Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/86484
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Type: | Journal article |
Title: | Cell lineage tracing in the developing enteric nervous system: superstars revealed by experiment and simulation |
Author: | Cheeseman, B. Zhang, D. Binder, B. Newgreen, D. Landman, K. |
Citation: | Journal of the Royal Society Interface, 2014; 11(93):20130815-1-20130815-14 |
Publisher: | Royal Society Publishing |
Issue Date: | 2014 |
ISSN: | 1742-5689 1742-5662 |
Statement of Responsibility: | Bevan L. Cheeseman, Dongcheng Zhang, Benjamin J. Binder, Donald F. Newgreen and Kerry A. Landman |
Abstract: | Cell lineage tracing is a powerful tool for understanding how proliferation and differentiation of individual cells contribute to population behaviour. In the developing enteric nervous system (ENS), enteric neural crest (ENC) cells move and undergo massive population expansion by cell division within self-growing mesenchymal tissue. We show that single ENC cells labelled to follow clonality in the intestine reveal extraordinary and unpredictable variation in number and position of descendant cells, even though ENS development is highly predictable at the population level. We use an agent-based model to simulate ENC colonization and obtain agent lineage tracing data, which we analyse using econometric data analysis tools. In all realizations, a small proportion of identical initial agents accounts for a substantial proportion of the total final agent population. We term these individuals superstars. Their existence is consistent across individual realizations and is robust to changes in model parameters. This inequality of outcome is amplified at elevated proliferation rate. The experiments and model suggest that stochastic competition for resources is an important concept when understanding biological processes which feature high levels of cell proliferation. The results have implications for cell-fate processes in the ENS. |
Keywords: | Cell lineage; invasion wave; enteric nervous system; cell-fate decisions |
Rights: | © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited. |
DOI: | 10.1098/rsif.2013.0815 |
Grant ID: | ARC NHMRC |
Published version: | http://dx.doi.org/10.1098/rsif.2013.0815 |
Appears in Collections: | Aurora harvest 2 Mathematical Sciences publications |
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hdl_86484.pdf | Published version | 3.37 MB | Adobe PDF | View/Open |
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