Literature DB >> 23916798

Ribosomal proteins as biomarkers for bacterial identification by mass spectrometry in the clinical microbiology laboratory.

Stéphanie Suarez1, Agnès Ferroni, Aurélie Lotz, Keith A Jolley, Philippe Guérin, Julie Leto, Brunhilde Dauphin, Anne Jamet, Martin C J Maiden, Xavier Nassif, Jean Armengaud.   

Abstract

Whole-cell matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is a rapid method for identification of microorganisms that is increasingly used in microbiology laboratories. This identification is based on the comparison of the tested isolate mass spectrum with reference databases. Using Neisseria meningitidis as a model organism, we showed that in one of the available databases, the Andromas database, 10 of the 13 species-specific biomarkers correspond to ribosomal proteins. Remarkably, one biomarker, ribosomal protein L32, was subject to inter-strain variability. The analysis of the ribosomal protein patterns of 100 isolates for which whole genome sequences were available, confirmed the presence of inter-strain variability in the molecular weight of 29 ribosomal proteins, thus establishing a correlation between the sequence type (ST) and/or clonal complex (CC) of each strain and its ribosomal protein pattern. Since the molecular weight of three of the variable ribosomal proteins (L30, L31 and L32) was included in the spectral window observed by MALDI-TOF MS in clinical microbiology, i.e., 3640-12000 m/z, we were able by analyzing the molecular weight of these three ribosomal proteins to classify each strain in one of six subgroups, each of these subgroups corresponding to specific STs and/or CCs. Their detection by MALDI-TOF allows therefore a quick typing of N. meningitidis isolates.
© 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Mass spectrometry; Neisseria meningitidis; Ribosomal proteins

Mesh:

Substances:

Year:  2013        PMID: 23916798      PMCID: PMC3980635          DOI: 10.1016/j.mimet.2013.07.021

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  30 in total

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