Evidence map›Paper›PMID 21739673›Full record

ReviewNature immunology2011

Natural killer cell memory.

Silke Paust, Ulrich H von Andrian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed
10.9field-weighted citation impact, top 1% 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

135 citing papers in PubMed, 232 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Introduction to the Immune System.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Adaptive NKG2CEuropean journal of immunology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Advances in NK cell production.Cellular & molecular immunology · 2022
    Review

75 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Silke PaustHarvard Medical School, Department of Pathology, Boston, Massachusetts, USA.
Ulrich H von Andrian
Harvard University · US

Funding

T Cell Activation in Lymph NodesR01AI069259 · NIAID · IMMUNE DISEASE INSTITUTE, INC. · PI VON ANDRIAN, ULRICH H · 2006 to 2015
$4.5M
Differentiation and Regulation of CTLR01AI072252 · NIAID · HARVARD MEDICAL SCHOOL · PI VON ANDRIAN, ULRICH H · 2007 to 2011
$2.1M
NIAID NIH HHS AI069259NIAID NIH HHS AI072252NIAID NIH HHS AI1078897
6 · The paper itself

Abstract

Natural killer (NK) cells are bone marrow–derived granular lymphocytes that have a key role in immune defense against viral and bacterial infections and malignancies. NK cells are traditionally defined as cells of the innate immune response because they lack RAG recombinase–dependent clonal antigen receptors. However, evidence suggests that specific subsets of mouse NK cells can nevertheless develop long-lived and highly specific memory to a variety of antigens. Here we review published evidence of NK cell–mediated, RAG-independent adaptive immunity. We also compare and contrast candidate mechanisms for mammalian NK cell memory and antigen recognition with other examples of RAG-independent pathways that generate antigen receptor diversity in non-mammalian species and discuss NK cell memory in the context of lymphocyte evolution.

Indexed as

Adaptive ImmunityAnimalsAntigensCytotoxicity, ImmunologicHumansImmunity, InnateImmunologic MemoryInterferon-gammaKiller Cells, NaturalModels, ImmunologicalAntigensInterferon-gamma

Identifiers

PMID21739673
OpenAlexW2030381404

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.