Engineering autoregulation of the epitranscriptome to track and control stress responses

表观转录组的工程自动调节以跟踪和控制应激反应

基本信息

  • 批准号:
    2218477
  • 负责人:
  • 金额:
    $ 66.32万
  • 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:
    2022-07-15 至 2025-06-30
  • 项目状态:
    未结题

项目摘要

Environmental stressors of biological systems are highly complex. It has been postulated that environmental stressors can result in RNA modifications in biological cells. The study of such modifications is known as epitranscriptomics. In this project, an interdisciplinary team of researchers, including graduate students and undergraduate students, are using epitranscriptomics to study how chemically induced changes in RNA molecules within biological cells could be used to record environmental stresses. The study makes use of computational tools, biochemical characterization, traditional genetics methods as well as tools in Next Generation Sequencing. These studies contribute to the general understanding of how cells sense, record and respond to their environments and are important for understanding how to design early warning systems for virus detection for example. The project provides research opportunities to students from low-income underrepresented communities through the “Raising Future Scientists” program at the University of Texas at Austin. Emphasis is given on promoting participation of undergraduate students as a way to encourage their interest in graduate programs in science and engineering. The project also contributes to the advancement of the public-school synthetic biology curriculum.This proposal uses the epitranscriptome as a mechanism to sense, record, and respond to the complexities of the environment. The goal is to utilize RNA modifications in new classes of modular devices that combine sensory RNA motifs, called “RNA Sensors,” with activating protein domains, or “Protein Actuators”, to enable engineered regulation of cellular responses. The research combines integrated systems approaches involving computational tools, molecular RNA-protein biochemical characterization strategies, traditional genetics methods, and novel, in vivo Next Generation Sequencing-based tools to accomplish three objectives: (i) establish the epitranscriptome as a sensory module in bacteria, (ii) rationally re-engineer 8-OG recognition proteins as actuating modules, and (iii) couple sensing and actuation of the epitranscriptome with CRISPR-systems for signaling, memory, and stress response control capabilities. Results from this research are broadly applicable in the field of synthetic biology and could be used for understanding specific environmental exposures for risk assessment and interventions.This proposal is jointly funded by the Systems and Synthetic Biology program in the Division of Molecular and Cellular Biosciences 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.
生物系统的环境压力源是高度复杂的。据推测,环境压力因素可导致生物细胞中的RNA修饰。这种修饰的研究被称为表观转录组学。在这个项目中,一个跨学科的研究团队,包括研究生和本科生,正在使用表观转录组学来研究生物细胞内RNA分子的化学诱导变化如何被用来记录环境压力。该研究利用了计算工具、生化表征、传统遗传学方法以及下一代测序工具。这些研究有助于对细胞如何感知、记录和对环境作出反应的一般理解,并且对于理解如何设计诸如病毒检测的早期预警系统非常重要。该项目通过德克萨斯大学奥斯汀分校的“培养未来科学家”项目,为来自低收入群体的学生提供研究机会。重点是促进本科生的参与,以鼓励他们对科学和工程研究生课程的兴趣。该项目还促进了公立学校合成生物学课程的发展。该建议使用表转录组作为感知、记录和响应环境复杂性的机制。目标是在新型模块化设备中利用RNA修饰,将称为“RNA传感器”的感觉RNA基元与激活蛋白质结构域或“蛋白质致动器”相结合,以实现细胞反应的工程调节。该研究结合了集成系统方法,包括计算工具,分子rna -蛋白质生化表征策略,传统遗传学方法和新颖的基于体内下一代测序的工具,以实现三个目标:(i)将表转录组建立为细菌中的传感模块,(ii)合理地重新设计8-OG识别蛋白作为驱动模块,以及(iii)将表转录组的传感和驱动与crispr系统结合起来,以实现信号传导、记忆和应激反应控制能力。该研究结果可广泛应用于合成生物学领域,并可用于了解特定的环境暴露,以进行风险评估和干预。本提案由分子与细胞生物科学系的系统与合成生物学项目和化学生物工程、环境与运输系统系的细胞与生化工程项目共同资助。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。

