Evidence map›Paper›PMID 32538783›Full record

ArticleeLife2020

Quantitative modeling of the effect of antigen dosage on B-cell affinity distributions in maturating germinal centers.

Marco Molari, Klaus Eyer, Jean Baudry, Simona Cocco, Rémi Monasson

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Dynamics of memory B cells and plasmablasts in healthy individuals.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  8. Inspecting the interaction between human immunodeficiency virus and the immune system through genetic turnover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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  12. Affinity maturation for an optimal balance between long-term immune coverage and short-term resource constraints.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

5 authors at 2 institutions in 2 countries.

Marco MolariLaboratoire de Physique de l'École Normale Supérieure, ENS, PSL University, CNRS UMR8023, Sorbonne Université, Université Paris-Diderot, Sorbonne Paris Cité, Paris, France.ORCID 0000-0001-8838-4093
Klaus EyerLaboratory for Functional Immune Repertoire Analysis, Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Jean BaudryLaboratoire Colloides et Materiaux Divises (LCMD), Chemistry, Biology and Innovation (CBI), ESPCI, PSL Research and CNRS, Paris, France.
Simona Cocco *Laboratoire de Physique de l'École Normale Supérieure, ENS, PSL University, CNRS UMR8023, Sorbonne Université, Université Paris-Diderot, Sorbonne Paris Cité, Paris, France.ORCID 0000-0002-1852-7789
Rémi Monasson *Laboratoire de Physique de l'École Normale Supérieure, ENS, PSL University, CNRS UMR8023, Sorbonne Université, Université Paris-Diderot, Sorbonne Paris Cité, Paris, France.ORCID 0000-0002-4459-0204
Centre National de la Recherche Scientifique · FRETH Zurich · CH

Funding

Agence Nationale de la Recherche ANR- 10-EQPX-34Agence Nationale de la Recherche ANR-10-IDEX-0001-02 PSLAgence Nationale de la Recherche ANR-10-LABX-31Agence Nationale de la Recherche ANR-17-CE30-0021 RBMProAgence Nationale de la Recherche CE30-0021-01 RBMProH2020 European Research Council 80336
6 · The paper itself

Abstract

Affinity maturation is a complex dynamical process allowing the immune system to generate antibodies capable of recognizing antigens. We introduce a model for the evolution of the distribution of affinities across the antibody population in germinal centers. The model is amenable to detailed mathematical analysis and gives insight on the mechanisms through which antigen availability controls the rate of maturation and the expansion of the antibody population. It is also capable, upon maximum-likelihood inference of the parameters, to reproduce accurately the distributions of affinities of IgG-secreting cells we measure in mice immunized against Tetanus Toxoid under largely varying conditions (antigen dosage, delay between injections). Both model and experiments show that the average population affinity depends non-monotonically on the antigen dosage. We show that combining quantitative modeling and statistical inference is a concrete way to investigate biological processes underlying affinity maturation (such as selection permissiveness), hardly accessible through measurements.

Indexed as

Models, ImmunologicalAnimalsAntibody AffinityB-LymphocytesDose-Response Relationship, ImmunologicFemaleGerminal CenterMiceMice, Inbred BALB CReceptors, Antigen, B-CellStochastic ProcessesTetanus ToxoidReceptors, Antigen, B-CellTetanus Toxoidaffinity maturationantigen dosageB-cellimmunologyinflammationmousephysics of living systemsstatistical inferencesystems modeling

Identifiers

PMID32538783
PMCPMC7360369
OpenAlexW3035653367

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.