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Microarray for serotyping of Bartonella species

Authors: Cyrille J. Bonhomme; Didier Raoult; Claude Nappez;

Microarray for serotyping of Bartonella species

Abstract

AbstractBackgroundBacteria of the genusBartonellaare responsible for a large variety of human and animal diseases. Serological typing ofBartonellais a method that can be used for differentiation and identification ofBartonellasubspecies.ResultsWe have developed a novel multiple antigenic microarray to serotypeBartonellastrains and to select poly and monoclonal antibodies. It was validated using mouse polyclonal antibodies against 29Bartonellastrains. We then tested the microarray for serotyping ofBartonellastrains and defining the profile of monoclonal antibodies.Bartonellastrains gave a strong positive signal and all were correctly identified. Screening of monoclonal antibodies towards the Gro EL protein ofB. clarridgeiaeidentified 3 groups of antibodies, which were observed with variable affinities againstBartonellastrains.ConclusionWe demonstrated that microarray of spotted bacteria can be a practical tool for serotyping of unidentified strains or species (and also for affinity determination) by polyclonal and monoclonal antibodies. This could be used in research and for identification of bacterial strains.

Keywords

Microbiology (medical), Antigens, Bacterial, Protein Array Analysis, Antibodies, Monoclonal, Chaperonin 60, Microbiology, Antibodies, Bacterial, QR1-502, Mice, Animals, Humans, Serotyping, Bartonella, Research Article

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Top 10%
Green
gold