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High-Throughput Analysis and Evolution of Stereoselective Enzymes using Flow Cytometry

High-Throughput Analysis and Evolution of Stereoselective Enzymes using Flow Cytometry
使用流式细胞术对立体选择性酶进行高通量分析和进化
批准号:
1904885
负责人:
Jennifer Heemstra
金额:
$39.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-01 至 2022-06-30

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中文摘要
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英文摘要
Enzymes are among the most efficient catalysts known, and they are responsible for nearly all the reactions that make life possible. The capability of enzymes to catalyze chemical transformations can also be harnessed to provide environmentally benign routes for the synthesis of pharmaceuticals and other high-value chemicals. However, naturally occurring enzymes must be honed to function in these non-natural reactions. Key to augmenting enzyme capabilities is the development of fast, high-fidelity sensing tools that measure the function of enzymes in large numbers. With support from the Chemical Measurement and Imaging Program in the Division of Chemistry and partial co-funding from the Biosensing Program in the Division of Chemical, Bioengineering, Environmental and Transport Systems at NSF, Dr. Jennifer Heemstra at Emory University uses a high-speed sequential platform to measure the function of millions of different modified versions of naturally occurring enzymes generated by her team, thereby allowing for identification of those enzymes best suited to important non-natural reactions. This project is developing a user-friendly platform that can be widely applied to discover new enzymes for constructing these high-value chemicals. Integrated with this research, Dr. Heemstra develops and broadly disseminates multi-media resources that help to prepare the future workforce in science, technology, engineering, and mathematics. Specifically, these resources provide information and advice on professional skills, including oral and written communication, pioneering new research ideas, promoting diversity and inclusion, and professional networking. These resources are freely available to the general public and utilized by students and researchers nationwide.Dr. Jennifer Heemstra at Emory University is using enantiomeric DNA biosensors to enable high-throughput enantiopurity measurement as a broadly applicable approach to biocatalyst discovery. DNA biosensors are powerful in their ability to transduce the presence of a specific small-molecule target into a dose-dependent fluorescence output. Dr. Heemstra utilizes sensors comprised of each of the two enantiomers of DNA to quantify the concentrations of the two enantiomers of a target small molecule that are produced as a result of an enzymatic reaction. This analysis is integrated with droplet microfluidic technology to enable screening and sorting by flow cytometry. As a result, large libraries of enzyme variants can be rapidly screened, and those having the desired levels of stereoselectivity isolated, thereby accelerating the discovery of new biocatalysts for the synthesis of pharmaceuticals and other high-value chemicals. This research is integrated with an undergraduate curriculum in which students learn how to read and analyze the primary literature and craft original research proposals, as well as publicly available resources to promote the professional development of early-career researchers.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.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Optical control of aptamer-based sensors using a photocleavable linker
使用光可裂解连接器对基于适体的传感器进行光学控制
DOI: --
发表时间: 2019
期刊: Aptamers
影响因子: --
作者: [Tan, Zhesen, Feagin, Trevor A., Heemstra, Jennifer M.]
通讯作者: Heemstra, Jennifer M.
DNA/TNA mesoscopic modeling of melting temperatures suggests weaker hydrogen bonding of CG than in DNA/RNA
DNA/TNA 熔解温度的介观模型表明 CG 的氢键比 DNA/RNA 中的氢键弱
DOI: 10.1016/j.cplett.2020.137413
发表时间: 2020
期刊: Chemical Physics Letters
影响因子: 2.8
作者: [Muniz, Maria Izabel, Lackey, Hershel H., Heemstra, Jennifer M., Weber, Gerald]
通讯作者: Weber, Gerald
Bilingual Biopolymers: Harnessing Dual Information Codes to Control Assembly
  • 批准号:
    2313695
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $42.86万
  • 财政年份:
    2023
  • 负责人:
    Jennifer Heemstra
  • 依托单位:
RCN-UBE: Failure as a part of Learning, A Mindset Education Network (FLAMEnet)
  • 批准号:
    2309885
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2022
  • 负责人:
    Jennifer Heemstra
  • 依托单位:
Glyoxal-Based Caging for Temporal Control of Nucleic Acid Function
  • 批准号:
    2204185
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.48万
  • 财政年份:
    2022
  • 负责人:
    Jennifer Heemstra
  • 依托单位:
Glyoxal-Based Caging for Temporal Control of Nucleic Acid Function
  • 批准号:
    2306047
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.48万
  • 财政年份:
    2022
  • 负责人:
    Jennifer Heemstra
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位:
基于Meta-analysis的新疆棉花灌水增产模型研究
  • 批准号:
    41601604
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2016
  • 负责人:
    赵爱琴
  • 依托单位:
大规模微阵列数据组的meta-analysis方法研究
  • 批准号:
    31100958
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2011
  • 负责人:
    赵洪雅
  • 依托单位: