Self-Stacking Autocatalytic Molecular Circuit with Minimal Catalytic DNA Assembly

Ruomeng Li(Wuhan University), Yuxuan Zhu(Wuhan University), Xue Gong(Wuhan University), Yanping Zhang(Wuhan University), Hong Chen(Wuhan University), Yeqing Wan(Wuhan University), Xiaoqing Liu(Wuhan University), Fuan Wang(Wuhan University)
Journal of the American Chemical Society
January 26, 2023
Cited by 128

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.


Related Papers

No related papers found

Powered by citation graph analysis