Repulsive expansion dynamics in colony growth and gene expression.
Repulsive expansion dynamics in colony growth and gene expression.
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群体生长和基因表达中的排斥性扩张动力学。
DOI:
10.1371/journal.pcbi.1008168
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发表时间:
2021-03
影响因子:
4.3
通讯作者:
You L
中科院分区:
文献类型:
--
作者:
Cao Y;Neu J;Blanchard AE;Lu T;You L
Spatial expansion of a population of cells can arise from growth of microorganisms, plant cells, and mammalian cells. It underlies normal or dysfunctional tissue development, and it can be exploited as the foundation for programming spatial patterns. This expansion is often driven by continuous growth and division of cells within a colony, which in turn pushes the peripheral cells outward. This process generates a repulsion velocity field at each location within the colony. Here we show that this process can be approximated as coarse-grained repulsive-expansion kinetics. This framework enables accurate and efficient simulation of growth and gene expression dynamics in radially symmetric colonies with homogenous z-directional distribution. It is robust even if cells are not spherical and vary in size. The simplicity of the resulting mathematical framework also greatly facilitates generation of mechanistic insights. Spatiotemporal dynamics are ubiquitous in biology. To understand these phenomena in nature or to program them using synthetic gene circuits, it is critical to resort to mathematical modeling to deduce mechanistic insights or to explore plausible outcomes. Historically, modeling of spatiotemporal dynamics depends on the use of agent-based models or their continuum counterparts consisting of partial differential equations. Here, we show that a class of colony expansion can be treated as being driven by the steric force generated by growing and diving cells. This approximation leads to a drastically simplified framework consisting of only ordinary differential equations. This framework greatly improves the computational efficiency and facilitates development of mechanistic insights into the dynamics of colony growth and pattern formation.
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影响因子:
4.7
作者:
Katira P;Bonnecaze RT;Zaman MH
通讯作者:
Zaman MH
影响因子:
64.5
作者:
Cao Y;Ryser MD;Payne S;Li B;Rao CV;You L
通讯作者:
You L
影响因子:
1.9
作者:
Byrne, HM
通讯作者:
Byrne, HM
DOI:
10.1126/science.1171643
发表时间:
2009-06-26
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Discher DE;Mooney DJ;Zandstra PW
通讯作者:
Zandstra PW
影响因子:
--
作者:
Blanchard AE;Lu T
通讯作者:
Lu T