Journal
CHEMICAL COMMUNICATIONS
Volume 58, Issue 55, Pages 7618-7621Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d2cc02660k
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Funding
- National Natural Science Foundation of China [82125022, 82072383]
- Key Natural Science Foundation of Chongqing [CSTC2020JCYJ-ZDXMX0006, CSTC2020JSCX-CYLHX0001]
- Key Program of Sichuan Science and Technology Department [22ZDYF0318, 2021YFQ0060]
- Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) [2020FYYX018]
- Fundamental Research Funds for the Central Universities [X20210295]
- Chongqing Returned Overseas Students' Entrepreneurship and Innovation Support Program [CX2021010]
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This paper introduces a CATCH approach using CRISPR-Cas13a, which combines gene recognition with catalytic hairpin assembly amplification to accurately and impartially identify variants. In a pilot experiment involving 34 clinical samples, this approach achieved 100% accuracy.
We develop a CRISPR-Cas13a triggered catalytic hairpin assembly (CATCH) approach for accurate and impartial identification of variants by integrating the fusion gene-selected recognition of CRISPR-Cas13a with collateral cleavage-assisted catalytic hairpin assembly amplification. This approach achieved an accuracy of 100% in a pilot experiment involving 34 clinical samples.
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