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细胞表面结合的非受体与信号形态发生素梯度

Cell-Surface Bound Nonreceptors and Signaling Morphogen Gradients.

作者信息

Wan Frederic Y M

机构信息

Department of Mathematics Irvine, CA 92697-3875.

出版信息

Stud Appl Math. 2014 Aug 1;133(2):151-181. doi: 10.1111/sapm.12030.

Abstract

The patterning of many developing tissues is orchestrated by gradients of signaling morphogens. Included among the molecular events that drive the formation of morphogen gradients are a variety of elaborate regulatory interactions. Such interactions are thought to make gradients robust, i.e. insensitive to change in the face of genetic or environmental perturbations. But just how this is accomplished is a major unanswered question. Recently extensive numerical simulations suggest that robustness of signaling gradients can be achieved through morphogen degradation mediated by cell surface bound non-signaling receptor molecules (or for short) such as heparan sulfate proteoglycans (HSPG). The present paper provides a mathematical validation of the results from the aforementioned numerical experiments. Extension of a basic extracellular model to include reversible binding with nonreceptors synthesized at a prescribed rate and mediated morphogen degradation shows that the signaling gradient diminishes with increasing concentration of cell-surface nonreceptors. Perturbation and asymptotic solutions obtained for i) low (receptor and nonreceptor) occupancy, and ii) high nonreceptor concntration permit more explicit delineation of the effects of nonreceptors on signaling gradients and facilitate the identification of scenarios in which the presence of nonreceptors may or may not be effective in promoting robustness.

摘要

许多发育中组织的模式形成是由信号形态发生素的梯度精心编排的。驱动形态发生素梯度形成的分子事件包括各种复杂的调节相互作用。这些相互作用被认为能使梯度稳健,即在面对遗传或环境扰动时对变化不敏感。但这究竟是如何实现的仍是一个主要的未解决问题。最近广泛的数值模拟表明,信号梯度的稳健性可以通过细胞表面结合的非信号受体分子(简称NSR)介导的形态发生素降解来实现,比如硫酸乙酰肝素蛋白聚糖(HSPG)。本文对上述数值实验的结果进行了数学验证。将一个基本的细胞外模型扩展,以包括与以规定速率合成的非受体的可逆结合以及介导的形态发生素降解,结果表明信号梯度会随着细胞表面非受体浓度的增加而减小。针对i)低(受体和非受体)占有率和ii)高非受体浓度获得的扰动和渐近解,能更明确地描述非受体对信号梯度的影响,并有助于确定非受体的存在可能有效或可能无效促进稳健性的情形。

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