DNA修复是由生物逻辑电路控制的吗?

IF 1.3 4区 生物学 Q3 BIOLOGY Theory in Biosciences Pub Date : 2022-02-01 Epub Date: 2022-01-01 DOI:10.1007/s12064-021-00360-8
Philip G Penketh
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引用次数: 0

摘要

讨论了生物逻辑电路在DNA修复整合与调控中的应用前景。作者认为这种调节模式可能适用于细胞生物学的许多其他领域;然而,目前有更多的实验数据支持它参与控制DNA修复。顺序逻辑过程总是需要一个时钟来编排有序的事件处理。在提出的假设中,p53表达中的脉冲具有这一功能。考虑到逻辑类型控制的诸多优势,人们可以预期,在大约30亿年的进化过程中,单细胞生命形式可能是唯一的生命形式,生物逻辑类型控制系统将进化到至少控制一些生物过程。除了“时钟”之外,还确定了其他几个必要的组件,例如;一种在不需要修复过程时暂时使其失活的方法(例如,通过磷酸化使MGMT(一种自杀修复蛋白)可逆失活);这可以防止具有潜在重叠修复功能的复杂DNA修复系统相互干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Is DNA repair controlled by a biological logic circuit?

The possible utilization of biological logic circuit(s) in the integration and regulation of DNA repair is discussed. The author believes this mode of regulation likely applies to many other areas of cell biology; however, there are currently more experimental data to support its involvement in the control of DNA repair. Sequential logic processes always require a clock to orchestrate the orderly processing of events. In the proposed hypothesis, the pulses in the expression of p53 serve this function. Given the many advantages of logic type control, one would expect that in the course of ~ 3 billion years of evolution, where single cell life forms were likely the only forms of life, a biological logic type control system would have evolved to control at least some biological processes. Several other required components in addition to the 'clock' have been identified, such as; a method to temporarily inactivate repair processes when they are not required (e.g. the reversible inactivation of MGMT, a suicide repair protein, by phosphorylation); this prevents complex DNA repair systems with potentially overlapping repair functions from interfering with each other.

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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
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