A Multiplexed SEC-MS Approach to Systematically Study the Interplay Between Protein Assembly-States and Phosphorylation Events.

Ella Doron-Mandel, Benjamin Judah Bokor, Yanzhe Ma, Lena Annika Street, Lauren Clarissa Tang, Ahmed Ali Abdou, Neel H Shah, George Rosenberger, Marko Jovanovic
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Abstract

Protein molecular interactions and post-translational modifications (PTMs), such as phosphorylation, can be co-dependent and reciprocally co-regulate each other. Although this interplay is central for many biological processes, a systematic method to simultaneously study assembly-states and PTMs from the same sample is critically missing. Here, we introduce SEC-MX (Size Exclusion Chromatography fractions MultipleXed), a global quantitative method combining Size Exclusion Chromatography and PTM-enrichment for simultaneous characterization of PTMs and assembly-states. SEC-MX enhances throughput, allows phosphopeptide enrichment, and facilitates quantitative differential comparisons between biological conditions. Applying SEC-MX to HEK293 and HCT116 cells, we generated a proof-of-concept dataset mapping thousands of phosphopeptides and their assembly-states. Our analysis revealed intricate relationships between phosphorylation events and assembly-states and generated testable hypotheses for follow-up studies. Overall, we establish SEC-MX as a valuable tool for exploring protein functions and regulation beyond abundance changes.

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SEC-TMT促进蛋白质相互作用网络的定量差异分析。
大多数细胞蛋白质与至少一个伴侣相互作用或组装成分子复合物以发挥其功能。蛋白质-蛋白质相互作用(PPIs)的网络和大分子机器的组成因细胞类型和生理条件而异。因此,表征PPI网络及其动态变化对于发现新的生物功能和细胞过程的潜在机制至关重要。然而,从给定样本中生成PPI的深入、全局快照需要测量数万次LC-MS/MS运行。因此,尽管最近的工作通过深入绘制PPI做出了开创性的贡献,但几乎所有的工作都只关注1-2个条件,产生了全面但大多是静态的PPI网络。在这项研究中,我们报道了SEC-TMT的发展,这是一种能够从每个生物样品仅4-8次LC-MS/MS运行中以定量方式识别和测量PPI的方法。这是通过将串联质量标签(TMT)多路复用与尺寸排阻色谱质谱(SEC-MS)工作流程结合来实现的。SEC-TMT将测量时间减少了一个数量级,同时保持了数千个细胞相互作用的分辨率和覆盖范围,相当于该领域的金标准。我们表明,SEC-TMT为进行差分分析以测量不同条件下PPI网络的变化提供了好处。这一发展使大规模研究动态系统变得可行,并有可能更快地发现PPI对细胞过程的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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