论文标题

生物学中的非平衡物理学

Nonequilibrium Physics in Biology

论文作者

Fang, Xiaona, Kruse, Karsten, Lu, Ting, Wang, Jin

论文摘要

生命的特征是无数复杂的动态过程,使生物可以生长,繁殖和进化。从热力学平衡中描述系统的物理方法已越来越多地应用于生命系统,从传统上研究的现象通常表现出未知的现象。在过去的十年或两年中的实验进步,例如,在显微镜,单细胞动力学,在生物生物体以外的亚和多细胞系统的重建中,或在高吞吐量数据中的重建,产生了有关细胞动力学的前所未有的有关细胞动力学的财富,遗传调节和生物体发育。这些数据激发了概念和工具的发展和完善,以剖析生物学过程的物理机制。值得注意的是,景观和通量理论以及活跃的流体动力学理论已证明在这项工作中非常有用。与在非平衡物理学的其他领域开发的概念和工具一起,在光合作用,细胞调节网络,细胞运动和组织,胚胎发展和癌症,癌症,神经网络动力学,人群动态和生态学以及衰老,免疫反应和进化方面,在光合作用,细胞调节网络,细胞运动和组织,胚胎发展和癌症发展,胚胎发育和癌症的有效运输方面取得了重大进展。在这里,我们回顾了非平衡物理学的最新进展,并调查了它们在生物系统中的应用。我们希望,随着该领域继续建立我们对生活的理解,这些结果中的许多结果都是重要的基石。

Life is characterized by a myriad of complex dynamic processes allowing organisms to grow, reproduce, and evolve. Physical approaches for describing systems out of thermodynamic equilibrium have been increasingly applied to living systems, which often exhibit phenomena unknown from those traditionally studied in physics. Spectacular advances in experimentation during the last decade or two, for example, in microscopy, single cell dynamics, in the reconstruction of sub- and multicellular systems outside of living organisms, or in high throughput data acquisition have yielded an unprecedented wealth of data about cell dynamics, genetic regulation, and organismal development. These data have motivated the development and refinement of concepts and tools to dissect the physical mechanisms underlying biological processes. Notably, the landscape and flux theory as well as active hydrodynamic gel theory have proven very useful in this endeavour. Together with concepts and tools developed in other areas of nonequilibrium physics, significant progresses have been made in unraveling the principles underlying efficient energy transport in photosynthesis, cellular regulatory networks, cellular movements and organization, embryonic development and cancer, neural network dynamics, population dynamics and ecology, as well as ageing, immune responses and evolution. Here, we review recent advances in nonequilibrium physics and survey their application to biological systems. We expect many of these results to be important cornerstones as the field continues to build our understanding of life.

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