Thomas H. Hampton

The paper identifies positively selected codon changes in exsA or exsD that hyperactivate the T3SS in P. aeruginosa, leading to hypervirulence through increased T3SS activity and immunopathology.

The paper identifies two classes of nanobodies that inhibit Cif, an epoxide hydrolase from Pseudomonas aeruginosa, through distinct structural strategies targeting a shared epitope.

This study examines how nutritional status affects arsenic toxicity in Daphnia pulex through transcriptomic analysis, revealing that phosphorus limitation has a greater impact than food quantity.

This study shows that Bacteroides fragilis outer membrane vesicles reduce CFTR Cl- secretion in human colon organoids, with BFT-2-containing vesicles being more effective.

This study shows that mesenchymal stromal cell-derived extracellular particles reduce Pseudomonas aeruginosa lung infection and inflammation in a cystic fibrosis mouse model.

This study shows ETI increases defensin gene expression and reduces MMP10, MMP12, and inflammatory signaling in CF airway epithelial cells.

E.PathDash provides a tool for analyzing gene expression data from pathogens, enabling rapid pathway activation analysis and reproducibility assessment across multiple studies.

This paper shows tobramycin reduces inflammation in cystic fibrosis by increasing 5' tRNA-fMet halves in P. aeruginosa outer membrane vesicles, which suppress IL-8 and neutrophilic inflammation in human cells and mice.

The paper analyzes Pseudomonas aeruginosa gene expression in CF sputum and identifies metal restriction as a key driver of gene expression variation across donors.

This paper develops a novel in vitro culture medium, CF-MiPro, that mimics the CF gut environment and alters non-CF microbiomes to resemble CF-like profiles.

Rocket-miR predicts human miRNA interactions with pathogens to identify potential antimicrobial candidates against antibiotic-resistant infections.

The paper investigates PlmCas12e cleavage activity on CCR5 by analyzing guide RNA length and PAM sequence variations, identifying optimal conditions for efficient cleavage.

CF-Seq provides a web tool for re-analyzing CF pathogen RNA-seq data, enabling efficient filtering, visualization, and hypothesis generation across multiple studies.