Breaking the PAM Restriction: A Universal Double Stranded DNA Detection Method Based on the Sticky End-Mediated CRISPR/Cas12a Coupled RPA and Its Application to KRAS G12C Single Base Mutations

The CRISPR/Cas12a system facilitates efficient and specific nucleic acid detection, but its dependence on Protospacer Adjacent Motif (PAM) sequences and the complexity of existing sticky end-based methods pose challenges for stable and portable applications. To address these issues, this study developed a universal dsDNA detection method by integrating the sticky end-mediated CRISPR/Cas12a with recombinase polymerase amplification (RPA). By incorporating NlaIII recognition sites into RPA primers, precise cleavage of amplification products was achieved, generating uniform sticky ends and eliminating reliance on PAM sites. In comparison to flat end dsDNA containing PAM sites, the use of sticky end dsDNA significantly enhanced Cas12a activity. This strategy demonstrated sensitivity and specificity, achieving a detection limit of 40 aM and successfully identifying KRAS G12C mutations at a frequency of 0.1%, with genomic DNA results aligning with those obtained from FastNGS. Furthermore, we preliminarily explored a one-tube detection strategy, which effectively streamlined the operational process and reduced aerosol contamination. In summary, we established a simple, sensitive, and universal PAM-free CRISPR/Cas12a detection platform that integrates the advantages of isothermal amplification with a standardized sticky end design, thereby offering broad application prospects in molecular diagnostics and clinical translation.

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Publication Details

Journal
Analytical Chemistry
Published
2025-11-11
DOI
https://doi.org/10.1021/acs.analchem.5c05908
Citations
2
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
1.61
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article

Breaking the PAM Restriction: A Universal Double Stranded DNA Detection Method Based on the Sticky End-Mediated CRISPR/Cas12a Coupled RPA and Its Application to KRAS G12C Single Base Mutations

Xiaogang Luo, Xinyu He, Danqun Huo, Tao Gu et al.
2 citations
Analytical Chemistry
CRISPR and Genetic Engineering
1.61
article

Breaking the PAM Restriction: A Universal Double Stranded DNA Detection Method Based on the Sticky End-Mediated CRISPR/Cas12a Coupled RPA and Its Application to KRAS G12C Single Base Mutations

Xiaogang Luo, Xinyu He, Danqun Huo, Tao Gu, Liyuan Deng, Changjun Hou, Shuyu Zhu, Shiying Zhou, Xinyao Li
article en
2 citations

Abstract

The CRISPR/Cas12a system facilitates efficient and specific nucleic acid detection, but its dependence on Protospacer Adjacent Motif (PAM) sequences and the complexity of existing sticky end-based methods pose challenges for stable and portable applications. To address these issues, this study developed a universal dsDNA detection method by integrating the sticky end-mediated CRISPR/Cas12a with recombinase polymerase amplification (RPA). By incorporating NlaIII recognition sites into RPA primers, precise cleavage of amplification products was achieved, generating uniform sticky ends and eliminating reliance on PAM sites. In comparison to flat end dsDNA containing PAM sites, the use of sticky end dsDNA significantly enhanced Cas12a activity. This strategy demonstrated sensitivity and specificity, achieving a detection limit of 40 aM and successfully identifying KRAS G12C mutations at a frequency of 0.1%, with genomic DNA results aligning with those obtained from FastNGS. Furthermore, we preliminarily explored a one-tube detection strategy, which effectively streamlined the operational process and reduced aerosol contamination. In summary, we established a simple, sensitive, and universal PAM-free CRISPR/Cas12a detection platform that integrates the advantages of isothermal amplification with a standardized sticky end design, thereby offering broad application prospects in molecular diagnostics and clinical translation.

Analytical ChemistryVol. 97(48)
Chongqing University (CN), Ministry of Education (TH)
Openalex Percentile: Top 14%
CRISPR and Genetic Engineering
1.61
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