Evidence map›Paper›PMID 21861182›Full record

ReviewCellular and molecular life sciences : CMLS2011

Natural killer cell activation by dendritic cells: balancing inhibitory and activating signals.

Rosa Barreira da Silva, Christian Münz

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Clinically applicable CD34Cancer immunology, immunotherapy : CII · 2021
    Article
  3. Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Modeling putative therapeutic implications of exosome exchange between tumor and immune cells.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  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

2 authors.

Rosa Barreira da SilvaDepartment of Viral Immunobiology, Institute of Experimental Immunology, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland.
Christian Münz

Funding

DC/NK interactions in human secondary lymphoid organsR01CA108609 · NCI · UNIVERSITY OF ZURICH · PI MUNZ, CHRISTIAN · 2004 to 2012
$1.8M
NCI NIH HHS R01 CA108609NCI NIH HHS R01CA108609
6 · The paper itself

Abstract

Natural killer (NK) cells have originally been identified by their spontaneous cytolytic potential against tumor cells, which, however, might result from pre-activation due to prior pathogen exposure. Resting NK cells, on the contrary, require activation by bystander antigen-presenting cells to reach their full functional competence. In this review, we will summarize studies on how dendritic cells (DCs), the most potent type of antigen-presenting cell, communicate with human NK cells to activate them in secondary lymphoid organs and to integrate signals from activated NK cells at sites of inflammation for their own maturation. Furthermore, we will review aspects of the immunological synapse, which mediates this cross-talk. These studies provide the mechanistic understanding of how mature DCs can activate NK cells and survive to go on for the activation of adaptive immunity. This feature of DCs, to activate different waves of immune responses, could be harnessed for immunotherapies, including vaccinations.

Indexed as

Lymphocyte ActivationSignal TransductionDendritic CellsHumansImmunological SynapsesInflammationKiller Cells, Natural

Identifiers

PMID21861182
PMCPMC11114903

What OpenQuestion holds

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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.