Fig. 4: TCRKOTIGITKO T cells generated by BE4max display an optimal safety profile. | Nature Communications

Fig. 4: TCRKOTIGITKO T cells generated by BE4max display an optimal safety profile.

From: TIGIT disruption rescues the antitumor activity of low avidity TCR-engineered T cells by increasing TCR signal strength

Fig. 4: TCRKOTIGITKO T cells generated by BE4max display an optimal safety profile.

A Schematics of the experiments shown in Figure 4 and Figure S6,7. B Frequency of nucleotide conversion quantified within the BE4max editing window (position 3-11 of sgRNAs) at on-target sites and predicted off-target loci (OT). Color code identifies OT for each sgRNA used. N = 3 biological independent samples. Statistical analysis by two-way ANOVA. The list of OT loci analyzed is shown in Supplementary Fig. 7A. Relative proportion of variants (C) and substitution types (D) in base edited TCRKOTIGITKO and mock electroporated (Untreated) T cells identified by WES and obtained after subtraction of germline variants. N = 4 matched biological independent samples. Statistical analysis by two-way ANOVA. E Bubble plot representing variants in cancer- and senescence- related genes obtained as in (C, D). Black arrows indicate missense mutations, classified as relevant hits. N = 4 matched biological independent samples. F Translocation frequencies between all target loci assessed by ddPCR in BE4max and CRISPR/Cas9 treated cells. Statistical analysis by paired two-tail t-test. N = 3 matched biological independent samples for each genome editing strategy. Data are represented as mean ± s.e.m. *, P < 0.05, ****, P < 0.0001. Source data and exact p values are provided as a Source Data file.

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