Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/39247
Title: Emergent stem cell homeostasis in the C. elegans germline is revealed by hybrid modeling.
Authors: Hall, B. A.
Piterman, Nir
Hajnal, A.
Fisher, J.
First Published: 21-Jul-2015
Publisher: Biophysical Society , Elsevier (Cell Press)
Citation: Biophysical Journal, 2015, 109 (2), pp. 428-438
Abstract: The establishment of homeostasis among cell growth, differentiation, and apoptosis is of key importance for organogenesis. Stem cells respond to temporally and spatially regulated signals by switching from mitotic proliferation to asymmetric cell division and differentiation. Executable computer models of signaling pathways can accurately reproduce a wide range of biological phenomena by reducing detailed chemical kinetics to a discrete, finite form. Moreover, coordinated cell movements and physical cell-cell interactions are required for the formation of three-dimensional structures that are the building blocks of organs. To capture all these aspects, we have developed a hybrid executable/physical model describing stem cell proliferation, differentiation, and homeostasis in the Caenorhabditis elegans germline. Using this hybrid model, we are able to track cell lineages and dynamic cell movements during germ cell differentiation. We further show how apoptosis regulates germ cell homeostasis in the gonad, and propose a role for intercellular pressure in developmental control. Finally, we use the model to demonstrate how an executable model can be developed from the hybrid system, identifying a mechanism that ensures invariance in fate patterns in the presence of instability.
DOI Link: 10.1016/j.bpj.2015.06.007
ISSN: 0006-3495
eISSN: 1542-0086
Links: http://www.sciencedirect.com/science/article/pii/S0006349515005895
http://hdl.handle.net/2381/39247
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Description: One figure and two movies are available at http://www.biophysj.org/biophysj/supplemental/S0006-3495(15)00589-5.
Appears in Collections:Published Articles, Dept. of Computer Science

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