Development of Electrochemical Mass Spectrometry for the Study of Protein Redox Chemistry and Protein Structures

用于研究蛋白质氧化还原化学和蛋白质结构的电化学质谱法的发展

基本信息

  • 批准号:
    1915878
  • 负责人:
  • 金额:
    $ 31.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-08-15 至 2021-05-31
  • 项目状态:
    已结题

项目摘要

With support from the Chemical Measurement and Imaging (CMI) program in the Division of Chemistry and the Molecular Biophysics Program from the Division of Molecular and Cellular Biosciences, Dr. Hao Chen and his group at Ohio University are developing powerful new analytical tools for the fundamental study of protein chemistry, with long-term aims of probing protein functions in living cells and organisms. The study seeks new methods for rapid elucidation of protein structures and insights into the mechanisms of electrochemical reactions involving proteins. The work provides research opportunities for both undergraduate and graduate students, including members of underrepresented groups. Dr. Chen is also actively involved in educational outreach activities, including ChemShows/Workshops/Seminars for pre-college students to learn about modern instrumental analysis and to develop enthusiasm for scientific research. In this project, Dr. Chen's group is combining mass spectrometry (MS) and electrochemistry (EC) techniques for the study of protein redox reactions. The aim is a powerful tool for identification of the protein electrochemical reaction products and intermediates. One specific target is to combine fast and selective cleavage of disulfide bond linkages in a protein (via electroreduction) with MS analysis to enable protein sequencing and disulfide bond mapping. The work is also probing biomolecular electron transfer pathways for increased understanding of cellular oxidative stress and similar phenomena.
在化学系化学测量与成像(CMI)项目和分子与细胞生物科学系分子生物物理项目的支持下,陈昊博士和他的团队在俄亥俄州大学正在开发强大的新分析工具用于蛋白质化学的基础研究,其长期目标是探索活细胞和生物体中的蛋白质功能。该研究寻求快速阐明蛋白质结构的新方法,并深入了解涉及蛋白质的电化学反应机制。这项工作为本科生和研究生提供了研究机会,包括代表性不足的群体。陈博士还积极参与教育推广活动,包括为大学预科学生举办的ChemShows/Workshops/Seminars,以了解现代仪器分析并培养对科学研究的热情。在这个项目中,陈博士的团队将质谱(MS)和电化学(EC)技术结合起来,用于研究蛋白质的氧化还原反应。为蛋白质电化学反应产物和中间体的鉴定提供了有力的工具。一个特定的目标是将蛋白质中二硫键连接的快速和选择性切割(通过电还原)与MS分析相结合,以实现蛋白质测序和二硫键作图。这项工作也在探索生物分子的电子转移途径,以增加对细胞氧化应激和类似现象的理解。

项目成果

期刊论文数量(17)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Probing specific ligand-protein interactions by native-denatured exchange mass spectrometry
通过天然变性交换质谱法探测特定配体-蛋白质相互作用
  • DOI:
    10.1016/j.aca.2018.07.072
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Zheng Qiuling;Tian Yang;Ruan Xujun;Chen Hao;Wu Xunxun;Xu Xiaowei;Wang Guangji;Hao Haiping;Ye Hui
  • 通讯作者:
    Ye Hui
Improvements for absolute quantitation using electrochemical mass spectrometry
使用电化学质谱法进行绝对定量的改进
BODIPY-Based Photoacid Generators for Light-Induced Cationic Polymerization
  • DOI:
    10.1021/acs.orglett.0c00118
  • 发表时间:
    2020-02-07
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Sambath, Karthik;Wan, Zhaoxiong;Zhan, Yuanwei
  • 通讯作者:
    Zhan, Yuanwei
Ultrafast enzymatic digestion of proteins by microdroplet mass spectrometry
  • DOI:
    10.1038/s41467-020-14877-x
  • 发表时间:
    2020-02-26
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Zhong, Xiaoqin;Chen, Hao;Zare, Richard N.
  • 通讯作者:
    Zare, Richard N.
Absolute Quantitation of Oxidizable Peptides by Coulometric Mass Spectrometry
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Hao Chen其他文献

