Collaborative Research: Identifying and modeling the advantages of regulating protein abundance in Caulobacter crescentus
合作研究:识别和模拟调节新月柄杆菌蛋白质丰度的优势
基本信息
- 批准号:1613741
- 负责人:
- 金额:$ 27.07万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-08-15 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The cell cycle is a series of cellular events leading to DNA duplication and cell division, and ultimately to the production of two daughter cells. This project will address broadly relevant questions about cell cycle regulation. Namely, what is the function of the regulated degradation of crucial cell cycle proteins and how does this regulatory mechanism integrate with other levels of regulation to control the cell cycle? By addressing these questions, this work has the potential to have a significant impact on our basic understanding of how the cell cycle is regulated. This project will expose students to interdisciplinary research and allow undergraduate students in summer laboratory courses to be active participants in research. The timed synthesis and degradation of specific proteins is a ubiquitous mechanism of cell regulation. However, some proteins can be regulated by covalent modification or binding to an allosteric effector. If a protein's activity can be controlled without the energetic cost of degradation and resynthesis, what circumstances would favor regulation by proteolysis? To address this question, the investigators are studying CtrA, a transcriptional regulator that promotes cell division in Caulobacter, yet also blocks chromosome replication. To reconcile these opposing functions, CtrA activity is temporarily eliminated from the cell just prior to chromosome replication by both dephosphorylation and proteolysis. Caulobacter strains expressing a non-degradable version of CtrA can still initiate chromosome replication, indicating that CtrA activity can be significantly reduced by dephosphorylation alone. However, cells with non-degradable CtrA have subtle defects that may compromise their competitive fitness. During each division cycle, ~9000 CtrA molecules are degraded and resynthesized. To understand the selective advantages conferred by this apparently wasteful strategy, experimental and modeling approaches will be used to predict and test the consequences of regulating CtrA only by phosphorylation. In particular, this study will investigate whether the periodic degradation and resynthesis of a neutral passenger protein confers a competitive disadvantage in Caulobacter, as in other bacteria. Caulobacter strains expressing steady levels of a non-degradable CtrA protein will be used to identify phenotypes that differ from cells with oscillating CtrA levels. Competitive fitness assays and quantitative microscopy approaches will test explicitly the predictions of existing mathematical models, e.g., that cells with non-degradable CtrA experience a delay in chromosome replication and a longer cell division cycle. Existing deterministic and stochastic models of the Caulobacter cell cycle will be revised, taking into account recent published findings. Stochastic spatiotemporal modeling will benefit from single-cell data on times of division, chromosome replication, and protein localization.
