Khakzad Hamed, Happonen Lotta, Tran Van Nhieu Guy, Malmström Johan, Malmström Lars
Equipe Signalisation Calcique et Infections Microbiennes, Ecole Normale Supérieure Paris-Saclay, Gif-sur-Yvette, France.
Institut National de la Santé et de la Recherche Médicale U1282, Gif-sur-Yvette, France.
Front Genet. 2021 Jan 8;11:612475. doi: 10.3389/fgene.2020.612475. eCollection 2020.
Protein-protein interactions are central in many biological processes, but they are challenging to characterize, especially in complex samples. Protein cross-linking combined with mass spectrometry (MS) and computational modeling is gaining increased recognition as a viable tool in protein interaction studies. Here, we provide insights into the structure of the multicomponent human complement system membrane attack complex (MAC) using cross-linking MS combined with computational macromolecular modeling. We developed an affinity procedure followed by chemical cross-linking on human blood plasma using live to enrich for native MAC associated with the bacterial surface. In this highly complex sample, we identified over 100 cross-linked lysine-lysine pairs between different MAC components that enabled us to present a quaternary model of the assembled MAC in its native environment. Demonstrating the validity of our approach, this MAC model is supported by existing X-ray crystallographic and electron cryo-microscopic models. This approach allows the study of protein-protein interactions in native environment mimicking their natural milieu. Its high potential in assisting and refining data interpretation in electron cryo-tomographic experiments will be discussed.
蛋白质-蛋白质相互作用在许多生物过程中起着核心作用,但对其进行表征具有挑战性,尤其是在复杂样本中。蛋白质交联结合质谱(MS)和计算建模作为蛋白质相互作用研究中的一种可行工具,正日益受到认可。在这里,我们使用交联质谱结合计算大分子建模,深入了解多组分人类补体系统膜攻击复合物(MAC)的结构。我们开发了一种亲和方法,随后在人血浆中使用活细菌进行化学交联,以富集与细菌表面相关的天然MAC。在这个高度复杂的样本中,我们在不同的MAC组分之间鉴定出了100多个交联的赖氨酸-赖氨酸对,这使我们能够在其天然环境中呈现组装好的MAC的四级模型。现有X射线晶体学和电子冷冻显微镜模型支持了这个MAC模型,证明了我们方法的有效性。这种方法允许在模拟其天然环境的情况下研究天然环境中的蛋白质-蛋白质相互作用。将讨论其在协助和完善电子冷冻断层扫描实验数据解释方面的巨大潜力。