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CAREER: Quantification of Cellular Proteome Stress and Recovery Using Chemical Methods

CAREER: Quantification of Cellular Proteome Stress and Recovery Using Chemical Methods
职业:使用化学方法量化细胞蛋白质组压力和恢复
批准号:
1944973
负责人:
Xin Zhang
金额:
$74.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-01-15 至 2022-10-31

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中文摘要
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英文摘要
With this award, the Chemistry of Life Processes Program in the Chemistry Division is funding Dr. Xin Zhang from Pennsylvania State University to develop new tools examining the effects of stresses on proteins in live cells, in real time. The proteins in cells must be maintained in a delicate balance between a folded state that is dissolved in water (soluble folded) and an solid state that does not dissolve in water (insoluble aggregated state). Excessive aggregation is bad for the cells but this phenomenon occurs when cells are exposed to stresses such as aging, heat and certain chemicals. To understand how protein stress relates to cellular function, Dr. Zhang focuses develops a new class of fluorescent sensors that light up when they come into contact with unfolded proteins in cells. This project provides a variety of new tools for real-time determinations of cellular protein stresses and recovery. The interdisciplinary nature of the program allows graduate and undergraduate students to gain training and expertise in modern chemical biology research. The project also includes an education plan called "Seeking Protein Aggregates Detectors". The central theme of this education plan is to integrate K-12 and undergraduate students in research and public engagement programs that discover new chemical detectors for protein aggregates from unexplored natural dyes and their interactions with egg white proteins. As existing proteome stress sensors are insufficient to enable quantitative studies on the dynamics of proteome stress and recovery, Dr. Zhang is developing a novel class of fluorogenic sensors, represented by the AgHalo sensor. This sensor uses changes in fluorescence intensity as a direct readout to quantify stress-induced protein aggregation. Building on this foundation, Dr. Zhang is developing a second fluorogenic proteome stress sensor, AgSNAP, which is orthogonal to AgHalo, thus enabling a set of two-color sensors. To detect protein refolding as a post-stress event, a fluorogenic proteome recovery sensor is being developed using anti-solvatochromic fluorophores. These sensors are used to quantify intracellular protein aggregation and refolding in cells that are subjected to chronic stresses. Mutant proteins that can form either soluble or insoluble aggregates are also targeted. Results of these experiments test the hypothesis that the soluble aggregates of mutant proteins cause a more severe proteome stress than the insoluble aggregates. These research goals enable a set of novel proteome stress and recovery sensors for the protein biochemistry community and provide quantitative knowledge of proteome aggregation and refolding in chronically stressed cells.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.
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Conference: Theory and Foundations of Statistics in the Era of Big Data
  • 批准号:
    2403813
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.48万
  • 财政年份:
    2024
  • 负责人:
    Xin Zhang
  • 依托单位:
Global Centers Track 1: Global Nitrogen Innovation Center for Clean Energy and Environment (NICCEE)
Aviation-to-Grid: Grid flexibility through multiscale modelling and integration of power systems with electrified air transport
  • 批准号:
    EP/W028905/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $51.33万
  • 财政年份:
    2023
  • 负责人:
    Xin Zhang
  • 依托单位:
Digitalisation of Electrical Power and Energy Systems Operation (DEEPS)
  • 批准号:
    MR/W011360/2
  • 项目类别:
    Fellowship
  • 资助金额:
    $178.07万
  • 财政年份:
    2023
  • 负责人:
    Xin Zhang
  • 依托单位:
国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位: