PAM-free activation of CRISPR/Cas12a <i>via</i> semi-nested asymmetric RPA: highly specific detection of HPV16 dsDNA
Early and accurate detection of HPV16 nucleic acids is therefore critical for the effective screening, diagnosis, and prevention of cervical cancer. Although CRISPR/Cas12a-based molecular diagnostics offer a rapid and sensitive approach for HPV16 detection, their application to double-stranded DNA (dsDNA) targets remains constrained by two major limitations: the strict requirement for a protospacer adjacent motif (PAM) site and the insufficient specificity of current amplification strategies, which can lead to off-target amplification and false-positive results. To address these challenges, we developed a semi-nested asymmetric recombinase polymerase amplification (SNA-RPA) method combined with CRISPR/Cas12a for the detection of HPV16 dsDNA. This strategy employs a semi-nested primer design to significantly enhance target sequence specificity during amplification, while asymmetric primer ratios promote the efficient generation of single-stranded DNA (ssDNA) that directly activates Cas12a without the need for a PAM site. Using this approach, we achieved rapid and highly specific detection of HPV16 dsDNA, with a limit of detection as low as 18 aM. Beyond achieving PAM-free detection, our method also substantially improves amplification fidelity, offering a promising solution for precise and reliable HPV diagnostics and cervical cancer screening.
Authors
- Xuheng Li
- Tao Gu (ORCID: https://orcid.org/0000-0002-6818-3355)
- Changjun Hou (ORCID: https://orcid.org/0000-0002-3608-116X)
- Shuyu Zhu (ORCID: https://orcid.org/0000-0002-3791-8400)
- Fei‐Yan Deng (ORCID: https://orcid.org/0000-0001-7553-5358)
- Liyuan Deng (ORCID: https://orcid.org/0009-0006-9558-8047)
- Jiangbo Dong
- Danqun Huo
- Xiangyu Zou (ORCID: https://orcid.org/0000-0002-8420-2077)
Institutions
- Chongqing University (CN)
- UNSW Sydney (AU)
- Ministry of Education (TH)
- Chongqing University of Technology (CN)
Publication Details
- Journal
- The Analyst
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5an00491h
- Citations
- 1
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.81