Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
Publication date
2023-03-17
Authors
Agrafiotis, Andreas
Neumeier, Daniel
Hong, Kai Lin
Chowdhury, Tasnia
Ehling, Roy
Kuhn, Raphael
Sandu, Ioana
Kreiner, Victor
Cotet, Tudor Stefan
Shlesinger, Danielle
Editors
Advisors
Supervisors
Document Type
Article
Metadata
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License
cc_by
Abstract
Although new genomics-based pipelines have potential to augment antibody discovery, these methods remain in their infancy due to an incomplete understanding of the selection process that governs B cell clonal selection, expansion, and antigen specificity. Furthermore, it remains unknown how factors such as aging and reduction of tolerance influence B cell selection. Here we perform single-cell sequencing of antibody repertoires and transcriptomes of murine B cells following immunizations with a model therapeutic antigen target. We determine the relationship between antibody repertoires, gene expression signatures, and antigen specificity across 100,000 B cells. Recombinant expression and characterization of 227 monoclonal antibodies revealed the existence of clonally expanded and class-switched antigen-specific B cells that were more frequent in young mice. Although integrating multiple repertoire features such as germline gene usage and transcriptional signatures failed to distinguish antigen-specific from nonspecific B cells, other features such as immunoglobulin G (IgG) subtype and sequence composition correlated with antigen specificity.
Keywords
Immune response, Immunology, Transcriptomics, General
Citation
Agrafiotis, A, Neumeier, D, Hong, K L, Chowdhury, T, Ehling, R, Kuhn, R, Sandu, I, Kreiner, V, Cotet, T S, Shlesinger, D, Laslo, D, Anzböck, S, Starkie, D, Lightwood, D J, Oxenius, A, Reddy, S T & Yermanos, A 2023, 'Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity', iScience, vol. 26, no. 3, 106055. https://doi.org/10.1016/j.isci.2023.106055