Evidence map›Paper›PMID 19036608›Full record

ReviewSeminars in immunology2008

The genetic and evolutionary balances in human NK cell receptor diversity.

Peter Parham

Abstract readReview
In one paragraph

Review in Seminars in immunology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–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

54 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Influenza hemagglutinin-specific IgA Fc-effector functionality is restricted to stalk epitopes.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
  9. Review
  10. Review
  11. NK Cell-Based Immune Checkpoint Inhibition.Frontiers in immunology · 2020
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Donor KIR B Genotype Improves Progression-Free Survival of Non-Hodgkin Lymphoma Patients Receiving Unrelated Donor Transplantation.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2016
    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

1 author.

Peter ParhamDepartment of Structural Biology, Stanford University School of Medicine, 299 Campus Drive West, Stanford, CA 94305, USA. peropa@stanford.edu

Funding

THE NATURE AND FUNCTION OF HLA-A,B,C POLYMORPHISMR01AI024258 · NIAID · STANFORD UNIVERSITY · PI PARHAM, PETER R · 1986 to 2020
$5.3M
NIAID NIH HHS R01 AI024258
6 · The paper itself

Abstract

In primates and cattle two ancient killer-cell immunoglobulin-like receptor (KIR) lineages independently evolved to become diverse NK cell receptors. In mice, KIR genes were sidelined to the X chromosome, a possible consequence of pathogen-mediated selection on the receptor for IgA-Fc. In humans, KIR uniquely form two omnipresent haplotype groups (A and B), postulated here to play complementary and necessary roles in immune defense and reproduction. The basis of KIR3DL1/S1 polymorphism is three ancient lineages maintained by long-term balancing selection and present in all human populations. Conserved and variable NK cell receptors produce structurally diverse NK cell receptor repertoires within a defined range of missing-self-response.

Indexed as

Evolution, MolecularAnimalsAntigens, CDGenetic VariationHumansKiller Cells, NaturalReceptors, FcReceptors, KIRReceptors, KIR3DL1Receptors, Natural Killer CellReproductionAntigens, CDFc(alpha) receptorReceptors, FcReceptors, KIRReceptors, KIR3DL1Receptors, Natural Killer Cell

Identifiers

PMID19036608
PMCPMC3205964

What OpenQuestion holds

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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.