项目成果

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Lydia Contreras其他文献

Lydia Contreras的其他文献

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{{ truncateString('Lydia Contreras', 18)}}的其他基金

Deciphering newly uncovered mechanisms of fluid regulation in bacterial RNA-protein networks
破译细菌 RNA-蛋白质网络中新发现的液体调节机制
  • 批准号:
    2349832
  • 财政年份:
    2024
  • 资助金额:
    $ 66.32万
  • 项目类别:
    Standard Grant
Ideas Lab: Dark Dimensions of the RNA Regulome (D2R2)
创意实验室:RNA 调节组的黑暗维度 (D2R2)
  • 批准号:
    2204393
  • 财政年份:
    2021
  • 资助金额:
    $ 66.32万
  • 项目类别:
    Standard Grant
URoL:Epigenetics 1: Collaborative Research: Novel epitransciptomics tools to understand and modulate interactions of modified RNAs with protein readers and erasers
URoL:表观遗传学 1:合作研究:用于理解和调节修饰 RNA 与蛋白质读取器和擦除器相互作用的新型表观转录组学工具
  • 批准号:
    2022146
  • 财政年份:
    2020
  • 资助金额:
    $ 66.32万
  • 项目类别:
    Standard Grant
Molecular Characterization of Interacting Bacterial Regulatory Networks
相互作用的细菌调节网络的分子表征
  • 批准号:
    1932780
  • 财政年份:
    2019
  • 资助金额:
    $ 66.32万
  • 项目类别:
    Standard Grant
Molecular Characterization of Target Scheduling in Bacterial
细菌靶标调度的分子表征
  • 批准号:
    1716777
  • 财政年份:
    2017
  • 资助金额:
    $ 66.32万
  • 项目类别:
    Standard Grant
Understanding Regulatory RNA-protein Networks to Control Cellular Metabolism
了解控制细胞代谢的调节性 RNA-蛋白质网络
  • 批准号:
    1330862
  • 财政年份:
    2013
  • 资助金额:
    $ 66.32万
  • 项目类别:
    Continuing Grant
CAREER: Mapping Regulatory Networks in Extremophiles
职业:绘制嗜极微生物的调控网络
  • 批准号:
    1254754
  • 财政年份:
    2013
  • 资助金额:
    $ 66.32万
  • 项目类别:
    Continuing Grant

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使用近红外光谱进行骨骼肌微血管自动调节:对 ICU 患者的首次人体描述以及与脑 NIRS 的比较
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The role of Alpha1-Adrenergic Receptors Promoter Methylation in Cerebral Autoregulation in Fetus
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Cerebral Autoregulation, Metabolic derangement, and Edema in Encephalopathy Outcome (CAMEEO)
脑病结果中的大脑自动调节、代谢紊乱和水肿 (CAMEEO)
  • 批准号:
    10591879
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    2023
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脑血管自动调节功能障碍的脑电图特征作为动脉瘤性蛛网膜下腔出血(SAH)脑损伤的生物标志物
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BRC-BIO:血清素信号传导在果蝇轴突形态、连接性和行为自动调节中的作用
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    2232510
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    2023
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    Standard Grant
Alpha Adrenergic Methylation and Developmental Maturation of Cerebral Autoregulation in Ovine Preterm Fetus
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Calcium-dependent autoregulation of vasopressin neurons in a rodent model of heart failure.
心力衰竭啮齿动物模型中加压素神经元的钙依赖性自动调节。
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    2023
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Mapping single nephron glomerular filtration rate with mechanisms of autoregulation in the kidney using magnetic resonance imaging
使用磁共振成像绘制单肾单位肾小球滤过率与肾脏自动调节机制
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    10732632
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