Evidence map›Paper›PMID 29944755›Full record

ReviewImmunological reviews2018

Immunoglobulin gene analysis as a tool for investigating human immune responses.

Deborah Dunn-Walters, Catherine Townsend, Emma Sinclair, Alex Stewart

Open access · hybridAbstract readReview
In one paragraph

Review in Immunological reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

30 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
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  15. Antibody repertoire sequencing analysis.Acta biochimica et biophysica Sinica · 2022
    Review
  16. Review
  17. Article
  18. iScience · 2021
    Article
  19. Article
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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

4 authors at 1 institution in 1 country.

Deborah Dunn-WaltersFaculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0002-7172-3893
Catherine TownsendFaculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0002-5555-1411
Emma SinclairFaculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
Alex StewartFaculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0003-3000-6967
University of Surrey · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G017190/1Biotechnology and Biological Sciences Research Council BB/L015854/1Medical Research Council MR/L01257X/1Medical Research Council MR/L01257X/2The Dunhill Medical Trust R279/0213
6 · The paper itself

Abstract

The human immunoglobulin repertoire is a hugely diverse set of sequences that are formed by processes of gene rearrangement, heavy and light chain gene assortment, class switching and somatic hypermutation. Early B cell development produces diverse IgM and IgD B cell receptors on the B cell surface, resulting in a repertoire that can bind many foreign antigens but which has had self-reactive B cells removed. Later antigen-dependent development processes adjust the antigen affinity of the receptor by somatic hypermutation. The effector mechanism of the antibody is also adjusted, by switching the class of the antibody from IgM to one of seven other classes depending on the required function. There are many instances in human biology where positive and negative selection forces can act to shape the immunoglobulin repertoire and therefore repertoire analysis can provide useful information on infection control, vaccination efficacy, autoimmune diseases, and cancer. It can also be used to identify antigen-specific sequences that may be of use in therapeutics. The juxtaposition of lymphocyte development and numerical evaluation of immune repertoires has resulted in the growth of a new sub-speciality in immunology where immunologists and computer scientists/physicists collaborate to assess immune repertoires and develop models of immune action.

Indexed as

Adaptive ImmunityB-LymphocytesClonal Selection, Antigen-MediatedHumansImmunoglobulin Class SwitchingImmunoglobulin DImmunoglobulin MReceptors, Antigen, B-CellSomatic Hypermutation, ImmunoglobulinImmunoglobulin DImmunoglobulin MReceptors, Antigen, B-CellantibodyB cellhumanrepertoire

Identifiers

PMID29944755
PMCPMC6033188
OpenAlexW2796626367

What Socratic 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 Socratic graph.