Institute of Biochemical Plant Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764 Neuherberg, Germany.
Plant Physiol. 2012 Jul;159(3):902-14. doi: 10.1104/pp.112.198077. Epub 2012 May 3.
The field of proteomics suffers from the immense complexity of even small proteomes and the enormous dynamic range of protein concentrations within a given sample. Most protein samples contain a few major proteins, which hamper in-depth proteomic analysis. In the human field, combinatorial hexapeptide ligand libraries (CPLL; such as ProteoMiner) have been used for reduction of the dynamic range of protein concentrations; however, this technique is not established in plant research. In this work, we present the application of CPLL to Arabidopsis (Arabidopsis thaliana) leaf proteins. One- and two-dimensional gel electrophoresis showed a decrease in high-abundance proteins and an enrichment of less abundant proteins in CPLL-treated samples. After optimization of the CPLL protocol, mass spectrometric analyses of leaf extracts led to the identification of 1,192 proteins in control samples and an additional 512 proteins after the application of CPLL. Upon leaf infection with virulent Pseudomonas syringae DC3000, CPLL beads were also used for investigating the bacterial infectome. In total, 312 bacterial proteins could be identified in infected Arabidopsis leaves. Furthermore, phloem exudates of pumpkin (Cucurbita maxima) were analyzed. CPLL prefractionation caused depletion of the major phloem proteins 1 and 2 and improved phloem proteomics, because 67 of 320 identified proteins were detectable only after CPLL treatment. In sum, our results demonstrate that CPLL beads are a time- and cost-effective tool for reducing major proteins, which often interfere with downstream analyses. The concomitant enrichment of less abundant proteins may facilitate a deeper insight into the plant proteome.
蛋白质组学领域受到即使是小蛋白质组的巨大复杂性和给定样品中蛋白质浓度的巨大动态范围的影响。大多数蛋白质样品含有几种主要蛋白质,这阻碍了深入的蛋白质组学分析。在人类领域,组合六肽配体文库(CPLL;如 ProteoMiner)已被用于减少蛋白质浓度的动态范围;然而,这项技术在植物研究中尚未建立。在这项工作中,我们展示了 CPLL 在拟南芥(Arabidopsis thaliana)叶片蛋白质中的应用。一维和二维凝胶电泳显示,CPLL 处理的样品中高丰度蛋白质减少,低丰度蛋白质富集。在优化 CPLL 方案后,对叶片提取物进行质谱分析,在对照样品中鉴定出 1192 种蛋白质,在应用 CPLL 后鉴定出另外 512 种蛋白质。在叶片受到强毒丁香假单胞菌 DC3000 感染后,CPLL 珠还被用于研究细菌感染组。总共可以鉴定出 312 种细菌蛋白质。此外,还分析了南瓜(Cucurbita maxima)的韧皮部渗出物。CPLL 预分级导致主要韧皮部蛋白质 1 和 2 的耗尽,并改善了韧皮部蛋白质组学,因为只有在 CPLL 处理后才能检测到 320 种鉴定蛋白质中的 67 种。总之,我们的结果表明 CPLL 珠是一种减少主要蛋白质的高效、经济的工具,这些蛋白质通常会干扰下游分析。较少丰度蛋白质的同时富集可能更深入地了解植物蛋白质组。