Balancing reaction-diffusion network for cell polarization pattern with stability and asymmetry.

IF 6.4 1区 生物学 Q1 BIOLOGY
eLife Pub Date : 2025-07-22 DOI:10.7554/eLife.96421
Yixuan Chen, Guoye Guan, Lei-Han Tang, Chao Tang
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引用次数: 0

Abstract

Cell polarization is a critical process that separates molecular species into two distinct regions in prokaryotic and eukaryotic cells, guiding biological processes such as cell division and cell differentiation. Although several underlying antagonistic reaction-diffusion networks capable of setting up cell polarization have been identified experimentally and theoretically, our understanding of how to manipulate pattern stability and asymmetry remains incomplete, especially when only a subset of network components is known. Here, we present numerical results to show that the polarized pattern of an antagonistic 2-node network collapses into a homogeneous state when subjected to single-sided self-regulation, single-sided additional regulation, or unequal system parameters. However, polarity restoration can be achieved by combining two modifications with opposing effects. Additionally, spatially inhomogeneous parameters favoring respective domains stabilize their interface at designated locations. To connect our findings to cell polarity studies of the nematode Caenorhabditis elegans zygote, we reconstituted a 5-node network where a 4-node circuit with full mutual inhibitions between anterior and posterior is modified by a mutual activation in the anterior and an additional mutual inhibition between the anterior and posterior. Once again, a generic set of kinetic parameters moves the interface towards either the anterior or posterior end, yet a polarized pattern can be stabilized through tuning of one or more parameters coupled to intracellular or extracellular spatial cues. A user-friendly software, PolarSim, is constructed to facilitate the exploration of networks with alternative node numbers, parameter values, and regulatory pathways.

平衡具有稳定性和不对称性的细胞极化模式的反应扩散网络。
细胞极化是原核和真核细胞中将分子物种划分为两个不同区域的关键过程,它指导着细胞分裂和分化等生物学过程。虽然几个潜在的拮抗反应-扩散网络能够建立细胞极化已经被实验和理论上确定,我们对如何操纵模式稳定性和不对称性的理解仍然不完整,特别是当只有一个子集的网络组件是已知的。在这里,我们给出的数值结果表明,当受到单侧自我调节、单侧附加调节或不相等系统参数时,对抗性2节点网络的极化模式会崩溃为均匀状态。然而,极性恢复可以通过结合两种相反效果的修饰来实现。此外,有利于各自域的空间非均匀参数在指定位置稳定其界面。为了将我们的研究结果与秀丽隐杆线虫受精卵的细胞极性研究联系起来,我们重建了一个5节点网络,其中具有前后完全相互抑制的4节点电路通过前部的相互激活和前后之间的额外相互抑制来修改。同样,一组通用的动力学参数将界面移动到前端或后端,然而,极化模式可以通过调整一个或多个与细胞内或细胞外空间信号耦合的参数来稳定。构建了一个用户友好的软件PolarSim,以方便探索具有替代节点数,参数值和调节路径的网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
eLife
eLife BIOLOGY-
CiteScore
12.90
自引率
3.90%
发文量
3122
审稿时长
17 weeks
期刊介绍: eLife is a distinguished, not-for-profit, peer-reviewed open access scientific journal that specializes in the fields of biomedical and life sciences. eLife is known for its selective publication process, which includes a variety of article types such as: Research Articles: Detailed reports of original research findings. Short Reports: Concise presentations of significant findings that do not warrant a full-length research article. Tools and Resources: Descriptions of new tools, technologies, or resources that facilitate scientific research. Research Advances: Brief reports on significant scientific advancements that have immediate implications for the field. Scientific Correspondence: Short communications that comment on or provide additional information related to published articles. Review Articles: Comprehensive overviews of a specific topic or field within the life sciences.
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