课题基金 / 基金详情

Integrated dynamics of temporal and spatial controls in the cell division cycle of Caulobacter crescentus

Integrated dynamics of temporal and spatial controls in the cell division cycle of Caulobacter crescentus
新月柄杆菌细胞分裂周期中时间和空间控制的综合动力学
批准号:
0817314
负责人:
John Tyson
金额:
$13.2万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-15 至 2012-08-31

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项目成果

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中文摘要
翻译
在这个项目中,研究人员将应用非线性动力学和分叉理论的方法,以更好地了解调节新月柄杆菌细胞分裂周期时空动力学的分子机制。 控制柄杆菌属细胞周期进程的生化网络由平行和连续的高度非线性过程组成,包括正反馈和负反馈。 该网络的许多蛋白质以细胞周期依赖的方式动态地定位于细胞的两极,为细胞周期调节提供空间维度。 在这个项目中,控制系统的复杂性将从动态系统的角度,通过数学建模和计算机仿真。 为此,研究人员将构建一个经过实验验证的动态数学模型,该模型将描述空间和时间中的相关分子事件。 该模型将提供一个严格的帐户目前直观的想法细菌细胞周期控制,推进我们的理解细菌细胞分裂,整合现有的实验数据,调和明显矛盾的数据,确定数据差距,并提出新的实验设计。 数学建模,动力系统理论,分岔理论,渐近分析和数值计算的原则将被使用和先进的工作,在柄杆菌控制细胞分裂的分子机制的定量研究将有助于我们了解细胞周期的调控机制,也是一个基本的问题,在发育生物学(形态是如何协调与细胞周期进程)。 比较分析细菌和真核生物细胞周期的分子调控对进化生物学具有重要意义。 最近的研究表明,在柄杆菌中发现的许多基因和机制在α-变形菌门的其他成员中是进化上保守的。 因此,柄杆菌属的细胞复制机制和研究人员将开发的数学模型可能会扩展到整个α-变形菌纲。 几种α-变形菌(包括中华根瘤菌、土壤杆菌、立克次氏体和布鲁氏菌)在广泛的环境、医学和生物战防御应用中具有重要作用。 因此,这项关于柄杆菌生长、复制和分化的基础研究可能具有深远的意义。 特别是,对基因表达和蛋白质相互作用的时空控制的了解可以为抗菌剂的合理设计提供新的线索。 在更大的范围内,这项研究将有助于对生命系统动力学的概念理解和数学描述,并扩展分子细胞生物学的定量转化。
英文摘要
In this project, the investigators will apply the methods of nonlinear dynamics and bifurcation theory for developing a better understanding of the molecular mechanism regulating temporal and spatial dynamics of the cell division cycle in Caulobacter crescentus. The biochemical network controlling cell cycle progression in Caulobacter consists of parallel and consecutive, highly nonlinear processes, comprising positive and negative feedbacks. Many proteins of this network dynamically localize at the poles of the cell in a cell cycle-dependent manner, providing a spatial dimension to cell cycle regulation. In this project the complexity of the control system will be approached from a dynamical systems perspective, by means of mathematical modeling and computer simulation. To this end, the investigators will construct an experimentally verified, dynamical mathematical model that will describe the relevant molecular events in space and time. The model will provide a rigorous account of current intuitive ideas of bacterial cell cycle control, advance our understanding of bacterial cell division, integrate available experimental data, reconcile apparently conflicting data, identify data gaps, and suggest new experimental designs. Principles of mathematical modeling, dynamical systems theory, bifurcation theory, asymptotic analysis, and numerical computation will be used and advanced by this work.The quantitative study of the molecular mechanism controlling cell division in Caulobacter will contribute to our understanding of cell cycle regulatory mechanisms and also of a fundamental issue in developmental biology (how morphogenesis is coordinated with cell cycle progression). Comparative analysis of the molecular regulation of the cell cycle in bacteria and eukaryotes can be insightful for evolutionary biology. Recent studies have shown that many of genes and mechanisms discovered in Caulobacter are evolutionarily conserved among other members of the alpha-proteobacteria. Thus, the mechanism of cell replication in Caulobacter and the mathematical model that the investigators will develop may be extendable to the whole class of alpha-proteobacteria. Several alpha-proteobacteria (including Sinorhizobium, Agrobacterium, Rickettsia, and Brucella) have important roles in a wide range of environmental, medical and biowarfare-defense applications. Therefore, this fundamental research on Caulobacter growth, replication and differentiation may have far-reaching implications. In particular, insights gained into temporal and spatial control of gene expression and protein interactions could provide new clues for rational design of antibacterial agents. On a larger scale, this study will contribute to a conceptual understanding and mathematical description of the dynamics of living systems and to extending the quantitative transformation of molecular cell biology.
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Integrated Dynamics of Temporal and Spatial Controls in the Cell Division of Caulobacter crescentus
Dynamic Regulation of the Cell Cycle by the Proliferation Control (Rb) and Death Control (p53) Oncogenes
Computational Models of Cell Growth and Division
BIOCOMPLEXITY--INCUBATION ACTIVITY: A Collaborative Problem Solving Environment for Computational Modeling of Eukaryotic Cell Cycle Controls
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