Cas14a1-mediated nucleic acid detectifon platform for pathogens

IF 10.5 1区 生物学 Q1 BIOPHYSICS
Xiaolin Ge , Tian Meng , Xiao Tan , Yangdao Wei , Zhenzhen Tao , Zhiqing Yang , Fengge Song , Peng Wang , Yi Wan
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引用次数: 35

Abstract

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated nuclease (Cas) based biosensing system provides a novel genomic diagnostic tool for pathogenic detection. However, most of the discovered Cas effectors have poor single strand DNA (ssDNA) target recognition capability with the constraint of protospacer adjacent motif (PAM) sites, which are not suitable for universal pathogenic diagnosis. Herein, we developed a highly sensitive and specific fluorescence tool for bacterial detection by utilizing the unique collateral cleavage activity of a Cas14a1-mediated nucleic acid detection platform (CMP). We combine CMP with molecular amplification to build a CRISPR-Cas based bioanalysis technique, offering fast nucleic acid detection with high sensitivity and specificity. This technique can identify different species of pathogens in milk samples with excellent accuracy. The CMP technique is a promising platform for pathogenic genomic diagnostic in biomedicine and food safety field.

cas14a1介导的病原体核酸检测平台
基于聚类规则间隔短回文重复序列(CRISPR)相关核酸酶(Cas)的生物传感系统为病原检测提供了一种新的基因组诊断工具。然而,大多数发现的Cas效应子受原间隔器邻近基序(PAM)位点的限制,单链DNA (ssDNA)靶标识别能力较差,不适合用于普遍的病原诊断。在此,我们利用cas14a1介导的核酸检测平台(CMP)独特的侧支裂解活性,开发了一种高度敏感和特异性的荧光细菌检测工具。我们将CMP与分子扩增相结合,建立了一种基于CRISPR-Cas的生物分析技术,提供快速、高灵敏度和特异性的核酸检测。该技术可以准确地鉴定牛奶样品中不同种类的病原体。CMP技术在生物医学和食品安全领域具有广阔的应用前景。
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来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
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