Fig. 7: Distinct cellular states in spatial RNA-seq and association with patient outcome. | Nature Immunology

Fig. 7: Distinct cellular states in spatial RNA-seq and association with patient outcome.

From: Pan-cancer profiling of tumor-infiltrating natural killer cells through transcriptional reference mapping

Fig. 7: Distinct cellular states in spatial RNA-seq and association with patient outcome.

a, Deconvoluted spatial RNA-seq images from SKCM, NSCLC and GBM at the level of immune populations. b, Pie charts depicting compositional analysis of major immune populations from scRNA-seq datasets and spatial-seq datasets for SKCM, NSCLC and GBM samples. c,d, Annotation of CD56bright and CD56dim NK cell subsets (c) and the six cellular states of NK cells (d) in SKCM. e–g, Dot plots depicting selected genes belonging to NK cytotoxicity (e), stress response (f) and immunosuppression (g) scored across NK cell states in spatial-seq data from SKCM. h, Kaplan–Meier survival curves showing association of high/low group 1/3 gene signatures with patient outcome across tumor types. Survival analysis was performed using Cox’s proportional hazards model; P values were computed using the log(rank) test.

Back to article page