Cell–cell interaction networks regulate blood stem and progenitor cell fate |
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Authors: | Daniel C Kirouac Gerard J Madlambayan Mei Yu Edward A Sykes Caryn Ito Peter W Zandstra |
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Affiliation: | 1. Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada;2. Program in Stem Cell Biology and Regenerative Medicine, College of Medicine, University of Florida, FL, USA;3. Insception Biosciences, Mississauga, Ontario, Canada;4. Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada;5. Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada;6. Heart and Stroke/Richard Lewar Centre of Excellence, McEwen Centre for Regenerative Medicine, University Health Network, Toronto Medical Discovery Tower, Toronto, Ontario, Canada |
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Abstract: | ![]() Communication networks between cells and tissues are necessary for homeostasis in multicellular organisms. Intercellular (between cell) communication networks are particularly relevant in stem cell biology, as stem cell fate decisions (self‐renewal, proliferation, lineage specification) are tightly regulated based on physiological demand. We have developed a novel mathematical model of blood stem cell development incorporating cell‐level kinetic parameters as functions of secreted molecule‐mediated intercellular networks. By relation to quantitative cellular assays, our model is capable of predictively simulating many disparate features of both normal and malignant hematopoiesis, relating internal parameters and microenvironmental variables to measurable cell fate outcomes. Through integrated in silico and experimental analyses, we show that blood stem and progenitor cell fate is regulated by cell–cell feedback, and can be controlled non‐cell autonomously by dynamically perturbing intercellular signalling. We extend this concept by demonstrating that variability in the secretion rates of the intercellular regulators is sufficient to explain heterogeneity in culture outputs, and that loss of responsiveness to cell–cell feedback signalling is both necessary and sufficient to induce leukemic transformation in silico. |
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Keywords: | cell culture cellular networks hematopoiesis modelling stem cells |
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