MicrobiologymSpherePeer-reviewed
Pseudomonas aeruginosa lasR Mutants Resist Phagocytosis and Alter Inflammatory Cytokine Production by Cystic Fibrosis Macrophages
Daniel S Aridgides, Diane Mellinger, Lorraine L. Gwilt…·Alix Ashare
1 citation
Author
Dallas L. Mould
Dartmouth CollegeORCID 0000-0001-6939-1351Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2021-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 19 mutual co-author linksFocal author (center)Selected co-authorORCID co-authorUnlinked name
Curved chords = mutual co-authorship5 papers
Recent·Most cited
- MicrobiologybioRxivPreprint
Evaluating Synergy of Clinically Utilized Phage OMKO1 with Five Antibiotics from Different Classes against Pseudomonas aeruginosa
Emma L. Kane, B. Chan, Dallas L. Mould…·P. Turner
This study evaluates the synergy between phage OMKO1 and five antibiotics against Pseudomonas aeruginosa, showing reduced MIC and resistant regrowth in four of five combinations.
DOI 10.64898/2026.01.13.699299 - MicrobiologyJournal of BacteriologyPeer-reviewed
Loss of LasR function leads to decreased repression of Pseudomonas aeruginosa PhoB activity at physiological phosphate concentrations
Amy Conaway, Igor Todorovic, Dallas L. Mould, Deborah A. Hogan
This paper shows that loss of LasR function in Pseudomonas aeruginosa increases PhoB activity at physiological phosphate concentrations, contributing to increased virulence.
8 citations - MicrobiologybioRxivPreprint
Role of Pseudomonas aeruginosa Dnr-regulated denitrification in oxic conditions
Stacie E. Stuut, Dallas L. Mould, Fabrice Jean-Pierre, Deborah A. Hogan
This study shows Pseudomonas aeruginosa consumes nitrate in oxic conditions, requiring Dnr and Dnr-regulated NorCB for detoxification, despite no growth advantage from nitrate.
DOI 10.1101/2025.03.31.646406 - BioinformaticsbioRxivPreprint
Generative neural networks separate common and specific transcriptional responses
Alexandra J. Lee, Dallas L. Mould, Jake Crawford…·Casey S. Greene
This paper introduces SOPHIE, a method using generative neural networks to distinguish common from specific transcriptional responses across datasets.
1 citation