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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-9958373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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