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Using microscopy to manipulate and visualize signal transduction in living cells.

机译:使用显微镜操作并可视化活细胞中的信号转导。

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摘要

Signaling events in cells are often localized and transient. Understanding how these pathways are regulated in space and time requires the development of new tools that reveal spatiotemporal transduction. Subcellular events can be visualized in real-time by high-resolution light microscopy. Technological advances in live-cell imaging have offered the means to not only observe the phenotypic consequences of signaling events, but to visualize and manipulate the activity of their components. This dissertation describes four studies in which microscopy is implemented to manipulate or visualize signal transduction in living cells. The first study demonstrates contributions to Chromophore Assisted Laser Inactivation, a light-mediated loss of function tool. The second study describes the generation of a new probe to visualize the activation of Src-family kinases. The third study utilizes a biosensor for the GTPase RhoA to reveal novel information about how this signaling component is spatiotemporally regulated in neurons. Finally, the fourth study describes a new computational method for the automated identification and tracking of protein structures called focal adhesions. Together these studies demonstrate the power of using microscopy to gain key insights to the spatiotemporal details of signal transduction.
机译:细胞中的信号事件通常是局部的和短暂的。要了解如何在时空上调节这些途径,就需要开发新工具来揭示时空转导。亚细胞事件可以通过高分辨率光学显微镜实时可视化。活细胞成像技术的进步提供了一种手段,不仅可以观察信号事件的表型后果,而且可以可视化并操纵其成分的活性。本文介绍了四项研究,其中显微镜被用来操纵或可视化活细胞中的信号转导。第一项研究证明了对发色团辅助的激光灭活(一种光介导的功能丧失工具)的贡献。第二项研究描述了一种新探针的产生,以可视化Src家族激酶的激活。第三项研究利用GTPase RhoA的生物传感器来揭示有关该信号成分在神经元中时空调控的新信息。最后,第四项研究描述了一种自动识别和跟踪蛋白质结构的新计算方法,称为粘着斑。这些研究共同证明了使用显微镜获得信号转导的时空细节的关键见解的力量。

著录项

  • 作者

    Vitriol, Eric Adam.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Biology Cell.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 126 p.
  • 总页数 126
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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