Fig. 8: Differential expression of proteome between RP13 and RP13-Cas9.

A–C Volcano plots showing the log2 fold change against the two-tailed t-test derived −log10 statistical p-value for all proteins (represented by 2 or more unique peptides) and differentially expressed (DE) between RP13- and RP13-Cas9-derived tissues (A) 4535 unique proteins, DE = 203), RPE (B) 4574 unique proteins, DE = 56) and KiOs (C) 4294 unique proteins, DE = 4). Different RP13- and RP13-Cas9-ROs had consistent high correlation coefficients of R = 0.96–0.99, respectively. Upregulated and downregulated proteins are shown in magenta and blue, respectively. PRPF8 is labelled in red and proteins associated with retinal degeneration are labelled in green; (D, E) Top GO terms (in the domain of cellular components) related to proteins with significant differential expression in ROs (D) and RPE (E); (F, G) Correlation between proteomics, transcriptomics and iCLIP data in RP13 versus control ROs (F) and RPE (G); Scatter plot of protein abundance ratios against corresponding mRNA ratios is plotted. The changes in iCLIP ratios are displayed using a colour gradient. Selected hits are labelled. The colourless datapoints represent proteins that were not identified in the iCLIP experiments.