Evidence map›Paper›PMID 27779741›Full record

ReviewImmunology2017

Deciphering the killer-cell immunoglobulin-like receptor system at super-resolution for natural killer and T-cell biology.

Vivien Béziat, Hugo G Hilton, Paul J Norman, James A Traherne

Open access · greenAbstract readReview
In one paragraph

Review in Immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Neuron-reactive KIRNature communications · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Frequency of HLA alleles and KIR Ligands in Acute Myeloid Leukemia in Indian Cohort.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2023
    Article
  14. Article
  15. Article
  16. Article
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  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 3 institutions in 3 countries.

Vivien BéziatLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Paris, France.
Hugo G HiltonDepartments of Structural Biology and Microbiology & Immunology, Stanford University, Stanford, CA, USA.
Paul J NormanDepartments of Structural Biology and Microbiology & Immunology, Stanford University, Stanford, CA, USA.
James A TraherneDepartment of Pathology, University of Cambridge, Cambridge, UK.
Stanford University · USUniversité Paris Cité · FRUniversity of Cambridge · GB

Funding

Insights Into Immune-Related Diseases Born from Population GenomicsU01AI090905 · NIAID · UNIVERSITY OF COLORADO DENVER · PI Paul John Norman · 2010 to 2026
$10.9M
STRUCTURAL BIOLOGY OF HLA-A,B ANTIGENSR01AI017892 · NIAID · STANFORD UNIVERSITY · PI PARHAM, PETER R · 1985 to 2019
$6.1M
Medical Research CouncilNIAID NIH HHS R01 AI017892NIAID NIH HHS U01 AI090905
6 · The paper itself

Abstract

Killer-cell immunoglobulin-like receptors (KIRs) are components of two fundamental biological systems essential for human health and survival. First, they contribute to host immune responses, both innate and adaptive, through their expression by natural killer cells and T cells. Second, KIR play a key role in regulating placentation, and hence reproductive success. Analogous to the diversity of their human leucocyte antigen class I ligands, KIR are extremely polymorphic. In this review, we describe recent developments, fuelled by methodological advances, that are helping to decipher the KIR system in terms of haplotypes, polymorphisms, expression patterns and their ligand interactions. These developments are delivering deeper insight into the relevance of KIR in immune system function, evolution and disease.

Indexed as

Adaptive ImmunityAnimalsBiological EvolutionFemaleGenotypeHumansImmunity, InnateKiller Cells, NaturalPlacentationPolymorphism, GeneticPregnancyReceptors, KIRT-LymphocytesReceptors, KIRexpressionhaplotypeskiller-cell immunoglobulin-like receptorsligandsnatural killer cellpolymorphism

Identifiers

PMID27779741
PMCPMC5290243
OpenAlexW2535570660

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.