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In-cell Structural Biology using Electron Paramagnetic Resonance Spectroscopy

In-cell Structural Biology using Electron Paramagnetic Resonance Spectroscopy
使用电子顺磁共振波谱进行细胞内结构生物学
批准号:
1996168
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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中文摘要
翻译
这项研究的目的是了解蛋白质组内发生的相互作用,以及生命所需的相互作用。为了实现这一点,我们首先需要了解相关蛋白质的结构和作用模式。该项目使用电子顺磁共振(EPR)光谱来确定蛋白质如何结合在一起,以及这种结构如何使它们发挥功能。EPR使我们能够测量电子自旋的能量,从而确定它们之间的相互作用。相互作用的变化取决于自旋之间的距离,因此我们可以使用EPR来推断自旋分离。通过将自旋附着在蛋白质的特定位置,我们可以确定蛋白质如何相互作用。EPR最适合于测量纳米距离,因此是一种补充更熟悉的X射线晶体学,电子显微镜和NMR方法的工具。迄今为止,大多数使用EPR进行的蛋白质结构研究都着眼于细胞环境之外的蛋白质。这给了我们一个很好的功能指示,但没有考虑到蛋白质行为的相互作用和变化作为一个更大的受调控系统的一部分。有很大的范围使用EPR的细胞内的测量,从而获得在一个自然的环境中的结构信息。研究蛋白质生物分子作用的动机是用定量证据确定蛋白质如何在细胞中发挥作用,以及这种作用模式的变化如何引起疾病。我们将使用各种不同的细胞系,蛋白质和自旋标记来测试我们的方法的适用性以及它可以应用的程度。
英文摘要
The aim of this research is to understand the interactions that occur within the proteome and as a consequence, the interactions required for life. To achieve this, we first need to understand the structures and modes of action of the proteins involved. This project uses electron paramagnetic resonance (EPR) spectroscopy to determine how proteins fit together and in turn how this structure enables their function. EPR allows us to measure the energies of electron spins, and so determine the interactions they have with each other. The interactions change dependent on the distance between spins, and so we can use EPR to infer spin separation. By attaching spins to proteins at specific positions we can determine how proteins physically interact with one another. EPR is best suited to measuring nanometre distances, and so is a tool that is complementary to the more familiar methods of X-ray crystallography, electron microscopy and NMR. To-date most structural studies of proteins using EPR have looked at the proteins outside the cellular environment. This gives us a good indication of the function, but doesn't take into account interactions and changes in protein behaviour as part of a larger, regulated system. There is great scope to use EPR for measurements inside cells and thus obtain structural information in a native environment. The motivation for this research into the biomolecular action of proteins is to determine with quantitative evidence how proteins perform their roles in the cell and how changes to this mode of action can give rise to disease. We will be working with a variety of different cell lines, proteins and spin labels to test the applicability of our methodology as well as the extent to which it can be applied.
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Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: