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Arceci Innovation Award","id":[{"id":"https:\/\/ror.org\/03h1gea69","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Henry Schueler 41&9 Foundation"},{"name":"University of Toronto MD\/PhD Studentship Award","id":[{"id":"https:\/\/ror.org\/03dbr7087","id-type":"ROR","asserted-by":"crossref"}]},{"name":"University of Toronto\u2019s Medicine by Design initiative"}],"content-domain":{"domain":["aacrjournals.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title\/>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Significance:<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                    <jats:p>See related commentary by Berger and Penter, p. 280<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1158\/2643-3230.bcd-24-0342","type":"journal-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T15:02:01Z","timestamp":1745852521000},"page":"307-324","update-policy":"https:\/\/doi.org\/10.1158\/crossmark_policy","source":"Crossref","is-referenced-by-count":107,"title":["Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation"],"prefix":"10.1158","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3223-6400","authenticated-orcid":false,"given":"Andy G.X.","family":"Zeng","sequence":"first","affiliation":[{"name":"1Princess Margaret Cancer Centre, University Health 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