通过指数细胞分裂动力学揭示幂律缩放规律

IF 1.9 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2024-04-01 Epub Date: 2024-03-15 DOI:10.1016/j.biosystems.2024.105190
Jia-Xu Han , Zhuangdong Bai , Rui-Wu Wang
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引用次数: 0

摘要

生物学的一个主要目标是制定普遍规律,以确定有机体是如何发展的,以及在本体和整个进化过程中,有机体是如何随着体型的变化而演变的。缩放理论提供了一个完整的视角,尤其是在阐明定义方程组的缩放指数所产生的基本生物学特征方面,对实现这一目标至关重要。然而,缩放理论中的异速方程的理论基础却没有得到充分解释,尤其是在建立细胞微观过程与宏观现象之间的联系方面。我们提出了一种无限细胞双分化的观点,这种观点导致细胞数量在个体生命周期内呈指数增长,从而弥补了细胞过程与异速缩放之间的概念差距。体重和器官重量之间的幂律缩放关系是由同步指数增长产生的,而异速指数则是对数细胞增殖率。用器官重量代替红细胞重量有助于在体重和代谢率之间建立幂律比例关系。此外,了解细胞大小如何影响幂律缩放关系中的指数至关重要。我们发现,器官细胞平均重量增加或所有细胞平均重量减少都会导致指数增大。此外,细胞增殖动力学显示,体重与寿命之间存在复杂的指数缩放关系,与之前报道的幂律缩放关系不同。我们发现寿命与对数体重之间存在二次联系。值得注意的是,这些关系中包含的所有参数都可以用与细胞分裂和胚胎发育相关的指数来解释。这项研究加深了我们对生物学中细胞过程与总体缩放现象之间复杂互动关系的理解。
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Unraveling power-law scaling through exponential cell division dynamics

A primary objective of biology is the development of universal laws that define how organic form develops and how it evolves as a function of size, both ontogenetically and across evolutionary time. Scaling theory has been essential in reaching this goal by giving a complete perspective point, particularly in illuminating the fundamental biological features produced within scaling exponents defining families of equations. Nonetheless, the theoretical basis of the allometric equation within scaling theory are inadequately explained, particularly when it comes to establishing links between micro-level processes at the cellular level and macro-level phenomena. We proposed an unlimited cell bipartition, resulting in an exponential growth in cell numbers during an individual’s lifespan, to bridge this conceptual gap between cellular processes and allometric scaling. The power-law scaling between body mass and organ weight was produced by the synchronous exponential increments and the allometric exponent is rate of logarithmic cell proliferation rate. Substituting organ weight for erythrocyte weight aided in the development of a power-law scaling relationship between body mass and metabolic rate. Furthermore, it is critical to understand how cell size affects the exponent in power-law scaling. We find that a bigger exponent will result from an increase in the average weight of organ cells or a decrease in the average weight of all cells. Furthermore, cell proliferation dynamics showed a complex exponential scaling between body mass and longevity, defying the previously reported power-law scaling. We discovered a quadratic link between longevity and logarithmic body mass. Notably, all of the parameters included in these relationships are explained by indices linked to cell division and embryonic development. This research adds to our understanding of the complex interaction between cellular processes and overarching scaling phenomena in biology.

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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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