CRISPR Safety Framework Identifies Intended and Unintended Mutations

A team of researchers led by Professor Akitsu Hotta (Department of Clinical Application) developed a comprehensive framework that combines computational prediction, experimental validation and whole-genome analysis to evaluate intended and unintended mutations arising from CRISPR-Cas9 delivered by lipid nanoparticles (LNPs), providing a practical strategy to improve the safety of genome-editing therapies. The work is published in the journal Molecular Therapy Nucleic Acids.