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一种用于临床诊断应用的高效CRISPR/Cas协同剪切平台。

An Efficient CRISPR/Cas Cooperative Shearing Platform for Clinical Diagnostics Applications.

作者信息

Zhao Junhong, Kong Derong, Zhang Guanghui, Zhang Shen, Wu Yungen, Dai Changhao, Chen Yiheng, Yang Yuetong, Liu Yunqi, Wei Dacheng

机构信息

State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200433, P. R. China.

Laboratory of Molecular Materials and Devices, Fudan University, Shanghai, 200433, P. R. China.

出版信息

Angew Chem Int Ed Engl. 2024 Dec 20;63(52):e202411705. doi: 10.1002/anie.202411705. Epub 2024 Nov 6.

Abstract

The CRISPR/Cas system is a powerful genome editing tool and possesses widespread applications in molecular diagnostics, therapeutics and genetic engineering. But easy folding of the target sequences causes remarkable deterioration of the recognition and shear efficiency in the case of single Cas-CRISPR RNA (crRNA) duplex. Here, we develop a CRISPR/Cas cooperative shearing (CRISPR-CS) system. Compared with traditional CRISPR/Cas system, two CRISPR/Cas-crRNA duplexes simultaneously recognize different sites in the target sequence, increasing recognition possibility and shearing efficiency. Cooperative shearing cuts more methylene blue-ssDNA reporters on the electrode, enabling unamplified nucleic acid electrochemical assay in less than 5 minutes with a detection limit of 9.5×10 M, 2 to 9 orders of magnitude lower than those of other electrochemical assays. The CRISPR-CS platform detects monkeypox, human papilloma virus and amyotrophic lateral sclerosis with an accuracy up to 98.1 %, demonstrating the potential application of the efficient cooperative shearing.

摘要

CRISPR/Cas系统是一种强大的基因组编辑工具,在分子诊断、治疗和基因工程领域有着广泛的应用。但在单Cas-CRISPR RNA(crRNA)双链体情况下,靶序列易于折叠会导致识别和剪切效率显著下降。在此,我们开发了一种CRISPR/Cas协同剪切(CRISPR-CS)系统。与传统的CRISPR/Cas系统相比,两个CRISPR/Cas-crRNA双链体同时识别靶序列中的不同位点,提高了识别可能性和剪切效率。协同剪切在电极上切割更多的亚甲基蓝-单链DNA报告分子,可在不到5分钟内实现无需扩增的核酸电化学检测,检测限为9.5×10 M,比其他电化学检测低2至9个数量级。CRISPR-CS平台检测猴痘病毒、人乳头瘤病毒和肌萎缩侧索硬化症的准确率高达98.1%,证明了高效协同剪切的潜在应用价值。

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