Evidence map›Paper›PMID 28321219›Full record

ArticleFrontiers in immunology2017

Computational Model Reveals Limited Correlation between Germinal Center B-Cell Subclone Abundancy and Affinity: Implications for Repertoire Sequencing.

Polina Reshetova, Barbera D C van Schaik, Paul L Klarenbeek, Marieke E Doorenspleet, Rebecca E E Esveldt, Paul-Peter Tak, Jeroen E J Guikema, Niek de Vries, Antoine H C van Kampen

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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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Polina ReshetovaBiosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands; Bioinformatics Laboratory, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Barbera D C van SchaikBioinformatics Laboratory, Academic Medical Center, University of Amsterdam , Amsterdam , Netherlands.
Paul L KlarenbeekAmsterdam Rheumatology and Immunology Center, Academic Medical Center , Amsterdam , Netherlands.
Marieke E DoorenspleetAmsterdam Rheumatology and Immunology Center, Academic Medical Center , Amsterdam , Netherlands.
Rebecca E E EsveldtAmsterdam Rheumatology and Immunology Center, Academic Medical Center , Amsterdam , Netherlands.
Paul-Peter TakDepartment of Clinical Immunology and Rheumatology, Academic Medical Center, University of Amsterdam , Amsterdam , Netherlands.
Jeroen E J GuikemaDepartment of Pathology, Academic Medical Center, University of Amsterdam , Amsterdam , Netherlands.
Niek de VriesAmsterdam Rheumatology and Immunology Center, Academic Medical Center , Amsterdam , Netherlands.
Antoine H C van KampenBiosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands; Bioinformatics Laboratory, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BCR affinityclonal expansioncomputational modelinggerminal centerrepertoire sequencing

Identifiers

PMID28321219
PMCPMC5337809

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.