Risk Prediction of RNA Off-Targets of CRISPR Base Editors in Tissue-Specific Transcriptomes Using Language Models
Kazuki Nakamae, Takayuki Suzuki, Sora Yonezawa, K. Yamamoto, Taro Kakuzaki, Hiromasa Ono, Yuki Naito, Hidemasa U. Bono
The paper develops PiCTURE and machine learning models to predict RNA off-target effects of CRISPR base editors in tissue-specific transcriptomes, finding higher risks in colon and lungs compared to brain and ovaries.
International Journal of Molecular Sciences · Feb 18, 2025Peer-reviewedGenomics