Evidence map›Paper›PMID 40294241›Full record

ArticleBlood cancer discovery2025

Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation.

Andy G X Zeng, Ilaria Iacobucci, Sayyam Shah, Amanda Mitchell, Gordon Wong, Suraj Bansal, David Chen, Qingsong Gao, Hyerin Kim, James A Kennedy and 5 more

Abstract read
In one paragraph

Article in Blood cancer discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Organism-scale annotation with Pan-human Azimuth.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Andy G X ZengPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0002-3223-6400
Ilaria Iacobucci *Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0003-2008-1365
Sayyam Shah *Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0009-0005-1064-3223
Amanda MitchellPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0009-0005-7444-5306
Gordon WongPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0009-0007-2408-1393
Suraj BansalPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0003-4023-6635
David ChenPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0003-3178-519X
Qingsong GaoDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-9930-8499
Hyerin KimPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0009-0002-6860-1227
James A KennedyDivision of Medical Oncology and Hematology, Sunnybrook Health Sciences Centre, Toronto, Canada.ORCID 0009-0007-2844-2256
Andrea ArrudaPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0003-2516-8005
Mark D MindenPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0002-9089-8816
Torsten HaferlachMLL Münchner Leukämielabor GmbH, München, Germany.ORCID 0000-0003-0196-2837
Charles G MullighanDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-1871-1850
John E DickPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.ORCID 0000-0002-9527-8317

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Shondra Michelle Miller · 1985 to 2026
$166.9M
Translating genomic discoveries to improved outcomes for high risk acute leukemiaR35CA197695 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Charles G Mullighan · 2017 to 2026
$11.4M
Alex's Lemonade Stand Foundation for Childhood Cancer (ALSF)American Lebanese Syrian Associated Charities (ALSAC)Canada First Research Excellence Fund (CFREF)Canada Research Chairs (Chaires de recherche du Canada)Canadian Cancer Society (CCS) 703212Canadian Institutes of Health Research (CIHR) RN380110-409786Government of Ontario (Ontario Government)Henry Schueler 41&9 FoundationInternational Development Research Centre (IDRC)NCI NIH HHS P30 CA021765NCI NIH HHS R35 CA197695Princess Margaret Cancer Foundation (PMCF)St. Baldrick's Foundation Robert J. Arceci Innovation AwardTerry Fox Foundation (La Fondation Terry Fox) 1106University of Toronto MD/PhD Studentship AwardUniversity of Toronto's Medicine by Design initiative
6 · The paper itself

Abstract

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. SIGNIFICANCE: 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.

Indexed as

Cell DifferentiationHematopoiesisLeukemia, Myeloid, AcuteSingle-Cell AnalysisTranscriptomeGene Expression ProfilingHumans

Identifiers

PMID40294241
PMCPMC12209776

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.