Simple yet Sensitive MicroRNA Detection Using Allosteric Probe-Initiated Triple Amplification and Cas13a/crRNA-Based Amplification Reaction

Abstract

MicroRNAs (miRNAs) have emerged as promising biomarkers for early diagnosis and management of degenerative disc disease (DDD); however, their low abundance and high sequence homology pose significant challenges for clinical detection. Herein, we develop a novel, highly sensitive miRNA detection platform by integrating an allosteric probe-initiated triple-cycle amplification strategy with the CRISPR-Cas13a/crRNA system. The designed allosteric probe undergoes a conformational switch upon target miRNA binding, triggering successive enzymatic amplification steps, including polymerase-mediated extension, nicking enzyme-driven recycling, and T7 RNA transcription, to generate numerous single-stranded RNA activators. These activators specifically recruit the Cas13a/crRNA complex, unleashing its collateral cleavage activity to degrade reporter RNAs and produce amplified fluorescence signals. This method demonstrates a wide dynamic range from 1 fM to 100 pM and achieves an ultra-low detection limit of 548 aM. Notably, the approach exhibits excellent specificity, distinguishing target miRNA-155 from closely related variants and non-target miRNAs. Its operational simplicity, rapid turnaround (60 min), and robustness in serum samples highlight strong potential for clinical translation. By combining catalytic allosteric probing with CRISPR-based signal amplification, this work provides a versatile and powerful tool for miRNA quantification, paving the way for early, minimally invasive diagnosis of degenerative disc diseases and other miRNA-associated pathologies.

Supplementary files

Article information

Article type
Paper
Submitted
31 Mar 2026
Accepted
06 May 2026
First published
06 May 2026

Anal. Methods, 2026, Accepted Manuscript

Simple yet Sensitive MicroRNA Detection Using Allosteric Probe-Initiated Triple Amplification and Cas13a/crRNA-Based Amplification Reaction

H. Chen and C. Zhang, Anal. Methods, 2026, Accepted Manuscript , DOI: 10.1039/D6AY00578K

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