Split G-Quadruplex-Integrated CRISPR-Cas Biosensor for One-Pot, Signal-On Visual Detection of Pathogen Nucleic Acids

Pathogen nucleic acid analysis has emerged as an indispensable component of contemporary healthcare systems, serving dual roles in personalized clinical management and population-level disease surveillance. Herein, we present a novel G-quadruplex-integrated CRISPR-Cas biosensing platform that performs in a signal-on mechanism for colorimetric detection of pathogen nucleic acids in one-pot. By harnessing the unique properties of split G4 structures, we develop a universal visual probe that generates a distinct green colorimetric signal upon target recognition, which effectively couples with both Cas12 and Cas13 systems. Using the monkeypox virus (MPXV) B7R gene and a conserved respiratory syncytial virus (RSV) sequence as model targets for Cas12a and Cas13, respectively, we establish a detection workflow combining recombinase polymerase amplification (RPA) with CRISPR-mediated cleavage, visualized through enzymatic mediated color conversion. The tube-in-tube cartridge architecture adopted in this work enables seamless integration of RPA and CRISPR-based detection within a single closed-tube system, effectively eliminating cross-contamination risks. We successfully validate the platform for detection of MPXV in environmental samples and RSV in clinical specimens, achieving a detection limit of 1 copy per test and perfect concordance with PCR methods (40/40 agreement). The colorimetric biosensing platform developed herein demonstrates rapid (<60 min) and facial performance, establishing a novel molecular diagnostic paradigm that achieves laboratory-comparable accuracy for real-time surveillance and point-of-care applications.

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Publication Details

Journal
Analytical Chemistry
Published
2025-06-17
DOI
https://doi.org/10.1021/acs.analchem.5c02037
Citations
9
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
7.25

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article

Split G-Quadruplex-Integrated CRISPR-Cas Biosensor for One-Pot, Signal-On Visual Detection of Pathogen Nucleic Acids

Ruoxuan Li, Guangbo Qu, Yanyan Yu, Dawei Jiang et al.
9 citations
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
7.25
article

Split G-Quadruplex-Integrated CRISPR-Cas Biosensor for One-Pot, Signal-On Visual Detection of Pathogen Nucleic Acids

Ruoxuan Li, Guangbo Qu, Yanyan Yu, Dawei Jiang, Gaoxing Su, Ren Cai, Yan Zhang, Yanan Lin
article en
9 citations

Abstract

Pathogen nucleic acid analysis has emerged as an indispensable component of contemporary healthcare systems, serving dual roles in personalized clinical management and population-level disease surveillance. Herein, we present a novel G-quadruplex-integrated CRISPR-Cas biosensing platform that performs in a signal-on mechanism for colorimetric detection of pathogen nucleic acids in one-pot. By harnessing the unique properties of split G4 structures, we develop a universal visual probe that generates a distinct green colorimetric signal upon target recognition, which effectively couples with both Cas12 and Cas13 systems. Using the monkeypox virus (MPXV) B7R gene and a conserved respiratory syncytial virus (RSV) sequence as model targets for Cas12a and Cas13, respectively, we establish a detection workflow combining recombinase polymerase amplification (RPA) with CRISPR-mediated cleavage, visualized through enzymatic mediated color conversion. The tube-in-tube cartridge architecture adopted in this work enables seamless integration of RPA and CRISPR-based detection within a single closed-tube system, effectively eliminating cross-contamination risks. We successfully validate the platform for detection of MPXV in environmental samples and RSV in clinical specimens, achieving a detection limit of 1 copy per test and perfect concordance with PCR methods (40/40 agreement). The colorimetric biosensing platform developed herein demonstrates rapid (<60 min) and facial performance, establishing a novel molecular diagnostic paradigm that achieves laboratory-comparable accuracy for real-time surveillance and point-of-care applications.

Analytical ChemistryVol. 97(25)
Chinese Academy of Sciences (CN), Nantong University (CN), Institute for Advanced Study (DE), Research Center for Eco-Environmental Sciences (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 3%
Advanced biosensing and bioanalysis techniques
7.25
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