抗原
计算生物学
转录组
抗体
生物
细胞
细胞生物学
基因
免疫学
遗传学
基因表达
作者
Andreas Agrafiotis,Daniel Neumeier,Kai‐Lin Hong,Tasnia Chowdhury,Roy A. Ehling,Raphael Kuhn,Ioana Sandu,Victor Kreiner,Tudor‐Stefan Cotet,Danielle Shlesinger,Daria Laslo,Stine Anzböck,Dale Starkie,Daniel J. Lightwood,Annette Oxenius,Sai T. Reddy,Alexander Yermanos
出处
期刊:iScience
[Cell Press]
日期:2023-01-25
卷期号:26 (3): 106055-106055
被引量:15
标识
DOI:10.1016/j.isci.2023.106055
摘要
Abstract Murine models of immunization have played a major role in discovering antibody candidates against therapeutic targets. It nevertheless remains time-consuming and expensive to identify antibodies with diverse binding modalities against druggable candidate molecules. 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 in murine models of immunization. Here we perform single-cell sequencing of antibody repertoires and transcriptomes of B cells following immunizations with a model therapeutic antigen target (human Tumor necrosis factor receptor 2, TNFR2). 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, somatic hypermutation, and transcriptional signatures failed to distinguish antigen-specific from non-specific B cells, other features such as IgG-subtype and sequence composition correlated with antigen-specificity. This work provides a single-cell resource for B cells relating antibody repertoires, transcriptomes and antigen specificity.
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