Abstract
Cancer differentiation therapy aims to induce the maturation of neoplastic cells, but the mechanisms regulating cell fate decisions in oncogenic contexts remain unclear. In this study, we integrated single-cell chromatin accessibility and single-cell transcriptome analyses to explore the regulatory trajectories of a classical PML/RARα+ acute promyeloid leukemia (APL) cell line (NB4) post treatment by all-trans-retinoid acid (ATRA). Our findings indicated that ATRA activated specific PML/RARα-target enhancers to trigger a regulatory circuit composed of a positive feedforward gene regulatory circuit involving two transcription factors, SPI1 and CEBPE. This regulatory circuit was both necessary and sufficient to drive NB4 cells through an intermediate cell fate decision point to initiate terminal granulopoiesis. Moreover, ectopic expression of SPI1 and CEBPE promoted granulocytic differentiation in non-APL leukemia cell lines HL60 and K562. Our study sheds mechanistic insights into the differentiation trajectories induced by ATRA and illustrates a gene regulatory circuit that could be widely applied to promote differentiation of leukemia cells.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 50 print issues and online access
$259.00 per year
only $5.18 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout






Similar content being viewed by others
Data availability
Next-generation sequencing data generated in this study has been uploaded to the National Genomic Data Center (https://ngdc.cncb.ac.cn/, #HRA008275). Previously published bulk ATAC/RNA-seq and scRNA-seq data of ATRA-treated NB4 cells [14] are publicly available from The National Omics Data Encyclopedia (https://www.biosino.org/node, #OEP001921).
References
Tamiro F, Weng AP, Giambra V. Targeting leukemia-initiating cells in acute lymphoblastic leukemia. Cancer Res. 2021;81:4165ā73.
de ThĆ© H. Differentiation therapy revisited. Nat Rev Cancer. 2018;18:117ā27.
McClellan JS, Dove C, Gentles AJ, Ryan CE, Majeti R. Reprogramming of primary human Philadelphia chromosome-positive B cell acute lymphoblastic leukemia cells into nonleukemic macrophages. Proc Natl Acad Sci USA. 2015;112:4074ā9.
Linde MH, Fan AC, Kƶhnke T, Trotman-Grant AC, Gurev SF, Phan P, et al. Reprogramming cancer into antigen-presenting cells as a novel immunotherapy. Cancer Discov. 2023;13:1164ā85.
Zimmermannova O, Ferreira AG, Pereira C-F. Orchestrating an immune response to cancer with cellular reprogramming. Genes Immun. 2023;25:95ā7.
Tenen DG. Disruption of differentiation in human cancer: AML shows the way. Nat Rev Cancer. 2003;3:89ā101.
Thomas D, Majeti R. Biology and relevance of human acute myeloid leukemia stem cells. Blood. 2017;129:1577ā85.
Daniel MG, Rapp K, Schaniel C, Moore KA. Induction of developmental hematopoiesis mediated by transcription factors and the hematopoietic microenvironment. Ann N. Y Acad Sci. 2019;1466:59ā72.
Rosa FF, Pires CF, Kurochkin I, Ferreira AG, Gomes AM, Palma LG, et al. Direct reprogramming of fibroblasts into antigen-presenting dendritic cells. Sci Immunol. 2018;3:eaau4292.
de ThĆ© H, Chomienne C, Lanotte M, Degos L, Dejean A. The t(15;17) translocation of acute promyelocytic leukaemia fuses the retinoic acid receptor alpha gene to a novel transcribed locus. Nature. 1990;347:558ā61.
Warrell RP Jr, de ThĆ© H, Wang ZY, Degos L. Acute promyelocytic leukemia. N Engl J Med. 1993;329:177ā89.
Lo-Coco F, Avvisati G, Vignetti M, Thiede C, Orlando SM, Iacobelli S, et al. Retinoic acid and arsenic trioxide for acute promyelocytic leukemia. N Engl J Med. 2013;369:111ā21.
Huang ME, et al. All-trans retinoic acid with or without low dose cytosine arabinoside in acute promyelocytic leukemia. Report of 6 cases. Chin Med J. 1987;100:949ā53.
Tang Y, Tian X, Xu Z, Cai J, Liu H, Liu N, et al. Induced lineage promiscuity undermines the efficiency of all-trans-retinoid-acid-induced differentiation of acute myeloid leukemia. iScience. 2021;24:102410.
Lareau CA, Duarte FM, Chew JG, Kartha VK, Burkett ZD, Kohlway AS, et al. Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility. Nat Biotechnol. 2019;37:916ā24.
Granja JM, Corces MR, Pierce SE, Bagdatli ST, Choudhry H, Chang HY, et al. ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis. Nat Genet. 2021;53:403ā11.
