The Challenge Facing CRISPR/Cas9 System: Off-Target Effects and Their Optimization

Authors

  • Haotian Sun

DOI:

https://doi.org/10.54097/psd28z73

Keywords:

CRISPR/Cas9 system, off-target effect, optimization.

Abstract

The field of genome editing has undergone a profound revolution with the emergence of CRISPR-Cas9 technology, which enables precise modifications to the genetic code. However, a critical concern is the possibility for the appearance of off-target, where the modifications induced by Cas9 nuclease are at non-intended targets. The mismatches of the seed sequence with the single guide RNA (sgRNA) and the inappropriate length of it could induce off-target effects. Moreover, the inflammatory response triggered by virus-mediated delivery methods may also be responsible for off-target. For the expected events, a large number of deletions of the sequences of the targeted sequence induced by CRISPR-Cas9 may bring the uncertainty of safety. The random changes of genes induced by CRISPR-Cas9 may affect future generations through gene drives, which still lacks long-term studies on long-lived organisms. The off-target effects could be detected by some sequencing methods such as GUIDE-seq, and ITR-seq; however, the suitable ways are situation-dependent. Eventually, the specificity of the technique may be improved through the predictions implemented by Deep Learning, enhancing fidelity and lowering the binding affinity of the Cas9, binding of dual sgRNAs, and delivery method of RNP complexes. This review introduced the causes, effects, and detection methods of the off-target and further discussed of several ways that can mitigate the off-target effects.

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References

Kotagama, O. W., Jayasinghe, C. D., & Abeysinghe, T. (2019). Era of genomic medicine: a narrative review on CRISPR technology as a potential therapeutic tool for human diseases. BioMed research international, 2019.

Zhang, J. P., Li, X. L., Neises, A., Chen, W., Hu, L. P., Ji, G. Z., ... & Zhang, X. B. (2016). Different effects of sgRNA length on CRISPR-mediated gene knockout efficiency. Scientific reports, 6 (1), 28566.

Muruve, D. A. (2004). The innate immune response to adenovirus vectors. Human gene therapy, 15 (12), 1157-1166.

Wang, X., Wang, Y., Wu, X., Wang, J., Wang, Y., Qiu, Z., ... & Yee, J. K. (2015). Unbiased detection of off-target cleavage by CRISPR-Cas9 and TALENs using integrase-defective lentiviral vectors. Nature biotechnology, 33 (2), 175-178.

Shin, H. Y., Wang, C., Lee, H. K., Yoo, K. H., Zeng, X., Kuhns, T., ... & Hennighausen, L. (2017). CRISPR/Cas9 targeting events cause complex deletions and insertions at 17 sites in the mouse genome. Nature communications, 8 (1), 15464.

Wang, G. H., Gamez, S., Raban, R. R., Marshall, J. M., Alphey, L., Li, M., ... & Akbari, O. S. (2021). Combating mosquito-borne diseases using genetic control technologies. Nature communications, 12 (1), 4388.

Grunwald, H. A., Gantz, V. M., Poplawski, G., Xu, X. R. S., Bier, E., & Cooper, K. L. (2019). Super-Mendelian inheritance mediated by CRISPR–Cas9 in the female mouse germline. Nature, 566 (7742), 105-109.

Tsai, S. Q., Zheng, Z., Nguyen, N. T., Liebers, M., Topkar, V. V., Thapar, V., ... & Joung, J. K. (2015). GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases. Nature biotechnology, 33 (2), 187-197.

Tsai, S. Q., Nguyen, N. T., Malagon-Lopez, J., Topkar, V. V., Aryee, M. J., & Joung, J. K. (2017). CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targets. Nature methods, 14 (6), 607-614.

Lin, J., & Wong, K. C. (2018). Off-target predictions in CRISPR-Cas9 gene editing using deep learning. Bioinformatics, 34 (17), i656-i663.

Kleinstiver, B. P., Pattanayak, V., Prew, M. S., Tsai, S. Q., Nguyen, N. T., Zheng, Z., & Joung, J. K. (2016). High-fidelity CRISPR–Cas9 nucleases with no detectable genome-wide off-target effects. Nature, 529 (7587), 490-495.

Ran, F. A., Hsu, P. D., Lin, C. Y., Gootenberg, J. S., Konermann, S., Trevino, A. E., ... & Zhang, F. (2013). Double nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity. Cell, 154 (6), 1380-1389.

Kim, S., Kim, D., Cho, S. W., Kim, J., & Kim, J. S. (2014). Highly efficient RNA-guided genome editing in human cells via delivery of purified Cas9 ribonucleoproteins. Genome research, 24 (6), 1012-1019.

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Published

29-12-2023

How to Cite

Sun, H. (2023). The Challenge Facing CRISPR/Cas9 System: Off-Target Effects and Their Optimization. Highlights in Science, Engineering and Technology, 74, 782-787. https://doi.org/10.54097/psd28z73