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Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing
Human antibody response studies are largely restricted to periods of high immune activity (e.g. vaccination). To comprehensively understand the healthy B cell immune repertoire and how this changes over time and through natural infection, we conducted immune repertoire RNA sequencing on flow cytomet...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The American Society for Biochemistry and Molecular Biology
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000125/ https://www.ncbi.nlm.nih.gov/pubmed/31767621 http://dx.doi.org/10.1074/mcp.RA119.001633 |
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author | Mitsunaga, Erin M. Snyder, Michael P. |
author_facet | Mitsunaga, Erin M. Snyder, Michael P. |
author_sort | Mitsunaga, Erin M. |
collection | PubMed |
description | Human antibody response studies are largely restricted to periods of high immune activity (e.g. vaccination). To comprehensively understand the healthy B cell immune repertoire and how this changes over time and through natural infection, we conducted immune repertoire RNA sequencing on flow cytometry-sorted B cell subsets to profile a single individual's antibodies over 11 months through two periods of natural viral infection. We found that 1) a baseline of healthy variable (V) gene usage in antibodies exists and is stable over time, but antibodies in memory cells consistently have a different usage profile relative to earlier B cell stages; 2) a single complementarity-determining region 3 (CDR3) is potentially generated from more than one VJ gene combination; and 3) IgG and IgA antibody transcripts are found at low levels in early human B cell development, suggesting that class switching may occur earlier than previously realized. These findings provide insight into immune repertoire stability, response to natural infections, and human B cell development. |
format | Online Article Text |
id | pubmed-7000125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-70001252020-02-05 Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing Mitsunaga, Erin M. Snyder, Michael P. Mol Cell Proteomics Research Human antibody response studies are largely restricted to periods of high immune activity (e.g. vaccination). To comprehensively understand the healthy B cell immune repertoire and how this changes over time and through natural infection, we conducted immune repertoire RNA sequencing on flow cytometry-sorted B cell subsets to profile a single individual's antibodies over 11 months through two periods of natural viral infection. We found that 1) a baseline of healthy variable (V) gene usage in antibodies exists and is stable over time, but antibodies in memory cells consistently have a different usage profile relative to earlier B cell stages; 2) a single complementarity-determining region 3 (CDR3) is potentially generated from more than one VJ gene combination; and 3) IgG and IgA antibody transcripts are found at low levels in early human B cell development, suggesting that class switching may occur earlier than previously realized. These findings provide insight into immune repertoire stability, response to natural infections, and human B cell development. The American Society for Biochemistry and Molecular Biology 2020-02 2019-11-25 /pmc/articles/PMC7000125/ /pubmed/31767621 http://dx.doi.org/10.1074/mcp.RA119.001633 Text en © 2020 Mitsunaga and Snyder. Author's Choice—Final version open access under the terms of the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0) . |
spellingShingle | Research Mitsunaga, Erin M. Snyder, Michael P. Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing |
title | Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing |
title_full | Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing |
title_fullStr | Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing |
title_full_unstemmed | Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing |
title_short | Deep Characterization of the Human Antibody Response to Natural Infection Using Longitudinal Immune Repertoire Sequencing |
title_sort | deep characterization of the human antibody response to natural infection using longitudinal immune repertoire sequencing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000125/ https://www.ncbi.nlm.nih.gov/pubmed/31767621 http://dx.doi.org/10.1074/mcp.RA119.001633 |
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