Collaborative Research: MODULUS: Uncovering and re-engineering chromatin modification circuits that dictate epigenetic cell memory
合作研究:MODULUS:揭示和重新设计决定表观遗传细胞记忆的染色质修饰电路
基本信息
- 批准号:2027947
- 负责人:
- 金额:$ 31.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The different cell types that make up our body, such as skin cells or blood cells, have the ability to maintain distinct identities for the lifetime of an individual even if they all have the same DNA. How is memory of cell’s identity safeguarded for an individual’s lifetime? This project uncovers key molecular interaction circuits that enable the same DNA sequence to give rise to distinct and concurrent long-term cellular identities. This knowledge is valuable to understand diseases linked to loss of cell identity, such as cancer, to educate new approaches to stem cell reprogramming, and, ultimately, to program human cells for cell therapy. This project involves creating and analyzing mathematical models of molecular circuits that alter DNA compaction. These mathematical models enrich current educational curricula in quantitative molecular biology, systems biology, and synthetic biology. Graduate students receive a highly interdisciplinary training grounded on molecular biology, mathematical modeling, and mathematical theory of stochastic processes. Education aspects of the project impact K-12 and undergraduate students, members of underrepresented groups in science and women in mathematics through outreach and curriculum development activities. The objective of this project is to uncover fundamental principles by which chromatin modification circuits mediate epigenetic cell memory (ECM). ECM is the ability of cells to maintain distinct cell-type-specific gene expression patterns through subsequent cell divisions without a change in genetic sequence. The key hypothesis of this project is that synergistic positive feedback loops within chromatin modification circuits govern ECM in combination with time scale separation between epigenetic erasure and read-write processes. To validate this hypothesis, this project follows a “build-to-understand” approach driven by rigorous mathematical analysis of the (quasi)-stationary probability distribution of new multi-time scale stochastic processes. These processes naturally arise from the dynamics of chromatin modification circuits and take the form of small perturbations of non-ergodic processes, that capture time scale separation. The project has three aims. Aim 1 and Aim 2 focus on a single gene’s chromatin modification circuit, identifies biochemical parameters that control time scale separation, and establish an experimental model system to tune them. Aim 2 is focused on the extent to which DNA methylation biases ECM towards a repressed chromatin state and proposes a positive autoregulation mechanism to enhance ECM of an active chromatin state. Aim 3 investigates how, by wiring multiple genes’ chromatin modification circuits together, a long-term memory of arbitrary gene expression patterns could be created. As a proof of principle, Aim 3 performs experiments on an epigenetic toggle switch test-bed, a motif highly represented in gene regulatory networks involved in cell fate determination, in which two gene mutually repress each other. This project is co-funded by the Systems and Synthetic Biology and Genetic Mechanisms clusters in the Division of Molecular and Cellular Biosciences, the Mathematical Biology program in the Division of Mathematics and the Cellular and Biochemical Engineering program in the Division of Chemical, Bioengineering, Environmental and Transport Systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
