一个新的蛋白质组学工作流程,用于同时分析蛋白质磷酸化和s -亚硝基化

IF 5 4区 农林科学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Wenyang Zhang, Yanjiao Wang, Wenyan Li, Shaowen Wu, Yuanyuan Chen, Mingyang Ye, Wenjie Huang, Alisdair R. Fernie, Shijuan Yan
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引用次数: 0

摘要

蛋白质的翻译后修饰,如磷酸化和s -亚硝基化,调节着真核生物的蛋白质功能和细胞程序。此外,大量证据表明这些修改之间存在串扰。然而,我们缺乏一种综合的方法来同时检测和分析多种翻译后修饰。在这里,我们提出了一个优化的工作流程,使用一种新的磷酸盐亲和标签开关技术来识别磷酸化和s -亚硝基化位点。模型蛋白和复杂生物样品的验证证实了该方法的高灵敏度、覆盖范围和可重复性。将该方法应用于拟南芥幼苗,发现了12552个磷酸化位点和6108个s -亚硝基化位点,这是迄今为止最大的s -亚硝基化位点单次研究数据集。这种方法增强了我们对植物信号、胁迫反应和代谢的翻译后修饰动力学的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel proteomics workflow for simultaneous analysis of protein phosphorylation and S-nitrosylation

Protein post-translational modifications such as phosphorylation and S-nitrosylation regulate protein functions and cellular programs in eukaryotes. Moreover, extensive evidence suggests crosstalk between these modifications. However, we lack a comprehensive method for the simultaneous detection and analysis of multiple post-translational modifications. Here, we present an optimized workflow that identifies phosphorylation and S-nitrosylation sites using a novel phosphate affinity tag switch technique. Validation with model proteins and complex biological samples confirmed the high sensitivity, coverage, and reproducibility of this method. Applying this method to Arabidopsis thaliana seedlings revealed 12,552 phosphorylation sites and 6,108 S-nitrosylation sites, representing the largest single-study dataset of S-nitrosylation sites to date. This approach enhances our understanding of post-translational modification dynamics in plant signaling, stress responses, and metabolism.

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CiteScore
7.70
自引率
2.80%
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