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Updated: Aug 8, 2026

Parallel High Throughput Single Molecule Kinetic Assay for Site-Specific DNA Cleavage
Published on: May 6, 2020
Efficient Entropy-Driven Cross-Double-Loop Reaction Cascade Asymmetric CRISPR/Cas12a Cleavage for Ultrasensitive
Xudong Zhou1, Rui Zhang1, Luguang Cai1
1Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, P.R. China.
None:
The limited signal amplification efficiency of the conventional CRISPR/Cas12a-cleavage system was primarily due to the structural constraints of crRNA and single-trigger activation. Herein, an efficient target-induced entropy-driven cross-double-loop strand displacement reaction (SDR) cascade asymmetric CRISPR/Cas12a cleavage was developed to construct an ultrasensitive and reliable signal-off electrochemical biosensor. The desirable entropy-driven modulation could spontaneously undergo a cross-double-loop reaction that possessed self-accelerating ability, effectively improving the rate of chain replacement and avoiding the usage of extra fuel chains with generation of two abundant distinct DNA outputs, significantly improving target conversion efficiency. More importantly, all the targets and two distinct DNA outputs could simultaneously act as activators in the asymmetric CRISPR/Cas12a system, which cooperatively bound to both split and full-sized crRNAs to accomplish the highly efficient discharge of ferrocene-labeled single-stranded DNA (Fc-reporter) on the electrode, thereby markedly improving the detection sensitivity and reliably compared to that of traditional ones. The experimental results suggested that the proposed biosensor had a wide linear range spanning from 1 fM to1 nM with a detection limit as low as 0.23 fM. By integrating entropy-driven amplification with CRISPR-enhanced signal transduction, this work established a versatile and robust analytical tool for early cancer diagnosis and precision biomolecular detection.
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