组成我们身体的不同细胞类型,例如皮肤细胞或血细胞,有能力在个体的一生中保持不同的身份,即使它们都具有相同的DNA。如何在个人的一生中保护细胞的身份记忆?该项目揭示了关键的分子相互作用回路,使相同的DNA序列产生不同的和并发的长期细胞身份。 这些知识对于理解与细胞身份丧失相关的疾病(如癌症),教育干细胞重编程的新方法,以及最终为细胞治疗编程人类细胞都是有价值的。 该项目涉及创建和分析改变DNA压缩的分子电路的数学模型。这些数学模型丰富了当前定量分子生物学、系统生物学和合成生物学的教育课程。研究生接受基于分子生物学,数学建模和随机过程数学理论的高度跨学科培训。该项目的教育方面通过外联和课程编制活动影响到K-12和本科生、科学界代表性不足的群体成员和数学界的妇女。 这个项目的目的是揭示染色质修饰电路介导表观遗传细胞记忆(ECM)的基本原理。ECM是细胞在随后的细胞分裂中保持不同细胞类型特异性基因表达模式而不改变遗传序列的能力。该项目的关键假设是,染色质修饰回路内的协同正反馈回路结合表观遗传擦除和读写过程之间的时间尺度分离来管理ECM。为了验证这一假设,该项目遵循“建立理解”的方法,严格的数学分析的(准)-静态概率分布的新的多时间尺度随机过程。这些过程自然地产生于染色质修饰回路的动力学,并且采取捕获时间尺度分离的非遍历过程的小扰动的形式。该项目有三个目标。目的1和目的2集中在一个单一的基因的染色质修饰电路,确定控制时间尺度分离的生化参数,并建立一个实验模型系统来调整它们。目的2集中在DNA甲基化使ECM偏向于被抑制的染色质状态的程度上,并提出了一种积极的自动调节机制来增强活性染色质状态的ECM。目的3研究如何通过将多个基因的染色质修饰电路连接在一起,可以创建任意基因表达模式的长期记忆。作为原理的证明,Aim 3在表观遗传拨动开关试验台上进行实验,这是一种在参与细胞命运决定的基因调控网络中高度代表的基序,其中两个基因相互抑制。该项目由分子和细胞生物科学部的系统与合成生物学和遗传机制集群,数学部的数学生物学计划以及化学,生物工程部的细胞和生化工程计划共同资助。环境和运输系统。该奖项反映了NSF的法定使命,并已被认为是值得支持,通过评估使用基金会的学术价值和更广泛的影响审查标准。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Analytical and computational study of the stochastic behavior of a chromatin modification circuit
染色质修饰电路随机行为的分析和计算研究
- DOI:10.1109/cdc51059.2022.9992654
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Bruno, Simone;Williams, Ruth J.;Del Vecchio, Domitilla
- 通讯作者:Del Vecchio, Domitilla
Mathematical analysis of the limiting behaviors of a chromatin modification circuit
染色质修饰电路限制行为的数学分析
- DOI:10.1007/s00498-023-00343-8
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Bruno, Simone;Williams, Ruth J.;Del Vecchio, Domitilla
- 通讯作者:Del Vecchio, Domitilla
Model reduction and stochastic analysis of the histone modification circuit
组蛋白修饰电路的模型简化和随机分析
- DOI:10.23919/ecc55457.2022.9838047
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Bruno, Simone;Williams, Ruth J.;Del Vecchio, Domitilla
- 通讯作者:Del Vecchio, Domitilla
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Ruth Williams其他文献
Circulation Research "In This Issue" Anthology.
- DOI:
10.1161/res.0000000000000275 - 发表时间:
2019-06 - 期刊:
- 影响因子:20.1
- 作者:
Ruth Williams - 通讯作者:
Ruth Williams
Discrimination reported by older adults living with mental health conditions: types, contexts and association with healthcare barriers
患有精神健康问题的老年人报告的歧视:类型、背景以及与医疗保健障碍的关联
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:4.4
- 作者:
Jeromey B. Temple;Bianca Brijnath;J. Enticott;Ariane J. Utomo;Ruth Williams;M. Kelaher - 通讯作者:
M. Kelaher
Michael Potente: No Time to Waste.
迈克尔·波坦特:没有时间可以浪费。
- DOI:
10.1161/circresaha.117.311746 - 发表时间:
2017 - 期刊:
- 影响因子:20.1
- 作者:
Ruth Williams - 通讯作者:
Ruth Williams
Ruth Williams的其他文献
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{{ truncateString('Ruth Williams', 18)}}的其他基金
Dynamics of Stochastic Networks: Approximation, Analysis, and Control
随机网络动力学:近似、分析和控制
- 批准号:
2153866 - 财政年份:2022
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Stochastic Network Dynamics: Approximation, Analysis and Control
随机网络动力学:近似、分析和控制
- 批准号:
1712974 - 财政年份:2017
- 资助金额:
$ 31.5万 - 项目类别:
Continuing Grant
Stochastic Networks Conference 2016
2016 年随机网络会议
- 批准号:
1551486 - 财政年份:2016
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Dynamic Stochastic Networks: Analysis, Control and Applications
动态随机网络:分析、控制和应用
- 批准号:
1206772 - 财政年份:2012
- 资助金额:
$ 31.5万 - 项目类别:
Continuing Grant
IGMS: Dynamic Models in Synthetic Biology
IGMS:合成生物学中的动态模型
- 批准号:
0825686 - 财政年份:2009
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
AMC-SS: Stochastic Networks -- Analysis, Control and Applications
AMC-SS:随机网络——分析、控制和应用
- 批准号:
0906535 - 财政年份:2009
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
AMC-SS: Stochastic Networks - Control, Analysis and Applications
AMC-SS:随机网络 - 控制、分析和应用
- 批准号:
0604537 - 财政年份:2006
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
Stochastic Networks: Analysis and Control
随机网络:分析与控制
- 批准号:
0305272 - 财政年份:2003
- 资助金额:
$ 31.5万 - 项目类别:
Continuing Grant
Stochastic Networks: Control and Performance
随机网络:控制和性能
- 批准号:
0071408 - 财政年份:2000
- 资助金额:
$ 31.5万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
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- 批准号:30824808
- 批准年份:2008
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Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
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合作研究:MODULUS:蛋白质液滴驱动膜弯曲和细胞骨架组织
- 批准号:
2327243 - 财政年份:2023
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