A motif-targeted adenine base editor, ABE8e-YA, improved precise A-to-G editing at YA motifs while reducing bystander and off-target editing.
Evidence
This preclinical gene-editing platform study compared ABE8e-YA with other in human cells and mouse models, finding up to 3.1-fold higher editing at indicated YA motifs with reduced bystander C editing and minimized DNA or RNA off-targets.
Caveat
The evidence comes from human cells and mouse disease-model and Pcsk9 editing experiments, so therapeutic benefit and safety in patients were not tested.
Simplified
47% of hereditable diseases are caused by single C•G-to-T•A base conversions, which means efficient A-to-G base editing tools () have great potential for the treatment of these diseases. However, the existing efficient ABEs, while catalyzing targeted A-to-G conversion, cause high A or C and off-target events, which poses safety concerns for their clinical applications. To overcome this shortcoming, we have developed ABE8e-YA (ABE8e with TadA-8e A48E) for efficient and accurate editing of As in YA motifs with YAY > YAR (Y = T or C, R = A or G) hierarchy through structure-oriented rational design. Compared with ABE3.1, which is currently the only ABE version with a YAC motif preference, ABE8e-YA exhibits an average A-to-G editing efficiency improvement of an up to 3.1-fold increase in the indicated YA motif while maintaining reduced bystander C editing and minimized DNA or RNA off-targets. Additionally, we demonstrate that ABE8e-YA efficiently and precisely corrects pathogenic mutations in human cells, suggesting its high suitability for addressing 9.3% of pathogenic point mutations, higher than that of ABE8e and ABE9. Moreover, by using ABE8e-YA, we efficiently and precisely generate hypocholesterolemia and tail-loss mouse models mimicking human-associated disease, as well as performed in vivo mouse proprotein convertase subtilisin/kexin type 9 (Pcsk9) base editing for hypercholesterolemia gene therapy. Together these data indicate its great potential in broad applications for disease modeling and gene therapy.
Key numbers
3.1×
Increase in Efficiency
Average efficiency increase of compared to ABE3.1.
9.3%
Addressed
Percentage of point mutations suitable for correction using .
Full Text
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Five disclosed individuals submitted under-review patent applications based on this study, mainly relating to ABE8e-YA; three match canonical authors and two initials remain unresolved.