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A 3D iPSC-differentiation model identifies interleukin-3 as a regulator of early human hematopoietic specification.

Mania Ackermann | Kathrin Haake | Henning Kempf | Paul Kaschutnig | Anna-Carina Weiss | Ariane H H Nguyen | Markus Abeln | Sylvia Merkert | Mark Phillip Kühnel | Dorothee Hartmann | Danny Jonigk | Thomas Thum | Andreas Kispert | Michael D Milsom | Nico Lachmann
Haematologica | 2021

Hematopoietic development is spatiotemporally tightly regulated by defined cell-intrinsic and extrinsic modifiers. The role of cytokines has been intensively studied in adult hematopoiesis; however, their role in embryonic hematopoietic specification remains largely unexplored. Here, we used induced pluripotent stem cell (iPSC) technology and established a 3-dimensional, organoid-like differentiation system (hemanoid) maintaining the structural cellular integrity to evaluate the effect of cytokines on embryonic hematopoietic development. We show, that defined stages of early human hematopoietic development were recapitulated within the generated hemanoids. We identified KDR+/CD34high/CD144+/CD43-/CD45- hemato-endothelial progenitor cells (HEPs) forming organized, vasculature-like structures and giving rise to CD34low/CD144-/CD43+/CD45+ hematopoietic progenitor cells. We demonstrate that the endothelial to hematopoietic transition of HEPs is dependent on the presence of interleukin 3 (IL-3). Inhibition of IL-3 signalling blocked hematopoietic differentiation and arrested the cells in the HEP stage. Thus, our data suggest an important role for IL-3 in early human hematopoiesis by supporting the endothelial to hematopoietic transition of hemato-endothelial progenitor cells and highlight the potential of a hemanoid-based model to study human hematopoietic development.

Pubmed ID: 32327499

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Associated grants

  • Agency: European Research Council, International
    Id: 852178

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Enrichr (tool)

RRID:SCR_001575

A web-based gene list enrichment analysis tool that provides various types of visualization summaries of collective functions of gene lists. It includes new gene-set libraries, an alternative approach to rank enriched terms, and various interactive visualization approaches to display enrichment results using the JavaScript library, Data Driven Documents (D3). The software can also be embedded into any tool that performs gene list analysis. System-wide profiling of genes and proteins in mammalian cells produce lists of differentially expressed genes / proteins that need to be further analyzed for their collective functions in order to extract new knowledge. Once unbiased lists of genes or proteins are generated from such experiments, these lists are used as input for computing enrichment with existing lists created from prior knowledge organized into gene-set libraries.

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Gene Set Enrichment Analysis (tool)

RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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