EAGER: Design of an RNA-based Dual Regulator for Repetitive Gene Expression Regulation

EAGER:设计基于 RNA 的重复基因表达调控双调节器

基本信息

  • 批准号:
    2223720
  • 负责人:
  • 金额:
    $ 29.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-08-01 至 2025-07-31
  • 项目状态:
    未结题

项目摘要

The project integrates biological experiments and computational studies to train future scientists and engineers with competence in conducting interdisciplinary research, and to cultivate a multi-disciplinary perspective for problem-solving. Drawing expertise from engineering and biology, the project expands the state-of-the-art design of gene circuits with new capabilities that would enable cells to interact and respond in novel ways. This new means of programing cells with various capabilities will open doors to complex cellular designs with predictable and novel functionalities for applications in advanced biocomputing and medicine. The research also promotes participation of the K-12 and underrepresented students in STEM activities and advocates early STEM education and interdisciplinary research. These are critical elements for the success of the young generation scientists and engineers, as well as the sustainability and prosperity of future research. Current biological controllers are typically constrained by unidirectional and non-repetitive regulation of the target gene expression, which could hamper their applications in cases where repetitive up and down regulations are needed. The research plan involves mathematical modeling and control theory to guide the design of an RNA-based gene circuit and utilizes the in vitro transcription and translation (cell-free) system for rapid parts characterization and performance evaluation. Specifically, the project deploys an RNA-RNA annihilation reaction as the comparator between the reference and the target gene concentration. The outcome of the comparator then triggers the downstream up-regulator via CRISPRa (Clustered Regularly Interspaced Short Palindromic Repeats activation), or a down-regulator via RNA-RNA sequestration. By continuously evaluating the relative gene expression level and actuating the corresponding regulation pathway, repetitive bi-directional regulation is achieved. The project focuses on the design of genetic controllers with expanded regulation capability and improved feasibility for potential practical applications. In view of the interdisciplinary nature of the project, its findings are expected to benefit research in synthetic biology, mathematical modeling, control theory, and the cell-free 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.
该项目整合了生物学实验和计算研究,以培养未来有能力进行跨学科研究的科学家和工程师,并培养解决问题的多学科视角。利用工程学和生物学的专业知识,该项目扩大了最先进的基因电路设计,使其具有新的能力,使细胞能够以新颖的方式相互作用和做出反应。这种对具有各种功能的细胞进行编程的新方法将为复杂的细胞设计打开大门,这些设计具有可预测的和新的功能,适用于先进的生物计算和医学。这项研究还促进了K-12和代表性不足的学生参与STEM活动,并倡导早期STEM教育和跨学科研究。这些都是年轻一代科学家和工程师成功的关键因素,也是未来研究的可持续性和繁荣的关键因素。目前的生物控制器通常受到目标基因表达的单向和非重复调节的限制,这可能会阻碍它们在需要重复的上下调节的情况下的应用。该研究计划涉及数学建模和控制理论,以指导基于RNA的基因电路的设计,并利用体外转录和翻译(无细胞)系统进行快速部件表征和性能评估。具体地说,该项目部署了一个RNA-RNA湮灭反应,作为参考基因浓度和目标基因浓度之间的比较器。比较器的结果然后通过CRISPRa(聚集的规则间隔短回文重复激活)触发下游上调调控,或通过RNA-RNA隔离触发下调调控。通过不断评估相关基因的表达水平,并启动相应的调控途径,实现重复的双向调控。该项目的重点是设计具有扩展的调节能力和提高潜在实际应用的可行性的遗传控制器。鉴于该项目的跨学科性质,其发现预计将有助于合成生物学、数学建模、控制理论和无细胞系统的研究。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Xun Tang其他文献

Application Simulation Research Based on Visual Image Capture Technology in Sports Injury Rehabilitation
基于视觉图像捕捉技术在运动损伤康复中的应用模拟研究
Chronic cerebral hypoperfusion and blood-brain barrier disruption in uninjured brain areas of rhesus monkeys subjected to transient ischemic stroke
短暂性缺血性中风的恒河猴未受伤脑区的慢性脑灌注不足和血脑屏障破坏
  • DOI:
    10.1177/0271678x221078065
  • 发表时间:
    2022-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yingqian Zhang;Bangcheng Zhao;Qi Lai;Qinxi Li;Xun Tang;Yinbing Zhang;Zhixiang Pan;Qiang Gao;Zhihui Zhong
  • 通讯作者:
    Zhihui Zhong
Revisiting Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis
重新审视日语谓词-论元结构分析的局部模型的设计问题
Binary Regressions with Bounded Median Dependence
具有有界中值依赖性的二元回归
  • DOI:
    10.2139/ssrn.1332124
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xun Tang
  • 通讯作者:
    Xun Tang
No Free Lunch in Soft Error Protection
软错误保护没有免费的午餐
  • DOI:
  • 发表时间:
    2008
  • 期刊:
  • 影响因子:
    0
  • 作者:
    I. Polian;S. Reddy;I. Pomeranz;Xun Tang;B. Becker
  • 通讯作者:
    B. Becker

Xun Tang的其他文献

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{{ truncateString('Xun Tang', 18)}}的其他基金

A Neural Network-based Optimal Control Framework for Colloidal Self-Assembly
基于神经网络的胶体自组装最优控制框架
  • 批准号:
    2218077
  • 财政年份:
    2022
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant
Collaborative Research: Empirical Analysis of Social Network with Unreported Links
协作研究:具有未报告链接的社交网络的实证分析
  • 批准号:
    1919489
  • 财政年份:
    2019
  • 资助金额:
    $ 29.98万
  • 项目类别:
    Standard Grant

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