A multi-objective optimization approach for the selection of overseas oil projects
海外石油项目选择的多目标优化方法
  • DOI:
    10.1016/j.cie.2020.106977
  • 发表时间:
    2020-11
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Hao Chen;Li Xi-Yu;Lu Xin-Ru;Sheng Ni;Zhou Wei;Geng Hao-Peng;Yu Shiwei
  • 通讯作者:
    Yu Shiwei
Aerosol optical depth and fine-mode fraction retrieval over East Asia using multi-angular total and polarized remote sensing
利用多角度全偏振遥感反演东亚气溶胶光学深度和精细模式分数
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Tianhai Cheng;Xingfa Gu;Donghai Xie;Zhengqiang Li;Tao Yu;Hao Chen
  • 通讯作者:
    Hao Chen
Quantification of control rod worth uncertainties propagated from nuclear data via a hybrid high-order perturbation and efficient sampling method
通过混合高阶扰动和高效采样方法对从核数据传播的控制棒价值不确定性进行量化
  • DOI:
    10.1016/j.anucene.2017.12.049
  • 发表时间:
    2018-04
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Hao Chen;Li Fu;Hu Wenqi;Zhang Yunfei;Zhao Qiang
  • 通讯作者:
    Zhao Qiang
Freeform manufacturing of a progressive addition lens by use of a voice coil fast tool servo
使用音圈快速工具伺服系统自由曲面制造渐进多焦点镜片
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yi Yu Li;Jiaojie Chen;H. Feng;Chaohong Li;Jia Qu;Hao Chen
  • 通讯作者:
    Hao Chen
Image Classification Model Based on Deep Learning in Internet of Things
物联网中基于深度学习的图像分类模型

Hao Chen的其他文献

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{{ truncateString('Hao Chen', 18)}}的其他基金

ERI: Representations of Complex Engineering Systems via Technology Recursion and Renormalization Group
ERI:通过技术递归和重整化群表示复杂工程系统
  • 批准号:
    2301627
  • 财政年份:
    2023
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Standard Grant
Making Use of the Curse of Dimensionality in Modern Data Analysis
在现代数据分析中利用维度诅咒
  • 批准号:
    2311399
  • 财政年份:
    2023
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Standard Grant
Development of Absolute Quantitative Protein Footprinting Mass Spectrometry (aqPFMS) for Probing Protein 3D Structures
开发用于探测蛋白质 3D 结构的绝对定量蛋白质足迹质谱 (aqPFMS)
  • 批准号:
    2203284
  • 财政年份:
    2022
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Standard Grant
SaTC: CORE: Small: Collaborative: Understanding and Detecting Memory Bugs in Rust
SaTC:核心:小:协作:理解和检测 Rust 中的内存错误
  • 批准号:
    1956364
  • 财政年份:
    2020
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Standard Grant
CAREER: New Change-Point Problems in Analyzing High-Dimensional and Non-Euclidean Data
职业:分析高维和非欧几里得数据的新变点问题
  • 批准号:
    1848579
  • 财政年份:
    2019
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Continuing Grant
SaTC: CORE: Medium: Collaborative: Towards Robust Machine Learning Systems
SaTC:核心:媒介:协作:迈向稳健的机器学习系统
  • 批准号:
    1801751
  • 财政年份:
    2018
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Standard Grant
Development of Electrochemical Mass Spectrometry for the Study of Protein Redox Chemistry and Protein Structures
用于研究蛋白质氧化还原化学和蛋白质结构的电化学质谱法的发展
  • 批准号:
    1709075
  • 财政年份:
    2017
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Continuing Grant
Change-Point Analysis for Multivariate and Object Data
多变量和对象数据的变点分析
  • 批准号:
    1513653
  • 财政年份:
    2015
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Standard Grant
CAREER: Development of Microsecond Time-Resolved Mass Spectrometry for the Study of Biochemical Reaction Mechanisms and Kinetics
职业:开发微秒时间分辨质谱用于生化反应机制和动力学研究
  • 批准号:
    1149367
  • 财政年份:
    2012
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Continuing Grant
TC: Small: Designing New Authentication Mechanisms using Hardware Capabilities in Advanced Mobile Devices
TC:小型:使用高级移动设备中的硬件功能设计新的身份验证机制
  • 批准号:
    1018964
  • 财政年份:
    2010
  • 资助金额:
    $ 31.35万
  • 项目类别:
    Standard Grant

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In-situ Analysis of Mass and Mechanical Changes of Interfaces and Interphases in Energy Storage Systems by Electrochemical Quartz Crystal Microbalance with Dissipation Monitoring
通过电化学石英晶体微天平和耗散监测对储能系统中界面和相间的质量和机械变化进行原位分析
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使用电化学质谱法实时探测氨的产生
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Panoptic electrochemical probe for next-generation mass spectrometry based-lipidomics
用于基于脂质组学的下一代质谱分析的全景电化学探针
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使用电化学质谱仪 (EC-MS) 实时定量检测挥发性电化学和光电化学反应产物
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基于电化学物理性质的非饱和混凝土传质预测模型
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  • 批准号:
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