Fig. 1: APOBEC3A and APOBEC3B mutation landscape in patients’ tumors. | Nature Communications

Fig. 1: APOBEC3A and APOBEC3B mutation landscape in patients’ tumors.

From: Quantification of ongoing APOBEC3A activity in tumor cells by monitoring RNA editing at hotspots

Fig. 1

a, b Whole Genome Sequencing (WGS) of patient tumor samples (from TCGA and other projects, see Supplementary Table 1) were analyzed for their mutation frequency in the TpC motif. Each patient’s tumor samples were plotted by their level of mutations in the TpC motif and their mutation frequency in RTC versus YTC sequences. c, d Patients’ tumor samples were plotted according to their A3A expression level and mutation frequency in YTC sequences. Color-codes indicate patients’ tumor types (a, c) or APOBEC3A mutation frequency in DNA stem-loops (b, d).

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