Fig. 6: Tumor and transitional cell heterogeneity in spatial transcriptomics data. | Nature Genetics

Fig. 6: Tumor and transitional cell heterogeneity in spatial transcriptomics data.

From: Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer

Fig. 6

a, H&E of the section used for spatial transcriptomics for HT288P1. b, Pathologist-annotated regions of HT288P1. Regions highlighted include tumor (red), pancreatitis-like (blue), normal duct (green) and acinar (pink). Numbers are listed next to each annotated area if more than one are reported. c, snRNA-seq mapping using the RCTD deconvolution approach for each spatial transcriptomics spot (Methods). Each spot is colored by the expected representation of the cell types discovered from snRNA-seq. Regions of tumor, normal duct and acinar are highlighted with black dashes, showing similarity between pathology-assisted annotations and deconvolution. d, Pathologist-annotated regions of HT259P1. Numbers are listed next to each annotated area if more than one is reported. e, Pathologist-annotated regions of HT231P1. Numbers are listed next to each annotated area if more than one is reported. f, DEGs identified by spatial transcriptomics pathology-assisted regions with a focus on normal duct and PanIN. The size of the bubble indicates the percentage of cells expressing that target gene and color indicates average expression. Top, HT259P1 spatial transcriptome DEG analysis. Middle, HT231P1 spatial transcriptome DEG analysis. Bottom, spatial transcriptome-derived DEGs mapped to scRNA-seq acinar, ductal and transition populations.

Back to article page