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The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees
We have developed a rigorous graph-theoretical algorithm for quantifying the shape properties of mutational lineage trees. We show that information about the dynamics of hypermutation and antigen-driven clonal selection during the humoral immune response is contained in the shape of mutational linea...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2002
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276115/ https://www.ncbi.nlm.nih.gov/pubmed/15144020 http://dx.doi.org/10.1080/10446670310001593541 |
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author | Dunn-Walters, Deborah K. Belelovsky, Alex Edelman, Hanna Banerjee, Monica Mehr, Ramit |
author_facet | Dunn-Walters, Deborah K. Belelovsky, Alex Edelman, Hanna Banerjee, Monica Mehr, Ramit |
author_sort | Dunn-Walters, Deborah K. |
collection | PubMed |
description | We have developed a rigorous graph-theoretical algorithm for quantifying the shape properties of mutational lineage trees. We show that information about the dynamics of hypermutation and antigen-driven clonal selection during the humoral immune response is contained in the shape of mutational lineage trees deduced from the responding clones. Age and tissue related differences in the selection process can be studied using this method. Thus, tree shape analysis can be used as a means of elucidating humoral immune response dynamics in various situations. |
format | Text |
id | pubmed-2276115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-22761152008-03-31 The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees Dunn-Walters, Deborah K. Belelovsky, Alex Edelman, Hanna Banerjee, Monica Mehr, Ramit Dev Immunol Research Article We have developed a rigorous graph-theoretical algorithm for quantifying the shape properties of mutational lineage trees. We show that information about the dynamics of hypermutation and antigen-driven clonal selection during the humoral immune response is contained in the shape of mutational lineage trees deduced from the responding clones. Age and tissue related differences in the selection process can be studied using this method. Thus, tree shape analysis can be used as a means of elucidating humoral immune response dynamics in various situations. Hindawi Publishing Corporation 2002-12 /pmc/articles/PMC2276115/ /pubmed/15144020 http://dx.doi.org/10.1080/10446670310001593541 Text en Copyright © 2002 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Dunn-Walters, Deborah K. Belelovsky, Alex Edelman, Hanna Banerjee, Monica Mehr, Ramit The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees |
title | The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees |
title_full | The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees |
title_fullStr | The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees |
title_full_unstemmed | The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees |
title_short | The Dynamics of Germinal Centre Selection as Measured by Graph-Theoretical Analysis of Mutational Lineage Trees |
title_sort | dynamics of germinal centre selection as measured by graph-theoretical analysis of mutational lineage trees |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276115/ https://www.ncbi.nlm.nih.gov/pubmed/15144020 http://dx.doi.org/10.1080/10446670310001593541 |
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