A rapid and efficient platform for antiviral crRNA screening using CRISPR-Cas13a-based nucleic acid detection

Front Immunol. 2023 May 9:14:1116230. doi: 10.3389/fimmu.2023.1116230. eCollection 2023.

Abstract

Introduction: Rapid and high-throughput screening of antiviral clustered regularly interspaced short palindromic repeat (CRISPR) RNAs (crRNAs) is urgently required for the CRISPR-Cas13a antiviral system. Based on the same principle, we established an efficient screening platform for antiviral crRNA through CRISPR-Cas13a nucleic acid detection.

Method: In this study, crRNAs targeting PA, PB1, NP, and PB2 of the influenza A virus (H1N1) were screened using CRISPR-Cas13a nucleic acid detection, and their antiviral effects were confirmed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The RNA secondary structures were predicted by bioinformatics methods.

Results: The results showed that crRNAs screened by CRISPR-Cas13a nucleic acid detection could effectively inhibit viral RNA in mammalian cells. Besides, we found that this platform for antiviral crRNA screening was more accurate than RNA secondary structure prediction. In addition, we validated the feasibility of the platform by screening crRNAs targeting NS of the influenza A virus (H1N1).

Discussion: This study provides a new approach for screening antiviral crRNAs and contributes to the rapid advancement of the CRISPR-Cas13a antiviral system.

Keywords: CRISPR/Cas13a; antiviral; crRNA screening; influenza A(H1N1); nucleic acid detection.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Clustered Regularly Interspaced Short Palindromic Repeats* / genetics
  • Influenza A Virus, H1N1 Subtype* / genetics
  • Mammals / genetics
  • RNA, Guide, CRISPR-Cas Systems
  • RNA, Viral / genetics

Substances

  • RNA, Guide, CRISPR-Cas Systems
  • RNA, Viral

Grants and funding

This work was supported by the National Natural Science Foundation of China (grant number 31901051); and the National Science and Technology Major Project of China (grant number 2018ZX10301407).