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

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 sev...

Descripción completa

Detalles Bibliográficos
Autores: Monteiro, R., Hébraud, M., Chafsey, I., Chambon, C., Viala, D., Torres, C. [0000-0003-3709-1690], Poeta, P. [0000-0003-0925-689X], Igrejas, G. [0000-0002-6365-0735]
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Universidad de La Rioja (UR)
Repositorio:RIUR. Repositorio Institucional de la Universidad de La Rioja
OAI Identifier:oai:portal.dialnet.es:doc/5bbc6811b750603269e801db
Acceso en línea:https://investigacion.unirioja.es/documentos/5bbc6811b750603269e801db
Access Level:acceso abierto
Palabra clave:Antibiotic resistance
Exoproteome
MRSA
Proteomics
Surfaceome
Descripción
Sumario: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.