Published January 14, 2021
| Version v.1.0
Dataset
Open
Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq
Authors/Creators
- 1. Spanish National Cancer Research Centre (CNIO)
- 2. Laboratorio de Oncología Clínico-Traslacional, Unidad de Investigación en tumores Digestivos, Instituto de Investigación I+12, Hospital 12 de Octubre, Madrid, Spain
Description
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.
Notes
The original single-cell data can be accessed through the Gene Expression Omnibus (GEO), accession number GSE114462.
Files
Files
(330.3 MB)
| Name | Size | |
|---|---|---|
|
md5:74898ec5d3bacb6ebd0622836bd89c3b
|
330.3 MB | Download |