Suppr超能文献

基于端粒缩短、氧化应激以及核DNA和线粒体DNA体细胞突变的细胞复制性衰老随机模型。

A stochastic model of cell replicative senescence based on telomere shortening, oxidative stress, and somatic mutations in nuclear and mitochondrial DNA.

作者信息

Sozou P D, Kirkwood T B

机构信息

Department of Operational Research, London School of Economics and Political Science, Houghton Street, London WC2A 2AE, UK.

出版信息

J Theor Biol. 2001 Dec 21;213(4):573-86. doi: 10.1006/jtbi.2001.2432.

Abstract

Human diploid fibroblast cells can divide for only a limited number of times in vitro, a phenomenon known as replicative senescence or the Hayflick limit. Variability in doubling potential is observed within a clone of cells, and between two sister cells arising from a single mitotic division. This strongly suggests that the process by which cells become senescent is intrinsically stochastic. Among the various biochemical mechanisms that have been proposed to explain replicative senescence, particular interest has been focussed on the role of telomere reduction. In the absence of telomerase--an enzyme switched off in normal diploid fibro-blasts-cells lose telomeric DNA at each cell division. According to the telomere hypothesis of cell senescence, cells eventually reach a critically short telomere length and cell cycle arrest follows. In support of this concept, forced expression of telomerase in normal fibroblasts appears to prevent cell senescence. Nevertheless, the telomere hypothesis in its basic form has some difficulty in explaining the marked stochastic variations seen in the replicative lifespans of individual cells within a culture, and there is strong empirical and theoretical support for the concept that other kinds of damage may contribute to cellular ageing. We describe a stochastic network model of cell senescence in which a primary role is played by telomere reduction but in which other mechanisms (oxidative stress linked particularly to mitochondrial damage, and nuclear somatic mutations) also contribute. The model gives simulation results that are in good agreement with published data on intra-clonal variability in cell doubling potential and permits an analysis of how the various elements of the stochastic network interact. Such integrative models may aid in developing new experimental approaches aimed at unravelling the intrinsic complexity of the mechanisms contributing to human cell ageing.

摘要

人类二倍体成纤维细胞在体外只能分裂有限次数,这种现象被称为复制性衰老或海弗利克极限。在一个细胞克隆内,以及由一次有丝分裂产生的两个姐妹细胞之间,都观察到了倍增潜力的变异性。这有力地表明,细胞衰老的过程本质上是随机的。在已提出的各种解释复制性衰老的生化机制中,人们特别关注端粒缩短的作用。在没有端粒酶的情况下——正常二倍体成纤维细胞中该酶处于关闭状态——细胞在每次细胞分裂时都会丢失端粒DNA。根据细胞衰老的端粒假说,细胞最终会达到临界短端粒长度,随后细胞周期停滞。为支持这一概念,在正常成纤维细胞中强制表达端粒酶似乎可以防止细胞衰老。然而端粒假说的基本形式在解释培养物中单个细胞复制寿命中明显的随机变化时存在一些困难,并且有强有力的经验和理论支持其他类型的损伤可能导致细胞衰老这一概念。我们描述了一种细胞衰老的随机网络模型,其中端粒缩短起主要作用,但其他机制(特别是与线粒体损伤相关的氧化应激和核体细胞突变)也有贡献。该模型给出的模拟结果与已发表的关于细胞克隆内倍增潜力变异性的数据高度一致,并允许分析随机网络的各种元素如何相互作用。这种综合模型可能有助于开发新的实验方法,以揭示导致人类细胞衰老机制的内在复杂性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验