ArticleBMB reports2025
Identification of optimal adenine and cytosine base editors for genome editing in Arabidopsis and soybean.
Article in BMB reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.Cancer gene therapy · 2026Review
- CRISPR/Cas9 in soybean research: a measured leap toward genetic refinement.Frontiers in genome editing · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Base editors, including adenine base editors (ABEs) and cytosine base editors (CBEs), are widely used in numerous organisms to introduce site-specific sequence modifications in genomic DNA without causing double-strand breaks (DSBs). However, these editors exhibit low editing efficiencies, particularly in dicot plants, thereby limiting their application in dicot plant genome engineering. In this study, we assessed the editing efficiencies of various base editors to identify those optimal for base editing in dicot plants. We discovered that ABE8e, an ABE variant, demonstrated superior A-to-G base editing efficiency within A5-A8 windows, and A3A/Y130F-V04, a CBE variant, exhibited the highest C-to-T base editing efficiency within C4-C15 windows in both Arabidopsis and soybean protoplasts. Overall, we recommend these two base editors as prime choices for efficient genome engineering in a range of crop plants. [BMB Reports 2025; 58(7): 288-292].
Indexed as
Identifiers
40495486PMC12313402What OpenQuestion holds
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.