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基于合成空间梯度 Rac 激活的细胞极化建模。

Modelling cell polarization driven by synthetic spatially graded Rac activation.

机构信息

Department of Mathematics, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

PLoS Comput Biol. 2012;8(6):e1002366. doi: 10.1371/journal.pcbi.1002366. Epub 2012 Jun 21.

DOI:10.1371/journal.pcbi.1002366
PMID:22737059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3380869/
Abstract

The small GTPase Rac is known to be an important regulator of cell polarization, cytoskeletal reorganization, and motility of mammalian cells. In recent microfluidic experiments, HeLa cells endowed with appropriate constructs were subjected to gradients of the small molecule rapamycin leading to synthetic membrane recruitment of a Rac activator and direct graded activation of membrane-associated Rac. Rac activation could thus be triggered independent of upstream signaling mechanisms otherwise responsible for transducing activating gradient signals. The response of the cells to such stimulation depended on exceeding a threshold of activated Rac. Here we develop a minimal reaction-diffusion model for the GTPase network alone and for GTPase-phosphoinositide crosstalk that is consistent with experimental observations for the polarization of the cells. The modeling suggests that mutual inhibition is a more likely mode of cell polarization than positive feedback of Rac onto its own activation. We use a new analytical tool, Local Perturbation Analysis, to approximate the partial differential equations by ordinary differential equations for local and global variables. This method helps to analyze the parameter space and behaviour of the proposed models. The models and experiments suggest that (1) spatially uniform stimulation serves to sensitize a cell to applied gradients. (2) Feedback between phosphoinositides and Rho GTPases sensitizes a cell. (3) Cell lengthening/flattening accompanying polarization can increase the sensitivity of a cell and stabilize an otherwise unstable polarization.

摘要

小分子 GTPase Rac 是众所周知的细胞极化、细胞骨架重组和哺乳动物细胞运动的重要调节因子。在最近的微流控实验中,HeLa 细胞被赋予适当的构建体,然后受到小分子雷帕霉素梯度的影响,导致 Rac 激活剂的合成膜募集和膜相关 Rac 的直接分级激活。因此,Rac 的激活可以独立于负责转导激活梯度信号的上游信号机制来触发。细胞对这种刺激的反应取决于激活 Rac 超过阈值。在这里,我们开发了一个仅用于 GTPase 网络的最小反应扩散模型,以及用于 GTPase-磷酯酰肌醇相互作用的最小反应扩散模型,该模型与细胞极化的实验观察结果一致。建模表明,相互抑制是细胞极化的一种更可能的模式,而 Rac 对自身激活的正反馈则不太可能。我们使用一种新的分析工具,局部摄动分析,将偏微分方程近似为局部和全局变量的常微分方程。该方法有助于分析所提出模型的参数空间和行为。模型和实验表明:(1)空间均匀刺激有助于细胞对施加的梯度敏感化。(2)磷酯酰肌醇和 Rho GTPase 之间的反馈使细胞敏感化。(3)伴随极化的细胞伸长/变平可以增加细胞的敏感性,并稳定否则不稳定的极化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/b75dab03349d/pcbi.1002366.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/f10103b324d2/pcbi.1002366.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/2dfd1a7bce56/pcbi.1002366.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/fe3be9920873/pcbi.1002366.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/19b2fc4bc721/pcbi.1002366.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/51e1e74e17c2/pcbi.1002366.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/2b8a91760455/pcbi.1002366.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/119e52f17101/pcbi.1002366.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/a5015079f876/pcbi.1002366.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/b75dab03349d/pcbi.1002366.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/f10103b324d2/pcbi.1002366.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/2dfd1a7bce56/pcbi.1002366.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/fe3be9920873/pcbi.1002366.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/19b2fc4bc721/pcbi.1002366.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/51e1e74e17c2/pcbi.1002366.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/2b8a91760455/pcbi.1002366.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/119e52f17101/pcbi.1002366.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/a5015079f876/pcbi.1002366.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfba/3380869/b75dab03349d/pcbi.1002366.g009.jpg

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