Olga V. Britanova

The paper demonstrates a repertoire-guided workflow to prioritize antibody candidates targeting β-amyloid and its isoAsp7 proteoform, identifying potential heavy-light chain combinations through computational and experimental methods.

The paper investigates NK cell antigenic specificity by analyzing scRNA-Seq, single-cell cloning, and in silico modeling to show glycosylation's role in modulating KIR2DS4 interactions with peptide-MHCI complexes.

The paper develops a pipeline to identify and track antigen-specific T cell responses to cancer immunotherapy in mice using TCR repertoire analysis.

The paper develops a classifier for detecting SARS-CoV-2 exposure using T-cell repertoire profiling and machine learning, achieving high accuracy across different protocols.

This paper introduces TCR-Track, a method to map and track helper T cell subsets in scRNA-Seq data, revealing their clonal relationships and functional programs over time.