4.2 Article

Paracrine mechanisms in early differentiation of human pluripotent stem cells: Insights from a mathematical model

Journal

STEM CELL RESEARCH
Volume 32, Issue -, Pages 1-7

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scr.2018.07.025

Keywords

Human pluripotent stem cells; Paracrine effects; Differentiation; Primitive streak; Mathematical modeling

Funding

  1. TECHNOBEAT (European Union H2020 grant) [668724]
  2. Joachim Herz Stiftung
  3. MHH Hannover (HiLF grant)
  4. Open Access Publication Funds of the SLUB/TU Dresden
  5. H2020 Societal Challenges Programme [668724] Funding Source: H2020 Societal Challenges Programme

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With their capability to self-renew and differentiate into derivatives of all three germ layers, human pluripotent stem cells (hPSCs) offer a unique model to study aspects of human development in vitro. Directed differentiation towards mesendodermal lineages is a complex process, involving transition through a primitive streak (PS)-like stage. We have recently shown PS-like patterning from hPSCs into definitive endoderm, cardiac as well as presomitic mesoderm by only modulating the bulk cell density and the concentration of the GSK3 inhibitor CHIR99021, a potent activator of the WNT pathway. The patterning process is modulated by a complex paracrine network, whose identity and mechanistic consequences are poorly understood. To study the underlying dynamics, we here applied mathematical modeling based on ordinary differential equations. We compared time-course data of early hPSC differentiation to increasingly complex model structures with incremental numbers of paracrine factors. Model simulations suggest at least three paracrine factors being required to recapitulate the experimentally observed differentiation kinetics. Feedback mechanisms from both undifferentiated and differentiated cells turned out to be crucial. Evidence from double knock-down experiments and secreted protein enrichment allowed us to hypothesize on the identity of two of the three predicted factors. From a practical perspective, the mathematical model predicts optimal settings for directing lineage-specific differentiation. This opens new avenues for rational stem cell bioprocessing in more advanced culture systems, e.g. in perfusion-fed bioreactors enabling cell therapies.

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