Towards a robust comparison of diversity between sampled TCR repertoires
de Greef, P. C.; de Boer, R. J.
Show abstract
T-cell receptor (TCR) repertoire sequencing data provides quantitative insight into the distribution of T-cell clones. The diversity of the TCR repertoire in humans tends do decrease with age, which may be a key determinant explaining immune senescence in older individuals. To address this, we first analyze how the diversity of a potential T-cell response against an unseen pathogen changes with age. Next, we discuss the complications with interpreting the outcomes of such an analysis. Specifically, the changes in T-cell subset sizes confound analyses of TCR diversity, and typical sample sizes do not easily allow for a robust quantification of this diversity. Thus, explaining immune senescence as a result of decreasing TCR diversity is far from straightforward and requires a detailed, robust, and quantitative analysis.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Phenotypic and clonal stability of antigen-inexperienced memory-like T cells across the genetic background, hygienic status, and aging 94%
- CD4+ Mucosal-associated Invariant T (MAIT) cells express highly diverse T cell receptors 91%
- Addressing technical pitfalls in pursuit of molecular factors that mediate immunoglobulin gene regulation 91%
Similar papers in this journal
- Population based selection shapes the T cell receptor repertoire during thymic development 95%
- The naive T-cell receptor repertoire has an extremely broad distribution of clone sizes 95%
- Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection 94%
Similar papers in this journal
- Human leukocyte antigen class II gene diversity tunes antibody repertoires to common pathogens 92%
- Single-cell transcriptomic analyses define distinct peripheral B cell subsets and discrete development pathways 92%
- Public T-Cell Receptors (TCRs) Revisited by Analysis of the Magnitude of Identical and Highly-Similar TCRs in Virus-Specific T-Cell Repertoires of Healthy Individuals 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.