4.7 Review

CRISPR-Cas systems: From gene scissors to programmable biosensors

Journal

TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Volume 137, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2021.116210

Keywords

Biosensing; CRISPR-Cas; Nucleic acid detection; Non-nucleic acid detection

Funding

  1. National Natural Science Foundation of China (NSFC) [21922601, 21777013]
  2. National Key R&D Program of China [2019YFC1905400]
  3. Fundamental Research Funds for the Central Universities [DUT19TD20]
  4. LiaoNing Revitalization Talents Program [XLYC1807080]

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The increasing demand for developing biosensors in various fields poses challenges on sensor performance requirements such as sensitivity, selectivity, and operating costs. CRISPR-Cas systems, known as molecular scissors, are highly accurate in cleaving specific DNA and RNA sequences, and recent studies have shown the establishment of versatile biosensing platforms based on CRISPR-Cas. The review introduces the general characteristics and mechanisms of class II CRISPR-Cas systems, highlighting their biosensing strategies for detecting a wide range of nucleic acid and non-nucleic acid analytes.
The increasing needs for developing biosensors for various applications in infectious disease diagnosis, environmental monitoring, and food safety put forth challenges on sensor performances such as sensitivity, selectivity, assay time, and operation cost. The CRISPR-Cas systems, regarded as molecular scissors, present an extremely high accuracy toward cleaving the targeted DNA and RNA. The presence of a target triggers the activation of CRISPR-Cas system to cleave the specific nucleic acid sequence and generate a signal. Recent studies have demonstrated the establishment of various facile and versatile CRISPR-Cas-based biosensing platforms. In this review, we will briefly introduce the general characteristics and mechanisms of the class II CRISPR-Cas systems, and highlight the biosensing strategies for a wide variety nucleic acid and non-nucleic acid analytes. (c) 2021 Elsevier B.V. All rights reserved.

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