ArticleJournal of microbiological methods2013
Ribosomal proteins as biomarkers for bacterial identification by mass spectrometry in the clinical microbiology laboratory.
Article in Journal of microbiological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
46 citing papers in PubMed, 134 citations in OpenAlex.
- Resolution of MALDI-TOF MS compared to whole genome sequencing for the identification of Vibrio parahaemolyticus strains isolated from oysters.Archives of microbiology · 2026Article
- MALDI Tandem Mass Spectrometry for Colony-Based Dereplication of Natural Products.bioRxiv : the preprint server for biology · 2026Article
- High-resolution differentiation and identification of the clinically relevant pathogensMicrobiology spectrum · 2026Article
- Use of MALDI-TOF mass spectrometry for identification of Weissella tructae.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026Article
- Application of MALDI TOF and DART mass spectrometry as novel tools for classification of anaerobic gut fungi strains.Analytical and bioanalytical chemistry · 2025Article
- MALDI-TOF as a powerful tool for identifying and differentiating closely related microorganisms: the strange case of three reference strains of Paenibacillus polymyxa.Scientific reports · 2024Article
- Promising potential of machine learning-assisted MALDI-TOF MS as an effective detector forApplied and environmental microbiology · 2023Article
- Differentiation betweenInternational journal of molecular sciences · 2023Article
- Direct Detection of Carbapenemase-Producing Klebsiella pneumoniae by MALDI-TOF Analysis of Full Spectra Applying Machine Learning.Journal of clinical microbiology · 2023Article
- Mix24X, a Lab-Assembled Reference to Evaluate Interpretation Procedures for Tandem Mass Spectrometry Proteotyping of Complex Samples.International journal of molecular sciences · 2023Article
- Evaluation of the Limit of Detection of Bacteria by Tandem Mass Spectrometry Proteotyping and Phylopeptidomics.Microorganisms · 2023Article
- Review
- "Omic" Approaches to Bacteria and Antibiotic Resistance Identification.International journal of molecular sciences · 2022Review
- Identification and Typing of Strains of Wood-Rotting Basidiomycetes by Protein Profiling Using MALDI-TOF MS.Biotech (Basel (Switzerland)) · 2022Article
- Rapid Characterization of Bacterial Lipids with Ambient Ionization Mass Spectrometry for Species Differentiation.Molecules (Basel, Switzerland) · 2022Article
- Investigating Unfavorable Factors That Impede MALDI-TOF-Based AI in Predicting Antibiotic Resistance.Diagnostics (Basel, Switzerland) · 2022Article
- Quick and wide-range taxonomical repertoire establishment of the cystic fibrosis lung microbiota by tandem mass spectrometry on sputum samples.Frontiers in microbiology · 2022Article
- Article
- An Improved Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Data Analysis Pipeline for the Identification of Carbapenemase-Producing Klebsiella pneumoniae.Journal of clinical microbiology · 2021Article
- A large-scale investigation and identification of methicillin-resistant Staphylococcus aureus based on peaks binning of matrix-assisted laser desorption ionization-time of flight MS spectra.Briefings in bioinformatics · 2021Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 2 countries.
Funding
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.
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