M. Chernigovskaya

This study uses scRNA TCR and BCR sequencing to analyze T and B cell responses in murine AAA, finding no clonal expansion of TCRs or BCRs.

This study benchmarks and integrates bulk and single-cell BCR sequencing with antibody peptide sequencing to understand the humoral immune response.

The paper identifies a new subset of tonsillar memory B cells that serve as precursors for IgD-secreting plasma cells, contributing to steady-state IgD responses to common antigens.

This paper demonstrates that deep generative models can design high-affinity, developable antibodies at scale using synthetic data and transfer learning.

The paper introduces Absolut!, a software suite generating synthetic antibody-antigen structures to benchmark machine learning methods for antibody specificity prediction.

The paper shows that VDJ recombination rules vary between individuals, leading to individual-specific Ig sequence spaces.