title: Asymmetry of stem cell fate and the potential impact of the niche: observations, simulations, and interpretations.
abstract: Asymmetric cell division is a common concept to explain the capability of stem cells to simultaneously produce a continuous output of differentiated cells and to maintain their own population of undifferentiated cells. Whereas for some stem cell systems, an asymmetry in the division process has explicitly been demonstrated, no evidence for such a functional asymmetry has been shown for hematopoietic stem cells (HSC) so far. This raises the question regarding whether asymmetry of cell division is a prerequisite to explain obvious heterogeneity in the cellular fate of HSC. Through the application of a mathematical model based on self-organizing principles, we demonstrate that the assumption of asymmetric stem cell division is not necessary to provide a consistent account for experimentally observed asymmetries in the development of HSC. Our simulation results show that asymmetric cell fate can alternatively be explained by a reversible expression of functional stem cell potentials, controlled by changing cell-cell and cell-microenvironment interactions. The proposed view on stem cell organization is pointing to the potential role of stem cell niches as specific signaling environments, which induce developmental asymmetries and therefore, generate cell fate heterogeneity. The self-organizing concept is fully consistent with the functional definition of tissue stem cells. It naturally includes plasticity phenomena without contradicting a hierarchical appearance of the stem cell population. The concept implies that stem cell fate is only predictable in a probabilistic sense and that retrospective categorization of stem cell potential, based on individual cellular fates, provides an incomplete picture.
authors.affiliation: Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig. ingo.roeder@imise.uni-leipzig.de
authors.forename: Ingo
authors.initials: I
authors.lastname: Roeder
authors.forename: Ronny
authors.initials: R
authors.lastname: Lorenz
mesh_terms: D000818:Animals; D002454:Cell Differentiation; D002455:Cell Division; D019070:Cell Lineage; D003198:Computer Simulation; D006801:Humans; D013234:Stem Cells / Q000166:cytology*