Julia Oh

This study examines how aging affects immune responses in skin to infection and sensitization, finding age-dependent changes in local immune dynamics rather than uniform impairment.

The paper profiles skin responses to 187 Staphylococcus strains across seven species in a human skin model, revealing strain-level diversity in host immune and barrier responses.

This study sequenced 2,920 skin Staphylococcus isolates to show disease selects species-level traits while reshaping strain populations and their functional diversity within hosts.

This study shows that bacterial species and individual donors differentially modulate airway gene expression and alternative splicing in human epithelial cells.

This study examines the Yanomami skin microbiome, revealing high microbial complexity and novel taxa that challenge the Western-centric view of a healthy skin microbiome.

This study shows that ichthyosis genotype, phenotype, and host factors influence the skin microbiome's species, strain, and metabolic pathway composition.

TEAL-seq enables sensitive, species-specific gene expression analysis in complex microbial communities using highly multiplexed probes and isothermal amplification.

The paper examines how different microbes affect host immune and barrier responses in respiratory epithelial cultures, finding that interferon variability is not linked to microbial diversity or other innate pathways.

This paper develops a fast targeted metabolomics method to analyze indole derivatives in ME/CFS gut microbiome samples, revealing metabolic differences that may serve as biomarkers.

BioMapAI uses a deep neural network to analyze multi-omics data from ME/CFS patients, identifying biomarkers and revealing disrupted biological connections.

The paper investigates how skin biophysical traits, particularly collagen diffusion coefficient, are associated with the composition and functional potential of the skin microbiome during aging.

The paper introduces two microbial reference databases, reprDB and panDB, which improve metagenomic profiling by reducing redundancy and increasing efficiency in taxonomic assignment and pan-genome identification.