Fig. 1

Genome-wide loss-of-function screen to identify inflammatory breast cancer (IBC)-specific sensitivities. a Graphic representation of the screen strategy described in the text. b Unsupervised cluster analysis of shRNA screens functionally classifies breast cancer models based on their molecular subtype. c Top 20 genes that specifically compromise the viability of IBC lines when silenced. Heatmap displays the average fold-change in shRNA representation for IBC and non-IBC lines as well as the individual z score for each of the cell lines in the screen. d The most statistically significant enriched Gene Ontology (GO) terms (left) and gene set enrichment analysis (GSEA) modules (right) in the 71 genes that specifically compromise the viability of IBC lines when silenced. HTP high throughput, MOI, multiplicity of infection