TY - JOUR
T1 - iTRAQ-based proteome analysis of fluoroquinolone-resistant Staphylococcus aureus
AU - Thai, Van Chi
AU - Lim, Teck Kwang
AU - Le, Kim Phuong Uyen
AU - Lin, Qingsong
AU - Nguyen, Thi Thu Hoai
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Objectives The aim of this study was to compare global protein expression changes during fluoroquinolone (FQ) exposure of Staphylococcus aureus. Methods Total protein extracts of wild-type S. aureus ATCC 29213 and six multidrug-resistant (MDR) strains derived from the wild-type under different FQ exposures were analysed using the 8-plex isobaric tag for relative and absolute quantitation (iTRAQ) method combined with LC–MS/MS analysis. Differentially expressed proteins were searched for their Gene Ontology (GO) annotation (UniProt database) and protein–protein interaction network (STRING v.10.0). recA expression was determined by real-time quantitative reverse transcription PCR (qRT-PCR) analysis. Results Overall, 582 unique proteins were identified at a confidence level of >95% (unused cut-off?>1.3). After strict filtering for proteins with significant expression changes in comparison with the wild-type S. aureus ATCC 29213, 147 unique proteins were identified. GO searching showed that development of FQ resistance was associated with altered expression of various proteins involved in the SOS response (RecA), antibiotic resistance (MgrA), pathogenesis (uncharacterised leukocidin-like proteins 1 and 2, immunoglobulin-binding protein Sbi, triosephosphate isomerase, enolase, EsxA, SaeR, SarA, MgrA) and the stress response (alkyl hydroperoxide reductase subunit C, ClpB, ClpC, ClpL, ClpX, HslU, l-lactate dehydrogenase 1 and 2, SAV1710). Network analysis of antibiotic resistance-related proteins identified three major protein clusters involved in metabolic pathways, aminoacyl-tRNA biosynthesis and ribosome structure. qRT-PCR results were consistent with the proteomics data. Conclusions Development of resistance to multiple drugs, including FQs, under drug exposure mostly involves upregulation of SOS and stress response proteins. © 2016
AB - Objectives The aim of this study was to compare global protein expression changes during fluoroquinolone (FQ) exposure of Staphylococcus aureus. Methods Total protein extracts of wild-type S. aureus ATCC 29213 and six multidrug-resistant (MDR) strains derived from the wild-type under different FQ exposures were analysed using the 8-plex isobaric tag for relative and absolute quantitation (iTRAQ) method combined with LC–MS/MS analysis. Differentially expressed proteins were searched for their Gene Ontology (GO) annotation (UniProt database) and protein–protein interaction network (STRING v.10.0). recA expression was determined by real-time quantitative reverse transcription PCR (qRT-PCR) analysis. Results Overall, 582 unique proteins were identified at a confidence level of >95% (unused cut-off?>1.3). After strict filtering for proteins with significant expression changes in comparison with the wild-type S. aureus ATCC 29213, 147 unique proteins were identified. GO searching showed that development of FQ resistance was associated with altered expression of various proteins involved in the SOS response (RecA), antibiotic resistance (MgrA), pathogenesis (uncharacterised leukocidin-like proteins 1 and 2, immunoglobulin-binding protein Sbi, triosephosphate isomerase, enolase, EsxA, SaeR, SarA, MgrA) and the stress response (alkyl hydroperoxide reductase subunit C, ClpB, ClpC, ClpL, ClpX, HslU, l-lactate dehydrogenase 1 and 2, SAV1710). Network analysis of antibiotic resistance-related proteins identified three major protein clusters involved in metabolic pathways, aminoacyl-tRNA biosynthesis and ribosome structure. qRT-PCR results were consistent with the proteomics data. Conclusions Development of resistance to multiple drugs, including FQs, under drug exposure mostly involves upregulation of SOS and stress response proteins. © 2016
UR - http://www.scopus.com/inward/record.url?scp=85008192314&partnerID=8YFLogxK
U2 - 10.1016/j.jgar.2016.11.003
DO - 10.1016/j.jgar.2016.11.003
M3 - Article
SN - 2213-7165
VL - 8
SP - 82
EP - 89
JO - Journal of Global Antimicrobial Resistance
JF - Journal of Global Antimicrobial Resistance
ER -