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对信息素响应中非平衡细胞命运决定的全球定量理解。

Global quantitative understanding of non-equilibrium cell fate decision-making in response to pheromone.

作者信息

Li Sheng, Liu Qiong, Wang Erkang, Wang Jin

机构信息

College of Chemistry, Jilin University, Changchun, Jilin 130012, China.

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.

出版信息

iScience. 2023 Sep 9;26(10):107885. doi: 10.1016/j.isci.2023.107885. eCollection 2023 Oct 20.

Abstract

Cell-cycle arrest and polarized growth are commonly used to characterize the response of yeast to pheromone. However, the quantitative decision-making processes underlying time-dependent changes in cell fate remain unclear. In this study, we conducted single-cell level experiments to observe multidimensional responses, uncovering diverse fates of yeast cells. Multiple states are revealed, along with the kinetic switching rates and pathways among them, giving rise to a quantitative landscape of mating response. To quantify the experimentally observed cell fates, we developed a theoretical framework based on non-equilibrium landscape and flux theory. Additionally, we performed stochastic simulations of biochemical reactions to elucidate signal transduction and cell growth. Notably, our experimental findings have provided the first global quantitative evidence of the real-time synchronization between intracellular signaling, physiological growth, and morphological functions. These results validate the proposed underlying mechanism governing the emergence of multiple cell fate states. This study introduces an emerging mechanistic approach to understand non-equilibrium cell fate decision-making in response to pheromone.

摘要

细胞周期停滞和极化生长通常用于表征酵母对信息素的反应。然而,细胞命运随时间变化的定量决策过程仍不清楚。在本研究中,我们进行了单细胞水平实验以观察多维反应,揭示了酵母细胞的多种命运。研究发现了多种状态以及它们之间的动力学转换速率和途径,从而形成了交配反应的定量格局。为了量化实验观察到的细胞命运,我们基于非平衡格局和通量理论开发了一个理论框架。此外,我们对生化反应进行了随机模拟,以阐明信号转导和细胞生长。值得注意的是,我们的实验结果首次提供了细胞内信号传导、生理生长和形态功能之间实时同步的全球定量证据。这些结果验证了所提出的控制多种细胞命运状态出现的潜在机制。本研究引入了一种新兴的机制方法来理解酵母对信息素反应中的非平衡细胞命运决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6558/10520453/7e40f331832c/fx1.jpg

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