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Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia

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dc.contributor.author Beneyto Calabuig, Sergi
dc.contributor.author Szu-Tu, Chelsea
dc.contributor.author Velten, Lars
dc.date.accessioned 2023-06-20T06:24:47Z
dc.date.available 2023-06-20T06:24:47Z
dc.date.issued 2023
dc.identifier.citation Beneyto-Calabuig S, Merbach AK, Kniffka JA, Antes M, Szu-Tu C, Rohde C, et al. Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia. Cell Stem Cell. 2023 May 4;30(5):706-21.e8. DOI: 10.1016/j.stem.2023.04.001
dc.identifier.issn 1934-5909
dc.identifier.uri http://hdl.handle.net/10230/57259
dc.description.abstract Inter-patient variability and the similarity of healthy and leukemic stem cells (LSCs) have impeded the characterization of LSCs in acute myeloid leukemia (AML) and their differentiation landscape. Here, we introduce CloneTracer, a novel method that adds clonal resolution to single-cell RNA-seq datasets. Applied to samples from 19 AML patients, CloneTracer revealed routes of leukemic differentiation. Although residual healthy and preleukemic cells dominated the dormant stem cell compartment, active LSCs resembled their healthy counterpart and retained erythroid capacity. By contrast, downstream myeloid progenitors constituted a highly aberrant, disease-defining compartment: their gene expression and differentiation state affected both the chemotherapy response and leukemia's ability to differentiate into transcriptomically normal monocytes. Finally, we demonstrated the potential of CloneTracer to identify surface markers misregulated specifically in leukemic cells. Taken together, CloneTracer reveals a differentiation landscape that mimics its healthy counterpart and may determine biology and therapy response in AML.
dc.description.sponsorship This work was financially supported by the German Bundesministerium für Bildung und Forschung (BMBF) through the Juniorverbund in der Systemmedizin “LeukoSyStem” (FKZ 01ZX1911D to L.V. and S.R.) as well as the Verbundprojekt SMART-CARE (031L0212A to C.M.-T.), the Emerson foundation grant 643577 (to L.V.), grant PID2019-108082GA-I00 and PRE2020-093229 by the Spanish Ministry of Science, Innovation and Universities (MCIU/AEI/FEDER, UE), the German Research Foundation (DFG; projects MU1328/18-1 and MU1328/21-1 and MU1328/23-1 to C.M.-T.), and the German Cancer Aid (DKH; project 70113908 to C.M.-T.). L.V. acknowledges support of the Spanish Ministry of Science and Innovation to the EMBL partnership, the Centro de Excelencia Severo Ochoa and the CERCA Programme/Generalitat de Catalunya. C.M.-T., A.K.M., and J.-A.K. gratefully acknowledge the data storage service SDS@hd supported by the Ministry of Science, Research and the Arts Baden-Württemberg (MWK) and the German Research Foundation (DFG) through grant INST 35/1314-1 FUGG and INST 35/1503-1 FUGG. J.-A.K. acknowledges support of the Deutsche Gesellschaft für Hämatologie und Medizinische Onkologie e.V. (DGHO) and Deutsche José Carreras Leukämie-Stiftung e.V. through the José Carreras-DGHO-Promotionsstipendium.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Cell Stem Cell. 2023 May 4;30(5):706-21.e8
dc.rights © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.stem.2023.04.001
dc.subject.keyword AML
dc.subject.keyword CSC
dc.subject.keyword HSC
dc.subject.keyword LSC
dc.subject.keyword Acute myeloid leukemia
dc.subject.keyword Cancer stem cells
dc.subject.keyword Cellular differentiation
dc.subject.keyword Computational biology
dc.subject.keyword Computational method
dc.subject.keyword Hematopoietic stem cells
dc.subject.keyword Leukemic stem cells
dc.subject.keyword Single-cell RNA-seq
dc.subject.keyword Single-cell genomics
dc.subject.keyword Single-cell transcriptomics
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-108082GA-I00
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PRE2020-093229
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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