Single-Cell RNA-Seq Reveals Intermediate Cell States and Identifies Features Defining Cellular Heterogeneity in Inv(16) Acute Myeloid Leukemia (AML) (ASH 2023)
Through gene expression-based cell cycle scoring, single sample gene set enrichment (ssGSEA), and marker identification, these 9 leukemic clusters can be defined by several features, including high heme-metabolism (C0, C1, and C2), high proliferation (C1, C8), S phase (C4, C10), low oxidative phosphorylation (C2, C5, C17), high Cd9 (C10), high Egfl7 (C7, C8). Altogether, these data reveal intermediate differentiation cell states in inv(16) leukemic cells which are highly heterogeneous populations with distinct cell cycle stages, metabolic activities, and marker expression.