Proteome of a methicillin-resistant Staphylococcus aureus clinical strain of sequence type ST398

  1. Monteiro, R. 2
  2. Vitorino, R. 3
  3. Domingues, P. 3
  4. Radhouani, H. 2
  5. Carvalho, C. 2
  6. Poeta, P. 2
  7. Torres, C. 1
  8. Igrejas, G. 2
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidade de Trás-os-Montes e Alto Douro
    info

    Universidade de Trás-os-Montes e Alto Douro

    Vila Real, Portugal

    ROR https://ror.org/03qc8vh97

  3. 3 Universidade de Aveiro
    info

    Universidade de Aveiro

    Aveiro, Portugal

    ROR https://ror.org/00nt41z93

Mostrar afiliaciones +
Revista:
Journal of Proteomics

ISSN: 1874-3919

Año de publicación: 2012

Volumen: 75

Número: 10

Páginas: 2892-2915

Tipo: Artículo

DOI: 10.1016/J.JPROT.2011.12.036 PMID: 22245554 SCOPUS: 2-s2.0-84861346958 WoS: WOS:000305266000013 GOOGLE SCHOLAR

Otras publicaciones en: Journal of Proteomics

Resumen

Proteomics is a powerful tool to analyze the differences in gene expression of bacterial strains. Staphylococcus aureus has long been recognized as an important pathogen in human disease. In order to investigate this pathogen, the proteome of a clinical methicillin-resistant S. aureus (MRSA) strain of the sequence type ST398 was determined using 2-DE. Using 2-DE we obtained a total of 105 spots the MRSA strain. Furthermore in correlation with bioinformatic databases, they allowed accurate identification and characterization of proteins, resulting in 227 identified proteins. There were found proteins related to basic function of the cell, but also proteins related to virulence like catalase, specific of S. aureus species, and proteins related to antibiotic resistance. Proteins associated with antibiotic resistance or virulence factors are related to genomic databases. The most abundant classes identified involved glycolysis, energy production, one-carbon metabolism, and oxidation-reduction process, all of which reflect an active metabolism.These results highlight the importance of proteomics to deepen in the knowledge of protein expression of MRSA strain of the lineage ST398, microorganism with diverse and important resistance mechanisms. With this proteome map we have an essential tool for a better understanding of this pathogen and providing new data for protein databases. This article is part of a Special Issue entitled: Proteomics: The clinical link. © 2011 Elsevier B.V..