Single Molecule Imaging to Quantify FC??RI Signaling Dynamics

描述（由申请人提供）：肥大细胞活化的关键参与者是高亲和力IgE受体Fc5RI。虽然我们对Fc？通过多价抗原，我们对蛋白质动力学如何促进信号传导的理解存在根本差距。我们的长期目标是了解蛋白质相互作用的动态和随机行为如何影响信号传播。本提案的目的是量化Fc？国际扶轮的信号。我们的中心假设是蛋白质-蛋白质相互作用的持续时间调节信号传导的结果。提出这项研究的基本原理是，理解蛋白质-蛋白质相互作用动力学在信号传导中的作用是理解细胞如何塑造免疫反应的强度和质量的下一步。我们将整合多种成像模式，包括新颖的和已建立的，以捕获和量化控制Fc？RI膜相关信号传导，以实现三个具体目标：1)确定促进Fc的相互作用寿命和扩散动力学？国际扶轮激活;2)量化Syk接头蛋白与信号复合物结合的动力学；3)确定LAT的簇稳定性和Fc？RI和LAT信号补丁。该方法是创新的，因为我们将开发在分子水平上成像生化事件的方法，这将使我们能够获得使用传统生物化学技术无法确定的信号事件的动态信息。我们提出的研究具有重要意义，因为我们提出的定量信息之前没有被直接测量过，并将为细胞生物学社区带来新的视角。此外，这里描述的多色单分子成像技术的发展将适用于许多其他基本生物学问题。我们获得的关于Fc5RI信令的信息将有助于填补Fc5RI如何启动信令的知识空白。最终，我们期望这些信息将为靶向蛋白质相互作用和定位的药物设计开辟新的途径。

DESCRIPTION (provided by applicant): A key player in mast cell activation is the high affinity IgE receptor, Fc5RI. While much is known about the chain of events initiated by crosslinking of Fc?RI through multivalent antigen, there is a fundamental gap in our understanding of how protein dynamics facilitate signaling. Our long term goal is to understand how the dynamic and stochastic behavior of protein-protein interactions influences signal propagation. The objective of this proposal is to quantify dynamic protein interactions during early events in Fc?RI signaling. Our central hypothesis is that the duration of protein-protein interactions modulates the signaling outcome. The rationale for the proposed research is that understanding the role of protein-protein interaction dynamics in signaling is the next step in understanding how the cell shapes the strength and quality of an immune response. We will integrate multiple imaging modalities, both novel and established, to capture and quantify early events that govern Fc?RI membrane associated signaling in order to achieve three specific aims: 1) To determine the interaction lifetime and diffusional dynamics that facilitate Fc?RI activation; 2) To quantify the kinetics of Syk adaptor protein binding to the signaling complex; and 3) To determine the cluster stability of LAT and the interplay between Fc?RI and LAT signaling patches. The approach is innovative because we will develop methodology for imaging biochemical events at the molecular level that will allow us to obtain dynamic information about signaling events that cannot be determined using traditional biochemistry techniques. The proposed research is significant because the quantitative information that we propose to obtain has not been directly measured before and will bring new perspectives to the cell biology community. Furthermore, the development of multi-color single molecule imaging techniques described here will be applicable to many other fundamental biological questions. The information we gain about Fc5RI signaling will help to fill the gaps in our knowledge of how Fc5RI initiates signaling. Ultimately, we expect that this information will open new avenues for drug design that target protein interactions and localization.