ArticleFrontiers in immunology2017
Computational Model Reveals Limited Correlation between Germinal Center B-Cell Subclone Abundancy and Affinity: Implications for Repertoire Sequencing.
Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Examining B-cell dynamics and responsiveness in different inflammatory milieus using an agent-based model.PLoS computational biology · 2024Article
- Understanding repertoire sequencing data through a multiscale computational model of the germinal center.NPJ systems biology and applications · 2023Article
- Exploring the impact of clonal definition on B-cell diversity: implications for the analysis of immune repertoires.Frontiers in immunology · 2023Article
- Article
- From affinity selection to kinetic selection in Germinal Centre modelling.PLoS computational biology · 2022Article
- A scalable model for simulating multi-round antibody evolution and benchmarking of clonal tree reconstruction methods.Frontiers in immunology · 2022Article
- Computational Model Reveals a Stochastic Mechanism behind Germinal Center Clonal Bursts.Cells · 2020Article
- A Sensitivity Analysis Comparison of Three Models for the Dynamics of Germinal Centers.Frontiers in immunology · 2019Article
- Beyond Hot Spots: Biases in Antibody Somatic Hypermutation and Implications for Vaccine Design.Frontiers in immunology · 2018Review
- Benchmarking Tree and Ancestral Sequence Inference for B Cell Receptor Sequences.Frontiers in immunology · 2018Article
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9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Immunoglobulin repertoire sequencing has successfully been applied to identify expanded antigen-activated B-cell clones that play a role in the pathogenesis of immune disorders. One challenge is the selection of the Ag-specific B cells from the measured repertoire for downstream analyses. A general feature of an immune response is the expansion of specific clones resulting in a set of subclones with common ancestry varying in abundance and in the number of acquired somatic mutations. The expanded subclones are expected to have BCR affinities for the Ag higher than the affinities of the naive B cells in the background population. For these reasons, several groups successfully proceeded or suggested selecting highly abundant subclones from the repertoire to obtain the Ag-specific B cells. Given the nature of affinity maturation one would expect that abundant subclones are of high affinity but since repertoire sequencing only provides information about abundancies, this can only be verified with additional experiments, which are very labor intensive. Moreover, this would also require knowledge of the Ag, which is often not available for clinical samples. Consequently, in general we do not know if the selected highly abundant subclone(s) are also the high(est) affinity subclones. Such knowledge would likely improve the selection of relevant subclones for further characterization and Ag screening. Therefore, to gain insight in the relation between subclone abundancy and affinity, we developed a computational model that simulates affinity maturation in a single GC while tracking individual subclones in terms of abundancy and affinity. We show that the model correctly captures the overall GC dynamics, and that the amount of expansion is qualitatively comparable to expansion observed from B cells isolated from human lymph nodes. Analysis of the fraction of high- and low-affinity subclones among the unexpanded and expanded subclones reveals a limited correlation between abundancy and affinity and shows that the low abundant subclones are of highest affinity. Thus, our model suggests that selecting highly abundant subclones from repertoire sequencing experiments would not always lead to the high(est) affinity B cells. Consequently, additional or alternative selection approaches need to be applied.
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