Journal
JOURNAL OF THEORETICAL BIOLOGY
Volume 300, Issue -, Pages 118-133Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2012.01.021
Keywords
Crypt; Stem cells; Monoclonal conversion; Cancer
Categories
Funding
- Integrative Biology programme [GR/572023/01]
- OCISB [BB/D020190/1]
- EPRSC [EP/1017909/1]
- Microsoft Research, Cambridge
- BBSRC [BB/D020190/1] Funding Source: UKRI
- EPSRC [EP/I017909/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/D020190/1] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/I017909/1] Funding Source: researchfish
Ask authors/readers for more resources
A novel spatial multiscale model of a colonic crypt is described, which couples the cell cycle (including cell division) with the mechanics of cell movement. The model is used to investigate the process of monoclonal conversion under two hypotheses concerning stem cell behavior. Under the first hypothesis, 'stem-ness' is an intrinsic cell property, and the stem cell population is maintained through asymmetric division. Under the second hypothesis, the proliferative behavior of each cell is governed by its microenvironment through a biochemical signalling cue, and all cell division is symmetric. Under each hypothesis, the model is used to run virtual experiments, in which a harmless labeling mutation is bestowed upon a single cell in the crypt and the mutant clonal population is tracked over time to check if and when the crypt becomes monoclonal. It is shown that under the first hypothesis, a stable structured cell population is not possible without some form of population-dependent feedback; in contrast, under the second hypothesis, a stable crypt architecture arises naturally. Through comparison with an existing spatial crypt model and a non-spatial stochastic population model, it is shown that the spatial structure of the crypt has a significant effect on the time scale over which a crypt becomes monoclonal. (C) 2012 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available