Stochastic Models of Cell Cycle Regulation in Eukaryotes
真核生物细胞周期调控的随机模型
基本信息
- 批准号:7161846
- 负责人:
- 金额:$ 32.26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-06-06 至 2010-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): The cycle of cell growth, DNA synthesis, mitosis and cell division is fundamental process by which cells (and all living organisms) grow, develop and reproduce. Hence, it is of crucial importance to science and human health to understand the molecular mechanisms that control these processes in eukaryotic cells. The control system is so complex that mathematical and computational methods are needed to reliably track the interactions of dozens of genes, mRNAs, proteins, and multiprotein complexes. Deterministic models (ordinary differential equations) are adequate for understanding the average behavior of groups of cells, but to understand the far-from-average behavior of individual cells requires stochastic models that accurately account for noisy events in the growth-division cycle. Noise stems from small numbers of participating molecules within a single cell, and from vagaries of the division process (i.e., unequal partitioning of molecular components between daughter cells). The goal of the proposed project is to create a realistic and accurate stochastic model of cell cycle control in budding yeast. To accomplish this goal the investigators will: 1) Formulate the molecular regulatory system in terms of elementary biochemical reactions, suitable for exact stochastic simulation. 2) Employ appropriate methods for approximate simulation of these stochastic process, in order to efficiently compute probabilities suitable for comparison to experiments. 3) Develop methods for parameter estimation, sensitivity analysis and bifurcation theory of stochastic dynamical systems. 4) Create a software/hardware environment that supports the demanding computations required of stochastic models of any realistic gene/mRNA/protein regulatory network. 5) Apply the methods and tools to known variability in growth and division of single yeast cells. The multi-disciplinary team at Virginia Tech has proven expertise in all aspects of the project and will be supported by external advisors who are top researchers in the areas of stochastic simulation, sensitivity analysis, bifurcation theory and yeast genetics. Because all eukaryotic cells seem to employ the same fundamental molecular machinery that regulates the cell cycle of yeast, success in modeling growth and division of single yeast cells will translate into better understanding of the roles of cell division in basic biological processes of significant relevance to human health: e.g., embyronic development, tissue regeneration, wound healing, and carcinogenesis.
描述(由申请人提供):细胞生长、DNA合成、有丝分裂和细胞分裂的周期是细胞(以及所有生物体)生长、发育和繁殖的基本过程。因此,了解真核细胞中控制这些过程的分子机制对科学和人类健康至关重要。控制系统是如此复杂,以至于需要数学和计算方法来可靠地跟踪几十个基因、mrna、蛋白质和多蛋白复合物的相互作用。确定性模型(常微分方程)足以理解细胞群的平均行为,但要理解单个细胞的远非平均行为,需要精确解释生长-分裂周期中嘈杂事件的随机模型。噪声来自于单个细胞中参与的分子数量较少,以及分裂过程的变幻莫测(即子细胞之间分子成分的不平等分配)。提出的项目的目标是建立一个真实和准确的芽殖酵母细胞周期控制的随机模型。为了实现这一目标,研究人员将:1)从基本生化反应的角度构建适合精确随机模拟的分子调控系统。2)采用适当的方法对这些随机过程进行近似模拟,以便有效地计算出适合与实验比较的概率。3)发展随机动力系统的参数估计、灵敏度分析和分岔理论方法。4)创建一个软件/硬件环境,支持任何现实基因/mRNA/蛋白质调控网络的随机模型所需的苛刻计算。5)将方法和工具应用于单个酵母细胞生长和分裂的已知变异性。弗吉尼亚理工大学的多学科团队在项目的各个方面都拥有成熟的专业知识,并将得到外部顾问的支持,这些顾问是随机模拟、敏感性分析、分岔理论和酵母遗传学领域的顶尖研究人员。由于所有真核细胞似乎都采用相同的基本分子机制来调节酵母的细胞周期,因此成功模拟单个酵母细胞的生长和分裂将有助于更好地理解细胞分裂在与人类健康相关的基本生物过程中的作用,例如胚胎发育、组织再生、伤口愈合和癌变。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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John J. Tyson其他文献
On the appearance of chaos in a model of the Belousov reaction
- DOI:
10.1007/bf00276106 - 发表时间:
1977-12-01 - 期刊:
- 影响因子:2.300
- 作者:
John J. Tyson - 通讯作者:
John J. Tyson
Sloppy size control of the cell division cycle.
