Fig. 6: Quantifying readthrough for >17,000 natural termination codons (NTCs).
From: Genome-scale quantification and prediction of pathogenic stop codon readthrough by small molecules
a, Readthrough distributions across drugs for the PTC and NTC libraries (two-sided Wilcoxon test, ***P < 2 × 10−16 and n = 23,459, n = 23,096, n = 22,905, n = 22,989 for clitocine, DAP, G418 and SRI, respectively, whereas P = NS and n = 23,201 for SJ6986). The top and bottom sides of the box are the lower and upper quartiles. The box covers the interquartile interval, where 50% of the data are found. The horizontal line that splits the box in two is the median. b, Readthrough distributions across drugs for the PTC and NTC libraries. The threshold indicates the number of amino acids downstream of the NTC considered for the analysis. NTC variants with a 3′-UTR in-frame stop codon more proximal than the threshold are assumed to have a readthrough of 0%. Increasing the threshold increases the number of readthrough-insensitive variants. The number of NTC high-confidence variants (≥10 reads) recovered for each treatment and for which readthrough percentages were quantified are 17,812, 17,654, 17,382, 17,661 and 17,587 for clitocine, DAP, G418, SJ6986 and SRI, respectively. c, Drug-specific models predictive performance on the NTC dataset using NTC-trained tenfold cross-validated models (top) or PTC-trained models (bottom). d, Correlation of the mean readthrough for each sequence context between PTCs and NTCs, colored by the sequence feature. NS, not significant.
