with Minimal Catalytic DNA Assembly.

作者信息

Li Ruomeng, Zhu Yuxuan, Gong Xue, Zhang Yanping, Hong Chen, Wan Yeqing, Liu Xiaoqing, Wang Fuan

机构信息

College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China.

Research Institute of Shenzhen, Wuhan University, Shenzhen 518057, P. R. China.

出版信息

J Am Chem Soc. 2023 Feb 8;145(5):2999-3007. doi: 10.1021/jacs.2c11504. Epub 2023 Jan 26.

Abstract

Isothermal autocatalytic DNA circuits have been proven to be versatile and powerful biocomputing platforms by virtue of their self-sustainable and self-accelerating reaction profiles, yet they are currently constrained by their complicated designs, severe signal leakages, and unclear reaction mechanisms. Herein, we developed a simpler-yet-efficient autocatalytic assembly circuit (AAC) for highly robust bioimaging in live cells and mice. The scalable and sustainable AAC system was composed of a mere catalytic DNA assembly reaction with minimal strand complexity and, upon specific stimulation, could reproduce numerous new triggers to expedite the whole reaction. Through in-depth theoretical simulations and systematic experimental demonstrations, the catalytic efficiency of these reproduced triggers was found to play a vital role in the autocatalytic profile and thus could be facilely improved to achieve more efficient and characteristic autocatalytic signal amplification. Due to its exponentially high signal amplification and minimal reaction components, our self-stacking AAC facilitated the efficient detection of trace biomolecules with low signal leakage, thus providing great clinical diagnosis and therapeutic assessment potential.

摘要

等温自催化DNA电路凭借其自我维持和自我加速的反应特性,已被证明是通用且强大的生物计算平台,但目前它们受到设计复杂、严重信号泄漏和反应机制不明的限制。在此,我们开发了一种更简单但高效的自催化组装电路(AAC),用于活细胞和小鼠体内的高稳健生物成像。可扩展且可持续的AAC系统仅由一个具有最小链复杂性的催化DNA组装反应组成,在特定刺激下,它可以产生大量新的触发因素来加速整个反应。通过深入的理论模拟和系统的实验证明,发现这些产生的触发因素的催化效率在自催化过程中起着至关重要的作用,因此可以很容易地提高以实现更高效和具有特征性的自催化信号放大。由于其指数级的高信号放大和最少的反应成分,我们的自堆叠AAC有助于高效检测痕量生物分子,信号泄漏低,从而具有巨大的临床诊断和治疗评估潜力。

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