Suppr超能文献

植物(磷酸化)蛋白质组学的最新工作流程鉴定出玉米叶片中不同的干旱响应磷酸化事件。

Up-to-Date Workflow for Plant (Phospho)proteomics Identifies Differential Drought-Responsive Phosphorylation Events in Maize Leaves.

作者信息

Vu Lam Dai, Stes Elisabeth, Van Bel Michiel, Nelissen Hilde, Maddelein Davy, Inzé Dirk, Coppens Frederik, Martens Lennart, Gevaert Kris, De Smet Ive

机构信息

Department of Plant Systems Biology, VIB , 9052 Ghent, Belgium.

Department of Plant Biotechnology and Bioinformatics, Ghent University , 9052 Ghent, Belgium.

出版信息

J Proteome Res. 2016 Dec 2;15(12):4304-4317. doi: 10.1021/acs.jproteome.6b00348. Epub 2016 Oct 4.

Abstract

Protein phosphorylation is one of the most common post-translational modifications (PTMs), which can regulate protein activity and localization as well as protein-protein interactions in numerous cellular processes. Phosphopeptide enrichment techniques enable plant researchers to acquire insight into phosphorylation-controlled signaling networks in various plant species. Most phosphoproteome analyses of plant samples still involve stable isotope labeling, peptide fractionation, and demand a lot of mass spectrometry (MS) time. Here, we present a simple workflow to probe, map, and catalogue plant phosphoproteomes, requiring relatively low amounts of starting material, no labeling, no fractionation, and no excessive analysis time. Following optimization of the different experimental steps on Arabidopsis thaliana samples, we transferred our workflow to maize, a major monocot crop, to study signaling upon drought stress. In addition, we included normalization to protein abundance to identify true phosphorylation changes. Overall, we identified a set of new phosphosites in both Arabidopsis thaliana and maize, some of which are differentially phosphorylated upon drought. All data are available via ProteomeXchange with identifier PXD003634, but to provide easy access to our model plant and crop data sets, we created an online database, Plant PTM Viewer ( bioinformatics.psb.ugent.be/webtools/ptm_viewer/ ), where all phosphosites identified in our study can be consulted.

摘要

蛋白质磷酸化是最常见的翻译后修饰(PTM)之一,它可以在众多细胞过程中调节蛋白质活性、定位以及蛋白质 - 蛋白质相互作用。磷酸肽富集技术使植物研究人员能够深入了解各种植物物种中磷酸化控制的信号网络。大多数植物样品的磷酸化蛋白质组分析仍然涉及稳定同位素标记、肽段分级分离,并且需要大量的质谱(MS)分析时间。在此,我们提出了一种简单的工作流程,用于探测、绘制图谱和编目植物磷酸化蛋白质组,所需起始材料量相对较少,无需标记、无需分级分离,也无需过长的分析时间。在对拟南芥样品的不同实验步骤进行优化后,我们将工作流程应用于主要单子叶作物玉米,以研究干旱胁迫下的信号传导。此外,我们纳入了蛋白质丰度归一化以识别真正的磷酸化变化。总体而言,我们在拟南芥和玉米中均鉴定出了一组新的磷酸化位点,其中一些在干旱时会发生差异磷酸化。所有数据可通过ProteomeXchange获取,标识符为PXD003634,但为了方便访问我们的模式植物和作物数据集,我们创建了一个在线数据库,植物PTM查看器(bioinformatics.psb.ugent.be/webtools/ptm_viewer/),在该数据库中可以查阅我们研究中鉴定出的所有磷酸化位点。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验