P. Van Damme

This study models T cell dynamics post-Hepatitis B vaccination, revealing differences between conventional and regulatory T cells and their relationship to antibody responses and seropositivity.

The paper examines factors influencing immunity across diverse populations, finding ancestry and age significantly affect immune responses and disease severity.

The paper uses dual proteome profiling to study Salmonella Typhimurium-host interactions, finding DIA proteomics better identifies downregulated bacterial proteins during early infection.

The paper shows preexisting memory CD4 T cells in unvaccinated individuals correlate with stronger hepatitis B vaccine responses and predicts immune outcomes using TCR sequencing and machine learning.

This paper develops a hybrid spectral library approach combining data-dependent and in silico predicted data-independent acquisition proteomics to improve detection of host-pathogen proteomes during bacterial infections.

The paper establishes TurboID as the most effective PDL method in plant systems and demonstrates its utility in capturing protein interactomes and structural information.

The paper improves proteome coverage and identifies unannotated bacterial proteins by re-analyzing proteomics data with enhanced search strategies and quality features.

This paper uses ODE-based mixed models to analyze T-cell and B-cell dynamics from a vaccine trial, finding Shingrix induces greater T-cell proliferation than Varilrix.

REPARATION uses ribosome profiling data to improve bacterial genome annotation by identifying novel ORFs and refining existing ones.