Evidence map›Paper›PMID 26802217›Full record

ReviewMolecular biology and evolution2016

The Diversity and Molecular Evolution of B-Cell Receptors during Infection.

Kenneth B Hoehn, Anna Fowler, Gerton Lunter, Oliver G Pybus

Open access · greenAbstract readReview
In one paragraph

Review in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

58 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
  2. Review
  3. Dynamics of memory B cells and plasmablasts in healthy individuals.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
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  6. Review
  7. Article
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  9. Review
  10. Article
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  12. Article
  13. B cell tolerance and autoimmunity: Lessons from repertoires.The Journal of experimental medicine · 2024
    Review
  14. Article
  15. Article
  16. Destabilisation of T cell-dependent humoral immunity in sepsis.Clinical science (London, England : 1979) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors at 2 institutions in 1 country.

Kenneth B HoehnDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Anna FowlerWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
Gerton LunterWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford, United Kingdom oliver.pybus@zoo.ox.ac.uk.
University of Oxford · GBCentre for Human Genetics · GB

Funding

Wellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

B-cell receptors (BCRs) are membrane-bound immunoglobulins that recognize and bind foreign proteins (antigens). BCRs are formed through random somatic changes of germline DNA, creating a vast repertoire of unique sequences that enable individuals to recognize a diverse range of antigens. After encountering antigen for the first time, BCRs undergo a process of affinity maturation, whereby cycles of rapid somatic mutation and selection lead to improved antigen binding. This constitutes an accelerated evolutionary process that takes place over days or weeks. Next-generation sequencing of the gene regions that determine BCR binding has begun to reveal the diversity and dynamics of BCR repertoires in unprecedented detail. Although this new type of sequence data has the potential to revolutionize our understanding of infection dynamics, quantitative analysis is complicated by the unique biology and high diversity of BCR sequences. Models and concepts from molecular evolution and phylogenetics that have been applied successfully to rapidly evolving pathogen populations are increasingly being adopted to study BCR diversity and divergence within individuals. However, BCR dynamics may violate key assumptions of many standard evolutionary methods, as they do not descend from a single ancestor, and experience biased mutation. Here, we review the application of evolutionary models to BCR repertoires and discuss the issues we believe need be addressed for this interdisciplinary field to flourish.

Indexed as

Adaptive ImmunityAntibody AffinityB-LymphocytesEvolution, MolecularGenetic VariationHigh-Throughput Nucleotide SequencingHumansImmunoglobulinsInfectionsMembrane ProteinsMutationReceptors, Antigen, B-CellImmunoglobulinsMembrane ProteinsReceptors, Antigen, B-CellB-cell receptordiversityimmunoglobulininfection.molecular evolution

Identifiers

PMID26802217
PMCPMC4839220
OpenAlexW2290663115

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.