Fig. 3
From: Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data
Comparison of differential transcript usage between cardiac scRNA-seq and bulk RNA-seq populations. a t-SNE plot of the cardiac TIP cell lineages. b, c Gene expression visualised on t-SNE for bCxcl12 and cIgf1. d, e Relative peak expression visualised on t-SNE for example DU peaks between d sham fibroblasts and sham ECs, Cxcl12, and between e sham fibroblasts and MI leukocytes, Igf1. f, g Read coverage plots across the Cxcl12 and Igf1 genes for f single-cell and bulk fibroblast and EC populations (Cxcl12) and g single-cell and bulk sham fibroblast and MI leukocyte populations (Igf1). h Fisher’s exact tests on the number of overlapping DTU genes detected from scRNA-seq and bulk for different cell type/condition comparisons. Shown are the −log10 p values and the percentage of single-cell DTU genes overlapping the bulk. Red line indicates the significance (0.05) threshold. i Overlapping genes between single-cell and bulk RNA-seq from the sham fibroblast and MI leukocyte comparison. j Log fold-change comparisons for DU peaks identified in both the single-cell and bulk RNA-seq for the sham fibroblast vs EC analysis. Shown is the Spearman correlation coefficient