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
Lab: Minden
Year: 2019
Keywords:

Citation

van 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

83 samples

Sample Type:human sample
Species:Human
Datatype:Normalized expression of scRNA counts
Technology:scRNA-seq

Contact

This dataset is available by request only.

Contact: Mark Minden

Contact email: Email