Evidence map›Paper›PMID 23637128›Full record

ArticleBlood2013

Influence of KIR gene copy number on natural killer cell education.

Vivien Béziat, James A Traherne, Lisa L Liu, Jyothi Jayaraman, Monika Enqvist, Stella Larsson, John Trowsdale, Karl-Johan Malmberg

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
4.4field-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

49 citing papers in PubMed, 79 citations in OpenAlex.

  1. Review
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  14. High-Resolution Characterization ofFrontiers in immunology · 2021
    Article
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  17. Review
  18. Single Nucleotide Polymorphism inFrontiers in immunology · 2020
    Article
  19. Review
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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

8 authors at 2 institutions in 2 countries.

Vivien BéziatKarolinska Institutet, Stockholm, Sweden. vivien.beziat@ki.se
James A Traherne
Lisa L Liu
Jyothi Jayaraman
Monika Enqvist
Stella Larsson
John Trowsdale
Karl-Johan Malmberg
Karolinska Institutet · SEOslo University Hospital · NO

Funding

Medical Research CouncilWellcome Trust 100140
6 · The paper itself

Abstract

Natural killer (NK) cells are functionally tuned by education via killer cell immunoglobulin receptors (KIRs) interacting with HLA class I molecules. We examined the effect of KIR gene copy number variation on the education of human NK cells. The frequency of NK cells expressing a given KIR correlated with the copy number of that gene. However, coexpression of multiple copies from a single locus, or duplicated loci, was infrequent, which is in line with independent transcriptional regulation of each allele or copy. Intriguingly, coexpression of 2 KIR alleles, resulting in higher surface expression, did not lead to enhanced functional responses in vitro or to selective advantages during in vivo responses to cytomegalovirus infection, suggesting that receptor density does not influence NK education at the single cell level. However, individuals with multiple KIR gene copies had higher frequencies of responding cells, consistent with heightened overall responsiveness.

Indexed as

AdolescentAdultAgedCytomegalovirusCytomegalovirus InfectionsDNA Copy Number VariationsFlow CytometryGene Expression RegulationGenotypeHLA AntigensHumansKiller Cells, NaturalLysosomal-Associated Membrane Protein 1Middle AgedNK Cell Lectin-Like Receptor Subfamily CPolymerase Chain ReactionHLA AntigensKLRC2 protein, humanLysosomal-Associated Membrane Protein 1NK Cell Lectin-Like Receptor Subfamily CReceptors, KIR

Identifiers

PMID23637128
PMCPMC3674669
OpenAlexW1971470254

What OpenQuestion holds

Textmetadata
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.