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基因组热力学相位同步:类麦克斯韦妖对细胞命运转变的调控

Genomic-Thermodynamic Phase Synchronization: Maxwell's Demon-like Regulation of Cell Fate Transition.

作者信息

Tsuchiya Masa, Yoshikawa Kenichi, Giuliani Alessandro

机构信息

SEIKO Life Science Laboratory, SEIKO Research Institute for Education, Osaka 540-6591, Japan.

Faculty of Life and Medical Sciences, Doshisha University, Kyotanabe 610-0394, Japan.

出版信息

Int J Mol Sci. 2025 May 20;26(10):4911. doi: 10.3390/ijms26104911.

Abstract

Dynamic criticality-the balance between order and chaos-is fundamental to genome regulation and cellular transitions. In this study, we investigate the distinct behaviors of gene expression dynamics in MCF-7 breast cancer cells under two stimuli: heregulin (HRG), which promotes cell fate transitions, and epidermal growth factor (EGF), which binds to the same receptor but fails to induce cell-fate changes. We model the system as an open, nonequilibrium thermodynamic system and introduce a convergence-based approach for the robust estimation of information-thermodynamic metrics. Our analysis reveals that the Shannon entropy of the critical point (CP) dynamically synchronizes with the entropy of the rest of the whole expression system (WES), reflecting coordinated transitions between ordered and disordered phases. This phase synchronization is driven by net mutual information scaling with CP entropy dynamics, demonstrating how the CP governs genome-wide coherence. Furthermore, higher-order mutual information emerges as a defining feature of the nonlinear gene expression network, capturing collective effects beyond simple pairwise interactions. By achieving thermodynamic phase synchronization, the CP orchestrates the entire expression system. Under HRG stimulation, the CP becomes active, functioning as a Maxwell's demon with dynamic, rewritable chromatin memory to guide a critical transition in cell fate. In contrast, under EGF stimulation, the CP remains inactive in this strategic role, passively facilitating a non-critical transition. These findings establish a biophysical framework for cell fate determination, paving the way for innovative approaches in cancer research and stem cell therapy.

摘要

动态临界性——秩序与混沌之间的平衡——是基因组调控和细胞转变的基础。在本研究中,我们研究了MCF-7乳腺癌细胞在两种刺激下基因表达动力学的不同行为:促进细胞命运转变的这里生长因子(HRG),以及与同一受体结合但未能诱导细胞命运变化的表皮生长因子(EGF)。我们将该系统建模为一个开放的、非平衡热力学系统,并引入一种基于收敛的方法来稳健估计信息热力学指标。我们的分析表明,临界点(CP)的香农熵与整个表达系统(WES)其余部分的熵动态同步,反映了有序和无序相之间的协调转变。这种相位同步由与CP熵动态成比例的净互信息驱动,展示了CP如何控制全基因组的相干性。此外,高阶互信息成为非线性基因表达网络的一个决定性特征,捕捉了超越简单成对相互作用的集体效应。通过实现热力学相位同步,CP协调整个表达系统。在HRG刺激下,CP变得活跃,充当具有动态、可重写染色质记忆的麦克斯韦妖,以引导细胞命运的关键转变。相比之下,在EGF刺激下,CP在这一战略角色中保持不活跃,被动促进非关键转变。这些发现建立了一个细胞命运决定的生物物理框架,为癌症研究和干细胞治疗的创新方法铺平了道路。

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