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对细胞群的噪声定向迁移中的信号中继进行建模和测量。

Modeling and measuring signal relay in noisy directed migration of cell groups.

机构信息

Department of Physics, University of Maryland, College Park, Maryland, USA.

出版信息

PLoS Comput Biol. 2013;9(5):e1003041. doi: 10.1371/journal.pcbi.1003041. Epub 2013 May 2.

Abstract

We develop a coarse-grained stochastic model for the influence of signal relay on the collective behavior of migrating Dictyostelium discoideum cells. In the experiment, cells display a range of collective migration patterns, including uncorrelated motion, formation of partially localized streams, and clumping, depending on the type of cell and the strength of the external, linear concentration gradient of the signaling molecule cyclic adenosine monophosphate (cAMP). From our model, we find that the pattern of migration can be quantitatively described by the competition of two processes, the secretion rate of cAMP by the cells and the degradation rate of cAMP in the gradient chamber. Model simulations are compared to experiments for a wide range of strengths of an external linear-gradient signal. With degradation, the model secreting cells form streams and efficiently transverse the gradient, but without degradation, we find that model secreting cells form clumps without streaming. This indicates that the observed effective collective migration in streams requires not only signal relay but also degradation of the signal. In addition, our model allows us to detect and quantify precursors of correlated motion, even when cells do not exhibit obvious streaming.

摘要

我们开发了一种粗粒化随机模型,用于研究信号中继对迁移盘基网柄菌细胞集体行为的影响。在实验中,细胞表现出一系列的集体迁移模式,包括不相关的运动、部分局部化流的形成和聚集,这取决于细胞的类型和外部线性浓度梯度的信号分子环腺苷酸(cAMP)的强度。从我们的模型中,我们发现迁移模式可以通过两个过程的竞争来定量描述,即细胞分泌 cAMP 的速率和梯度室中 cAMP 的降解速率。我们将模型模拟与广泛的外部线性梯度信号强度的实验进行了比较。随着降解,分泌细胞的模型形成流并有效地穿过梯度,但没有降解,我们发现分泌细胞的模型形成聚集而没有流。这表明观察到的有效的集体迁移流不仅需要信号中继,还需要信号的降解。此外,我们的模型还允许我们检测和量化相关运动的前体,即使细胞没有表现出明显的流动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae6/3642071/00578600d7aa/pcbi.1003041.g001.jpg

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