CMV-YE1-BE3-FNLS-CMV-mCherry Citations (2)

Originally described in: A rationally engineered cytosine base editor retains high on-target activity while reducing both DNA and RNA off-target effects.
Zuo E, Sun Y, Yuan T, He B, Zhou C, Ying W, Liu J, Wei W, Zeng R, Li Y, Yang H Nat Methods. 2020 May 18. pii: 10.1038/s41592-020-0832-x. doi: 10.1038/s41592-020-0832-x. PubMed Journal

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Articles Citing CMV-YE1-BE3-FNLS-CMV-mCherry

Articles
Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods. Yuan T, Yan N, Fei T, Zheng J, Meng J, Li N, Liu J, Zhang H, Xie L, Ying W, Li D, Shi L, Sun Y, Li Y, Li Y, Sun Y, Zuo E. Nat Commun. 2021 Aug 12;12(1):4902. doi: 10.1038/s41467-021-25217-y. PubMed
Deep learning models incorporating endogenous factors beyond DNA sequences improve the prediction accuracy of base editing outcomes. Yuan T, Wu L, Li S, Zheng J, Li N, Xiao X, Zhang H, Fei T, Xie L, Zuo Z, Li D, Huang P, Feng H, Cao Y, Yan N, Wei X, Shi L, Sun Y, Wei W, Sun Y, Zuo E. Cell Discov. 2024 Feb 20;10(1):20. doi: 10.1038/s41421-023-00624-1. PubMed

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