Multiplexed Detection Strategies for Biosensors Based on the CRISPR-Cas System

IF 3.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

ACS Synthetic Biology Pub Date : 2024-06-11 DOI:10.1021/acssynbio.4c00161

Cong Wei, Xueying Lei and Songcheng Yu*,

引用次数: 0

Abstract

A growing number of applications require simultaneous detection of multiplexed nucleic acid targets in a single reaction, which enables higher information density in combination with reduced assay time and cost. Clustered regularly interspaced short palindromic repeats (CRISPR) and the CRISPR-Cas system have broad applications for the detection of nucleic acids due to their strong specificity, high sensitivity, and excellent programmability. However, realizing multiplexed detection is still challenging for the CRISPR-Cas system due to the nonspecific collateral cleavage activity, limited signal reporting strategies, and possible cross-reactions. In this review, we summarize the principles, strategies, and features of multiplexed detection based on the CRISPR-Cas system and further discuss the challenges and perspective.

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基于 CRISPR-Cas 系统的生物传感器的多重检测策略。

越来越多的应用要求在单个反应中同时检测多重核酸靶标，这样既能提高信息密度，又能减少检测时间和成本。簇状规则间隔短回文重复序列（CRISPR）和 CRISPR-Cas 系统具有特异性强、灵敏度高和可编程性好等特点，因此在核酸检测领域有着广泛的应用。然而，由于非特异性的附带裂解活性、有限的信号报告策略以及可能的交叉反应，CRISPR-Cas 系统实现多重检测仍具有挑战性。在这篇综述中，我们总结了基于CRISPR-Cas系统的多重检测的原理、策略和特点，并进一步讨论了其中的挑战和前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Synthetic Biology 生物-

CiteScore

8.00

自引率

10.60%

发文量

380

审稿时长

6-12 weeks

期刊介绍： The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.