B. B. Aldridge

Unique growth and morphology properties of Clade 5 Clostridioides difficile strains revealed by single-cell time-lapse microscopy

This study identifies distinct growth and chaining properties in Clade 5 Clostridioides difficile strains using time-lapse microscopy, linked to the cmr switch sequence orientation.

Massively parallel combination screen reveals small molecule sensitization of antibiotic-resistant Gram-negative ESKAPE pathogens

This study uses high-throughput screening to identify small molecules that enhance antibiotic efficacy against multidrug-resistant Gram-negative bacteria.

Mycobacterium tuberculosis grows linearly at the single-cell level with larger variability than model organisms

This study uses time-lapse imaging and modeling to show that Mycobacterium tuberculosis grows linearly with high cell-to-cell variability, differing from exponential growth in model organisms.

Novel synergies and isolate specificities in the drug interactions landscape of Mycobacterium abscessus

This study systematically measures drug interactions in Mycobacterium abscessus to identify synergistic combinations and highlight strain-specific responses.

Critical role of growth medium for detecting drug interactions in Gram-negative bacteria that model in vivo responses

This study shows that antibiotic interactions vary with growth medium, with lung mimetic medium better predicting in vivo outcomes for Klebsiella pneumoniae.

Tuberculosis treatment failure associated with evolution of antibiotic resilience

The paper identifies resR as a target of positive selection in Mtb clinical isolates, linking its mutations to antibiotic resilience and treatment failure.

Design principles to assemble drug combinations for effective tuberculosis therapy using interpretable pairwise drug response measurements

The paper uses pairwise drug response data to train machine learning models predicting effective tuberculosis drug combinations, revealing design principles for rational combination therapy.

C25-modified rifamycin derivatives with improved activity against Mycobacterium abscessus

This study develops a C25-modified rifamycin derivative, 5j, which resists enzymatic inactivation by ArrMab and shows potent antimicrobial activity against M. abscessus in vitro and in macrophages.

A competitive activity-based protein profiling platform yields cell wall synthesis inhibitors active against replicating and non-replicating Mycobacterium tuberculosis

This study uses ABPP to identify cell wall synthesis inhibitors targeting Mycobacterium tuberculosis, showing that active compounds inhibit serine hydrolases involved in cell wall and lipid metabolism.

Systematic measurement of combination drug landscapes to predict in vivo treatment outcomes for tuberculosis

The paper systematically measures drug combinations to predict tuberculosis treatment outcomes using in vitro models and machine learning.