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Verfasst von:Doumic, Marie [VerfasserIn]   i
 Marciniak-Czochra, Anna [VerfasserIn]   i
Titel:A structured population model of cell differentiation
Verf.angabe:Marie Doumic, Anna Marciniak-Czochra, Benoît Perthame, and Jorge P. Zubelli
Umfang:23 S.
Fussnoten:Published electronically November 15, 2011 ; Gesehen am 28.06.2018
Titel Quelle:Enthalten in: Society for Industrial and Applied Mathematics: SIAM journal on applied mathematics
Jahr Quelle:2011
Band/Heft Quelle:71(2011), 6, S. 1918-1940
ISSN Quelle:1095-712X
Abstract: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.
DOI:doi:10.1137/100816584
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Verlag: http://dx.doi.org/10.1137/100816584
 Verlag: https://epubs.siam.org/doi/abs/10.1137/100816584
 DOI: https://doi.org/10.1137/100816584
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1577018028
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