Emma Marie Caroline Slack

The paper develops a high-resolution mass spectrometry method to quantify nitrogen-containing compounds across diverse systems, revealing microbiome impacts on nitrogen distribution in mice.

This study uses real-time volatilomics to identify microbiota and pathogen fingerprints in honey bees through non-invasive volatile compound analysis.

This paper develops a murine model of Shigella sonnei intestinal colonization and identifies factors contributing to its persistence and immune response.

The paper shows how spatial structure in the gut microbiota emerges through bacterial growth in the matrix of gut content.

The paper shows that E. faecalis evolves to metabolize fructoselysine, reducing S. Typhimurium colonization by limiting a key nutrient.

The paper introduces a transcriptomic marker gene-based classifier to predict bacterial growth states across species in microbial communities.

The paper maps E. coli capsule serotypes using genomic data, identifies novel K-types, and develops an in silico serotyping tool applicable to diverse E. coli genomes.

The paper shows that mucosal B cell memory selection diverges between lungs and gut, favoring MBCs and PCs respectively, driven by tissue-specific BCR isotype usage rather than affinity.

LC-Inspector provides a user-friendly tool for analyzing targeted mass spectrometry data, enabling non-specialists to process and visualize results locally.

This study identifies novel microbial epitopes recognized by CD4+ T cells using the MCR system, revealing polyreactivity and broad conservation across gut bacteria.

The paper introduces a biochemical method to detect and analyze capsular polysaccharides in bacteria, improving upon traditional serotyping assays.

This paper demonstrates the use of secondary electrospray ionization mass spectrometry to non-invasively monitor gut microbiota metabolism in live mice.