Chylek Lily A, Akimov Vyacheslav, Dengjel Jörn, Rigbolt Kristoffer T G, Hu Bin, Hlavacek William S, Blagoev Blagoy
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America; Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, United States of America.
Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark.
PLoS One. 2014 Aug 22;9(8):e104240. doi: 10.1371/journal.pone.0104240. eCollection 2014.
In adaptive immune responses, T-cell receptor (TCR) signaling impacts multiple cellular processes and results in T-cell differentiation, proliferation, and cytokine production. Although individual protein-protein interactions and phosphorylation events have been studied extensively, we lack a systems-level understanding of how these components cooperate to control signaling dynamics, especially during the crucial first seconds of stimulation. Here, we used quantitative proteomics to characterize reshaping of the T-cell phosphoproteome in response to TCR/CD28 co-stimulation, and found that diverse dynamic patterns emerge within seconds. We detected phosphorylation dynamics as early as 5 s and observed widespread regulation of key TCR signaling proteins by 30 s. Development of a computational model pointed to the presence of novel regulatory mechanisms controlling phosphorylation of sites with central roles in TCR signaling. The model was used to generate predictions suggesting unexpected roles for the phosphatase PTPN6 (SHP-1) and shortcut recruitment of the actin regulator WAS. Predictions were validated experimentally. This integration of proteomics and modeling illustrates a novel, generalizable framework for solidifying quantitative understanding of a signaling network and for elucidating missing links.
在适应性免疫反应中,T细胞受体(TCR)信号传导影响多个细胞过程,并导致T细胞分化、增殖和细胞因子产生。尽管个别蛋白质-蛋白质相互作用和磷酸化事件已被广泛研究,但我们缺乏对这些组件如何协同控制信号动力学的系统层面理解,尤其是在刺激的关键最初几秒内。在此,我们使用定量蛋白质组学来表征T细胞磷酸化蛋白质组对TCR/CD28共刺激的重塑,并发现数秒内出现了多种动态模式。我们最早在5秒时检测到磷酸化动力学,并在30秒时观察到关键TCR信号蛋白的广泛调控。一个计算模型的建立表明存在控制在TCR信号传导中起核心作用的位点磷酸化的新型调控机制。该模型用于生成预测,提示磷酸酶PTPN6(SHP-1)和肌动蛋白调节剂WAS的捷径募集具有意想不到的作用。预测结果通过实验得到验证。蛋白质组学与建模的这种整合说明了一个新颖的、可推广的框架,用于巩固对信号网络的定量理解并阐明缺失环节。