Predicting prime editing efficiency and product purity by deep learning - Nature Biotechnology

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Predicting prime editing efficiency and product purity by deep learning

, Distribution of edit positions for single base replacement edits in library 1., Distribution of edit positions for deletion edits in library 1., Distribution of deletion lengths in library 1., Editing rates of a test self-targeting locus with a forward or reverse orientation of the target sequence. Either on plasmid level or integrated by lentiviral transduction in HEK293T cells. Data points for bars 2,3 and 5,6 correspond to two technical replicates .

The observed editing in the forward direction in the absence of PE2 could be caused by lentiviral reshuffling or ADAR-mediated A to I RNA editing. The latter could occur during lentiviral packaging in HEK293T cells: HEK293T cells endogenously express ADAR and the target site is present as RNA on the lentiviral vector and targeted by the complementary pegRNA with a mismatch, providing an ideal template for ADAR-dependent RNA editing.

 

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UZH_en ETH_en schwanklab nicopmat Artificial intelligence can improve efficiency of genome editing NBTintheNews

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