Surface-Shaving of Staphylococcus aureus Strains and Quantitative Proteomic Analysis Reveal Differences in Protein Abundance of the Surfaceome.
Anders KarlssonLeonarda Achá AlarcónBeatriz Piñeiro-IglesiasGunnar JacobssonSusann SkovbjergEdward R B MoorePradeep Kumar KopparapuTao JinRoger KarlssonPublished in: Microorganisms (2024)
Staphylococcus aureus is a pathogen known to cause a wide range of infections. To find new targets for identification and to understand host-pathogen interactions, many studies have focused on surface proteins. We performed bacterial-cell surface-shaving, followed by tandem mass tag for quantitative mass spectrometry proteomics, to examine the surfaceome of S. aureus . Two steps were performed, the first step including surface protein-deficient mutants of S. aureus Newman strain lacking important virulence genes ( clfA and spa , important for adhesion and immune evasion and srtAsrtB , linking surface-associated virulence factors to the surface) and the second step including isolates of different clinical origin. All strains were compared to the Newman strain. In Step 1, altogether, 7880 peptides were identified, corresponding to 1290 proteins. In Step 2, 4949 peptides were identified, corresponding to 919 proteins and for each strain, approximately 20 proteins showed differential expression compared to the Newman strain. The identified surface proteins were related to host-cell-adherence and immune-system-evasion, biofilm formation, and survival under harsh conditions. The results indicate that surface-shaving of intact S. aureus bacterial strains in combination with quantitative proteomics is a useful tool to distinguish differences in protein abundance of the surfaceome, including the expression of virulence factors.
Keyphrases
- biofilm formation
- staphylococcus aureus
- escherichia coli
- pseudomonas aeruginosa
- mass spectrometry
- candida albicans
- high resolution
- amino acid
- antimicrobial resistance
- protein protein
- cell surface
- single cell
- adipose tissue
- cell therapy
- genome wide
- wastewater treatment
- mesenchymal stem cells
- long non coding rna
- insulin resistance
- cell migration