AML Profiling by scRNA-seq
scRNAseq data from AML and normal bone marrow
Description: Single-cell RNA sequencing and genotyping to profile 38,410 cells from 40 bone marrow aspirates, including 16 AML patients and five healthy donors. A machine learning classifier was applied to distinguish a spectrum of malignant cell types whose abundances varied between patients and between subclones in the same tumor.
Authors: Peter van Galen
Citationvan Galen P, Hovestadt V, Wadsworth Ii MH, et al. Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity. Cell. 2019;176(6):1265‐1281.e24. doi:10.1016/j.cell.2019.01.031
Sample Type:human sample
Datatype:Normalized expression of scRNA counts
This dataset is available by request only.
Contact: Mark Minden
Contact email: Email