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http://bura.brunel.ac.uk/handle/2438/33104| Title: | Dissecting infant leukemia developmental origins with a hemogenic gastruloid model |
| Authors: | Ragusa, D Suen, CW Torregrosa Cortes, G Pastorino, F Johns, A Cicirò, Y Dijkhuis, L van den Brink, S Cilli, M Byrne, C Ionescu, G-A Cerveira, J Kranc, KR Hernandez-Hernandez, V Ponzoni, M Bigas, A Garcia-Ojalvo, J Martínez Arias, A Pina, C |
| Issue Date: | 11-Sep-2025 |
| Publisher: | eLife Sciences Publications |
| Citation: | Ragusa, D. et al. (2025) 'Dissecting infant leukemia developmental origins with a hemogenic gastruloid model', eLife, 14, RP102324, pp. 1–34. doi: 10.7554/elife.102324. |
| Abstract: | Current in vitro models of developmental blood formation lack spatio-temporal accuracy and weakly replicate successive waves of hematopoiesis. Herein, we describe a mouse embryonic stem cell (SC)-derived 3D hemogenic gastruloid (haemGx) that captures multi-wave blood formation, progenitor specification from hemogenic endothelium (HE), and generates hematopoietic progenitors capable of short-term engraftment of immunodeficient mice upon maturation in an in vivo niche. We took advantage of the haemGx model to interrogate the origins of infant acute myeloid leukemia (infAML). We focused on MNX1-driven leukemia, representing the commonest genetic abnormality unique to the infant group. Enforced MNX1 expression in haemGx promotes the expansion and in vitro transformation of yolk sac-like erythroid-myeloid progenitors at the HE-to-hematopoietic transition to faithfully recapitulate patient transcriptional signatures. By combining phenotypic, functional, and transcriptional profiling, including at the single-cell level, we establish the haemGx as a useful new model for the study of normal and leukemic embryonic hematopoiesis. |
| Description: | Data availability: Raw data as well as processed count matrices and post-processed files from single cell RNA-seq for the time-resolved data is available at at Array Express with accession code E-MTAB-12148. Bulk RNA-seq of MNX1 overexpressing gastruloids is available at Array Express with accession code E-MTAB-12173. The post-processing was performed in Python on DockerHub: dsblab/single_cell_analysis:0.5. Scripts are available in https://github.com/dsb-lab/blood_gastruloids (copy archived at Torregrosa Cortes, 2025) and Zenodo (https://doi.org/10.5281/zenodo.7053423). The results published here are partly based upon data generated by the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) (https://ocg.cancer.gov/programs/target) initiative, of the Acute Myeloid Leukemia (AML) cohort GDC TARGET-AML. The data used for this analysis are available at https://portal.gdc.cancer.gov/ and https://xenabrowser.net/ . The following data sets were generated: Ragusa DSuen WCortés GTPina C (2022) ArrayExpress ID E-MTAB-12148. Single cell analysis of gastruloid hemogenic development. https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-12148 . Ragusa DSuen WCortés GTPina C (2022) ArrayExpress ID E-MTAB-12173. RNA sequencing of mouse embryonic stem cells (mES) and hemogenic gastruloids with MNX1 overexpression. https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-12173?query=E-MTAB-12173 . |
| URI: | https://bura.brunel.ac.uk/handle/2438/33104 |
| DOI: | https://doi.org/10.7554/elife.102324 |
| Other Identifiers: | ORCiD: Denise Ragusa https://orcid.org/0000-0002-0303-8683 ORCiD: Gabriel Torregrosa Cortes https://orcid.org/0000-0003-4528-5663 ORCiD: Ylenia Cicirò https://orcid.org/0000-0003-1607-3266 ORCiD: Anna Bigas https://orcid.org/0000-0003-4801-6899 ORCiD: Alfonso Martínez Arias https://orcid.org/0000-0002-1781-564X ORCiD: Cristina Pina https://orcid.org/0000-0002-2575-6301 |
| Appears in Collections: | Department of Life Sciences Research Papers |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2025, Ragusa, Suen, Torregrosa Cortes et al. This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited. | 15.94 MB | Adobe PDF | View/Open |
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