4.7 Article

Quantitative Proteomic View on Secreted, Cell Surface-Associated, and Cytoplasmic Proteins of the Methicillin-Resistant Human Pathogen Staphylococcus aureus under Iron-Limited Conditions

期刊

JOURNAL OF PROTEOME RESEARCH
卷 10, 期 4, 页码 1657-1666

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr1009838

关键词

trypsin shaving; biotinylation; cell surface proteins; mass spectrometry; N-14/N-15 metabolic labeling; Staphylococcus aureus; iron limitation

资金

  1. Deutsche Forschungsgemeinschaft [SFB/TR34]
  2. Excellence Initiative [UG08010]

向作者/读者索取更多资源

Staphylococcus aureus is capable of colonizing and infecting humans by its arsenal of surface-exposed and secreted proteins. Iron-limited conditions in mammalian body fluids serve as a major environmental signal to bacteria to express virulence determinants. Here we present a comprehensive, gel-free, and GeLC-MS/MS-based quantitative proteome profiling of S. aureus under this infection-relevant situation. (NN)-N-14-N-15 metabolic labeling and three complementing approaches were combined for relative quantitative analyses of surface-associated proteins. The surface-exposed and secreted proteome profiling approaches comprise trypsin shaving, biotinylation, and precipitation of the supernatant. By analysis of the outer subproteomic and cytoplasmic protein fraction, 1210 proteins could be identified including 221 surface-associated proteins. Thus, access was enabled to 70% of the predicted cell wall-associated proteins, 80% of the predicted sortase substrates, two/thirds of lipoproteins and more than 50% of secreted and cytoplasmic proteins. For iron-deficiency, 158 surface-associated proteins were quantified. Twenty-nine proteins were found in altered amounts showing particularly surface-exposed proteins strongly induced, such as the iron-regulated surface determinant proteins IsdA, IsdB, IsdC and IsdD as well as lipid-anchored iron compound-binding proteins. The work presents a crucial subject for understanding S. aureus pathophysiology by the use of methods that allow quantitative surface proteome profiling.

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