Julie G. Burel

The paper uses image-guided sorting to distinguish physically interacting T cell-monocyte pairs from coincidental doublets in tuberculosis patients, revealing distinct transcriptional signatures of contact.

Image-based gating on an imaging spectral cytometer resolves 12 high-purity immune doublet types in human blood; in tuberculosis, doublet frequencies are unchanged but tightly contacting T cell-monocyte doublets increase.

This study examines immune cell differences in close contacts of TB patients based on QFT status, finding minimal differences among subgroups but clear immune changes in active TB patients.

This study identifies an enriched NK-like cytotoxic Vδ3 T cell subset in TB patients using single-cell RNA sequencing, showing persistent transcriptomic differences post-treatment.

The paper introduces a method to study cell-cell interactions at single-cell resolution, revealing unique transcriptomic signatures in T cell-monocyte complexes during TB and dengue infection.

The paper examines how CD28+ CD8+ T cells in COVID-19 patients influence mycobacterial growth inhibition.

PDI-TCR identifies Mtb-specific TCRs and characterizes their phenotypes in TB patients and healthy individuals, revealing distinct dynamics of specific and unspecific T cell responses.

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

The paper identifies T cell:monocyte complexes in human blood as biological immune interactions, not technical artifacts, and shows their frequency changes with immune perturbations.

DAFi identifies cell populations from flow cytometry data by combining recursive filtering and clustering with user-defined constraints, improving resolution of overlapping and rare populations.