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通过Ti4+-IMAC进行单步富集和无标记定量能够以高重现性和时间分辨率深入监测磷酸化动力学。

Single-step enrichment by Ti4+-IMAC and label-free quantitation enables in-depth monitoring of phosphorylation dynamics with high reproducibility and temporal resolution.

作者信息

de Graaf Erik L, Giansanti Piero, Altelaar A F Maarten, Heck Albert J R

机构信息

From the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands; §Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, The Netherlands.

From the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands; §Netherlands Proteomics Centre, Padualaan 8, 3584 CH Utrecht, The Netherlands

出版信息

Mol Cell Proteomics. 2014 Sep;13(9):2426-34. doi: 10.1074/mcp.O113.036608. Epub 2014 May 21.

Abstract

Quantitative phosphoproteomics workflows traditionally involve additional sample labeling and fractionation steps for accurate and in-depth analysis. Here we report a high-throughput, straightforward, and comprehensive label-free phosphoproteomics approach using the highly selective, reproducible, and sensitive Ti(4+)-IMAC phosphopeptide enrichment method. We demonstrate the applicability of this approach by monitoring the phosphoproteome dynamics of Jurkat T cells stimulated by prostaglandin E2 (PGE2) over six different time points, measuring in total 108 snapshots of the phosphoproteome. In total, we quantitatively monitored 12,799 unique phosphosites over all time points with very high quantitative reproducibility (average r > 0.9 over 100 measurements and a median cv < 0.2). PGE2 is known to increase cellular cAMP levels, thereby activating PKA. The in-depth analysis revealed temporal regulation of a wide variety of phosphosites associated not only with PKA, but also with a variety of other classes of kinases. Following PGE2 stimulation, several pathways became only transiently activated, revealing that in-depth dynamic profiling requires techniques with high temporal resolution. Moreover, the large publicly available dataset provides a valuable resource for downstream PGE2 signaling dynamics in T cells, and cAMP-mediated signaling in particular. More generally, our method enables in-depth, quantitative, high-throughput phosphoproteome screening on any system, requiring very little sample, sample preparation, and analysis time.

摘要

传统的定量磷酸化蛋白质组学工作流程通常涉及额外的样品标记和分级步骤,以进行准确和深入的分析。在此,我们报告了一种高通量、直接且全面的无标记磷酸化蛋白质组学方法,该方法使用了高度选择性、可重复且灵敏的Ti(4+)-IMAC磷酸肽富集方法。我们通过监测前列腺素E2(PGE2)刺激Jurkat T细胞在六个不同时间点的磷酸化蛋白质组动态,总共测量了108个磷酸化蛋白质组快照,证明了该方法的适用性。在所有时间点上,我们总共定量监测了12,799个独特的磷酸化位点,具有非常高的定量重现性(100次测量的平均r>0.9,中位数cv<0.2)。已知PGE2会增加细胞内cAMP水平,从而激活PKA。深入分析揭示了不仅与PKA相关,而且与多种其他类别的激酶相关的各种磷酸化位点的时间调控。在PGE2刺激后,几条信号通路仅短暂激活,这表明深入的动态分析需要具有高时间分辨率的技术。此外,这个庞大的公开可用数据集为T细胞中PGE2信号动态,特别是cAMP介导的信号传导提供了宝贵的资源。更一般地说,我们的方法能够在任何系统上进行深入、定量、高通量的磷酸化蛋白质组筛选,所需的样品、样品制备和分析时间极少。

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