Deep characterization of the human antibody response to natural infection using longitudinal immune repertoire sequencing

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Abstract

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.

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Mitsunaga, E. M., & Snyder, M. P. (2020). Deep characterization of the human antibody response to natural infection using longitudinal immune repertoire sequencing. Molecular and Cellular Proteomics, 19(2), 278–293. https://doi.org/10.1074/mcp.RA119.001633

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