A Bayesian framework to study tumor subclone–specific expression by combining bulk DNA and single-cell RNA sequencing data

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Figure 2.
Figure 2.

Single-cell assignment and subclone-specific EMT signature enrichment analysis in a longitudinal breast cancer data set. (A) Tumor subclone evolution reconstructed from bulk whole-genome DNA sequencing data across doxorubicin treatment of a refractory breast cancer patient from our previous study (Brady et al. 2017). (B) Cell-to-subclone assignment from scRNA-seq data collected from the tumor samples before and after doxorubicin treatment. Blue bars and numbers represent the number of cells from the pretreatment sample assigned to each subclone; orange bars and numbers represent the number of cells from the posttreatment sample assigned to each subclone. (C) Z-score of ssGSEA enrichment scores for epithelial to mesenchymal transition (EMT) signature: grouped by subclone (left), and by time point (right).

This Article

  1. Genome Res. 34: 94-105

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