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Synthetic DNA-free Circuits for “Scarless” Programming of Mammalian Cells

用于哺乳动物细胞“无痕”编程的合成无 DNA 电路

基本信息

批准号：
10379933
负责人：
Xiaojing J Gao
金额：
$ 24.9万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-04-10 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10379933
关键词：
Ablation Adopted Apoptosis Basic Science Behavior Binding Bioinformatics Biotechnology Cells Cicatrix Complex Coupling DNA DNA delivery Detection Development Dimerization Elements Engineering Epitopes Event Foundations Future Genetic Genetic Transcription Genome Genomics Goals Human Immune response Individual Lead Malignant Neoplasms Mammalian Cell Mathematics Medical Molecular Oncogene Activation Oncolytic Outcome Output Pathologic Patients Peptide Hydrolases Pharmaceutical Preparations Phase Phosphopeptides Process Proteins Proteolysis Public Health RNA RNA Viruses Regulation Regulation of Proteolysis Research Research Personnel Risk Running Safety Signal Transduction Specificity Techniques Testing Therapeutic Training Transcriptional Regulation Viral Viral Genome Viral Proteins Viral Vector Virus Virus Replication base cancer cell career cell behavior cell type computer framework delivery vehicle design improved in vivo knock-down nanobodies operation parallel computer programs protein aminoacid sequence protein expression ras Oncogene reconstitution skills training small molecule success synthetic biology synthetic construct transcription factor transmission process ubiquitin-protein ligase vector virology

项目摘要

Abstract Mammalian synthetic biology aims to rationally program the behavior of cells with synthetic molecular circuits, and it holds great promises for diverse biomedical fields such as cell fate reprogramming and oncolytic virology. Synthetic circuits have been predominantly constructed with transcription factors, and delivered on DNA-based vectors that are compatible with transcriptional regulation but may insert into and mutagenize the host genome. Protein-level circuits would potentially operate faster, compute in parallel in subcellular compartments, and interface directly with cell endogenous inputs/outputs. They would also enable the development of RNA-based vectors with lower mutagenic risks, because protein-level circuits can serve as both cargos that functions properly even when expressed from an RNA vector, and as controllers for RNA viruses through regulation of essential viral proteins. However, despite researchers' efforts, protein circuits have been limited to a few ad hoc examples, because existing protein components, unlike transcriptional units, lack composability (the ability to select and assemble modular building blocks differently for different tasks). In our preliminary study, we successfully engineered viral proteases as composable elements for protein-level circuits, and demonstrated a broad variety of functions. Building upon the initial success, I will enhance the capability of protease circuits, and concurrently develop a RNA vector for their delivery. To better couple protease circuits to cell endogenous inputs/outputs, I will build detection modules that converts specific proteins' presence and signaling events into protease activity, and execution modules that knock down endogenous proteins. To meet a larger input/output palette with expanded computing capacity, I will mine more orthogonal proteases and engineer them to be regulatable by other proteases. Meanwhile, to facilitate the optimization of more complex circuits and to explore its unique features compared to traditional transcriptional circuits, I will establish a computational framework for simulating protease circuits. As for delivery, I will engineer a negative-strand RNA virus into a vector by regulating essential viral proteins with protease circuits to achieve safety and cell-type specificity. I will also test the limit of the vector's cargo capacity and explore strategies to raise the limit. All told, my project will engender a more powerful platform for constructing and delivering DNA-free synthetic circuits into mammalian cells. My career goal is to lead my independent research group devoted to establishing a general-purpose toolkit for non-mutagenic manipulation of mammalian cells. During the K99 phase, I will continue to receive in- depth quantitative and mathematical training from Dr. Elowitz and our collaborators, and acquire key experimental techniques from my consultants. I will also have demonstrated the feasibility of the basic designs behind each aim. My trained skills, as well as individual designs, will come together in the R00 phase, give rise to more complex circuits with direct biomedical relevance, and lay the foundation for my future career.

摘要哺乳动物合成生物学的目标是用合成的分子合理地编程细胞的行为，电路，它为不同的生物医学领域，如细胞命运重编程和溶瘤病毒学合成电路主要是用转录因子构建的，并在基于DNA的载体与转录调控相容，但可以插入并诱变转录调控子。宿主基因组蛋白质水平的电路可能会运行得更快，在亚细胞中并行计算，区室，并直接与细胞内源性输入/输出接口。它们还将使开发具有较低诱变风险的基于RNA的载体，因为蛋白质水平的电路可以作为即使从RNA载体表达也能正常发挥功能的货物，病毒通过调节必需的病毒蛋白。然而，尽管研究人员做出了努力，已经被限制在一些特别的例子中，因为现有的蛋白质组分，不像转录单位，缺乏可组合性（为不同任务选择和组装不同模块化构建块的能力）。在我们的初步研究中，我们成功地将病毒蛋白酶工程化为蛋白质水平的电路，并展示了各种各样的功能。在初步成功的基础上，我将增强蛋白酶回路的能力，并同时开发用于其递送的RNA载体。更好地偶联蛋白酶电路细胞内源性输入/输出，我将建立检测模块，转换特定的蛋白质的存在和信号事件转化为蛋白酶活性，以及执行模块，内源性蛋白质为了满足更大的输入/输出调色板与扩展的计算能力，我将挖掘更多正交蛋白酶并将它们工程化为可由其它蛋白酶调节。与此同时，为方便优化更复杂的电路，并探索其独特的功能相比，传统的转录电路，我将建立一个模拟蛋白酶电路的计算框架。至于送货，我会通过用蛋白酶回路调节必需病毒蛋白质，将负链RNA病毒工程化到载体中以实现安全性和细胞类型特异性。我也会测试载体的载货能力极限，提高极限的策略。总而言之，我的项目将产生一个更强大的平台，将不含DNA的合成电路输送到哺乳动物细胞中。我的职业目标是领导我的独立研究小组，致力于建立一个通用的用于哺乳动物细胞的非诱变操作的工具包。在K99阶段，我将继续收到- 深入的定量和数学培训，从博士Elowitz和我们的合作者，并获得关键我的顾问的实验技术。我还将证明基本设计的可行性每一个目标的背后我训练有素的技能，以及个人设计，将在R 00阶段走到一起，直接与生物医学相关的更复杂的电路，并为我未来的职业生涯奠定基础。