The CRISPR/Cas System: A Customizable Toolbox for Molecular Detection

Genes (Basel). 2023 Mar 31;14(4):850. doi: 10.3390/genes14040850.

Abstract

Clustered regularly interspaced short palindromic repeats (CRISPR) and their associated proteins (Cas) are promising molecular diagnostic tools for rapidly and precisely elucidating the structure and function of genomes due to their high specificity, programmability, and multi-system compatibility in nucleic acid recognition. Multiple parameters limit the ability of a CRISPR/Cas system to detect DNA or RNA. Consequently, it must be used in conjunction with other nucleic acid amplification techniques or signal detection techniques, and the reaction components and reaction conditions should be modified and optimized to maximize the detection performance of the CRISPR/Cas system against various targets. As the field continues to develop, CRISPR/Cas systems have the potential to become an ultra-sensitive, convenient, and accurate biosensing platform for the detection of specific target sequences. The design of a molecular detection platform employing the CRISPR/Cas system is asserted on three primary strategies: (1) Performance optimization of the CRISPR/Cas system; (2) enhancement of the detection signal and its interpretation; and (3) compatibility with multiple reaction systems. This article focuses on the molecular characteristics and application value of the CRISPR/Cas system and reviews recent research progress and development direction from the perspectives of principle, performance, and method development challenges to provide a theoretical foundation for the development and application of the CRISPR/CAS system in molecular detection technology.

Keywords: CRISPR/Cas system; application; molecular detection; point-of-care testing.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • CRISPR-Cas Systems* / genetics
  • DNA*
  • Genome
  • RNA

Substances

  • DNA
  • RNA

Grants and funding

This research was funded by the High-level Talents Research Start-up Foundation of Jilin Agricultural Technological Innovation Project, Jilin Academy of Agricultural Sciences, China (Funding number: CXGC2021RCG002); the IAQST Foundation from Jilin Academy of Agricultural Sciences, Changchun, China (Funding number: ZBS20Y02); Postdoc Foundation of Jilin Agricultural Technological Innovation Project, Jilin Academy of Agricultural Sciences, China (Funding number: CXGC2020RCB002).