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Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity

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...

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Autores principales: Agrafiotis, Andreas, Neumeier, Daniel, Hong, Kai-Lin, Chowdhury, Tasnia, Ehling, Roy, Kuhn, Raphael, Sandu, Ioana, Kreiner, Victor, Cotet, Tudor-Stefan, Shlesinger, Danielle, Laslo, Daria, Anzböck, Stine, Starkie, Dale, Lightwood, Daniel J., Oxenius, Annette, Reddy, Sai T., Yermanos, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958373/
https://www.ncbi.nlm.nih.gov/pubmed/36852274
http://dx.doi.org/10.1016/j.isci.2023.106055
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author Agrafiotis, Andreas
Neumeier, Daniel
Hong, Kai-Lin
Chowdhury, Tasnia
Ehling, Roy
Kuhn, Raphael
Sandu, Ioana
Kreiner, Victor
Cotet, Tudor-Stefan
Shlesinger, Danielle
Laslo, Daria
Anzböck, Stine
Starkie, Dale
Lightwood, Daniel J.
Oxenius, Annette
Reddy, Sai T.
Yermanos, Alexander
author_facet Agrafiotis, Andreas
Neumeier, Daniel
Hong, Kai-Lin
Chowdhury, Tasnia
Ehling, Roy
Kuhn, Raphael
Sandu, Ioana
Kreiner, Victor
Cotet, Tudor-Stefan
Shlesinger, Danielle
Laslo, Daria
Anzböck, Stine
Starkie, Dale
Lightwood, Daniel J.
Oxenius, Annette
Reddy, Sai T.
Yermanos, Alexander
author_sort Agrafiotis, Andreas
collection PubMed
description 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.
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spelling pubmed-99583732023-02-26 Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity Agrafiotis, Andreas Neumeier, Daniel Hong, Kai-Lin Chowdhury, Tasnia Ehling, Roy Kuhn, Raphael Sandu, Ioana Kreiner, Victor Cotet, Tudor-Stefan Shlesinger, Danielle Laslo, Daria Anzböck, Stine Starkie, Dale Lightwood, Daniel J. Oxenius, Annette Reddy, Sai T. Yermanos, Alexander iScience Article 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. Elsevier 2023-01-25 /pmc/articles/PMC9958373/ /pubmed/36852274 http://dx.doi.org/10.1016/j.isci.2023.106055 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Agrafiotis, Andreas
Neumeier, Daniel
Hong, Kai-Lin
Chowdhury, Tasnia
Ehling, Roy
Kuhn, Raphael
Sandu, Ioana
Kreiner, Victor
Cotet, Tudor-Stefan
Shlesinger, Danielle
Laslo, Daria
Anzböck, Stine
Starkie, Dale
Lightwood, Daniel J.
Oxenius, Annette
Reddy, Sai T.
Yermanos, Alexander
Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
title Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
title_full Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
title_fullStr Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
title_full_unstemmed Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
title_short Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
title_sort generation of a single-cell b cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958373/
https://www.ncbi.nlm.nih.gov/pubmed/36852274
http://dx.doi.org/10.1016/j.isci.2023.106055
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