A novel dual genome approach that combines genetically diverse mice and a library of bacterial mutants to define the genome-wide host pathogen interactions that drive distinct outcomes to tuberculosis.

A framework has been devised that enables global participation in the curation of publications on any topic involving two or more living organisms, ranging from microscopic to larger sizes, in their natural or artificial environments or ecosystems.

The application of deep learning fills a major gap in host–pathogen research providing for unbiased, multi-module high-throughput image analysis.

The helical rod structure and dynamic spring-like properties of the type 1 pilus are evolutionarily fine-tuned for functioning in host-pathogen interactions during urinary tract infection and gut colonization.

The bridging of bioengineering and cell culture techniques provides a transformative platform to investigate human biology within a 3-dimensional extracellular matrix over prolonged periods with multiplex readouts.

A novel mathematical modeling framework for antibiotic-resistant bacteria combining within-host microbiome-pathogen interactions with population-level pathogen epidemiology, demonstrating how antibiotic consumption and ecological competition come together to drive the spread of resistance.

The experimental methods that are routinely used to disperse mycobacterial aggregates markedly impact macrophage infection outcomes, which should be taken into account to appropriately interpret host-pathogen interactions studies.

Intracellular growth of the bacterial pathogen Legionella pneumophila in the amoeba Dictyostelium discoideum implicates a bacterial fatty acid transporter as well as dynamic interactions of the distinct membrane-bound replication compartment with host cell lipid droplets.

A novel class of bacterial OTU deubiquitinases provides insights on the distinct roles of bacterial deubiquitinases in host–pathogen interactions.

Simultaneously measuring the transcriptomes of both a host plant and fungal pathogen, co-transcriptomics, identified diverse, dynamic and independent communication mechanisms conveying information between the two organisms via discrete gene modules.