Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity.

ABSTRACT: Acute myeloid leukemia (AML) is a heterogeneous disease that resides within a complex microenvironment, complicating efforts to understand how different cell types contribute to disease progression. We combined single-cell RNA sequencing and genotyping to profile 38,410 cells from 40 bone marrow aspirates, including 16 AML patients and five healthy donors. We then applied a machine learning classifier to distinguish a spectrum of malignant cell types whose abundances varied between patients and between subclones in the same tumor. Cell type compositions correlated with prototypic genetic lesions, including an association of FLT3-ITD with abundant progenitor-like cells. Primitive AML cells exhibited dysregulated transcriptional programs with co-expression of stemness and myeloid priming gen

SUBMITTER: van Galen P 

PROVIDER: S-EPMC6515904 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature