Base editors (BEs) hold great potential for medical applications of gene therapy. However, high precision base editing requires BEs that can discriminate between the target base and multiple bystander bases within a narrow active window (4 – 10 nucleotides). Here, to assist in the design of these optimized editors, we propose a discrete-state stochastic approach to build an analytical model that explicitly evaluates the probabilities of editing the target base and bystanders. Combined with all-atom molecular dynamic simulations, our model reproduces the experimental data of A3A-BE3 and its variants for targeting the “T
- Publication Date:
- NSF-PAR ID:
- 10305229
- Journal Name:
- Nature Communications
- Volume:
- 12
- Issue:
- 1
- ISSN:
- 2041-1723
- Publisher:
- Nature Publishing Group
- Sponsoring Org:
- National Science Foundation
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Base editors (BEs) are genome editing agents that install point mutations with high efficiency and specificity. Due to their reliance on uracil and inosine DNA damage intermediates (rather than double-strand DNA breaks, or DSBs), it has been hypothesized that BEs rely on more ubiquitous DNA repair pathways than DSB-reliant genome editing methods, which require processes that are only active during certain phases of the cell cycle. We report here the first systematic study of the cell cycle-dependence of base editing using cell synchronization experiments. We find that nickase-derived BEs (which introduce DNA backbone nicks opposite the uracil or inosine base) function independently of the cell cycle, while non-nicking BEs are highly dependent on S-phase (DNA synthesis phase). We found that synchronization in G1 (growth phase) during the process of cytosine base editing causes significant increases in C•G to A•T “byproduct” introduction rates, which can be leveraged to discover new strategies for precise C•G to A•T base editing. We observe that endogenous expression levels of DNA damage repair pathways are sufficient to process base editing intermediates into desired editing outcomes, and the process of base editing does not significantly perturb transcription levels. Overall, our study provides mechanistic data demonstrating the robustnessmore »
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