Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq

Beyondcell is a methodology for the identification of drug vulnerabilities in single cell RNA-seq data. To this end, Beyondcell focuses on the analysis of drug-related commonalities between cells by classifying them into distinct therapeutic clusters. We have validated the tool in a population of MCF7-AA cells exposed to 500nM of bortezomib and collected at different time points: t0 (before treatment), t12, t48 and t96 (72h treatment followed by drug wash and 24h of recovery) obtained from Ben-David U, et al., Nature, 2018. Here, you can find the integrated Seurat object obtained from this analysis. This object is meant to help users follow Beyondcell's analysis workflow.