细胞周期是一系列细胞事件,导致DNA复制和细胞分裂,并最终产生两个子细胞。该项目将解决有关细胞周期调控的广泛相关问题。也就是说,关键细胞周期蛋白的调节降解的功能是什么,这种调节机制如何与其他水平的调节结合来控制细胞周期?通过解决这些问题,这项工作有可能对我们对细胞周期如何调节的基本理解产生重大影响。该项目将使学生接触跨学科研究,并允许参加暑期实验课程的本科生积极参与研究。特定蛋白质的定时合成和降解是一种普遍存在的细胞调节机制。然而,一些蛋白质可以通过共价修饰或与变构效应物结合来调节。如果一种蛋白质的活性可以在不消耗降解和再合成能量的情况下得到控制,那么在什么情况下有利于通过蛋白质水解进行调节呢?为了解决这个问题,研究人员正在研究CtrA,一种促进茎状杆菌细胞分裂的转录调节因子,同时也阻止染色体复制。为了协调这些相反的功能,CtrA活性在染色体复制之前通过去磷酸化和蛋白水解暂时从细胞中消除。表达CtrA不可降解版本的Caulobacter菌株仍然可以启动染色体复制,这表明CtrA活性可以通过单独去磷酸化显着降低。然而,具有不可降解CtrA的细胞具有可能损害其竞争适应性的微妙缺陷。在每个分裂周期中,约有9000个CtrA分子被降解和重新合成。为了理解这种明显浪费的策略所带来的选择优势,实验和建模方法将用于预测和测试仅通过磷酸化调节CtrA的后果。特别是,本研究将调查中性客运蛋白的周期性降解和再合成是否会像其他细菌一样在茎状杆菌中造成竞争劣势。表达稳定水平的不可降解CtrA蛋白的Caulobacter菌株将用于鉴定与振荡CtrA水平的细胞不同的表型。竞争适应度分析和定量显微镜方法将明确测试现有数学模型的预测,例如,具有不可降解的CtrA的细胞经历染色体复制延迟和更长的细胞分裂周期。考虑到最近发表的研究结果,现有的根茎杆菌细胞周期的确定性和随机模型将被修订。随机时空建模将受益于单细胞分裂时间、染色体复制和蛋白质定位的数据。
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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Yang Cao其他文献
Fast depth estimation from single image using structured forest
使用结构化森林从单个图像快速估计深度
- DOI:
10.1109/icip.2016.7533115 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Shuai Fang;Ren Jin;Yang Cao - 通讯作者:
Yang Cao
Microarray Analysis on the Differences of Gene Expression in Longissimus Dorsi Muscle Tissue Between 1 and 24 Months Chinese Red Steppes
1、24月龄中国红草原背最长肌组织基因表达差异的微阵列分析
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Lihong Qin;Guoliang Zhang;Yang Cao;Jia;Yumin Zhao;Zhihui Zhao - 通讯作者:
Zhihui Zhao
Blow-up of solutions of the nonlinear Sobolev equation
非线性 Sobolev 方程解的放大
- DOI:
10.1016/j.aml.2013.09.001 - 发表时间:
2014-02 - 期刊:
- 影响因子:3.7
- 作者:
Yang Cao;Yuanyuan Nie - 通讯作者:
Yuanyuan Nie
CoP decorated with Co 3O 4 as a cocatalyst for enhanced photocatalytic hydrogen evolution via dye sensitizatio
CoP 装饰有 Co 3O 4 作为助催化剂,通过染料敏化增强光催化析氢
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:6.7
- 作者:
Shaoqin Peng;Yang Cao;Fengxian Zhou;Zhaodi Xu;Yuexiang Li - 通讯作者:
Yuexiang Li
Multi-source inverse-geometry CT: From system concept to research prototype
多源逆几何CT:从系统概念到研究原型
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
B. De Man;A. Caiafa;Yang Cao;K. Frutschy;D. Harrison;L. Inzinna;R. Longtin;B. Neculaes;Joseph Reynolds;J. Roy;Jonathan Short;J. Uribe;W. Waters;Z. Yin;Xi Zhang;Yun Zou;B. Senzig;J. Baek;N. Pelc - 通讯作者:
N. Pelc
Yang Cao的其他文献
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{{ truncateString('Yang Cao', 18)}}的其他基金
FET: AF: Small: Spatial Stochastic Modeling and Simulation with application in the Caulobacter Cell Cycle control
FET:AF:小:空间随机建模和模拟及其在柄杆菌细胞周期控制中的应用
- 批准号:
1909122 - 财政年份:2019
- 资助金额:
$ 27.07万 - 项目类别:
Standard Grant
The 2017 international conference on systems biology; Virginia Tech; August 6-12, 2017
2017年系统生物学国际会议;
- 批准号:
1739416 - 财政年份:2017
- 资助金额:
$ 27.07万 - 项目类别:
Standard Grant
Phase I I/UCRC University of Connecticut Site: Center for Novel High Voltage/Temperature Materials and Structures (HVT)
I 期 I/UCRC 康涅狄格大学网站:新型高压/高温材料和结构中心 (HVT)
- 批准号:
1650544 - 财政年份:2017
- 资助金额:
$ 27.07万 - 项目类别:
Standard Grant
AF: Small: Algorithmic Foundations of Hybrid Stochastic Modeling and Simulation Methods with Applications to Cell Cycle Models
AF:小:混合随机建模和模拟方法的算法基础及其在细胞周期模型中的应用
- 批准号:
1526666 - 财政年份:2015
- 资助金额:
$ 27.07万 - 项目类别:
Continuing Grant
Career: Multiscale Stochastic Simulation for Complex Biochemical Systems with Visualization Tools
职业:使用可视化工具对复杂生化系统进行多尺度随机模拟
- 批准号:
0953590 - 财政年份:2010
- 资助金额:
$ 27.07万 - 项目类别:
Continuing Grant
Multiscale Modeling, Simulation, and Sensivitity Analysis of Biochemical Systems Motivated by Pulsatile Insulin Secretion
脉动胰岛素分泌驱动的生化系统的多尺度建模、模拟和敏感性分析
- 批准号:
0726763 - 财政年份:2007
- 资助金额:
$ 27.07万 - 项目类别:
Standard Grant
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