Recent advances in clustered regularly interspaced short palindromic repeats-based detection of severe acute respiratory syndrome coronavirus 2

doi:10.3724/SP.J.1123.2022.08001

Chinese Journal of Chromatography ›› 2022, Vol. 40 ›› Issue (9): 773-781.DOI: 10.3724/SP.J.1123.2022.08001

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Recent advances in clustered regularly interspaced short palindromic repeats-based detection of severe acute respiratory syndrome coronavirus 2

ZHOU Wen¹^,², YANG Kaiguang¹^,^*(), ZHANG Lihua¹^,^*(), LIANG Zhen¹, ZHANG Yukui¹

1. CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
2. University of Chinese Academy of Science, Beijing 100049, China

Received:2022-08-01 Online:2022-09-08 Published:2022-09-26
Supported by:
National Natural Science Foundation of China(21874131);National Natural Science Foundation of China(21725506);“Youth Innovation Promotion Association” of CAS(Y2021058);Innovation Foundation of DICP, CAS(DICP I202030)

Abstract

Abstract:

The rapid global spread of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has introduced various challenges in global public health systems. The poor applicability and sensitivity of the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and antigen-based tests, as well as the persistent emergence of SARS-CoV-2 variants with different mutations hinder satisfactory epidemic prevention and control. Therefore, there is an urgent need for diagnostic technologies capable of distinguishing SARS-CoV-2 variants with high sensitivity and low (or no) equipment dependence. Diagnosis based on clustered regularly interspaced short palindromic repeats (CRISPR) has low equipment requirements and is programmable, sensitive, and easy to use. Various nucleic acid detection tools with great clinical potential have been developed for the diagnosis of infectious diseases. Therefore, this review focuses on the reported state-of-the-art CRISPR diagnostic technologies developed for the detection and differentiation of SARS-CoV-2 variants, summarizes their characteristics and provides an outlook for their development.

Key words: severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), isothermal nucleic acid amplification, clustered regularly interspaced short palindromic repeats (CRISPR), SARS-CoV-2 variants

CLC Number:

O658

ZHOU Wen, YANG Kaiguang, ZHANG Lihua, LIANG Zhen, ZHANG Yukui. Recent advances in clustered regularly interspaced short palindromic repeats-based detection of severe acute respiratory syndrome coronavirus 2[J]. Chinese Journal of Chromatography, 2022, 40(9): 773-781.

Figures/Tables 6

Fig. 1 Detailed schematic of loader and chip function in CARMEN[13]

Fig. 2 Schematic of CARMEN v.1 and mCARMEN workflows[17]

Fig. 3 Schematic of the streamlined mCARMEN workflow[17]

Fig. 4 Schematic of SHINE[9]

Fig. 5 Schematic of the SHINE v.2 workflow[23]

Fig. 6 Graphic of the experimental workflow of ADESSO to detect SARS-CoV-2 in clinical samples[26]

References

[1]	Larremore D B, Wilder B, Lester E, et al. Sci Adv, 2021, 7(1): eabd5393
[2]	Mogling R, Meijer A, Berginc N, et al. Emerg Infect Dis, 2020, 26(8): 1944
[3]	Mina M J, Andersen K G. Science, 2021, 371(6525): 126
[4]	Pray I W, Ford L, Cole D, et al. MMWR Morb Mortal Wkly Rep, 2021, 69(5152): 1642
[5]	Dao Thi V L, Herbst K, Boerner K, et al. Sci Transl Med, 2020, 12(556): eabc7075
[6]	Rabe B A, Cepko C. Proc Natl Acad Sci USA, 2020, 117(39): 24450
[7]	Ishino Y, Shinagawa H, Makino K, et al. J Bacteriol, 1987, 169(12): 5429
[8]	Liu T Y, Knott G J, Smock D C J, et al. Nat Chem Biol, 2021, 17(9): 982
[9]	Arizti-Sanz J, Freije C A, Stanton A C, et al. Nat Commun, 2020, 11(1): 5921
[10]	Chakraborty D, Agrawal A, Maiti S. The Lancet, 2021, 397(10282): 1346
[11]	de Puig H, Lee R A, Najjar D, et al. Sci Adv, 2021, 7(32): eabh2944
[12]	Kulesa A, Kehe J, Hurtado J E, et al. Proc Natl Acad Sci USA, 2018, 115(26): 6685
[13]	Ackerman C M, Myhrvold C, Thakku S G, et al. Nature, 2020, 582(7811): 277
[14]	Metsky H C, Welch N L, Pillai P P, et al. Nat Biotechnol, 2022, 40(7): 1123
[15]	Layden J E, Ghinai I, Pray I, et al. N Engl J Med, 2020, 382(10): 903
[16]	Wolfel R, Corman V M, Guggemos W, et al. Nature, 2020, 581(7809): 465
[17]	Welch N L, Zhu M, Hua C, et al. Nat Med, 2022, 28(5): 1083
[18]	Qian J, Boswell S A, Chidley C, et al. Nat Commun, 2020, 11(1): 5920
[19]	Basu A, Zinger T, Inglima K, et al. J Clin Microbiol, 2020, 58(8): e01136-20
[20]	Svoboda E. Nature, 2019, 573(7774): S56
[21]	Gootenberg J S, Abudayyeh O O, Lee J W, et al. Science, 2017, 356(6336): 438
[22]	Myhrvold C, Freije C A, Gootenberg J S, et al. Science, 2018, 360(6387): 444
[23]	Arizti-Sanz J, Bradley A, Zhang Y B, et al. Nat Biomed Eng, 2022, DOI: 10.1038/s41551-022-00889-z
[24]	Pollock N R, Jacobs J R, Tran K, et al. J Clin Microbiol, 2021, 59(5): e00083-21
[25]	Pollock N R, Tran K, Jacobs J R, et al. Open Forum Infect Dis, 2021, 8(7): ofab243
[26]	Casati B, Verdi J P, Hempelmann A, et al. Nat Commun, 2022, 13(1): 3308
[27]	Aleta A, Martin-Corral D, Pastore Y P A, et al. Nat Hum Behav, 2020, 4(9): 964

Recent advances in clustered regularly interspaced short palindromic repeats-based detection of severe acute respiratory syndrome coronavirus 2

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