Time-resolved quantitative proteome profiling of host–pathogen interactions: The response of...
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This article was originally published in Proteomics 2010, 10, 2801–2811, DOI 10.1002/pmic.201000045
Time-resolved quantitative proteome profiling of
host–pathogen interactions: The response of
Staphylococcus aureus RN1HG to internalisation by
human airway epithelial cells
Frank Schmidt, Sandra S. Scharf, Petra Hildebrandt, Marc Burian, Jorg Bernhardt,Vishnu Dhople, Julia Kalinka, Melanie Gutjahr, Elke Hammer and Uwe Volker
Keywords:
Host–pathogen interaction / In vivo proteomics / Microbiology / Pulse-chase SILAC / S. aureus /
S9 human bronchial epithelial cells
Staphylococcus aureus is a versatile Gram-positive pathogen
that gains increasing importance due to the rapid spreading
of resistances. Functional genomics technologies can provide
new insights into the adaptational network of this bacterium
and its response to environmental challenges. While func-
tional genomics technologies, including proteomics, have
been extensively used to study these phenomena in shake
flask cultures, studies of bacteria from in vivo settings lack
behind. Particularly for proteomics studies, the major
bottleneck is the lack of sufficient proteomic coverage for low
numbers of cells. In this study, we introduce a workflow that
combines a pulse-chase stable isotope labelling by amino
acids in cell culture approach with high capacity cell sorting,
on-membrane digestion, and high-sensitivity MS to detect
and quantitatively monitor several hundred S. aureus proteins
from a few million internalised bacteria. This workflow has
been used in a proof-of-principle experiment to reveal chan-
ges in levels of proteins with a function in protection against
oxidative damage and adaptation of cell wall synthesis in
strain RN1HG upon internalisation by S9 human bronchial
epithelial cells.Quantitative analysis of changes in the protein level of inter-
nalised S. aureus RN1HG.
& 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.clinical.proteomics-journal.com
Proteomics Clin. Appl. 2010, 4, 847–866 861