Supplementary Figure 3: Exome-guided design of precision MAEGI to activate endogenous mutant genes. | Nature Immunology

Supplementary Figure 3: Exome-guided design of precision MAEGI to activate endogenous mutant genes.

From: Multiplexed activation of endogenous genes by CRISPRa elicits potent antitumor immunity

Supplementary Figure 3

a, Exome sequencing identified genic mutations in E0771 cells, indicated over their positions in the mouse genome. Genes were colored by the presence or absence of SNPs and/or indels. b, Scatter plot showing the number of mutations as SNPs or indels per gene. Genes were filtered by a minimum number of total mutations in E0771 cells compared to wildtype C57BL/6J mammary fat pad. Examples of the most highly mutated genes are Tekt2, Hmmr, Acer2, G3bp1, Rsc1a1, Slu7, Fat2 and Skint3. A total of 1,116 genes were used in custom library design. c, Violin density plot of sgRNA representation in the E0771 exome-guided AAV-p-MAEGI plasmid library (n = 3,839 sgRNAs), showing 100% representation of the library. d, Representative images of mice at experimental end-point from PBS, AAV-Vector, and AAV-p-MAEGI groups in the E0771 syngeneic tumor model. e, Growth curves of E0771 syngeneic tumors in Rag1–/– mice treated by PBS (n = 6), AAV-Vector (n = 5), or AAV-p-MAEGI (n = 6) by intratumoral administration at indicated times (blue arrows). n = biologically independent mice. Two-way ANOVA: AAV-Vector vs. PBS, p = 0.0653; AAV-p-MAEGI vs. PBS, p = 0.6982; AAV-p-MAEGI vs. AAV-Vector, p = 0.0634. Error bars: All data in this figure are presented as mean ± s.e.m., with individual data points shown. Asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001.

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