Pliner HA, Packer JS, McFaline-Figueroa JL, Cusanovich DA, Daza RM, Aghamirzaie D, et al. Cicero predicts cis-regulatory DNA interactions from single-cell chromatin accessibility data. Mol Cell. 2018;71:858ā871 e858.
Liang C, Qiao G, Liu Y, Tian L, Hui N, Li J, et al. Overview of all-trans-retinoic acid (ATRA) and its analogues: structures, activities, and mechanisms in acute promyelocytic leukaemia. Eur J Med Chem. 2021;220:113451.
Tan Y, Wang X, Song H, Zhang Y, Zhang R, Li S, et al. A PML/RARalpha direct target atlas redefines transcriptional deregulation in acute promyelocytic leukemia. Blood. 2021;137:1503ā16.
Panigrahi A, OāMalley BW. Mechanisms of enhancer action: the known and the unknown. Genome Biol. 2021;22:108.
Alon U. Network motifs: theory and experimental approaches. Nat Rev Genet. 2007;8:450ā61.
McKenzie MD, Ghisi M, Oxley EP, Ngo S, Cimmino L, Esnault C, et al. Interconversion between tumorigenic and differentiated states in acute myeloid leukemia. Cell Stem Cell. 2019;25:258ā272 e259.
Li J, Ho DJ, Henault M, Yang C, Neri M, Ge R, et al. DRUG-seq provides unbiased biological activity readouts for neuroscience drug discovery. ACS Chem Biol. 2022;17:1401ā14.
Ye C, Ho DJ, Neri M, Yang C, Kulkarni T, Randhawa R, et al. DRUG-seq for miniaturized high-throughput transcriptome profiling in drug discovery. Nat Commun. 2018;9:4307.
Spitz F, Furlong EE. Transcription factors: from enhancer binding to developmental control. Nat Rev Genet. 2012;13:613ā26.
Barolo S, Posakony JW. Three habits of highly effective signaling pathways: principles of transcriptional control by developmental cell signaling. Genes Dev. 2002;16:1167ā81.
Martens JHA, Brinkman AB, Simmer F, Francoijs KJ, Nebbioso A. PML-RARalpha/RXR Alters the Epigenetic Landscape in Acute Promyelocytic Leukemia. Cancer Cell. 2010;17:173ā85.
Hromas R, et al. Hematopoietic lineage- and stage-restricted expression of the ETS oncogene family member PU.1. Blood. 1993;82:2998ā3004.
Park DJ, Chumakov AM, Vuong PT, Chih DY, Gombart AF, Miller WH Jr, et al. CCAAT/enhancer binding protein epsilon is a potential retinoid target gene in acute promyelocytic leukemia treatment. J Clin Investig. 1999;103:1399ā408.
Lanotte M, et al. NB4, a maturation inducible cell line with t(15;17) marker isolated from a human acute promyelocytic leukemia (M3). Blood. 1991;77:1080ā6.
Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016;34:525ā7.
Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550.
Corces MR, Trevino AE, Hamilton EG, Greenside PG, Sinnott-Armstrong NA, Vesuna S, et al. An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues. Nat Methods. 2017;14:959ā62.
Amemiya HM, Kundaje A, Boyle AP. The ENCODE blacklist: identification of problematic regions of the genome. Sci Rep. 2019;9:9354.
Gilbert LA, Larson MH, Morsut L, Liu Z, Brar GA, Torres SE, et al. CRISPR-mediated modular RNA-guided regulation of transcription in eukaryotes. Cell. 2013;154:442ā51.
Acknowledgements
This study is supported by research funding from the National Natural Science Foundation of China (81970130 and 81770143), National Key Research and Development Program of China (2018YFA0107802), Shanghai Commission of Science and Technology (17PJ1405800), Shanghai Municipal Education Commission Gaofeng Clinical Medicine Grant (20171902), and Shanghai Dong Fang Scholarship. The computations in this paper were performed on the ASTRA High Performance Computing Cluster supported by the National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Author information
Authors and Affiliations
Contributions
FL conceived and supervised the study. XT, LQQZ, GQYX, YJT, PZ, STY, FYJ, SW, YD, JZW, and XQW performed experiments and data analysis. DSZ, HL, JBW, SYW, and YT analyzed the data. FL, XT, and LQQZ wrote the paper with comments from all other authors.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Ethics approval and consent to participate
Patient samples were obtained according to the Declaration of Helsinki. Informed consent was obtained from all participants according to the procedures approved by the Institutional Review Board of Ruijin Hospital, which is affiliated with Shanghai Jiao Tong University School of Medicine (No. 2023-LLDS-355).
Additional information
Publisherās note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Tian, X., Zhang, L., Xiang, G. et al. Single-cell multiomics reveals a gene regulatory circuit driving leukemia cell differentiation. Oncogene 44, 1350ā1360 (2025). https://doi.org/10.1038/s41388-025-03309-z
Received:
Revised:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41388-025-03309-z


