Split DNA Tetrahedron-Mediated Spatiotemporal-Hierarchy CRISPR Cascade Integrated with Au@Pt Nanolabels and Artificial Intelligence for a Cervical Cancer MicroRNA Bioassay

The screening and monitoring of microRNAs as cancer molecular biomarkers is clinically significant, but traditional methods lack sufficient sensitivity, accuracy, and convenience. The CRISPR-colorimetric lateral flow assay (CLFA) integration offers a promising and efficient solution; however, cumbersome preamplification and poor quantification hinder clinical adoption. In this study, we developed a one-step isothermal CRISPR-Cas cascaded sensing system that is preamplification-free. At its core is a designed and selected split DNA tetrahedron activator, employing spatiotemporal-hierarchy mechanisms to precisely bidirectionally drive the kinetics of two Cas enzymes, accelerating the activation of Cas13a while delaying the initiation of Cas12a, to achieve optimal balance. This system enables ultrasensitive, single-step, single-tube, and rapid detection of a cervical cancer relative biomarker, microRNA-21, achieving a limit of detection of 38 aM with a broad linear range. The CRISPR system is further integrated with CLFA enhanced by ultrathin platinum-protected gold nanolabels (Au@Pt, also named Au@s-Pt), along with a smartphone equipped with dual convolutional neural network models (YOLO v5 and MobileNet v3), enabling more precise, rapid quantification of target miRNA. Using this integrated platform, miRNA-21 levels in cervical cancer and precancerous samples can be accurately quantified with approximately 30 min at low cost and without the need for large, sophisticated instruments, with results showing good concordance with quantitative real-time polymerase chain reaction. This platform provides an efficient, highly sensitive, user-friendly, and quantifiable point-of-care testing solution.

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Publication Details

Journal
ACS Nano
Published
2025-06-11
DOI
https://doi.org/10.1021/acsnano.5c01376
Citations
10
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
8.06

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article

Split DNA Tetrahedron-Mediated Spatiotemporal-Hierarchy CRISPR Cascade Integrated with Au@Pt Nanolabels and Artificial Intelligence for a Cervical Cancer MicroRNA Bioassay

Xiaoqin Hu, Yujia Jiang, Yao Wu, Fang Lan et al.
10 citations
ACS Nano
Advanced biosensing and bioanalysis techniques
8.06
article

Split DNA Tetrahedron-Mediated Spatiotemporal-Hierarchy CRISPR Cascade Integrated with Au@Pt Nanolabels and Artificial Intelligence for a Cervical Cancer MicroRNA Bioassay

Xiaoqin Hu, Yujia Jiang, Yao Wu, Fang Lan, Binwu Ying, Zhiyu Li, Xiaohui Zhan
article en
10 citations

Abstract

The screening and monitoring of microRNAs as cancer molecular biomarkers is clinically significant, but traditional methods lack sufficient sensitivity, accuracy, and convenience. The CRISPR-colorimetric lateral flow assay (CLFA) integration offers a promising and efficient solution; however, cumbersome preamplification and poor quantification hinder clinical adoption. In this study, we developed a one-step isothermal CRISPR-Cas cascaded sensing system that is preamplification-free. At its core is a designed and selected split DNA tetrahedron activator, employing spatiotemporal-hierarchy mechanisms to precisely bidirectionally drive the kinetics of two Cas enzymes, accelerating the activation of Cas13a while delaying the initiation of Cas12a, to achieve optimal balance. This system enables ultrasensitive, single-step, single-tube, and rapid detection of a cervical cancer relative biomarker, microRNA-21, achieving a limit of detection of 38 aM with a broad linear range. The CRISPR system is further integrated with CLFA enhanced by ultrathin platinum-protected gold nanolabels (Au@Pt, also named Au@s-Pt), along with a smartphone equipped with dual convolutional neural network models (YOLO v5 and MobileNet v3), enabling more precise, rapid quantification of target miRNA. Using this integrated platform, miRNA-21 levels in cervical cancer and precancerous samples can be accurately quantified with approximately 30 min at low cost and without the need for large, sophisticated instruments, with results showing good concordance with quantitative real-time polymerase chain reaction. This platform provides an efficient, highly sensitive, user-friendly, and quantifiable point-of-care testing solution.

ACS NanoVol. 19(25)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, National Key Research and Development Program of China
Openalex Percentile: Top 2%
Advanced biosensing and bioanalysis techniques
8.06
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