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Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach
Clonal structure of the human peripheral T-cell repertoire is shaped by a number of homeostatic mechanisms, including antigen presentation, cytokine and cell regulation. Its accurate tuning leads to a remarkable ability to combat pathogens in all their variety, while systemic failures may lead to se...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4183510/ https://www.ncbi.nlm.nih.gov/pubmed/25275470 http://dx.doi.org/10.1371/journal.pone.0108658 |
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author | Bolkhovskaya, Olesya V. Zorin, Daniil Yu. Ivanchenko, Mikhail V. |
author_facet | Bolkhovskaya, Olesya V. Zorin, Daniil Yu. Ivanchenko, Mikhail V. |
author_sort | Bolkhovskaya, Olesya V. |
collection | PubMed |
description | Clonal structure of the human peripheral T-cell repertoire is shaped by a number of homeostatic mechanisms, including antigen presentation, cytokine and cell regulation. Its accurate tuning leads to a remarkable ability to combat pathogens in all their variety, while systemic failures may lead to severe consequences like autoimmune diseases. Here we develop and make use of a non-parametric statistical approach to assess T cell clonal size distributions from recent next generation sequencing data. For 41 healthy individuals and a patient with ankylosing spondylitis, who undergone treatment, we invariably find power law scaling over several decades and for the first time calculate quantitatively meaningful values of decay exponent. It has proved to be much the same among healthy donors, significantly different for an autoimmune patient before the therapy, and converging towards a typical value afterwards. We discuss implications of the findings for theoretical understanding and mathematical modeling of adaptive immunity. |
format | Online Article Text |
id | pubmed-4183510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41835102014-10-07 Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach Bolkhovskaya, Olesya V. Zorin, Daniil Yu. Ivanchenko, Mikhail V. PLoS One Research Article Clonal structure of the human peripheral T-cell repertoire is shaped by a number of homeostatic mechanisms, including antigen presentation, cytokine and cell regulation. Its accurate tuning leads to a remarkable ability to combat pathogens in all their variety, while systemic failures may lead to severe consequences like autoimmune diseases. Here we develop and make use of a non-parametric statistical approach to assess T cell clonal size distributions from recent next generation sequencing data. For 41 healthy individuals and a patient with ankylosing spondylitis, who undergone treatment, we invariably find power law scaling over several decades and for the first time calculate quantitatively meaningful values of decay exponent. It has proved to be much the same among healthy donors, significantly different for an autoimmune patient before the therapy, and converging towards a typical value afterwards. We discuss implications of the findings for theoretical understanding and mathematical modeling of adaptive immunity. Public Library of Science 2014-10-02 /pmc/articles/PMC4183510/ /pubmed/25275470 http://dx.doi.org/10.1371/journal.pone.0108658 Text en © 2014 Bolkhovskaya et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Bolkhovskaya, Olesya V. Zorin, Daniil Yu. Ivanchenko, Mikhail V. Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach |
title | Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach |
title_full | Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach |
title_fullStr | Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach |
title_full_unstemmed | Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach |
title_short | Assessing T Cell Clonal Size Distribution: A Non-Parametric Approach |
title_sort | assessing t cell clonal size distribution: a non-parametric approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4183510/ https://www.ncbi.nlm.nih.gov/pubmed/25275470 http://dx.doi.org/10.1371/journal.pone.0108658 |
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