Powered by OpenAIRE graph
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao European Journal of ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
European Journal of Immunology
Article . 2010 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 2 versions

Requirements for control of B‐cell lymphoma by NK cells

Authors: Christoph D, Brenner; Susan, King; Margarethe, Przewoznik; Imke, Wolters; Christian, Adam; Georg W, Bornkamm; Dirk H, Busch; +2 Authors

Requirements for control of B‐cell lymphoma by NK cells

Abstract

AbstractThe role of NK cells in the control of endogenously arising tumors is still unclear. We monitored activation and effector functions of NK cells in a c‐myc‐transgenic mouse model of spontaneously arising lymphoma. At early stages, tumors demonstrated reduced MHC class I expression and increased expression of natural killer group 2D ligands (NKG2D‐L). NK cells in these tumors showed an activated phenotype that correlated with the loss of tumor MHC class I. With increasing tumor load however, NK‐cell effector functions became progressively paralyzed or exhausted. In later stages of disease, tumors re‐expressed MHC class I and lost NKG2D‐L, suggesting a role of these two signals for NK cell‐mediated tumor control. Testing a panel of lymphoma cell lines expressing various MHC class I and NKG2D‐L levels suggested that NK cell‐dependent tumor control required a priming and a triggering signal that were provided by MHC class I down‐regulation and by NKG2D‐L, respectively. Deleting either of the “two signals” resulted in tumor escape. At early disease stages, immune stimulation through TLR‐ligands in vivo efficiently delayed lymphoma growth in a strictly NK cell‐dependent manner. Thus, NK‐receptor coengagement is crucial for NK‐cell functions in vivo and especially for NK cell‐mediated tumor surveillance.

Keywords

Cytotoxicity, Immunologic, Mice, Inbred BALB C, Lymphoma, B-Cell, Reverse Transcriptase Polymerase Chain Reaction, Genes, myc, H-2 Antigens, Mice, Transgenic, Flow Cytometry, Gene Expression Regulation, Neoplastic, Killer Cells, Natural, Mice, Inbred C57BL, Interferon-gamma, Mice, NK Cell Lectin-Like Receptor Subfamily K, Cell Line, Tumor, Animals, Leukocyte Common Antigens, Tumor Escape, Signal Transduction

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    32
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%