Author

G. Orazi

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:human· 4 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:mouse· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

G. O'Toole· 3 shared A. J. Collins· 1 shared F. Jean-Pierre· 1 shared K. L. Ruoff· 1 shared M. A. Henson· 1 shared P. Phalak· 1 shared R. J. Whitaker· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 6 mutual co-author links

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3 shared papersMicrobiology

G. O'Toole

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Prediction of prophages and their host ranges in pathogenic and commensal Neisseria species

G. Orazi, A. J. Collins, R. J. Whitaker

This study identifies 1302 prophages in 21 Neisseria species using virus prediction tools and finds that 20% are significantly targeted by CRISPR-Cas systems, suggesting interspecies phage movement.

bioRxiv · Dec 16, 2021Microbiology

Pseudomonas aeruginosa enhances the efficacy of norfloxacin against Staphylococcus aureus biofilms

G. Orazi, F. Jean-Pierre, G. O'Toole

This study shows that Pseudomonas aeruginosa exoproducts enhance norfloxacin efficacy against Staphylococcus aureus biofilms by increasing drug uptake and reducing efflux.

bioRxiv · Mar 26, 2020 · PreprintMicrobiology

Pseudomonas aeruginosa increases the sensitivity of biofilm-grown Staphylococcus aureus to membrane-targeting antiseptics and antibiotics

G. Orazi, K. L. Ruoff, G. O'Toole

This study shows Pseudomonas aeruginosa exoproducts enhance the effectiveness of antimicrobial agents against Staphylococcus aureus biofilms by increasing membrane permeability.

mBio · Aug 27, 2019Peer-reviewedMicrobiology

Metabolic Modeling of Cystic Fibrosis Airway Communities Predicts Mechanisms of Pathogen Dominance

M. A. Henson, G. Orazi, P. Phalak, G. O'Toole

The paper develops a metabolic model of CF airway communities to predict pathogen dominance mechanisms using 16S rRNA sequencing data from 75 CF patient samples.

bioRxiv · Jan 15, 2019Microbiology