Catalytic hairpin assembly-assisted split-T7 promoter-regulated CRISPR/Cas12a system for the sensitive analysis of microRNAs associated with coronary heart disease

Abstract

MicroRNAs (miRNAs) have emerged as promising non-invasive biomarkers for coronary heart disease (CHD); however, their accurate quantification remains challenging due to their short length, low abundance, and high sequence homology. Herein, we report a highly sensitive and specific biosensing platform by integrating catalytic hairpin assembly (CHA) with a split-T7 promoter-regulated CRISPR/Cas12a system. The key innovation lies in the split-T7 promoter architecture, which enables target-responsive reconstitution of a functional T7 promoter, driving robust in vitro transcription to generate abundant crRNA transcripts eliminating the need for pre-synthesized exogenous crRNA. This strategy achieves triple cascade amplification through three synergistic modules: CHA-mediated target recycling ensures efficient signal initiation; split-T7 promoter-driven transcription provides substantial signal enrichment; and CRISPR/Cas12a-based trans-cleavage delivers highly specific fluorescence readout. By eliminating pre-synthesized crRNA, the platform significantly reduces assay cost and complexity while maintaining excellent amplification efficiency. The method achieves a limit of detection as low as 38.9 aM for miRNA-155 within 90 min, exhibits single-base mismatch discrimination capability, and performs reliably in clinical specimens from CHD patients. With its modular design and robust performance, this cascade amplification platform offers a versatile and cost-effective tool for miRNA analysis, holding great promise for cardiovascular disease diagnosis and broader molecular diagnostics.

Supplementary files

Article information

Article type
Paper
Submitted
24 Mar 2026
Accepted
30 Mar 2026
First published
06 Apr 2026

Anal. Methods, 2026, Accepted Manuscript

Catalytic hairpin assembly-assisted split-T7 promoter-regulated CRISPR/Cas12a system for the sensitive analysis of microRNAs associated with coronary heart disease

X. Zhang, X. Nie, W. Yu, G. Du, S. Liu and Y. Song, Anal. Methods, 2026, Accepted Manuscript , DOI: 10.1039/D6AY00524A

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