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Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors
One of the key phenomena in the adaptive immune response to infection and immunization is affinity maturation, during which antibody genes are mutated and selected, typically resulting in a substantial increase in binding affinity to the eliciting antigen. Advances in technology on several fronts ha...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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F1000Research
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901458/ https://www.ncbi.nlm.nih.gov/pubmed/24555054 http://dx.doi.org/10.12688/f1000research.2-103.v1 |
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author | Kepler, Thomas B |
author_facet | Kepler, Thomas B |
author_sort | Kepler, Thomas B |
collection | PubMed |
description | One of the key phenomena in the adaptive immune response to infection and immunization is affinity maturation, during which antibody genes are mutated and selected, typically resulting in a substantial increase in binding affinity to the eliciting antigen. Advances in technology on several fronts have made it possible to clone large numbers of heavy-chain light-chain pairs from individual B cells and thereby identify whole sets of clonally related antibodies. These collections could provide the information necessary to reconstruct their own history - the sequence of changes introduced into the lineage during the development of the clone - and to study affinity maturation in detail. But the success of such a program depends entirely on accurately inferring the founding ancestor and the other unobserved intermediates. Given a set of clonally related immunoglobulin V-region genes, the method described here allows one to compute the posterior distribution over their possible ancestors, thereby giving a thorough accounting of the uncertainty inherent in the reconstruction. I demonstrate the application of this method on heavy-chain and light-chain clones, assess the reliability of the inference, and discuss the sources of uncertainty. |
format | Online Article Text |
id | pubmed-3901458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-39014582014-01-28 Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors Kepler, Thomas B F1000Res Research Article One of the key phenomena in the adaptive immune response to infection and immunization is affinity maturation, during which antibody genes are mutated and selected, typically resulting in a substantial increase in binding affinity to the eliciting antigen. Advances in technology on several fronts have made it possible to clone large numbers of heavy-chain light-chain pairs from individual B cells and thereby identify whole sets of clonally related antibodies. These collections could provide the information necessary to reconstruct their own history - the sequence of changes introduced into the lineage during the development of the clone - and to study affinity maturation in detail. But the success of such a program depends entirely on accurately inferring the founding ancestor and the other unobserved intermediates. Given a set of clonally related immunoglobulin V-region genes, the method described here allows one to compute the posterior distribution over their possible ancestors, thereby giving a thorough accounting of the uncertainty inherent in the reconstruction. I demonstrate the application of this method on heavy-chain and light-chain clones, assess the reliability of the inference, and discuss the sources of uncertainty. F1000Research 2013-04-03 /pmc/articles/PMC3901458/ /pubmed/24555054 http://dx.doi.org/10.12688/f1000research.2-103.v1 Text en Copyright: © 2013 Kepler TB http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/publicdomain/zero/1.0/ Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication). |
spellingShingle | Research Article Kepler, Thomas B Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors |
title | Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors |
title_full | Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors |
title_fullStr | Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors |
title_full_unstemmed | Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors |
title_short | Reconstructing a B-cell clonal lineage. I. Statistical inference of unobserved ancestors |
title_sort | reconstructing a b-cell clonal lineage. i. statistical inference of unobserved ancestors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901458/ https://www.ncbi.nlm.nih.gov/pubmed/24555054 http://dx.doi.org/10.12688/f1000research.2-103.v1 |
work_keys_str_mv | AT keplerthomasb reconstructingabcellclonallineageistatisticalinferenceofunobservedancestors |