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.
Authors
- Ruoxuan Li (ORCID: https://orcid.org/0000-0001-6095-7945)
- Guangbo Qu (ORCID: https://orcid.org/0000-0002-5220-7009)
- Yanyan Yu (ORCID: https://orcid.org/0000-0002-5806-0896)
- Dawei Jiang (ORCID: https://orcid.org/0000-0002-4072-0075)
- Gaoxing Su (ORCID: https://orcid.org/0000-0001-9607-2006)
- Ren Cai (ORCID: https://orcid.org/0000-0002-6025-0170)
- Yan Zhang (ORCID: https://orcid.org/0000-0003-3079-9960)
- Yanan Lin
Institutions
- 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)
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
Funders
- National Key Research and Development Program of China