A structured population model of cell differentiation
We introduce and analyze several aspects of a new model for cell differentiation. It assumes that differentiation of progenitor cells is a continuous process. From the mathematical point of view, it is based on partial differential equations of transport type. Specifically, it consists of a structur...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2011
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| In: |
SIAM journal on applied mathematics
Year: 2011, Volume: 71, Issue: 6, Pages: 1918-1940 |
| ISSN: | 1095-712X |
| DOI: | 10.1137/100816584 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1137/100816584 Verlag, Volltext: https://epubs.siam.org/doi/abs/10.1137/100816584 
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| Author Notes: | Marie Doumic, Anna Marciniak-Czochra, Benoît Perthame, and Jorge P. Zubelli |
| Summary: | We introduce and analyze several aspects of a new model for cell differentiation. It assumes that differentiation of progenitor cells is a continuous process. From the mathematical point of view, it is based on partial differential equations of transport type. Specifically, it consists of a structured population equation with a nonlinear feedback loop. This models the signaling process due to cytokines, which regulate the differentiation and proliferation process. We compare the continuous model to its discrete counterpart, a multicompartmental model of a discrete collection of cell subpopulations recently proposed by Marciniak-Czochra et al. [Stem Cells Dev., 18 (2009), pp. 377-386] to investigate the dynamics of the hematopoietic system. We obtain uniform bounds for the solutions, characterize steady state solutions, and analyze their linearized stability. We show how persistence or extinction might occur according to values of parameters that characterize the stem cells' self-renewal. We also perform numerical simulations and discuss the qualitative behavior of the continuous model vis à vis the discrete one. |
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| Item Description: | Published electronically November 15, 2011 Gesehen am 28.06.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1095-712X |
| DOI: | 10.1137/100816584 |