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RoL: FELS: RAISE: Principles of Modular Organization in Resource-Limited Biological Circuits

RoL：FELS：RAISE：资源有限生物回路中的模块化组织原理

基本信息

批准号：
1840257
负责人：
Domitilla Del Vecchio
金额：
$ 100万
依托单位：
Massachusetts Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-15 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1840257&HistoricalAwards=false
关键词：
RoL FELS RAISE Principles Modular

项目摘要

Biological circuits control the way in which cells sense and respond to their environment, from microbes to mammals. Despite the fact that these circuits share and trade common cellular resources, they are surprisingly able to maintain separate (highly decoupled) functionalities. How can biological circuits be connected yet be decoupled? This project seeks to address this puzzling question. This research will improve our current understanding of natural systems and help create new biological circuits that control cellular behavior for energy, environment, and medical applications. Currently, human-engineered biological circuits are unpredictable and not sufficiently reliable for practical use. The biological discoveries of this project may serve to develop engineering solutions that decouple synthetic biological circuits from each other for predictable and reliable behavior. The research conducted under this project requires synergy between theory and experiments and between biology and engineering. As such, a new generation of interdisciplinary researchers will be trained, with cross-disciplinary expertise. This project will develop new educational curricula that cross department boundaries. The researchers will organize workshops and invited sessions at national and international conferences on the problems addressed in this project and will present the research at the Cambridge Science Festival and at its satellite event "Science on the Street". Teaching materials will be further disseminated to the broader community through MIT's OpenCourseWare and edX.Modularity dictates that the input/output behavior of a system is practically independent of its context, thus allowing a bottom-up compositional approach to predict the behavior of complex systems. Today, a key challenge when creating biological circuits is that the input/output properties of a module changes unpredictably when the module is in a different context. While many elements contribute to dependence of modules on context, sharing limited cellular resources such as those required for gene expression remains a major unresolved cause of lack of modularity. This project will elucidate general rules to predict the emergent behavior of a circuit from the composition of intended regulatory links and indirect retroactivity arising from resource sharing. This will lead to formulate the breakdown of modularity as the control-theoretic problem of attenuating indirect retroactivity, which will be addressed with a decentralized feedback control solution inspired from nature. The experimental implementation of this solution will elucidate how natural feedback motifs keep homeostasis while working in orchestration and may substantially enhance our ability to create predictable systems in synthetic biology.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.

从微生物到哺乳动物，生物回路控制着细胞对环境的感知和反应方式。尽管这些电路共享和交换共同的细胞资源，但令人惊讶的是，它们能够保持独立（高度解耦）的功能。如何在连接生物电路的同时解耦？这个项目试图解决这个令人困惑的问题。这项研究将提高我们目前对自然系统的理解，并有助于创造新的生物电路，以控制能量，环境和医疗应用的细胞行为。目前，人类设计的生物电路是不可预测的，在实际应用中不够可靠。该项目的生物学发现可能有助于开发工程解决方案，将合成生物电路相互解耦，以实现可预测和可靠的行为。在这个项目下进行的研究需要理论与实验、生物与工程的协同。因此，新一代的跨学科研究人员将得到培训，具有跨学科的专业知识。这个项目将开发跨部门的新教育课程。研究人员将在国内和国际会议上组织研讨会和特邀会议，讨论该项目所涉及的问题，并将在剑桥科学节及其卫星活动“街头科学”上展示这项研究。教学材料将通过麻省理工学院的开放式课程和edX进一步传播到更广泛的社区。模块化规定了系统的输入/输出行为实际上独立于其上下文，因此允许自下而上的组合方法来预测复杂系统的行为。如今，创建生物电路的一个关键挑战是，当模块处于不同的环境中时，模块的输入/输出属性会发生不可预测的变化。虽然许多因素导致了模块对环境的依赖，但共享有限的细胞资源（如基因表达所需的细胞资源）仍然是缺乏模块化的主要原因。该项目将阐明一般规则，从预期监管链接的组成和资源共享产生的间接追溯性来预测电路的紧急行为。这将导致将模块化的分解制定为衰减间接追溯性的控制理论问题，这将通过来自大自然的分散反馈控制解决方案来解决。该解决方案的实验实现将阐明自然反馈基序在协调工作时如何保持稳态，并可能大大增强我们在合成生物学中创建可预测系统的能力。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。