State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
Mol Plant. 2024 Jan 1;17(1):199-213. doi: 10.1016/j.molp.2023.11.010. Epub 2023 Nov 27.
Protein phosphorylation regulates a variety of important cellular and physiological processes in plants. In-depth profiling of plant phosphoproteomes has been more technically challenging than that of animal phosphoproteomes. This is largely due to the need to improve protein extraction efficiency from plant cells, which have a dense cell wall, and to minimize sample loss resulting from the stringent sample clean-up steps required for the removal of a large amount of biomolecules interfering with phosphopeptide purification and mass spectrometry analysis. To this end, we developed a method with a streamlined workflow for highly efficient purification of phosphopeptides from tissues of various green organisms including Arabidopsis, rice, tomato, and Chlamydomonas reinhardtii, enabling in-depth identification with high quantitative reproducibility of about 11 000 phosphosites, the greatest depth achieved so far with single liquid chromatography-mass spectrometry (LC-MS) runs operated in a data-dependent acquisition (DDA) mode. The mainstay features of the method are the minimal sample loss achieved through elimination of sample clean-up before protease digestion and of desalting before phosphopeptide enrichment and hence the dramatic increases of time- and cost-effectiveness. The method, named GreenPhos, combined with single-shot LC-MS, enabled in-depth quantitative identification of Arabidopsis phosphoproteins, including differentially phosphorylated spliceosomal proteins, at multiple time points during salt stress and a number of kinase substrate motifs. GreenPhos is expected to serve as a universal method for purification of plant phosphopeptides, which, if samples are further fractionated and analyzed by multiple LC-MS runs, could enable measurement of plant phosphoproteomes with an unprecedented depth using a given mass spectrometry technology.
蛋白质磷酸化调控着植物中多种重要的细胞和生理过程。与动物磷酸化蛋白质组学相比,植物磷酸化蛋白质组学的深入分析更具技术挑战性。这主要是因为需要提高从具有致密细胞壁的植物细胞中提取蛋白质的效率,并尽量减少由于需要严格的样品清洗步骤而导致的样品损失,这些步骤是为了去除大量干扰磷酸肽纯化和质谱分析的生物分子。为此,我们开发了一种方法,该方法具有简化的工作流程,可从各种绿色生物组织(包括拟南芥、水稻、番茄和莱茵衣藻)中高效地纯化磷酸肽,可深度鉴定,具有约 11000 个磷酸化位点的高定量重现性,这是迄今为止在 DDA 模式下进行单次液相色谱-质谱(LC-MS)运行中实现的最大深度。该方法的主要特点是通过在蛋白酶消化前消除样品清洗和在磷酸肽富集前脱盐,实现了最小的样品损失,从而大大提高了时间和成本效益。该方法命名为 GreenPhos,与单次 LC-MS 结合使用,能够深入定量鉴定拟南芥磷酸蛋白,包括在盐胁迫和多个激酶底物基序的多个时间点上的差异磷酸化剪接体蛋白。GreenPhos 有望成为一种通用的植物磷酸肽纯化方法,如果进一步对样品进行分级和通过多次 LC-MS 运行进行分析,则可以使用给定的质谱技术以空前的深度测量植物磷酸化蛋白质组。