4.6 Article

Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach

Publisher

ROYAL SOC
DOI: 10.1098/rstb.2014.0291

Keywords

T-cell receptor repertoire; diversity; species richness

Categories

Funding

  1. Medical Research Council UK [K019090, J007439, G1001052]
  2. Imperial College National Institute for Health Research Biomedical Research Centre
  3. Leukaemia and Lymphoma Research [12038, 15012]
  4. European Union Seventh Framework Programme [317040]
  5. Wellcome Trust [103865/Z/14/Z] Funding Source: Wellcome Trust
  6. Medical Research Council [MR/K019090/1, MR/J007439/1, G0601072, G1001052] Funding Source: researchfish
  7. Wellcome Trust [103865/Z/14/Z] Funding Source: researchfish
  8. MRC [G0601072, MR/K019090/1, G1001052, MR/J007439/1] Funding Source: UKRI

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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 clono-types 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 under-estimate true TCR diversity. We highlight our recently developed estimator, DivE, which can accurately estimate diversity across a range of immunological and biological systems.

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