Author

B. Gaborieau

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4

Signature Assays, Organisms & Methods

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Organism:E. coli· 3 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1

Frequent Co-Authors

L. Debarbieux· 4 shared J.-D. Ricard· 3 shared E. Denamur· 2 shared O. Clermont· 2 shared R. Delattre· 2 shared A. A. Ferran· 1 shared A. Bernheim· 1 shared A. Bousquet-Melou· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersMicrobiology

L. Debarbieux

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Predicting phage-bacteria interactions at the strain level from genomes

B. Gaborieau, H. Vaysset, F. Tesson, I. Charachon, N. Dib, J. Bernier, T. Dequidt, H. Georjon, O. Clermont, P. Hersen, L. Debarbieux, J.-D. Ricard, E. Denamur, A. Bernheim

This paper predicts phage-bacteria interactions at the strain level using genomic data from Escherichia isolates and shows tailored phage cocktails are more effective.

bioRxiv · Nov 22, 2023 · PreprintMicrobiology

Variable effects on virulence of bacteriophage resistance mechanisms in extraintestinal pathogenic Escherichia coli

B. Gaborieau, R. Delattre, S. Adiba, O. Clermont, E. Denamur, J.-D. Ricard, L. Debarbieux

This study examines phage resistance mechanisms in E. coli and finds that resistance can be predicted from in vitro conditions, often reduces virulence, and can be mitigated with phage cocktails.

bioRxiv · Sep 1, 2022 · PreprintMicrobiology

The selection of antibiotic- and bacteriophage-resistant Pseudomonas aeruginosa is prevented by their combination

A. A. Ferran, M. Z. Lacroix, O. Gourbeyre, A. Huesca, B. Gaborieau, L. Debarbieux, A. Bousquet-Melou

This study shows that combining antibiotics and bacteriophages prevents the selection of resistant Pseudomonas aeruginosa clones in a hollow fiber infection model.

bioRxiv · May 25, 2022Microbiology

Combination of in vivo phage therapy data with in silico model highlights key parameters for treatment efficacy

R. Delattre, J. Seurat, F. Haddad, T.-T. Nguyen, B. Gaborieau, R. Kane, N. Dufour, J.-D. Ricard, J. Guedj, L. Debarbieux

The paper combines in vivo phage therapy data with an in silico model to identify key parameters affecting treatment efficacy in bacterial pneumonia.

bioRxiv · Mar 4, 2021Microbiology