Effective in vivo RNA base editing via engineered cytidine deaminase APOBECs fused with PUF proteins
Year: 2025
Type: article
Abstract: Base editing stands at the forefront of genetic engineering, heralding precise genetic modifications with broad implications. While CRISPR-based DNA and RNA base editing systems capitalize on sgRNA-guided specificity and diverse deaminase functionalities, the pursuit of efficient C-to-U RNA editing has been hampered by the inherent constraints of cytidine deaminases. Here, we report an RNA base editing platform by refining cytidine deaminases, termed professional APOBECs (ProAPOBECs), through systematic enhancements and AI-driven protein engineering. ProAPOBECs demonstrate unprecedented catalytic versatility, particularly fused with RNA-recognizing Pumilio and FBF (PUF) proteins. We demonstrate that in vivo RNA base editing of Pcsk9 using ProAPOBECs effectively lowers cholesterol levels in mice. Additionally, AAV-mediated RNA base editing with ProAPOBECs in the brain of an autism mouse model not only corrects point mutations in Mef2c mRNAs but also significantly alleviates disease-associated phenotypes. This work introduces a pioneering collection of RNA base editing instruments, emphasizing their therapeutic potential in combatting genetic disorders. RNA base editing offers promise for treating genetic diseases but has faced efficiency limits. Here, authors developed AI-engineered APOBEC enzymes (ProAPOBECs) that enable precise RNA editing in mice, lowering cholesterol and improving autism-like behaviors.
Source: Nature Communications
Institutions: Shanghai Jiao Tong University, Shanghai Medical College of Fudan University, Fudan University, National Institute of Arthritis and Musculoskeletal and Skin Diseases, Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology, Southern University of Science and Technology, Shanghai Institute of Nutrition and Health
Language: English
Topic: RNA regulation and disease
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
OpenAlex ID: W4415880783
