Wu Xu Na, Xi Lin, Pertl-Obermeyer Heidi, Li Zhi, Chu Liang-Cui, Schulze Waltraud X
Department of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany.
Front Plant Sci. 2017 Sep 27;8:1673. doi: 10.3389/fpls.2017.01673. eCollection 2017.
Mass spectrometry (MS)-based large scale phosphoproteomics has facilitated the investigation of plant phosphorylation dynamics on a system-wide scale. However, generating large scale data sets for membrane phosphoproteins usually requires fractionation of samples and extended hands-on laboratory time. To overcome these limitations, we developed "ShortPhos," an efficient and simple phosphoproteomics protocol optimized for research on plant membrane proteins. The optimized workflow allows fast and efficient identification and quantification of phosphopeptides, even from small amounts of starting plant materials. "ShortPhos" can produce label-free datasets with a high quantitative reproducibility. In addition, the "ShortPhos" protocol recovered more phosphorylation sites from membrane proteins, especially plasma membrane and vacuolar proteins, when compared to our previous workflow and other membrane-based data in the PhosPhAt 4.0 database. We applied "ShortPhos" to study kinase-substrate relationships within a nitrate-induction experiment on roots. The "ShortPhos" identified significantly more known kinase-substrate relationships compared to previous phosphoproteomics workflows, producing new insights into nitrate-induced signaling pathways.
基于质谱(MS)的大规模磷酸化蛋白质组学有助于在全系统范围内研究植物磷酸化动态。然而,生成膜磷酸化蛋白质的大规模数据集通常需要对样品进行分级分离,并延长实验室实际操作时间。为了克服这些限制,我们开发了“ShortPhos”,这是一种针对植物膜蛋白研究优化的高效且简单的磷酸化蛋白质组学方案。优化后的工作流程能够快速、高效地鉴定和定量磷酸肽,即使是从少量起始植物材料中也能做到。“ShortPhos”可以生成具有高定量重现性的无标记数据集。此外,与我们之前的工作流程以及PhosPhAt 4.0数据库中的其他基于膜的数据相比,“ShortPhos”方案从膜蛋白,尤其是质膜和液泡蛋白中回收了更多的磷酸化位点。我们应用“ShortPhos”在根的硝酸盐诱导实验中研究激酶-底物关系。与之前的磷酸化蛋白质组学工作流程相比,“ShortPhos”鉴定出了显著更多的已知激酶-底物关系,为硝酸盐诱导的信号通路提供了新的见解。