Evidence map›Paper›PMID 31636219›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Repertoire-wide phylogenetic models of B cell molecular evolution reveal evolutionary signatures of aging and vaccination.

Kenneth B Hoehn, Jason A Vander Heiden, Julian Q Zhou, Gerton Lunter, Oliver G Pybus, Steven H Kleinstein

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

89 citing papers in PubMed, 118 citations in OpenAlex.

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29 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Kenneth B HoehnDepartment of Pathology, Yale School of Medicine, New Haven, CT 06520.
Jason A Vander HeidenDepartment of Bioinformatics & Computational Biology, Genentech, South San Francisco, CA 94080.ORCID 0000-0002-1474-310X
Julian Q ZhouInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511.
Gerton LunterWellcome Centre for Human Genetics, Oxford OX3 7BN, United Kingdom.
Oliver G PybusDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom oliver.pybus@zoo.ox.ac.uk steven.kleinstein@yale.edu.
Steven H KleinsteinDepartment of Pathology, Yale School of Medicine, New Haven, CT 06520; oliver.pybus@zoo.ox.ac.uk steven.kleinstein@yale.edu.
Yale University · USCentre for Human Genetics · GBUniversity of Oxford · GB

Funding

COMPUTATIONAL TOOLS FOR THE ANALYSIS OF HIGH-THROUGHPUT IMMUNOGLOBULIN SEQUENCING EXPERIMENTSR01AI104739 · NIAID · YALE UNIVERSITY · PI KLEINSTEIN, STEVEN H. · 2014 to 2022
$3.6M
Medical Research Council MC-UU-12025NIAID NIH HHS R01 AI104739Wellcome TrustWellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

In order to produce effective antibodies, B cells undergo rapid somatic hypermutation (SHM) and selection for binding affinity to antigen via a process called affinity maturation. The similarities between this process and evolution by natural selection have led many groups to use phylogenetic methods to characterize the development of immunological memory, vaccination, and other processes that depend on affinity maturation. However, these applications are limited by the fact that most phylogenetic models are designed to be applied to individual lineages comprising genetically diverse sequences, while B cell repertoires often consist of hundreds to thousands of separate low-diversity lineages. Further, several features of affinity maturation violate important assumptions in standard phylogenetic models. Here, we introduce a hierarchical phylogenetic framework that integrates information from all lineages in a repertoire to more precisely estimate model parameters while simultaneously incorporating the unique features of SHM. We demonstrate the power of this repertoire-wide approach by characterizing previously undescribed phenomena in affinity maturation. First, we find evidence consistent with age-related changes in SHM hot-spot targeting. Second, we identify a consistent relationship between increased tree length and signs of increased negative selection, apparent in the repertoires of recently vaccinated subjects and those without any known recent infections or vaccinations. This suggests that B cell lineages shift toward negative selection over time as a general feature of affinity maturation. Our study provides a framework for undertaking repertoire-wide phylogenetic testing of SHM hypotheses and provides a means of characterizing dynamics of mutation and selection during affinity maturation.

Indexed as

Evolution, MolecularPhylogenyVaccinationAgingB-LymphocytesHumansMutationantibodyB cell repertoireBCRphylogeneticssomatic hypermutation

Identifiers

PMID31636219
PMCPMC6842591
OpenAlexW2979682945

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.