Journal article
Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice
- Abstract:
- Most current analysis tools for antibody next-generation sequencing data work with primary sequence descriptors, leaving accompanying structural information unharnessed. We have used novel rapid methods to structurally characterize the complementary-determining regions (CDRs) of more than 180 million human and mouse B-cell receptor (BCR) repertoire sequences. These structurally annotated CDRs provide unprecedented insights into both the structural predetermination and dynamics of the adaptive immune response. We show that B-cell types can be distinguished based solely on these structural properties. Antigen-unexperienced BCR repertoires use the highest number and diversity of CDR structures and these patterns of naïve repertoire paratope usage are highly conserved across subjects. In contrast, more differentiated B-cells are more personalized in terms of CDR structure usage. Our results establish the CDR structure differences in BCR repertoires and have applications for many fields including immunodiagnostics, phage display library generation, and “humanness” assessment of BCR repertoires from transgenic animals. The software tool for structural annotation of BCR repertoires, SAAB+, is available at https://github.com/oxpig/saab_plus.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 1.8MB, Terms of use)
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- Publisher copy:
- 10.1371/journal.pcbi.1007636
Authors
- Publisher:
- Public Library of Science
- Journal:
- PLOS Computational Biology More from this journal
- Volume:
- 16
- Issue:
- 2
- Article number:
- e1007636
- Publication date:
- 2020-02-18
- Acceptance date:
- 2020-01-07
- DOI:
- EISSN:
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1553-7358
- ISSN:
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1553-734X
- Language:
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English
- Keywords:
- Pubs id:
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1083521
- Local pid:
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pubs:1083521
- Deposit date:
-
2020-02-19
Terms of use
- Copyright holder:
- Kovaltsuk et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 Kovaltsuk et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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