Author

J. R. Tait

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· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metabolomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

C. B. Landersdorfer· 2 shared A. Oliver· 1 shared C. Lopez-Causape· 1 shared D. M. Shackleford· 1 shared D. T. Fuhs· 1 shared J. F. Quinn· 1 shared J. L. Grace· 1 shared K. E. Rogers· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersMicrobiology

C. B. Landersdorfer

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Providing insight into the mechanism of action of Cationic Lipidated Oligomers (CLOs) using metabolomics

M. Hussein, M. B. Mahboob, J. R. Tait, J. L. Grace, V. Montembault, L. Fontaine, J. F. Quinn, T. Velkov, M. R. Whittaker, C. B. Landersdorfer

This study uses metabolomics to reveal that C12-o-(BG-D)-10 disrupts bacterial membrane organization and multiple metabolic pathways, contributing to its antimicrobial activity against MRSA.

mSystems · May 16, 2024Peer-reviewedMicrobiology

Elucidating effects of single and multiple resistance mechanisms on bacterial response to meropenem by quantitative and systems pharmacology modeling and population genomics

D. T. Fuhs, S. Cortes-Lara, J. R. Tait, K. E. Rogers, C. Lopez-Causape, W. L. Lee, D. M. Shackleford, R. L. Nation, A. Oliver, C. B. Landersdorfer

This study uses QSP modeling and population genomics to show that baseline resistance mechanisms in Pseudomonas aeruginosa affect bacterial killing and resistance emergence, and that fT>MIC cannot predict these outcomes.

bioRxiv · Feb 17, 2024 · PreprintMicrobiology