A Plug-in system for reprogramming the editing patterns of base editors
Year: 2025
Type: article
Abstract: DNA base editors are transformative genome editing tools that enable nucleotide conversions without inducing double-stranded DNA breaks, making them promising for correcting genetic mutations. Current base editors, however, are limited by fixed editing windows and constrained location of deaminases. To address these constraints, we develop a modular system termed Plug-in Base Editor (Plug-in BE), which dynamically programs deaminase positioning via integrating various epitopes and antibody-fused deaminases. This system expands the editing capabilities of base editors by optimizing deaminase’s spatial interaction with DNA, leading to improvements in efficiencies, window restrictions, and safety profiles. We validate Plug-in BE’s versatility and high fidelity in cancer gene therapy and zebrafish embryo editing, demonstrating its potential as a powerful and adaptable tool for basic research and therapeutic applications. This innovation can generate a series of base editors without extensive protein evolution, positioning Plug-in BE as a significant advancement in the field of genome editing. Base editors enable nucleotide conversions but have fixed editing patterns. Here, authors develop Plug-in Base Editor, a modular system programming deaminase positioning via epitope-antibody interactions to boost efficiency and adjust editing windows.
Source: Nature Communications
Authors: Chaoyue Zhong, Lan Yu, Tingting Zhao, Xue Shen, Zhen Li, Wei Zhu, Zheng Hu, Rui Tian, Zhiqiang Han, Dan He
Institutions: Wuhan University, Zhongnan Hospital of Wuhan University, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Hubei University of Medicine, Xiang Yang No.1 People's Hospital, Shanxi Medical University, Shanxi Academy of Medical Sciences, Tongji Hospital, Huazhong University of Science and Technology
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
OpenAlex ID: W4417525264
