Extended Data Fig. 1: Patient and cancer information for integration analysis of CD8 T cells. | Nature Immunology

Extended Data Fig. 1: Patient and cancer information for integration analysis of CD8 T cells.

From: The GPCR–Gαs–PKA signaling axis promotes T cell dysfunction and cancer immunotherapy failure

Extended Data Fig. 1: Patient and cancer information for integration analysis of CD8 T cells.The alternative text for this image may have been generated using AI.

a, Information about patients, cancer type, and dataset used in the singe-cell RNA-seq integration. b, Visualization of 217,953 CD8 T cells after integration from 30 singe-cell RNA-seq datasets. c, Statistical comparison of calculated dysfunction score from tumor-infiltrating populations of CD8s characterized from Fig. 1b. Each dot represents one cell from groups listed in Supplementary Table 1a. Naïve: lower bound=0.147, middle bound=0.229, upper bound=0.337, 25th percentile=0.228, 75th percentile=0.231. Proliferating: lower bound=0.372, middle bound=0.564, upper bound=0.790, 25th percentile=0.556, 75th percentile=0.571. Cytotoxic: lower bound=0.184, middle bound=0.290, upper bound=0.447, 25th percentile=0.288, 75th percentile=0.292. Effector Memory: lower bound=0.209, middle bound=0.304, upper bound=0.431, 25th percentile=0.303, 75th percentile=0.305. Exhausted: lower bound=0.361, middle bound=0.555, upper bound=0.800, 25th percentile=0.551, 75th percentile=0.559.

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