细胞分裂周期的大小控制不严格。
- DOI:
10.1016/s0022-5193(86)80162-x - 发表时间:
1986 - 期刊:
- 影响因子:2
- 作者:
John J. Tyson;Odo Diekmann - 通讯作者:
Odo Diekmann
Turing-pattern model of scaffolding proteins that establish spatial asymmetry during the cell cycle of emCaulobacter crescentus/em
在新月柄杆菌(emCaulobacter crescentus)细胞周期中建立空间不对称性的支架蛋白图灵模式模型
- DOI:
10.1016/j.isci.2023.106513 - 发表时间:
2023-04-21 - 期刊:
- 影响因子:4.100
- 作者:
Chunrui Xu;John J. Tyson;Yang Cao - 通讯作者:
Yang Cao
Analysis of robustness of oscillations in models of the mammalian circadian clock
- DOI:
10.1016/j.bpj.2022.11.1554 - 发表时间:
2023-02-10 - 期刊:
- 影响因子:
- 作者:
Xiangyu Yao;Jing Chen;John J. Tyson;Benjamin Heidebrecht - 通讯作者:
Benjamin Heidebrecht
Periodic enzyme synthesis: reconsideration of the theory of oscillatory repression.
周期性酶合成:振荡抑制理论的重新思考。
- DOI:
- 发表时间:
1979 - 期刊:
- 影响因子:2
- 作者:
John J. Tyson - 通讯作者:
John J. Tyson
John J. Tyson的其他文献
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{{ truncateString('John J. Tyson', 18)}}的其他基金
Experimental and Computational Studies of Exit from Mitosis in Budding Yeast
出芽酵母有丝分裂退出的实验和计算研究
- 批准号:
7176649 - 财政年份:2007
- 资助金额:
$ 32.26万 - 项目类别:
Experimental and Computational Studies of Exit from Mitosis in Budding Yeast
出芽酵母有丝分裂退出的实验和计算研究
- 批准号:
7569962 - 财政年份:2007
- 资助金额:
$ 32.26万 - 项目类别:
Experimental and Computational Studies of Exit from Mitosis in Budding Yeast
出芽酵母有丝分裂退出的实验和计算研究
- 批准号:
7339879 - 财政年份:2007
- 资助金额:
$ 32.26万 - 项目类别:
Experimental and Computational Studies of Exit from Mitosis in Budding Yeast
出芽酵母有丝分裂退出的实验和计算研究
- 批准号:
7760873 - 财政年份:2007
- 资助金额:
$ 32.26万 - 项目类别:
Stochastic Models of Cell Cycle Regulation in Eukaryotes
真核生物细胞周期调控的随机模型
- 批准号:
7436098 - 财政年份:2006
- 资助金额:
$ 32.26万 - 项目类别:
Stochastic Models of Cell Cycle Regulation in Eukaryotes
真核生物细胞周期调控的随机模型
- 批准号:
7289061 - 财政年份:2006
- 资助金额:
$ 32.26万 - 项目类别:
Stochastic Models of Cell Cycle Regulation in Eukaryotes
真核生物细胞周期调控的随机模型
- 批准号:
7983356 - 财政年份:2006
- 资助金额:
$ 32.26万 - 项目类别:
Stochastic Models of Cell Cycle Regulation in Eukaryotes
真核生物细胞周期调控的随机模型
- 批准号:
7675416 - 财政年份:2006
- 资助金额:
$ 32.26万 - 项目类别:
Stochastic Models of Cell Cycle Regulation in Eukaryotes
真核生物细胞周期调控的随机模型
- 批准号:
8137719 - 财政年份:2006
- 资助金额:
$ 32.26万 - 项目类别:
Stochastic Models of Cell Cycle Regulation in Eukaryotes
真核生物细胞周期调控的随机模型
- 批准号:
7241501 - 财政年份:2006
- 资助金额:
$ 32.26万 - 项目类别:
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