Evidence map›Paper›PMID 26392015›Full record

ReviewImmunogenetics2016

The evolution of natural killer cell receptors.

Paola Carrillo-Bustamante, Can Keşmir, Rob J de Boer

Open access · hybridAbstract readReview
In one paragraph

Review in Immunogenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  8. Indirect CD4Journal of virology · 2024
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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

3 authors at 1 institution in 2 countries.

Paola Carrillo-BustamanteTheoretical Biology & Bioinformatics, Department of Biology, Utrecht University, Utrecht, The Netherlands. paola.carrillo-bustamante@bioquant.uni-heidelberg.de.
Can KeşmirTheoretical Biology & Bioinformatics, Department of Biology, Utrecht University, Utrecht, The Netherlands.
Rob J de BoerTheoretical Biology & Bioinformatics, Department of Biology, Utrecht University, Utrecht, The Netherlands.
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer (NK) cells are immune cells that play a crucial role against viral infections and tumors. To be tolerant against healthy tissue and simultaneously attack infected cells, the activity of NK cells is tightly regulated by a sophisticated array of germline-encoded activating and inhibiting receptors. The best characterized mechanism of NK cell activation is "missing self" detection, i.e., the recognition of virally infected or transformed cells that reduce their MHC expression to evade cytotoxic T cells. To monitor the expression of MHC-I on target cells, NK cells have monomorphic inhibitory receptors which interact with conserved MHC molecules. However, there are other NK cell receptors (NKRs) encoded by gene families showing a remarkable genetic diversity. Thus, NKR haplotypes contain several genes encoding for receptors with activating and inhibiting signaling, and that vary in gene content and allelic polymorphism. But if missing-self detection can be achieved by a monomorphic NKR system why have these polygenic and polymorphic receptors evolved? Here, we review the expansion of NKR receptor families in different mammal species, and we discuss several hypotheses that possibly underlie the diversification of the NK cell receptor complex, including the evolution of viral decoys, peptide sensitivity, and selective MHC-downregulation.

Indexed as

Evolution, MolecularKiller Cells, NaturalAnimalsBiological EvolutionGenetic VariationHaplotypesHumansMajor Histocompatibility ComplexMammalsPrimatesReceptors, Natural Killer CellReproductionRodentiaVirus DiseasesReceptors, Natural Killer CellAgent-based modelingHost-pathogen co-evolutionKIRNK cell receptorsViral evasion

Identifiers

PMID26392015
PMCPMC4701786
OpenAlexW2131841032

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.