Engineering of Peptide‐Inserted Base Editors with Enhanced Accuracy and Security
Source abstract
Abstract
Abstract Base editors are effective tools for introducing base conversions without double‐strand breaks, showing broad applications in biotechnological and clinical areas. However, their non‐negligible bystander mutations and off‐target effects have raised extensive safety concerns. To address these issues, a novel method is developed by inserting specific peptide fragments into the substrate binding pocket of deaminases in base editors to modify these outcomes. It is validated that the composition and position of the inserted peptide can significantly impact the performance of A3A‐based cytosine base editor and TadA‐8e‐based adenine base editor, leading to improved editing activity and precision in human HEK293T cells. Importantly, the TadA‐8e variant with DPLVLRRRQ peptide inserted behind S116 residue showed a strong motif preference of Y4A5N6, which can accurately edit the A5 base in targeted protospacer with minimized bystander and off‐target effects in DNA and RNA‐level. By summarizing the regularity during engineering, a set of systematic procedures is established, which can potentially be used to modify other types of base editors and make them more accurate and secure. In addition, the peptide insertion strategy is also proven to be compatible with traditional amino acid changes which have been reported, exhibiting excellent compatibility.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: CRISPR and Genetic Engineering · RNA Interference and Gene Delivery · Advanced biosensing and bioanalysis techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Hematology Zhongnan Hospital of Wuhan University School of Pharmaceutical Sciences Wuhan University Wuhan 430071 China
Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Ministry of Education) Wuhan University Wuhan 430071 China
School of Pharmacy Huazhong University of Science and Technology Wuhan 430030 China
Funding
National Key Research and Development Program of China
References (80)
Show source-provided references
1. 10.1038/s41576-018-0059-110.1038/s41576-018-0059-1 ↗
2. 10.1038/nature1794610.1038/nature17946 ↗
3. 10.1038/nature2464410.1038/nature24644 ↗
4. 10.1038/nbt.381610.1038/nbt.3816 ↗
5. 10.1038/nbt.426110.1038/nbt.4261 ↗
6. 10.1002/advs.20230531110.1002/advs.202305311 ↗
7. 10.1038/s41591-018-0209-110.1038/s41591-018-0209-1 ↗
8. 10.1126/science.aav997310.1126/science.aav9973 ↗
9. 10.1126/science.aaw716610.1126/science.aaw7166 ↗
10. 10.1038/s41586-019-1161-z10.1038/s41586-019-1161-z ↗
11. 10.1038/s41586-019-1314-010.1038/s41586-019-1314-0 ↗
12. 10.1038/s41596-020-00450-910.1038/s41596-020-00450-9 ↗
13. 10.1038/s41467-018-08034-810.1038/s41467-018-08034-8 ↗
14. 10.1038/nbt.419910.1038/nbt.4199 ↗
15. 10.1126/sciadv.aba177310.1126/sciadv.aba1773 ↗
16. 10.1038/s41477-023-01540-810.1038/s41477-023-01540-8 ↗
17. 10.1126/science.abb139010.1126/science.abb1390 ↗
18. 10.1038/s41586-021-03819-210.1038/s41586-021-03819-2 ↗
19. 10.1016/j.cell.2023.05.04110.1016/j.cell.2023.05.041 ↗
20. 10.1038/nbt.419810.1038/nbt.4198 ↗
21. 10.1038/s41589-024-01595-410.1038/s41589-024-01595-4 ↗
22. 10.1038/s41587-020-0453-z10.1038/s41587-020-0453-z ↗
