Surfaceome and exoproteome of a clinical sequence type 398 methicillin resistant Staphylococcus aureus strain

  1. Monteiro, R. 3
  2. Hébraud, M. 4
  3. Chafsey, I. 4
  4. Chambon, C. 4
  5. Viala, D. 4
  6. Torres, C. 1
  7. Poeta, P. 3
  8. Igrejas, G. 23
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidade Nova de Lisboa
    info

    Universidade Nova de Lisboa

    Lisboa, Portugal

    ROR https://ror.org/02xankh89

  3. 3 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

  4. 4 Institut National de la Recherche Agronomique
    info

    Institut National de la Recherche Agronomique

    París, Francia

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Revista:
Biochemistry and Biophysics Reports

ISSN: 2405-5808

Año de publicación: 2015

Volumen: 3

Páginas: 7-13

Tipo: Artículo

DOI: 10.1016/J.BBREP.2015.07.004 SCOPUS: 2-s2.0-84937960225 GOOGLE SCHOLAR

Otras publicaciones en: Biochemistry and Biophysics Reports

Repositorio institucional: lock_openAcceso abierto Editor

Resumen

For many years Staphylococcus aureus has been recognized as an important human pathogen. In this study, the surfacome and exoproteome of a clinical sample of MRSA was analyzed. The C2355 strain, previously typed as ST398 and spa-t011 and showing a phenotype of multiresistance to antibiotics, has several resistance genes. Using shotgun proteomics and bioinformatics tools, 236 proteins were identified in the surfaceome and 99 proteins in the exoproteome. Although many of these proteins are related to basic cell functions, some are related to virulence and pathogenicity like catalase and isdA, main actors in S. aureus infection, and others are related to antibiotic action or eventually resistance like penicillin binding protein, a cell-wall protein. Studying the proteomes of different subcellular compartments should improve our understanding of this pathogen, a microorganism with several mechanisms of resistance and pathogenicity, and provide valuable data for bioinformatics databases. © 2015 The Authors.