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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Johns, Ayona | - |
| dc.contributor.author | Pina, Cristina | - |
| dc.contributor.author | Ragusa, Denise | - |
| dc.date.accessioned | 2026-04-03T10:58:48Z | - |
| dc.date.available | 2026-04-03T10:58:48Z | - |
| dc.date.issued | 2026-08-21 | - |
| dc.identifier | ORCiD: Cristina Pina https://orcid.org/0000-0002-2575-6301 | - |
| dc.identifier | ORCiD: Denise Ragusa https://orcid.org/0000-0002-0303-8683 | - |
| dc.identifier.citation | Johns, A., Pina, C. and Ragusa, D. (2026) 'Cell-of-origin Discovery in Infant Leukemia through Integration of 3D Models and Patient Transcriptomic Data', Journal of Visualized Experiments, (234), e70278, pp. 1–20. doi: 10.3791/70278. | en-US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/33103 | - |
| dc.description | Summary: This protocol aims to explore the cellular composition and temporal placement of candidate cell-of-origin for leukemias that arise in utero by integrating single-cell and/or bulk RNA sequencing from hemogenic gastruloids with patient data. | en-US |
| dc.description.abstract | Pediatric hematological malignancies remain challenging to investigate and model due to the age group-specificity of certain genetic abnormalities. In utero origin has been demonstrated for a subset of pediatric leukemias, placing their respective cell of origin (CoO) during embryonic development. We recently reported a 3D hemogenic gastruloid (haemGx) model of embryonic blood formation derived from mouse embryonic stem cells, resolving the spatio-temporal complexity of developmental hematopoiesis. Importantly, it allows genetic engineering to introduce disease-relevant mutations. Using haemGx, we modeled the most common acute myeloid leukemia exclusive to infants (infAML), subtype t(7;12)(q36;p13), which arises in utero and is characterized by MNX1 overexpression. Here, we detail a method to define susceptibility to specific mutations that integrate phenotypic and transcriptional changes in the haemGx system and compares them with patient data. By proxy of our MNX1-overexpression haemGx, we show a pipeline from cell engineering to downstream analyses of leukemogenic potential. In particular, we focus on the clinical relevance of the model by integrating single-cell and/or bulk RNA sequencing from the haemGx platform with patient data to extract cellular composition and temporal placement of the putative CoO. This method is adaptable to the introduction of other oncogenic mutations, chromosomal rearrangements, or epigenetic modifications, as well as to chemical perturbations, including drug vulnerability and growth factor dependence. This flexibility allows for broad application across diverse disease contexts, enabling mechanistic dissection of how specific alterations disrupt early developmental trajectories with clinical relevance. | en-US |
| dc.description.sponsorship | DR was funded by the Little Princess Trust through the Children’s Cancer and Leukaemia Group CCLGA (CCLGA 2023 22 Pina) to CP, and NC3Rs - National Centre for Replacement, Reduction and Refinement of Animals in Research (NC/Z500677/1) to CP and Victor Hernandez-Hernandez. DR is the recipient of a European Hematology Association (EHA)-EMBL/EBI Computational Biology Training in Hematology (CBTH) award (CBTH39). AJ is funded by a Lady Tata Memorial Trust Scholarship (2022-2025) and Brunel University of London. | en-US |
| dc.format.extent | pp. 1–20 | - |
| dc.format.medium | Electronic | - |
| dc.language.iso | en | en-US |
| dc.publisher | MyJove Corporation | en-US |
| dc.rights | Re-use licence for this version: CC BY | - |
| dc.rights | Licence for published version: Publisher's licence | - |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
| dc.subject | 3D hemogenic gastruloid | en-US |
| dc.subject | Embryonic hematopoiesis | en-US |
| dc.subject | MNX1 overexpression | en-US |
| dc.subject | Acute myeloid leukemia | en-US |
| dc.subject | Single cell RNA sequencing | en-US |
| dc.subject | Genetic engineering | en-US |
| dc.subject | Chromosomal rearrangements | en-US |
| dc.title | Cell-of-origin Discovery in Infant Leukemia through Integration of 3D Models and Patient Transcriptomic Data | en-US |
| dc.type | Article | en-US |
| dc.identifier.doi | https://doi.org/10.3791/70278 | - |
| dc.relation.isPartOf | Journal of Visualized Experiments | - |
| pubs.publication-status | Published online | - |
| dc.identifier.eissn | 1940-087X | - |
| dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
| dc.rights.holder | The Author(s) | - |
| dc.contributor.orcid | Pina, Cristina [0000-0002-2575-6301] | - |
| dc.contributor.orcid | Ragusa, Denise [0000-0002-0303-8683] | - |
| Appears in Collections: | Department of Biosciences Research Papers * | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2026 The Author(s). Published by MyJoVE Corporation. A CC BY licence is applied to the accepted manuscript arising from this submission, in accordance with the grant’s open access conditions (https://creativecommons.org/licenses/by/4.0/). Reprints and Permissions Request permission to reuse the text or figures of this JoVE article via https://www.jove.com/reprint-permissions/70278 . | 425.8 kB | Adobe PDF | View/Open |
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