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Updated: Aug 26, 2025

Field-Deployable Candidatus Liberibacter asiaticus Detection Using Recombinase Polymerase Amplification Combined with CRISPR-Cas12a
Published on: December 23, 2022
CRISPR/Cas9 mediated triple signal amplification platform for high selective and sensitive detection of single base
Mengyang Zhou1, Haoyu Wang1, Chao Li1
1School of Life Sciences, Anhui Medical University, Hefei, Anhui, 230032, PR China.
Abstract:
Single base mutations detection is crucial for the diagnosis and treatment of cancer. However, the current methods with poor selectivity and sensitivity required large instruments, which are difficult to meet clinical demands. Herein, we develop a CRISPR/Cas9 based visual colorimetric platform to specifically detect all single base mutations. In this strategy, the Recombinase Polymerase Amplification (RPA) was firstly used to amplify the target, and introduced the PAM site in the target DNA sequence by designing the point mutation primer, thus achieving detection for all single base mutations by the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9-mediated specific recognition. With the help of CRISPR/Cas9 system, those RPA products can release single strand DNA to hybridize with the padlock probe and trigger rolling circle amplification (RCA). Based on the magnetic separation, HRP-gold nanoparticles complex (hGNPs) and biotin modified probe (Bio-probe) were further used to achieve enhanced visual variations assay by hybridizing with RCA products. Benefiting from the RPA assisted triple signal amplification, this method not only showed enhanced sensitivity with a limit of detection (LOD) as low as 0.2 fM and 0.01% of KRAS-G12D mutation percentage, but the specificity against KRAS-G12D mutation also be synergistically enhanced by combining the CRISPR/Cas9-mediated specific recognition with the specific T4 ligation reaction of RCA system. Furthermore, this system has been successfully used to visually detect genome in serum, suggesting its great potential for point-of-care diagnosis in clinical.
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