化学
自催化
堆积
自催化反应
环介导等温扩增
DNA
生物分子
催化作用
反应条件
信号(编程语言)
纳米技术
组合化学
生物系统
生物化学
计算机科学
有机化学
物理
材料科学
统计物理学
生物
程序设计语言
作者
Ruomeng Li,Yuxuan Zhu,Xue Gong,Yanping Zhang,Hong Chen,Yeqing Wan,Xiaoqing Liu,Fuan Wang
摘要
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.
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