Rapid, multiplex, one-pot CRISPR/Dx system for detecting cancer fusion genes

Jiaqi Li, Cia Hin Lau, Jianchao Wang, Weidong Wu, Zhihao Huang, Xiaoqing Chen, Jiahui Li, Yumei Huang, Tao Wang, Yulin Li, Zihan Zhao, Meijing Xu, Gang Chen, Sheng Tong, Haibao Zhu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Targeted therapies directed at fusion genes have proven remarkably effective against cancers. Therefore, the rapid and reliable identification of cancer fusion genes can guide subsequent therapeutic treatment and predict prognosis. By integrating the RT-RPA and CRISPR/Cas12a approaches, we developed a one-pot CRISPR/Dx system for the rapid and multiplex detection of cancer fusion genes. A tube with unique assemblies was created using 3D printing technology to realize this application. As proof of principle, we demonstrated the feasibility of the one-pot CRISPR/Dx system in detecting lung cancer by targeting ROS1 fusions. The performance of the one-pot CRISPR/Dx detection system was comparable to a two-tube-based testing platform. When tested with synthetic RNA fusions, both approaches efficiently detected all 14 ROS1 fusions with an LOD in the range of 5-10 copies per μL, without generating a background signal, even in the presence of a large excess of wild-type RNA. The total reaction time for both approaches was 30 minutes. Notably, the one-pot CRISPR/Dx detection system minimized the operation steps and aerosol contamination without compromising detection sensitivity and specificity. Furthermore, its diagnostic power was validated using clinical samples. Thus, we successfully developed a rapid, multiplex, one-pot CRISPR/Dx detection system for detecting 14 clinically relevant ROS1 fusions with high sensitivity and specificity. It is also cost-effective and simple to operate, thereby realizing the ultimate goal of establishing CRISPR/Dx as the paragon of cancer diagnostics for home self-testing and point-of-care testing.

Original languageEnglish
Pages (from-to)6304-6316
Number of pages13
JournalAnalytical Methods
Volume17
Issue number31
DOIs
StatePublished - Aug 7 2025

Bibliographical note

Publisher Copyright:
© 2025 The Royal Society of Chemistry.

Funding

This work was supported by Shantou University Research Initiation Fund Project (NTF20030), Guangdong Provincial Natural Science Foundation General Project (2023A1515011906), and Xiamen Municipal Bureau of Science and Technology (QN2023021001L).

FundersFunder number
Shantou UniversityNTF20030
Natural Science Foundation of Guangdong Province2023A1515011906
Xiamen Municipal Bureau of Science and Technology-National Foreign Expert ProgramQN2023021001L

    ASJC Scopus subject areas

    • Analytical Chemistry
    • General Chemical Engineering
    • General Engineering

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