Engineering programmable enzymes for proteome editing

用于蛋白质组编辑的工程可编程酶

基本信息

  • 批准号:
    10686522
  • 负责人:
  • 金额:
    $ 160.2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

Project Summary/Abstract The development of CRISPR/Cas9 technology for genome editing and reprogramming was one of the most important discoveries in the past decade. The ability to deliver instructions to a specific DNA locus enables systematic interrogation of genetic functions in a broad range of species. In contrast to genomic research, our ability to manipulate the proteome, the functional components of a cell, lags far behind. Natural protein-modifying enzymes, such as proteases and kinases, generally lack the exquisite specificity to perform targeted activities directed to a particular protein. A strategy that enables user-controlled, target-dependent enzyme activation would enable new opportunities for interrogating, modulating, and harnessing endogenous protein functions. In this work, we design autoinhibited enzymes that are activated in response to a highly specific antigen- antibody interaction. These novel enzyme architectures are engineered to have a built-in capability to toggle between a target-unbound, enzyme-inactive conformation and a target-bound, enzyme-active conformation. We present a research plan that outlines the development of a target-activated protease, luciferase, and a kinase, and the subsequent application of the engineered enzymes for controlling protein degradation, constructing biosensors, and re-writing cell signaling pathways. These synthetic enzymes adopt regulatory mechanisms entirely different from the endogenous counterparts, enabling wide possibilities for both basic research and synthetic biological applications. 1
项目总结/文摘

项目成果

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会议论文数量(0)
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Xin Zhou其他文献

Xin Zhou的其他文献

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{{ truncateString('Xin Zhou', 18)}}的其他基金

Detecting structural variants in a large population of samples through high-throughput sequencing data
通过高通量测序数据检测大量样本中的结构变异
  • 批准号:
    10707270
  • 财政年份:
    2022
  • 资助金额:
    $ 160.2万
  • 项目类别:
Detecting structural variants in a large population of samples through high-throughput sequencing data
通过高通量测序数据检测大量样本中的结构变异
  • 批准号:
    10797960
  • 财政年份:
    2022
  • 资助金额:
    $ 160.2万
  • 项目类别:
New Statistical Methods for Cox Regression with Measurement Errors in Cancer and Nutritional Epidemiology
癌症和营养流行病学中具有测量误差的 Cox 回归的新统计方法
  • 批准号:
    10202076
  • 财政年份:
    2021
  • 资助金额:
    $ 160.2万
  • 项目类别:
New Statistical Methods for Cox Regression with Measurement Errors in Cancer and Nutritional Epidemiology
癌症和营养流行病学中具有测量误差的 Cox 回归的新统计方法
  • 批准号:
    10409754
  • 财政年份:
    2021
  • 资助金额:
    $ 160.2万
  • 项目类别:
Interrogating and rewiring cell signaling pathways in CAR-T cells with synthetic phosphotyrosine recognition domains
具有合成磷酸酪氨酸识别域的 CAR-T 细胞中询问和重新布线细胞信号通路
  • 批准号:
    10260568
  • 财政年份:
    2020
  • 资助金额:
    $ 160.2万
  • 项目类别:
Interrogating and rewiring cell signaling pathways in CAR-T cells with synthetic phosphotyrosine recognition domains
具有合成磷酸酪氨酸识别域的 CAR-T 细胞中询问和重新布线细胞信号通路
  • 批准号:
    10573420
  • 财政年份:
    2020
  • 资助金额:
    $ 160.2万
  • 项目类别:
Interrogating and rewiring cell signaling pathways in CAR-T cells with synthetic phosphotyrosine recognition domains
具有合成磷酸酪氨酸识别域的 CAR-T 细胞中询问和重新布线细胞信号通路
  • 批准号:
    10617843
  • 财政年份:
    2020
  • 资助金额:
    $ 160.2万
  • 项目类别:

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  • 财政年份:
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生成最佳非 HRP2 疟疾诊断抗原的特异性抗体
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Interrogation of cell surface antigens on B lineage cells using structurally unique variable lymphocyte receptor antibodies of the evolutionarily distant sea lamprey
使用进化遥远的海七鳃鳗结构独特的可变淋巴细胞受体抗体询问 B 谱系细胞上的细胞表面抗原
  • 批准号:
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  • 财政年份:
    2020
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    $ 160.2万
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Investigations of interactions between various natural antibodies and food-derived antigens
研究各种天然抗体与食物源性抗原之间的相互作用
  • 批准号:
    19K15765
  • 财政年份:
    2019
  • 资助金额:
    $ 160.2万
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    Grant-in-Aid for Early-Career Scientists
Identifying Kawasaki Disease-Specific Antibodies and Antigens
识别川崎病特异性抗体和抗原
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    9932769
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抗体和抗原之间相互作用的新评分方法
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抗体和抗原之间相互作用的新评分方法
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  • 资助金额:
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SBIR II 期:针对蛋白质和碳水化合物抗原的抗体的自动化设计方法
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    1632399
  • 财政年份:
    2016
  • 资助金额:
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