A computational model of mutual antagonism in the mechano-signaling network of RhoA and nitric oxide.

IF 2.4 3区 生物学 Q4 CELL BIOLOGY BMC Molecular and Cell Biology Pub Date : 2021-10-12 DOI:10.1186/s12860-021-00383-5
Akila Surendran, C Forbes Dewey, Boon Chuan Low, Lisa Tucker-Kellogg
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引用次数: 2

Abstract

Background: RhoA is a master regulator of cytoskeletal contractility, while nitric oxide (NO) is a master regulator of relaxation, e.g., vasodilation. There are multiple forms of cross-talk between the RhoA/ROCK pathway and the eNOS/NO/cGMP pathway, but previous work has not studied their interplay at a systems level. Literature review suggests that the majority of their cross-talk interactions are antagonistic, which motivates us to ask whether the RhoA and NO pathways exhibit mutual antagonism in vitro, and if so, to seek the theoretical implications of their mutual antagonism.

Results: Experiments found mutual antagonism between RhoA and NO in epithelial cells. Since mutual antagonism is a common motif for bistability, we sought to explore through theoretical simulations whether the RhoA-NO network is capable of bistability. Qualitative modeling showed that there are parameters that can cause bistable switching in the RhoA-NO network, and that the robustness of the bistability would be increased by positive feedback between RhoA and mechanical tension.

Conclusions: We conclude that the RhoA-NO bistability is robust enough in silico to warrant the investment of further experimental testing. Tension-dependent bistability has the potential to create sharp concentration gradients, which could contribute to the localization and self-organization of signaling domains during cytoskeletal remodeling and cell migration.

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RhoA和一氧化氮机械信号网络中相互拮抗的计算模型。
背景:RhoA是细胞骨架收缩的主要调节剂,而一氧化氮(NO)是松弛的主要调节剂,例如血管舒张。RhoA/ROCK通路和eNOS/NO/cGMP通路之间存在多种形式的串扰,但之前的工作尚未在系统水平上研究它们的相互作用。文献综述表明,它们的大部分串音相互作用是拮抗的,这促使我们想知道RhoA和NO通路是否在体外表现出相互拮抗,如果是,寻求它们相互拮抗的理论意义。结果:RhoA与NO在上皮细胞中相互拮抗。由于相互拮抗是双稳性的共同主题,我们试图通过理论模拟探索RhoA-NO网络是否具有双稳性。定性建模表明,RhoA- no网络中存在可导致双稳态切换的参数,并且RhoA与机械张力之间的正反馈将增加双稳态的鲁棒性。结论:我们得出结论,RhoA-NO双稳定性在硅中足够稳健,可以保证进一步实验测试的投资。张力依赖的双稳定性有可能产生急剧的浓度梯度,这可能有助于细胞骨架重塑和细胞迁移过程中信号域的定位和自组织。
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来源期刊
BMC Molecular and Cell Biology
BMC Molecular and Cell Biology Biochemistry, Genetics and Molecular Biology-Cell Biology
CiteScore
5.50
自引率
0.00%
发文量
46
审稿时长
27 weeks
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