23. 10.1038/s41586-019-1314-010.1038/s41586-019-1314-0 ↗
24. 10.1038/s41589-022-01163-810.1038/s41589-022-01163-8 ↗
25. 10.1038/s41587-019-0193-010.1038/s41587-019-0193-0 ↗
26. 10.1038/s41467-022-32157-810.1038/s41467-022-32157-8 ↗
27. 10.1016/j.virol.2015.03.01210.1016/j.virol.2015.03.012 ↗
28. 10.1016/j.tig.2015.10.00510.1016/j.tig.2015.10.005 ↗
29. 10.1016/j.molcel.2020.07.00510.1016/j.molcel.2020.07.005 ↗
30. 10.1021/acs.biochem.9b0039410.1021/acs.biochem.9b00394 ↗
31. 10.1038/s41556-021-00671-410.1038/s41556-021-00671-4 ↗
32. 10.1016/j.molcel.2020.07.00510.1016/j.molcel.2020.07.005 ↗
33. 10.1038/nature1191810.1038/nature11918 ↗
34. 10.1002/jcp.3026010.1002/jcp.30260 ↗
35. 10.1038/s41467-022-29365-710.1038/s41467-022-29365-7 ↗
36. 10.1038/s41467-022-28300-010.1038/s41467-022-28300-0 ↗
37. 10.1126/sciadv.abm282710.1126/sciadv.abm2827 ↗
38. 10.1093/bioinformatics/btu04810.1093/bioinformatics/btu048 ↗
39. 10.1038/s42003-019-0745-310.1038/s42003-019-0745-3 ↗
40. 10.1038/s41587-020-0414-610.1038/s41587-020-0414-6 ↗
41. 10.1038/nbt.380310.1038/nbt.3803 ↗
42. 10.1038/s41587-020-0453-z10.1038/s41587-020-0453-z ↗
43. 10.1038/s41587-019-0236-610.1038/s41587-019-0236-6 ↗
44. 10.1038/s41573-020-0084-610.1038/s41573-020-0084-6 ↗
45. 10.1038/nature1539310.1038/nature15393 ↗
46. 10.1016/j.omtn.2022.04.03210.1016/j.omtn.2022.04.032 ↗
47. 10.1038/nbt.381610.1038/nbt.3816 ↗
48. 10.1038/s41591-022-02176-510.1038/s41591-022-02176-5 ↗
49. 10.1038/s41586-022-04823-w10.1038/s41586-022-04823-w ↗
50. 10.1146/annurev-biophys-030722-02055510.1146/annurev-biophys-030722-020555 ↗
51. 10.1038/s41467-024-49987-310.1038/s41467-024-49987-3 ↗
52. 10.1093/nar/gkab67310.1093/nar/gkab673 ↗
53. 10.1021/jacs.8b0400110.1021/jacs.8b04001 ↗
54. 10.1016/j.ymben.2021.08.00510.1016/j.ymben.2021.08.005 ↗
55. 10.1038/s41467-024-45969-710.1038/s41467-024-45969-7 ↗
56. 10.1038/s41587-020-0491-610.1038/s41587-020-0491-6 ↗
57. 10.1038/s41587-023-01994-310.1038/s41587-023-01994-3 ↗
58. 10.1038/s41589-021-00880-w10.1038/s41589-021-00880-w ↗
59. 10.1038/s41467-023-41331-510.1038/s41467-023-41331-5 ↗
60. 10.1038/nature2426810.1038/nature24268 ↗
61. 10.1038/s41589-023-01279-510.1038/s41589-023-01279-5 ↗
62. Hu Z. · mBio. · 2021 · 12
63. 10.1038/s41586-020-2477-410.1038/s41586-020-2477-4 ↗
64. 10.1038/s41587-020-0592-210.1038/s41587-020-0592-2 ↗
65. 10.1038/s41587-020-0609-x10.1038/s41587-020-0609-x ↗
66. 10.1038/s41587-022-01595-610.1038/s41587-022-01595-6 ↗
67. 10.1093/nsr/nwad14310.1093/nsr/nwad143 ↗
68. 10.1038/s41587-023-02050-w10.1038/s41587-023-02050-w ↗
69. 10.1016/j.molcel.2024.01.02110.1016/j.molcel.2024.01.021 ↗
70. 10.1126/science.aas912910.1126/science.aas9129 ↗
71. 10.1126/science.aba885310.1126/science.aba8853 ↗
72. 10.1038/s41587-022-01410-210.1038/s41587-022-01410-2 ↗
73. 10.1093/bioinformatics/bty56010.1093/bioinformatics/bty560 ↗
74. 10.1186/1471-2105-13-3110.1186/1471-2105-13-31 ↗
75. 10.2174/187503620130701000110.2174/1875036201307010001 ↗
76. 10.1038/s41587-019-0032-310.1038/s41587-019-0032-3 ↗
77. 10.1089/crispr.2018.001410.1089/crispr.2018.0014 ↗
78. 10.1093/nar/gky42710.1093/nar/gky427 ↗
79. 10.1021/acs.jctc.5b0025510.1021/acs.jctc.5b00255 ↗
80. 10.1038/nmeth.365810.1038/nmeth.3658 ↗