Proteomics

Dataset Information

0

Proteogenomic and metabolic adaptations of Staphylococcus aureus


ABSTRACT: Background: Chronic lung infection of cystic fibrosis (CF) patients by Staphylococcus aureus is a well-established epidemiological fact. Indeed, S. aureus is the most commonly identified pathogen in the lungs of CF patients. Strikingly the molecular mechanisms underlying S. aureus persistency are not understood. Methods: To gain insights into S. aureus adaptation to CF lungs, we selected pairs of sequential S. aureus isolates from 3 patients with CF and from one patient with non-CF chronic lung disease. We used a combination of genomic, proteomic and metabolomic approaches with functional assays for in-depth characterization of S. aureus long-term persistence during chronic lung infection. Results: For the first time, we show that late S. aureus isolates from CF patients have an increased ability for intracellular survival in CFBE-F508del cells compared to ancestral early isolates. Importantly, the increased ability to persist intracellularly was confirmed for S. aureus isolates within the own patient F508del epithelial cells. An increased ability to form biofilm was also demonstrated. Furthermore, to explain observed phenotypic adaptations, we identified the underlying genetic modifications inducing altered protein expression profiles and notable metabolic changes. These modifications affect several metabolic pathways (e.g., pantothenate and fatty acids) and virulence regulators (encoded by agr and sae loci) that could constitute therapeutic targets. Conclusions: Our results strongly suggest that the intracellular environment might constitute an important niche of persistence and relapse necessitating adapted antibiotic treatments.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Staphylococcus Aureus

SUBMITTER: Chiara guerrera  

LAB HEAD: I Chiara GUERRERA

PROVIDER: PXD011281 | Pride | 2021-03-29

REPOSITORIES: Pride

Similar Datasets

2019-11-01 | GSE139662 | GEO
2014-05-29 | E-GEOD-50207 | biostudies-arrayexpress
2020-01-27 | GSE131862 | GEO
2014-03-28 | E-GEOD-55397 | biostudies-arrayexpress
2013-04-16 | E-GEOD-45716 | biostudies-arrayexpress
2010-05-19 | E-GEOD-17983 | biostudies-arrayexpress
2009-11-02 | E-GEOD-18079 | biostudies-arrayexpress
2010-03-23 | E-GEOD-20027 | biostudies-arrayexpress
2011-12-06 | E-GEOD-34197 | biostudies-arrayexpress
2012-06-30 | E-GEOD-38460 | biostudies-arrayexpress