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Signal amplification and output of CRISPR/Cas-based biosensing systems: A review

期刊

ANALYTICA CHIMICA ACTA
卷 1185, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.aca.2021.338882

关键词

CRISPR; Cas; Biosensing; Signal output; Signal amplification

资金

  1. National Natural Science Foundation of China [21874075, 22074068, 591859123]

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CRISPR/Cas proteins are powerful gene-editing tools and also show great promise in biosensing applications. Various nucleic acid-based signal amplification techniques can greatly improve detection sensitivity and specificity, extend the detectable target range, and enable diverse signal output modes in CRISPR/Cas-based biosensors.
CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated) proteins are powerful gene-editing tools because of their ability to accurately recognize and manipulate nucleic acids. Besides gene-editing function, they also show great promise in biosensing applications due to the superiority of easy design and precise targeting. To improve the performance of CRISPR/Cas-based biosensing systems, various nucleic acid-based signal amplification techniques are elaborately incorporated. The incorporation of these amplification techniques not only greatly increases the detection sensitivity and specificity, but also extends the detectable target range, as well as makes the use of various signal output modes possible. Therefore, summarizing the use of signal amplification techniques in sensing systems and elucidating their roles in improving sensing performance are very necessary for the development of more superior CRISPR/Cas-based biosensors for various applications. In this review, CRISPR/Cas-based biosensors are summarized from two aspects: the incorporation of signal amplifica-tion techniques in three kinds of CRISPR/Cas-based biosensing systems (Cas9, Cas12 and Cas13-based ones) and the signal output modes used by these biosensors. The challenges and prospects for the future development of CRISPR/Cas-based biosensors are also discussed. (c) 2021 Elsevier B.V. All rights reserved.

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