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一种用于中性粒细胞梯度感知和极化的数学模型。

A mathematical model for neutrophil gradient sensing and polarization.

作者信息

Onsum Matthew, Rao Christopher V

机构信息

AstraZeneca R&D Boston, Waltham, Massachusetts, United States of America.

出版信息

PLoS Comput Biol. 2007 Mar 16;3(3):e36. doi: 10.1371/journal.pcbi.0030036. Epub 2007 Jan 9.

DOI:10.1371/journal.pcbi.0030036
PMID:17367201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1828701/
Abstract

Directed cell migration in response to chemical cues, also known as chemotaxis, is an important physiological process involved in wound healing, foraging, and the immune response. Cell migration requires the simultaneous formation of actin polymers at the leading edge and actomyosin complexes at the sides and back of the cell. An unresolved question in eukaryotic chemotaxis is how the same chemoattractant signal determines both the cell's front and back. Recent experimental studies have begun to reveal the biochemical mechanisms necessary for this polarized cellular response. We propose a mathematical model of neutrophil gradient sensing and polarization based on experimentally characterized biochemical mechanisms. The model demonstrates that the known dynamics for Rho GTPase and phosphatidylinositol-3-kinase (PI3K) activation are sufficient for both gradient sensing and polarization. In particular, the model demonstrates that these mechanisms can correctly localize the "front" and "rear" pathways in response to both uniform concentrations and gradients of chemical attractants, including in actin-inhibited cells. Furthermore, the model predictions are robust to the values of many parameters. A key result of the model is the proposed coincidence circuit involving PI3K and Ras that obviates the need for the "global inhibitors" proposed, though never experimentally verified, in many previous mathematical models of eukaryotic chemotaxis. Finally, experiments are proposed to (in)validate this model and further our understanding of neutrophil chemotaxis.

摘要

细胞响应化学信号的定向迁移,也称为趋化作用,是一个重要的生理过程,涉及伤口愈合、觅食和免疫反应。细胞迁移需要在细胞前缘同时形成肌动蛋白聚合物,并在细胞侧面和后部形成肌动球蛋白复合物。真核生物趋化作用中一个尚未解决的问题是,相同的趋化因子信号如何同时决定细胞的前端和后端。最近的实验研究已经开始揭示这种极化细胞反应所需的生化机制。我们基于实验表征的生化机制,提出了一个中性粒细胞梯度感知和极化的数学模型。该模型表明,已知的Rho GTP酶和磷脂酰肌醇-3-激酶(PI3K)激活动力学足以实现梯度感知和极化。特别是,该模型表明,这些机制能够在响应化学引诱剂的均匀浓度和梯度时,包括在肌动蛋白抑制的细胞中,正确定位“前端”和“后端”信号通路。此外,模型预测对许多参数的值具有鲁棒性。该模型的一个关键结果是提出了涉及PI3K和Ras的重合电路,这消除了许多先前真核生物趋化作用数学模型中提出但从未经过实验验证的“全局抑制剂”的需求。最后,我们提出了实验来验证该模型,并进一步加深我们对中性粒细胞趋化作用的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/8febc52336c2/pcbi.0030036.g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/bcf19409da46/pcbi.0030036.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/b0ddc3fe604d/pcbi.0030036.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/37960504514c/pcbi.0030036.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/c4c8d2d828c6/pcbi.0030036.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/f03b333e66ed/pcbi.0030036.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/b0c136f8bf17/pcbi.0030036.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/1fd6a8a3207c/pcbi.0030036.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/2c6bb810a78c/pcbi.0030036.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/289e795f0add/pcbi.0030036.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/606a8f74c54e/pcbi.0030036.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/038ceafb8179/pcbi.0030036.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/4943b61f549d/pcbi.0030036.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/fcbe71ba2e15/pcbi.0030036.g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/8febc52336c2/pcbi.0030036.g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/bcf19409da46/pcbi.0030036.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/b0ddc3fe604d/pcbi.0030036.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/37960504514c/pcbi.0030036.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/c4c8d2d828c6/pcbi.0030036.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/f03b333e66ed/pcbi.0030036.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/b0c136f8bf17/pcbi.0030036.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/1fd6a8a3207c/pcbi.0030036.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/2c6bb810a78c/pcbi.0030036.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/289e795f0add/pcbi.0030036.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/606a8f74c54e/pcbi.0030036.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/038ceafb8179/pcbi.0030036.g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/4943b61f549d/pcbi.0030036.g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/fcbe71ba2e15/pcbi.0030036.g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5c0/1847986/8febc52336c2/pcbi.0030036.g014.jpg

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