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Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach
A highly diverse T-cell receptor (TCR) repertoire is a fundamental property of an effective immune system, and is associated with efficient control of viral infections and other pathogens. However, direct measurement of total TCR diversity is impossible. The diversity is high and the frequency distr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4528489/ https://www.ncbi.nlm.nih.gov/pubmed/26150657 http://dx.doi.org/10.1098/rstb.2014.0291 |
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author | Laydon, Daniel J. Bangham, Charles R. M. Asquith, Becca |
author_facet | Laydon, Daniel J. Bangham, Charles R. M. Asquith, Becca |
author_sort | Laydon, Daniel J. |
collection | PubMed |
description | A highly diverse T-cell receptor (TCR) repertoire is a fundamental property of an effective immune system, and is associated with efficient control of viral infections and other pathogens. However, direct measurement of total TCR diversity is impossible. The diversity is high and the frequency distribution of individual TCRs is heavily skewed; the diversity therefore cannot be captured in a blood sample. Consequently, estimators of the total number of TCR clonotypes that are present in the individual, in addition to those observed, are essential. This is analogous to the ‘unseen species problem’ in ecology. We review the diversity (species richness) estimators that have been applied to T-cell repertoires and the methods used to validate these estimators. We show that existing approaches have significant shortcomings, and frequently underestimate true TCR diversity. We highlight our recently developed estimator, DivE, which can accurately estimate diversity across a range of immunological and biological systems. |
format | Online Article Text |
id | pubmed-4528489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-45284892015-09-23 Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach Laydon, Daniel J. Bangham, Charles R. M. Asquith, Becca Philos Trans R Soc Lond B Biol Sci Articles A highly diverse T-cell receptor (TCR) repertoire is a fundamental property of an effective immune system, and is associated with efficient control of viral infections and other pathogens. However, direct measurement of total TCR diversity is impossible. The diversity is high and the frequency distribution of individual TCRs is heavily skewed; the diversity therefore cannot be captured in a blood sample. Consequently, estimators of the total number of TCR clonotypes that are present in the individual, in addition to those observed, are essential. This is analogous to the ‘unseen species problem’ in ecology. We review the diversity (species richness) estimators that have been applied to T-cell repertoires and the methods used to validate these estimators. We show that existing approaches have significant shortcomings, and frequently underestimate true TCR diversity. We highlight our recently developed estimator, DivE, which can accurately estimate diversity across a range of immunological and biological systems. The Royal Society 2015-08-19 /pmc/articles/PMC4528489/ /pubmed/26150657 http://dx.doi.org/10.1098/rstb.2014.0291 Text en http://creativecommons.org/licenses/by/4.0/ © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Laydon, Daniel J. Bangham, Charles R. M. Asquith, Becca Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach |
title | Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach |
title_full | Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach |
title_fullStr | Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach |
title_full_unstemmed | Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach |
title_short | Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach |
title_sort | estimating t-cell repertoire diversity: limitations of classical estimators and a new approach |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4528489/ https://www.ncbi.nlm.nih.gov/pubmed/26150657 http://dx.doi.org/10.1098/rstb.2014.0291 |
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