ArticleNature biotechnology2024
Strand-preferred base editing of organellar and nuclear genomes using CyDENT.
Article in Nature biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 54 citations in OpenAlex.
- Harnessing mitochondrial genome editing for crop improvement: principles and applications.aBIOTECH · 2026Review
- Gene Therapy Tools for Diseases Caused by Mutations of the Mitochondrial Genome.International journal of molecular sciences · 2026Review
- Emerging therapeutic strategies for mitochondrial DNA-related diseases.Cell reports. Medicine · 2026Review
- Advances in molecular breeding of medicinal plants.Molecular horticulture · 2026Review
- Base Editors for Engineering Industrial Microorganisms: Types, Applications, and Future Perspectives.Biotechnology journal · 2026Review
- Structural basis for double-stranded DNA cytosine deamination by BaDTF3 and its application in mitochondrial genome editing.Nature communications · 2026Article
- Emerging Design Principles at the Forefront of Mitochondrial Transplantation Using Engineering Methodologies: Current Achievements and Future Directions.Chemical biology & drug design · 2026Review
- High-precision cytosine base editors by evolving nucleic-acid-recognition hotspots in deaminase.Nature biotechnology · 2026Article
- Editing and synthetic engineering of chloroplast genomes.Plant communications · 2026Review
- Review
- Efficient mitochondrial A-to-G base editors for the generation of mitochondrial disease models.Nature biotechnology · 2026Article
- Base editors model mitochondrial disease.Nature biotechnology · 2026Article
- DNA Methylation Dynamics in Plant Abiotic Stress Response: Mechanisms, Memory, and Breeding Applications.Genes · 2026Review
- Leveraging base excision repair for efficient adenine base editing of mitochondrial DNA.Nature biotechnology · 2026Article
- Review
- Advances in gene therapy for mitochondrial genetic disorders: current status and clinical implementation challenges.Journal of translational medicine · 2025Review
- CyDENT: A tale of CRISPR-free strand-specific base editor for nuclear and organellar genomes.Molecular therapy. Nucleic acids · 2025Article
- Computational design of a high-precision mitochondrial DNA cytosine base editor.Nature structural & molecular biology · 2025Article
- Advancements in genomic crop techniques and considerations for regulation and food safety.Transgenic research · 2025Review
- Engineering Adenine Deaminase TadA for Precise and PAM-Flexible Point Mutagenesis and Gradient-Tuning Endogenous Protein Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcription-activator-like effector (TALE)-based tools for base editing of nuclear and organellar DNA rely on double-stranded DNA deaminases, which edit substrate bases on both strands of DNA, reducing editing precision. Here, we present CyDENT base editing, a CRISPR-free, strand-selective, modular base editor. CyDENT comprises a pair of TALEs fused with a FokI nickase, a single-strand-specific cytidine deaminase and an exonuclease to generate a single-stranded DNA substrate for deamination. We demonstrate effective base editing in nuclear, mitochondrial and chloroplast genomes. At certain mitochondrial sites, we show editing efficiencies of 14% and strand specificity of 95%. Furthermore, by exchanging the CyDENT deaminase with one that prefers editing GC motifs, we demonstrate up to 20% mitochondrial base editing at sites that are otherwise inaccessible to editing by other methods. The modular nature of CyDENT enables a suite of bespoke base editors for various applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.