Depke Maren, Michalik Stephan, Rabe Alexander, Surmann Kristin, Brinkmann Lars, Jehmlich Nico, Bernhardt Jörg, Hecker Michael, Wollscheid Bernd, Sun Zhi, Moritz Robert L, Völker Uwe, Schmidt Frank
ZIK-FunGene Junior Research Group "Applied Proteomics", Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Proteomics. 2015 Nov;15(21):3648-61. doi: 10.1002/pmic.201500091. Epub 2015 Sep 7.
Staphylococcus aureus is an opportunistic human pathogen, which can cause life-threatening disease. Proteome analyses of the bacterium can provide new insights into its pathophysiology and important facets of metabolic adaptation and, thus, aid the recognition of targets for intervention. However, the value of such proteome studies increases with their comprehensiveness. We present an MS-driven, proteome-wide characterization of the strain S. aureus HG001. Combining 144 high precision proteomic data sets, we identified 19 109 peptides from 2088 distinct S. aureus HG001 proteins, which account for 72% of the predicted ORFs. Peptides were further characterized concerning pI, GRAVY, and detectability scores in order to understand the low peptide coverage of 8.7% (19 109 out of 220 245 theoretical peptides). The high quality peptide-centric spectra have been organized into a comprehensive peptide fragmentation library (SpectraST) and used for identification of S. aureus-typic peptides in highly complex host-pathogen interaction experiments, which significantly improved the number of identified S. aureus proteins compared to a MASCOT search. This effort now allows the elucidation of crucial pathophysiological questions in S. aureus-specific host-pathogen interaction studies through comprehensive proteome analysis. The S. aureus-specific spectra resource developed here also represents an important spectral repository for SRM or for data-independent acquisition MS approaches. All MS data have been deposited in the ProteomeXchange with identifier PXD000702 (http://proteomecentral.proteomexchange.org/dataset/PXD000702).
金黄色葡萄球菌是一种机会性人类病原体,可导致危及生命的疾病。对该细菌的蛋白质组分析可为其病理生理学以及代谢适应的重要方面提供新的见解,从而有助于识别干预靶点。然而,此类蛋白质组研究的价值会随着其全面性而增加。我们展示了一种基于质谱的、对金黄色葡萄球菌HG001菌株进行全蛋白质组表征的方法。结合144个高精度蛋白质组数据集,我们从2088种不同的金黄色葡萄球菌HG001蛋白质中鉴定出19109个肽段,这些肽段占预测开放阅读框的72%。为了理解8.7%的低肽段覆盖率(220245个理论肽段中的19109个),我们进一步对肽段的等电点、亲水性总平均值(GRAVY)和可检测性得分进行了表征。高质量的以肽段为中心的光谱已被整理成一个全面的肽段裂解库(SpectraST),并用于在高度复杂的宿主-病原体相互作用实验中鉴定金黄色葡萄球菌典型肽段,与MASCOT搜索相比,这显著提高了鉴定出的金黄色葡萄球菌蛋白质的数量。通过全面的蛋白质组分析,这项工作现在能够阐明金黄色葡萄球菌特异性宿主-病原体相互作用研究中的关键病理生理学问题。此处开发的金黄色葡萄球菌特异性光谱资源也代表了用于选择反应监测(SRM)或数据非依赖采集质谱方法的重要光谱库。所有质谱数据已存入蛋白质组交换库,标识符为PXD000702(http://proteomecentral.proteomexchange.org/dataset/PXD000702)。