ArticleNature communications2021
Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed, 54 citations in OpenAlex.
- Adenine base editor for knockout of proteins: A practical guide from design to analysis with updated MultiEditRbatch.Molecular therapy. Nucleic acids · 2026Article
- Rationally and in silico guided APOBEC3F-directed CBE for enhanced PDAC genetic therapy.Communications biology · 2026Article
- Review
- A Plug-in system for reprogramming the editing patterns of base editors.Nature communications · 2025Article
- Research progress of base editing and prime editing tools based on the CRISPR/Cas system.Molecular therapy. Nucleic acids · 2025Review
- Efficient glycosylase-mediated base editing with minimal off-target effects in mammalian embryos.Genome biology · 2025Article
- CRISPR-GATE: a one-stop repository and guide to computational resources for genome editing experimentation.Briefings in bioinformatics · 2025Review
- Engineering of high-precision C-to-G base editors with expanded site selectivity and target compatibility.Nucleic acids research · 2025Article
- Deep Learning Based Models for CRISPR/Cas Off-Target Prediction.Small methods · 2025Review
- Developing safe and efficient CGBE editor based on Cas-embedding strategy.Synthetic and systems biotechnology · 2025Article
- Synthetic Biology-Based Engineering Cells for Drug Delivery.Exploration (Beijing, China) · 2025Review
- Efforts to Downsize Base Editors for Clinical Applications.International journal of molecular sciences · 2025Review
- Structure-guided discovery of highly efficient cytidine deaminases with sequence-context independence.Nature biomedical engineering · 2025Article
- Be-dataHIVE: a base editing database.BMC bioinformatics · 2024Article
- CRISPR technology in human diseases.MedComm · 2024Review
- Base Editors-Mediated Gene Therapy in Hematopoietic Stem Cells for Hematologic Diseases.Stem cell reviews and reports · 2024Review
- Development of deaminase-free T-to-S base editor and C-to-G base editor by engineered human uracil DNA glycosylase.Nature communications · 2024Article
- Fusion of a rice endogenousaBIOTECH · 2024Article
- Advances in Immunocompetent Mouse and Rat Models.Cold Spring Harbor perspectives in medicine · 2024Review
- A prime editor mouse to model a broad spectrum of somatic mutations in vivo.Nature biotechnology · 2024Article
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 1 country.
Funding
Abstract
Efficient and precise base editors (BEs) for C-to-G transversion are highly desirable. However, the sequence context affecting editing outcome largely remains unclear. Here we report engineered C-to-G BEs of high efficiency and fidelity, with the sequence context predictable via machine-learning methods. By changing the species origin and relative position of uracil-DNA glycosylase and deaminase, together with codon optimization, we obtain optimized C-to-G BEs (OPTI-CGBEs) for efficient C-to-G transversion. The motif preference of OPTI-CGBEs for editing 100 endogenous sites is determined in HEK293T cells. Using a sgRNA library comprising 41,388 sequences, we develop a deep-learning model that accurately predicts the OPTI-CGBE editing outcome for targeted sites with specific sequence context. These OPTI-CGBEs are further shown to be capable of efficient base editing in mouse embryos for generating Tyr-edited offspring. Thus, these engineered CGBEs are useful for efficient and precise base editing, with outcome predictable based on sequence context of targeted sites.
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Registered trials
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