Fig. 3
From: SCReadCounts: estimation of cell-level SNVs expression from scRNA-seq data
Two-dimensional UMAP clusters of samples SRR10156295 and SRR10156296 showing cells classified by type (left) and visualizing cell-level expression of somatic mutations (right): COSV99055840 in CENPF, COSV55220443 in STMN2, COSV85221362 in TXNIP, COSV10111219 in SYNJ2BP, COSV101287113 in PRAME, COSV100451465 in MRPS24, and COSV104673712 in SERPINA1. Each pair of panels shows VAFRNA, (top) where the intensity of the red color corresponds to the relative expression of the somatic mutation and the green color indicates that all the reads (minR = 3) covering the position in the cell carried the reference nucleotide, compared to variant call (bottom), where the black color indicates presence of the mutation, and grey indicates either lack of variant or lack of gene expression. Hence, SCReadCounts allows to distinguish cells with only reference reads from cells with low or no expression of the SNV-harboring gene