Single-cell analysis identifies unique transcriptional regulation in leukemic stem cells, suggesting new therapeutic strategies for AML.
Key Points
This research aims to explore the transcriptional regulation and differentiation trajectories in acute myeloid leukemia (AML) using single-cell multi-omics.
Performed multi-platform single-cell RNA and ATAC-seq on 36 AML samples and 4 remission samples
Analyzed epigenetic heterogeneity and identified distinct differentiation states within AML subgroups
Used computational tools for cell clustering and transcription factor activity analysis with SCENIC+
Identified distinct transcriptional programs associated with leukemic stem cells across AML subgroups
Revealed subgroup-specific differentiation trajectories and transcription factor activation patterns
Demonstrated a conserved leukemic hierarchy with stem-like cells at the apex, impacting AML pathogenesis
Cite This Study
Liew-Littorin et al. (2025) studied this question.