Label-Free MicroRNA Diagnostics: From CRISPR Nucleases to Nanomaterial-Enhanced Transducers

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Authors: Luoluo Feng, Peng Yu, Na He, Qingcheng Zhang, Yuqi Tang, Jiayi Geng, Qing Lu, Chi Sung Song, Feng Chen
Cited by: 6
References: 153

Abstract

Label-free detection of microRNAs (miRNAs) has emerged as a pivotal approach in molecular diagnostics, integrating the programmability of CRISPR systems with the high sensitivity of nanomaterial-based transduction. miRNAs are short, noncoding RNAs that play central roles in gene regulation and disease pathogenesis, serving as valuable biomarkers for early diagnosis and prognosis. Conventional miRNA detection methods rely on labeling and multistep amplification, which hinder their adaptability for rapid and point-of-care applications. In contrast, label-free biosensing translates molecular recognition into intrinsic optical, electrochemical, or mechanical signals, enabling real-time, amplification-free analysis. This review summarizes recent advances in label-free miRNA biosensing, with emphasis on CRISPR/Cas12a, Cas13a, and Cas14a systems that couple target recognition with signal transduction, and nanomaterial-assisted platforms including gold and silver nanoparticles, carbon nanotubes, quantum dots, silica nanostructures, and magnetic composites. Particular attention is given to innovations that achieve attomolar-level sensitivity, single-nucleotide discrimination, and multiplex detection. We also discuss integration into microfluidic and wearable platforms, addressing persistent challenges in repeatability and stability, antifouling performance, and clinical translation. Emerging trends in artificial intelligence-assisted data processing, molecular logic circuits, and digital single-molecule biosensing are highlighted. These advances collectively outline the pathway toward intelligent, amplification-free, and portable miRNA diagnostics, bridging molecular biology and synthetic bioengineering for next-generation healthcare applications.

Fields of Study & Subjects

Advanced biosensing and bioanalysis techniques Biosensors and Analytical Detection CRISPR and Genetic Engineering

Publication details

Journal / source
ACS Synthetic Biology
Publisher
American Chemical Society (ACS)
Volume
15
Issue
3
Pages
915–954
Publication date
19 February 2026
Language
EN