Search Results - Dallas L. Mould

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  1. 1
    Intraspecies Signaling between Common Variants of <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content> Increases Production of Quorum-Sensing-Controlled Virulence Factors

    Intraspecies Signaling between Common Variants of <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content> Increases Production of Quorum-Sensing-Controll... by Dallas L. Mould, Nico J. Botelho, Deborah A. Hogan

    Published 2020-08-01
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  2. 2
    Both Pseudomonas aeruginosa and Candida albicans Accumulate Greater Biomass in Dual-Species Biofilms under Flow

    Both Pseudomonas aeruginosa and Candida albicans Accumulate Greater Biomass in Dual-Species Biofilms under Flow by Swetha Kasetty, Dallas L. Mould, Deborah A. Hogan, Carey D. Nadell

    Published 2021-06-01
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  3. 3
    Metabolic basis for the evolution of a common pathogenic Pseudomonas aeruginosa variant

    Metabolic basis for the evolution of a common pathogenic Pseudomonas aeruginosa variant by Dallas L Mould, Mirjana Stevanovic, Alix Ashare, Daniel Schultz, Deborah A Hogan

    Published 2022-05-01
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  4. 4
    Citrate cross-feeding by Pseudomonas aeruginosa supports lasR mutant fitness

    Citrate cross-feeding by Pseudomonas aeruginosa supports lasR mutant fitness by Dallas L. Mould, Carson E. Finger, Amy Conaway, Nico Botelho, Stacie E. Stuut, Deborah A. Hogan

    Published 2024-02-01
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  5. 5
    Comparative effects of CFTR modulators on phagocytic, metabolic and inflammatory profiles of CF and nonCF macrophages

    Comparative effects of CFTR modulators on phagocytic, metabolic and inflammatory profiles of CF and nonCF macrophages by Daniel S. Aridgides, Diane L. Mellinger, Lorraine L. Gwilt, Thomas H. Hampton, Dallas L. Mould, Deborah A. Hogan, Alix Ashare

    Published 2023-07-01
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  6. 6
    SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses

    SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses by Alexandra J. Lee, Dallas L. Mould, Jake Crawford, Dongbo Hu, Rani K. Powers, Georgia Doing, James C. Costello, Deborah A. Hogan, Casey S. Greene

    Published 2022-10-01
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  7. 7
    GAUGE-Annotated Microbial Transcriptomic Data Facilitate Parallel Mining and High-Throughput Reanalysis To Form Data-Driven Hypotheses

    GAUGE-Annotated Microbial Transcriptomic Data Facilitate Parallel Mining and High-Throughput Reanalysis To Form Data-Driven Hypotheses by Zhongyou Li, Katja Koeppen, Victoria I. Holden, Samuel L. Neff, Liviu Cengher, Elora G. Demers, Dallas L. Mould, Bruce A. Stanton, Thomas H. Hampton

    Published 2021-04-01
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  8. 8
    GAUGE-Annotated Microbial Transcriptomic Data Facilitate Parallel Mining and High-Throughput Reanalysis To Form Data-Driven Hypotheses

    GAUGE-Annotated Microbial Transcriptomic Data Facilitate Parallel Mining and High-Throughput Reanalysis To Form Data-Driven Hypotheses by Zhongyou Li, Katja Koeppen, Victoria I. Holden, Samuel L. Neff, Liviu Cengher, Elora G. Demers, Dallas L. Mould, Bruce A. Stanton, Thomas H. Hampton

    Published 2021-04-01
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