Püttker Sebastian, Kohrs Fabian, Benndorf Dirk, Heyer Robert, Rapp Erdmann, Reichl Udo
Bioprocess Engineering, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
Proteomics. 2015 Oct;15(20):3596-601. doi: 10.1002/pmic.201400559. Epub 2015 Aug 20.
In this study, the impact of protein fractionation techniques prior to LC/MS analysis was investigated on activated sludge samples derived at winter and summer condition from a full-scale wastewater treatment plant (WWTP). For reduction of the sample complexity, different fractionation techniques including RP-LC (1D-approach), SDS-PAGE and RP-LC (2D-approach) as well as RP-LC, SDS-PAGE and liquid IEF (3D-approach) were carried out before subsequent ion trap MS analysis. The derived spectra were identified by MASCOT search using a combination of the public UniProtKB/Swiss-Prot protein database and metagenome data from a WWTP. The results showed a significant increase of identified spectra, enabled by applying IEF and SDS-PAGE to the proteomic workflow. Based on meta-proteins, a core metaproteome and a corresponding taxonomic profile of the wastewater activated sludge were described. Functional aspects were analyzed using the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway library by plotting KEGG Orthology identifiers (KO numbers) of protein hits into pathway maps of the central carbon (map01200) and nitrogen metabolism (map00910). Using the 3D-approach, most proteins involved in glycolysis and citrate cycle and nearly all proteins of the nitrogen removal were identified, qualifying this approach as most promising for future studies. All MS data have been deposited in the ProteomeXchange with identifier PXD001547 (http://proteomecentral.proteomexchange.org/dataset/PXD001547).
在本研究中,考察了液相色谱/质谱分析前蛋白质分级分离技术对取自某大型污水处理厂冬季和夏季活性污泥样品的影响。为降低样品复杂性,在后续离子阱质谱分析之前,采用了不同的分级分离技术,包括反相液相色谱(一维方法)、十二烷基硫酸钠-聚丙烯酰胺凝胶电泳和反相液相色谱(二维方法),以及反相液相色谱、十二烷基硫酸钠-聚丙烯酰胺凝胶电泳和液相等电聚焦(三维方法)。通过使用公共的UniProtKB/Swiss-Prot蛋白质数据库和污水处理厂的宏基因组数据相结合的方式,利用MASCOT搜索对所得光谱进行鉴定。结果表明,通过在蛋白质组学工作流程中应用等电聚焦和十二烷基硫酸钠-聚丙烯酰胺凝胶电泳,鉴定出的光谱显著增加。基于元蛋白质,描述了废水活性污泥的核心元蛋白质组和相应的分类学概况。通过将蛋白质命中的京都基因与基因组百科全书(KEGG)直系同源标识符(KO编号)绘制到中心碳代谢(map01200)和氮代谢(map00910)的通路图中,使用KEGG通路库分析功能方面。使用三维方法,鉴定出了大多数参与糖酵解和柠檬酸循环的蛋白质以及几乎所有的脱氮蛋白质,这使得该方法成为未来研究中最有前景的方法。所有质谱数据已存入ProteomeXchange,标识符为PXD001547(http://proteomecentral.proteomexchange.org/dataset/PXD001547)。