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Leukemia
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Leukemia
Article . 2005 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Leukemia
Article . 2005
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CD56dimCD16neg cells are responsible for natural cytotoxicity against tumor targets

Authors: O, Penack; C, Gentilini; L, Fischer; A M, Asemissen; C, Scheibenbogen; E, Thiel; L, Uharek;

CD56dimCD16neg cells are responsible for natural cytotoxicity against tumor targets

Abstract

The activation of natural killer (NK) cells leads to degranulation and secretion of cytotoxic granula. During this process, the lytic granule membrane protein CD107a becomes detectable at the cell surface. Based on this phenomenon, we have analyzed by a novel flow cytometry-based assay, the number and phenotype of NK cells responding to tumor targets. Using human leukemia and lymphoma cell lines, we observed a close correlation between CD107a surface expression and target cell lysis, indicating that NK cell cytotoxicity can be assessed by this method. The number of degranulating NK cells was closely related to the ratio of effector and target cells and showed a maximum at a ratio of 1:1. Moreover, we were able to show that the population of CD56(dim)/CD16(neg) NK cells is primarily responsible for the cytotoxic activity against tumor targets whereas neither CD56(dim)/CD16(pos) nor CD56(bright) NK cells degranulated in response to the cell lines. Our results indicate that the CD107a assay represents a promising new method for the quantification and characterization of cells exhibiting natural cytotoxicity.

Related Organizations
Keywords

Cytotoxicity, Immunologic, Leukemia, Flow Cytometry, Lysosomal Membrane Proteins, CD56 Antigen, Cell Degranulation, Immunity, Innate, Killer Cells, Natural, Phenotype, Antigens, CD, Lysosomal-Associated Membrane Protein 1, Cell Line, Tumor, Humans

  • 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).
    128
    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%
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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!
128
Top 10%
Top 10%
Top 10%
bronze
Related to Research communities
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