Abstract
Modern single-cell sequencing techniques allow the unique T cell receptor (TCR) signature of each of a sample of hundreds of T cells to be read. The mathematical challenge is to extrapolate from the properties of a sample to those of the whole repertoire of an individual, made up of many millions of T cells. We consider the distribution of the number of repeats of any TCR in a sample, the mean number of cells needed to find a repeat with probability one half, and the relationship between the true distribution of clonal sizes and that experimentally observed in a sample. In the simplest hypothesis for the structure of the repertoire, the same number of cells make up each clonotype. We also consider the case where the distribution of clonal sizes is geometric, and examples where a small fraction of clones in the repertoire are expanded.
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Acknowledgements
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) through the Marie-Curie Action “Quantitative T cell Immunology” Initial Training Network, with reference number FP7-PEOPLE-2012-ITN 317040-QuanTI.
We have benefitted from discussions with Pedro Gonçalves and Benedita Rocha, and from the helpful comments of an anonymous referee.
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Ferrarini, M., Molina-París, C., Lythe, G. (2017). Sampling from T Cell Receptor Repertoires. In: Graw, F., Matthäus, F., Pahle, J. (eds) Modeling Cellular Systems. Contributions in Mathematical and Computational Sciences, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-45833-5_3
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DOI: https://doi.org/10.1007/978-3-319-45833-5_3
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