Urs Jenal

This study identifies distinct subpopulations of Pseudomonas aeruginosa that use different virulence factors to cause tissue damage during infection.

This paper introduces a self-regulating CRISPRi system that reduces leakiness while maintaining inducible gene repression, enabling portable and multiplexed applications.

This study identifies how the intestinal microbiota drives the evolution of pathoadaptive traits in ESBL E. coli through adhesion and biofilm formation.

The paper shows that opposing range-dependent interactions between microbial exoproducts create complex spatial patterns of antibiotic tolerance in biofilms.

The paper develops genetically-encoded biosensors to monitor antibiotic concentrations inside bacterial cells and tissues in real-time, revealing antibiotic exposure dynamics and penetration in infection models.

This study identifies a metabolic hierarchy in Caulobacter crescentus that coordinates cell cycle transitions and morphogenesis through redox dynamics.

This study identifies pathways in P. aeruginosa that confer resistance to T6SS effectors from Acinetobacter baylyi and Vibrio cholerae, revealing links between T6SS resistance and antibiotic susceptibility.

This study uses CRISPRi to identify metabolic vulnerabilities of UPEC in urine, highlighting ALS II as a druggable target.

This study identifies coenzyme A depletion as a cause of antibiotic tolerance in Pseudomonas aeruginosa using proteomic, metabolomic, and machine learning analyses.

The paper uses CRISPRi screens to identify metabolic vulnerabilities in P. aeruginosa PAO1 under different conditions, revealing key genes for targeting chronic infections.