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The naive T-cell receptor repertoire has an extremely broad distribution of clone sizes
- Source :
- eLife, eLife, 9, 1. eLife Sciences Publications, eLife, Vol 9 (2020)
- Publication Year :
- 2019
-
Abstract
- The human naive T-cell receptor (TCR) repertoire is extremely diverse and accurately estimating its distribution is challenging. We address this challenge by combining a quantitative sequencing protocol of TCRA and TCRB sequences with computational modelling. We observed the vast majority of TCR chains only once in our samples, confirming the enormous diversity of the naive repertoire. However, a substantial number of sequences were observed multiple times within samples, and we demonstrated that this is due to expression by many cells in the naive pool. We reason that α and β chains are frequently observed due to a combination of selective processes and summation over multiple clones expressing these chains. We test the contribution of both mechanisms by predicting samples from phenomenological and mechanistically modelled repertoire distributions. By comparing these with sequencing data, we show that frequently observed chains are likely to be derived from multiple clones. Still, a neutral model of T-cell homeostasis cannot account for the observed distributions. We conclude that the data are only compatible with distributions of many small clones in combination with a sufficient number of very large naive T-cell clones, the latter most likely as a result of peripheral selection.
- Subjects :
- 0301 basic medicine
Receptors, Antigen, T-Cell, alpha-beta
T-Lymphocytes
Clone (cell biology)
Adaptive Immunity
Biochemistry
0302 clinical medicine
Immunology and Inflammation
Receptor repertoire
T-Lymphocyte Subsets
Biology (General)
Receptor
General Neuroscience
Repertoire
High-Throughput Nucleotide Sequencing
General Medicine
bioinformatics
Acquired immune system
Organ Specificity
Medicine
Recombination
Neutral model
Algorithms
Research Article
Computational and Systems Biology
Human
Naive T cell
QH301-705.5
Systems biology
Science
Neuroscience(all)
Sequencing data
Receptors, Antigen, T-Cell
Computational biology
Biology
Models, Biological
General Biochemistry, Genetics and Molecular Biology
Clonal Evolution
modelling
03 medical and health sciences
Immunology and Microbiology(all)
Humans
Antigens
repertoire sequencing
General Immunology and Microbiology
Biochemistry, Genetics and Molecular Biology(all)
T-cell receptor
Computational Biology
V(D)J Recombination
030104 developmental biology
Evolutionary biology
Immunologic Memory
030217 neurology & neurosurgery
Genetics and Molecular Biology(all)
Subjects
Details
- ISSN :
- 2050084X
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- eLife
- Accession number :
- edsair.doi.dedup.....dfaa5257f2cc2b540f71909a0c5a69a3