Caron Etienne, Roncagalli Romain, Hase Takeshi, Wolski Witold E, Choi Meena, Menoita Marisa G, Durand Stephane, García-Blesa Antonio, Fierro-Monti Ivo, Sajic Tatjana, Heusel Moritz, Weiss Tobias, Malissen Marie, Schlapbach Ralph, Collins Ben C, Ghosh Samik, Kitano Hiroaki, Aebersold Ruedi, Malissen Bernard, Gstaiger Matthias
Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Centre d'Immunologie de Marseille-Luminy, Aix Marseille Université, INSERM, CNRS, 13288 Marseille, France.
Cell Rep. 2017 Mar 28;18(13):3219-3226. doi: 10.1016/j.celrep.2017.03.019.
Spatiotemporal organization of protein interactions in cell signaling is a fundamental process that drives cellular functions. Given differential protein expression across tissues and developmental stages, the architecture and dynamics of signaling interaction proteomes is, likely, highly context dependent. However, current interaction information has been almost exclusively obtained from transformed cells. In this study, we applied an advanced and robust workflow combining mouse genetics and affinity purification (AP)-SWATH mass spectrometry to profile the dynamics of 53 high-confidence protein interactions in primary T cells, using the scaffold protein GRB2 as a model. The workflow also provided a sufficient level of robustness to pinpoint differential interaction dynamics between two similar, but functionally distinct, primary T cell populations. Altogether, we demonstrated that precise and reproducible quantitative measurements of protein interaction dynamics can be achieved in primary cells isolated from mammalian tissues, allowing resolution of the tissue-specific context of cell-signaling events.
细胞信号传导中蛋白质相互作用的时空组织是驱动细胞功能的基本过程。鉴于蛋白质在不同组织和发育阶段的差异表达,信号相互作用蛋白质组的结构和动态可能高度依赖于具体环境。然而,目前的相互作用信息几乎完全来自转化细胞。在本研究中,我们应用了一种先进且稳健的工作流程,将小鼠遗传学与亲和纯化(AP)-SWATH质谱相结合,以支架蛋白GRB2为模型,分析原代T细胞中53种高可信度蛋白质相互作用的动态变化。该工作流程还具备足够的稳健性,能够精准识别两个相似但功能不同的原代T细胞群体之间的差异相互作用动态。总之,我们证明了在从哺乳动物组织分离的原代细胞中,可以实现对蛋白质相互作用动态的精确且可重复的定量测量,从而解析细胞信号事件的组织特异性背景。