Fig. 3
From: Predicting adenine base editing efficiencies in different cellular contexts by deep learning
Correlation of editing efficiencies between in vitro and in vivo ABE screening datasets. a Correlation of total A-to-G editing efficiency between in vivo (mRNA-LNP and AAV) and in vitro (HEK-Plasmid) screening datasets for SpRY-ABE8e (left, n = 2418, 5233) and SpRY-ABEmax (right, n = 7817, 8770). b Violin plots of total editing efficiency in mRNA-ABE datasets with SpRY-ABE8e (top) and SpRY-ABEmax (bottom) with 0.2 pmol, 1 pmol or 5 pmol mRNA transfection. Datasets were filtered for best PAMs (NRN) and mean editing efficiency is given (grey line). n for SpRY-ABE8e = 6361, 6424, 5730 and SpRY-ABEmax = 6159, 6322, 5961. c Correlation of total A-to-G editing efficiency between in vivo (mRNA-LNP and AAV) and in vitro (HEK-mRNA) screening datasets for SpRY-ABE8e (left, n = 2388, 5018) and SpRY-ABEmax (right, n = 7308, 7897). The red line in all plots represents linear regression