Evidence map›Paper›PMID 32069281›Full record

ArticlePLoS computational biology2020

Structural diversity of B-cell receptor repertoires along the B-cell differentiation axis in humans and mice.

Aleksandr Kovaltsuk, Matthew I J Raybould, Wing Ki Wong, Claire Marks, Sebastian Kelm, James Snowden, Johannes Trück, Charlotte M Deane

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. How repertoire data are changing antibody science.The Journal of biological chemistry · 2020
    Review
  18. Article
  19. Article
  20. Methods for sequence and structural analysis of B and T cell receptor repertoires.Computational and structural biotechnology journal · 2020
    Review
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

8 authors.

Aleksandr KovaltsukDepartment of Statistics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-3806-8302
Matthew I J RaybouldDepartment of Statistics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5663-5297
Wing Ki WongDepartment of Statistics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-4029-6902
Claire MarksDepartment of Statistics, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5931-2437
Sebastian KelmUCB Pharma, Slough, United Kingdom.
James SnowdenUCB Pharma, Slough, United Kingdom.ORCID 0000-0003-4855-7329
Johannes TrückDivision of Immunology, University Children's Hospital, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-0418-7381
Charlotte M DeaneDepartment of Statistics, University of Oxford, Oxford, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/M011224/1Medical Research Council
6 · The paper itself

Abstract

Most current analysis tools for antibody next-generation sequencing data work with primary sequence descriptors, leaving accompanying structural information unharnessed. We have used novel rapid methods to structurally characterize the complementary-determining regions (CDRs) of more than 180 million human and mouse B-cell receptor (BCR) repertoire sequences. These structurally annotated CDRs provide unprecedented insights into both the structural predetermination and dynamics of the adaptive immune response. We show that B-cell types can be distinguished based solely on these structural properties. Antigen-unexperienced BCR repertoires use the highest number and diversity of CDR structures and these patterns of naïve repertoire paratope usage are highly conserved across subjects. In contrast, more differentiated B-cells are more personalized in terms of CDR structure usage. Our results establish the CDR structure differences in BCR repertoires and have applications for many fields including immunodiagnostics, phage display library generation, and "humanness" assessment of BCR repertoires from transgenic animals. The software tool for structural annotation of BCR repertoires, SAAB+, is available at https://github.com/oxpig/saab_plus.

Indexed as

Cell DifferentiationAdaptive ImmunityAnimalsAnimals, Genetically ModifiedAntibodiesB-LymphocytesCluster AnalysisHigh-Throughput Nucleotide SequencingHumansImmunoglobulin GMiceMice, Inbred C57BLPrincipal Component AnalysisReceptors, Antigen, B-CellSoftwareAntibodiesImmunoglobulin GReceptors, Antigen, B-Cell

Identifiers

PMID32069281
PMCPMC7048297

What OpenQuestion holds

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LicenceCC BY
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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.