Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27832
Title: Dissecting infant leukemia developmental origins with a hemogenic gastruloid model
Authors: Ragusa, D
Suen, C-W
Torregrosa Cortes, G
Dijkhuis, L
Byrne, C
Ionescu, G-A
Cerveira, J
Kranc, KR
Bigas, A
Garcia-Ojalvo, J
Martinez Arias, A
Pina, C
Keywords: hematopoiesis;developmental hematopoiesis;leukemia;Infant leukemia;acute myeloid leukemia;MNX1;t(7;12);gastruloid;organoid;single-cell RNA-sequencing
Issue Date: 7-Oct-2022
Publisher: Cold Spring Harbor Laboratory
Citation: Ragusa, D. et al. (2022) 'Dissecting infant leukemia developmental origins with a hemogenic gastruloid model', bioRxiv, [preprint]. 2022.10.07.511362, pp. 1 - 43. doi: 10.1101/2022.10.07.511362.
Abstract: Current in vitro models of developmental blood formation lack spatiotemporal coherence and weakly replicate the hematopoietic microenvironment. Developmentally-appropriate models can enhance understanding of infant acute myeloid leukemia (infAML), which putatively originates in utero and has 50% age-unique genetic events, suggesting unique biology. The commonest genetic abnormality unique to infants involves homeobox gene MNX1, whose leukemogenic mechanisms remain unknown. Recently, 3D self-organising embryonic stem cell (SC)-based gastruloids have shown promise in recapitulating embryonic events with time/space precision. Herein, we report a hemogenic gastruloid (haemGx) system that captures multi-wave blood formation, progenitor specification from hemogenic endothelium (HE), and approximates generation of hematopoietic SC precursors. Enforced MNX1 expression in haemGx promotes HE formation, perturbs endothelial-to-hemogenic transition, and critically achieves transformation, generating myeloid colonies which display MNX1 AML signatures. By combining functional assays with single-cell transcriptomics, we establish the haemGx as a new model of normal and leukemic embryonic hematopoiesis amenable to mechanistic exploration.
Description: This article is a preprint and has not been certified by peer review.
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 E-MTAB-12148. Single-cell RNA-seq for the MNX1 overexpression experiment is available at Array Express with accession code E-MTAB-12149. 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 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/projects and https://xenabrowser.net/.
URI: https://bura.brunel.ac.uk/handle/2438/27832
DOI: https://doi.org/10.1101/2022.10.07.511362
Other Identifiers: ORCID iD: Cristina Pina https://orcid.org/0000-0002-2575-6301
Appears in Collections:Dept of Life Sciences Research Papers

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