D. T. Hung

Essential and virulence-related protein interactions of pathogens revealed through deep learning

This study uses deep learning to predict protein-protein interactions in bacterial pathogens, identifying new complexes involving essential genes and virulence factors, with half of tested predictions validated.

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.

Multiplexed screen identifies a Pseudomonas aeruginosa-specific small molecule targeting the outer membrane protein OprH and its interaction with LPS

The paper identifies a Pseudomonas aeruginosa-specific small molecule, BRD1401, that targets OprH and disrupts its interaction with LPS, increasing membrane fluidity.

A tryptophan metabolite modulates the host response to bacterial infection via kainate receptors

The paper identifies 3-hydroxy-kynurenine as a tryptophan metabolite that enhances host survival during bacterial infection by modulating kainate receptors in macrophages.

Bacterial droplet-based single-cell RNA-seq reveals heterogeneity in bacterial populations and in response to antibiotic perturbation

BacDrop enables single-cell RNA-seq of bacteria, revealing population heterogeneity and differential responses to antibiotics in Klebsiella pneumoniae.

Antibiotic action revealed by real-time imaging of the mycobacterial membrane

This study uses real-time imaging to observe how antibiotics affect mycobacterial cell envelope remodeling, revealing unique cellular responses and extracellular vesicle production.

Multiplexed detection of bacterial nucleic acids using Cas13 in droplet microarrays

This paper introduces bCARMEN, a high-throughput system for rapid, multiplexed bacterial pathogen detection and antibiotic resistance gene identification using CRISPR-Cas13 and droplet microfluidics.

Chemical-genetic interaction mapping links carbon metabolism and cell wall structure to tuberculosis drug efficacy

This study maps chemical-genetic interactions in Mycobacterium tuberculosis to identify how carbon metabolism and cell wall structure affect drug efficacy, revealing environment-dependent and -independent interactions.

Induction of a regulatory myeloid program in bacterial sepsis and severe COVID-19

The paper identifies a regulatory myeloid program, MS1, associated with sepsis mortality and up-regulated in severe COVID-19, showing its immunosuppressive role and cytokine-dependent induction.

A large-scale chemical-genetic strategy to design antimicrobial combination chemotherapy for Mycobacterium tuberculosis

This paper identifies two synergistic EfpA inhibitors for tuberculosis that exhibit collateral sensitivity, demonstrating a strategy for designing antimicrobial combinations using chemical-genetic interactions.

Mutations in pmrB confer cross-resistance to the LptD inhibitor POL7080 and colistin in Pseudomonas aeruginosa

The paper identifies mutations in pmrB conferring cross-resistance to POL7080 and colistin in Pseudomonas aeruginosa by linking resistance mechanisms to lipid A modifications.

Defining the core essential genome of Pseudomonas aeruginosa

The paper defines the core essential genome of Pseudomonas aeruginosa by analyzing multiple strains and growth conditions using Tn-Seq and a novel statistical model, identifying 321 core essential genes.