Supplementary Figure S16 from Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation
posted on 2025-07-01, 07:21authored byAndy G.X. Zeng, Ilaria Iacobucci, Sayyam Shah, Amanda Mitchell, Gordon Wong, Suraj Bansal, David Chen, Qingsong Gao, Hyerin Kim, James A. Kennedy, Andrea Arruda, Mark D. Minden, Torsten Haferlach, Charles G. Mullighan, John E. Dick
<p>Supplementary Figure S16. Sorting strategy for primary and xenografted AML samples A) Gating strategy for primary AML samples sorted into immature CD34+CD38- and mature CD34-CD38+ fractions, pertaining to Figure 7 and Supplementary Figures S17, S18, and S19. Live (PI-) single cells were gated on CD45+CD3- prior to sorting based on CD34 and CD38 status. Sorted immature CD34+CD38- and mature CD34-CD38+ fractions were subject to xenotransplantation as well as scRNA-seq. B) Gating strategy for AML xenograft samples profiled for scRNA-seq, pertaining to Figure 7 and Supplementary Figures S17, S18, and S19. Live (PI-) single cells were gated on CD45+CD3- prior to scRNA-seq. Detailed information on antibodies used for fluorescence-activated cell sorting (FACS) can be found in Supplementary Table S21.</p>
Funding
Canadian Institutes of Health Research (CIHR)
Princess Margaret Cancer Foundation (PMCF)
Government of Ontario (Ontario Government)
Canadian Cancer Society (CCS)
International Development Research Centre (IDRC)
Terry Fox Foundation (La Fondation Terry Fox)
Canada First Research Excellence Fund (CFREF)
Canada Research Chairs (Chaires de recherche du Canada)
American Lebanese Syrian Associated Charities (ALSAC)
Alex’s Lemonade Stand Foundation for Childhood Cancer (ALSF)
National Cancer Institute (NCI)
United States Department of Health and Human Services
Therapeutic targeting of acute myeloid leukemia (AML) is hampered by intra- and inter-tumoral cell state heterogeneity. To develop a more precise understanding of AML cell states, we constructed a reference atlas of human hematopoiesis from 263,159 single-cell transcriptomes spanning 55 cellular states. Using this atlas, we mapped more than 1.2 million cells spanning 318 leukemia samples, revealing 12 recurrent patterns of aberrant differentiation in AML. Notably, this uncovered unexpected AML cell states resembling lymphoid and erythroid progenitors that were prognostic within the clinically heterogeneous context of normal karyotype AML, independent of genomic classifications. Systematic mapping of genotype-to-phenotype associations revealed specific differentiation landscapes associated with more than 45 genetic drivers. Importantly, distinct cellular hierarchies can arise from samples sharing the same genetic driver, potentially reflecting distinct cellular origins for disease-sustaining leukemia stem cells. Thus, precise mapping of malignant cell states provides insights into leukemogenesis and refines disease classification in acute leukemia.
We present a single-cell reference atlas of human hematopoiesis and a computational tool for rapid mapping and classification of healthy and leukemic cells. Applied to AML, this has enabled single-cell analysis at the scale of hundreds of patient samples, revealing the full breadth of derailment of differentiation in AML.See related commentary by Berger and Penter, p. 280