Systems analysis reveals high genetic and antigen-driven predetermination of antibody repertoires throughout B cell development
dc.contributor.author | Greiff, Victor | |
dc.contributor.author | Menzel, Ulrike | |
dc.contributor.author | Miho, Enkelejda | |
dc.contributor.author | Weber, Cédric | |
dc.contributor.author | Riedel, René | |
dc.contributor.author | Cook, Skylar | |
dc.contributor.author | Valai, Atijeh | |
dc.contributor.author | Lopes, Telma | |
dc.contributor.author | Radbruch, Andreas | |
dc.contributor.author | Winkler, Thomas H. | |
dc.contributor.author | Reddy, Sai T. | |
dc.date.accessioned | 2024-08-16T08:58:57Z | |
dc.date.available | 2024-08-16T08:58:57Z | |
dc.date.issued | 2017-05-16 | |
dc.description.abstract | Antibody repertoire diversity and plasticity is crucial for broad protective immunity. Repertoires change in size and diversity across multiple B cell developmental stages and in response to antigen exposure. However, we still lack fundamental quantitative understanding of the extent to which repertoire diversity is predetermined. Therefore, we implemented a systems immunology framework for quantifying repertoire predetermination on three distinct levels: (1) B cell development (pre-B cell, naive B cell, plasma cell), (2) antigen exposure (three structurally different proteins), and (3) four antibody repertoire components (V-gene usage, clonal expansion, clonal diversity, repertoire size) extracted from antibody repertoire sequencing data (400 million reads). Across all three levels, we detected a dynamic balance of high genetic (e.g., >90% for V-gene usage and clonal expansion in naive B cells) and antigen-driven (e.g., 40% for clonal diversity in plasma cells) predetermination and stochastic variation. Our study has implications for the prediction and manipulation of humoral immunity. | |
dc.identifier.doi | 10.1016/j.celrep.2017.04.054 | |
dc.identifier.issn | 2211-1247 | |
dc.identifier.issn | 2639-1856 | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/46942 | |
dc.identifier.uri | https://doi.org/10.26041/fhnw-9966 | |
dc.issue | 7 | |
dc.language.iso | en | |
dc.publisher | CellPress | |
dc.relation.ispartof | Cell Reports | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Systems immunology | |
dc.subject | Lg-seq | |
dc.subject | Bioinformatics | |
dc.subject.ddc | 600 - Technik, Medizin, angewandte Wissenschaften | |
dc.title | Systems analysis reveals high genetic and antigen-driven predetermination of antibody repertoires throughout B cell development | |
dc.type | 01A - Beitrag in wissenschaftlicher Zeitschrift | |
dc.volume | 19 | |
dspace.entity.type | Publication | |
fhnw.InventedHere | No | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Life Sciences FHNW | de_CH |
fhnw.affiliation.institut | Institut für Medizintechnik und Medizininformatik | de_CH |
fhnw.openAccessCategory | Gold | |
fhnw.pagination | 1467-1478 | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | 3d39049f-ff63-4e50-949b-ee67f7dcb763 | |
relation.isAuthorOfPublication | 30aa6b4f-8d02-4f33-8551-6261e7383b23 | |
relation.isAuthorOfPublication.latestForDiscovery | 3d39049f-ff63-4e50-949b-ee67f7dcb763 |
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