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大规模蛋白质磷酸化分析揭示了拟南芥中新型的磷酸化基序和磷酸化调控网络。

A large-scale protein phosphorylation analysis reveals novel phosphorylation motifs and phosphoregulatory networks in Arabidopsis.

机构信息

State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR, China.

出版信息

J Proteomics. 2013 Jan 14;78:486-98. doi: 10.1016/j.jprot.2012.10.018. Epub 2012 Oct 27.

Abstract

Large-scale protein phosphorylation analysis by MS is emerging as a powerful tool in plant signal transduction research. However, our current understanding of the phosphorylation regulatory network in plants is still very limited. Here, we report on a proteome-wide profiling of phosphopeptides in nine-day-old Arabidopsis (Arabidopsis thaliana) seedlings by using an enrichment method combining the titanium (Ti(4+))-based IMAC and the RP-strong cation exchange (RP-SCX) biphasic trap column-based online RPLC. Through the duplicated RPLC-MS/MS analyses, we identified 5348 unique phosphopeptides for 2552 unique proteins. Among the phosphoproteins identified, 41% of them were first-time identified. Further evolutionary conservation and phosphorylation motif analyses of the phosphorylation sites discovered 100 highly conserved phosphorylation residues and identified 17 known and 14 novel motifs specific for Ser/Thr protein kinases. Gene ontology and pathway analyses revealed that many of the new identified phosphoproteins are important regulatory proteins that are involved in diverse biological processes, particularly in central metabolisms and cell signaling. Taken together, our results provided not only new insights into the complex phosphoregulatory network in plants but also important resources for future functional studies of protein phosphorylation in plant growth and development.

摘要

通过 MS 进行大规模蛋白质磷酸化分析正在成为植物信号转导研究的有力工具。然而,我们目前对植物中磷酸化调控网络的理解仍然非常有限。在这里,我们通过使用结合钛 (Ti(4+)) 基 IMAC 和 RP-强阳离子交换 (RP-SCX) 双相捕获柱在线 RPLC 的富集方法,报告了对 9 天大的拟南芥(Arabidopsis thaliana)幼苗中的磷酸肽进行的全蛋白质组谱分析。通过重复的 RPLC-MS/MS 分析,我们鉴定了 2552 种独特蛋白质的 5348 种独特磷酸肽。在所鉴定的磷酸蛋白中,其中 41%是首次鉴定。对发现的磷酸化位点进行进一步的进化保守性和磷酸化基序分析,鉴定了 100 个高度保守的磷酸化残基和 17 个已知的和 14 个新的丝氨酸/苏氨酸蛋白激酶特异性基序。GO 和途径分析表明,许多新鉴定的磷酸蛋白是重要的调节蛋白,参与多种生物学过程,特别是在中心代谢和细胞信号转导中。总之,我们的结果不仅为植物中复杂的磷酸化调控网络提供了新的见解,而且为植物生长和发育中蛋白质磷酸化的未来功能研究提供了重要资源。

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