Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Assessment of Antibody-Dependent Cellular Cytotoxicity by Flow Cytometry

Authors: Thomas D, Duensing; Susan R, Watson;

Assessment of Antibody-Dependent Cellular Cytotoxicity by Flow Cytometry

Abstract

A useful feature of therapeutic antibodies is the ability to kill the cells to which they bind. Antibodies are capable of mediating cell killing in a variety of ways. Apoptosis, complement-mediated mechanisms, and antibody-dependent cellular cytotoxicity (ADCC) are all effects that can be assayed to characterize lead antibody candidates. Extensive, multidose characterizations of a series of candidates can be performed in a short amount of time using assays developed for high-throughput flow cytometry systems. Antibodies that contain the Fc portion of the human IgG1 can activate complement-mediated killing. In the ADCC method described here, cytotoxicity is mediated mostly by natural killer (NK) cells. Thus, if an antibody binds to its target on the surface of a tumor cell, Fc receptors on the surface of the NK cells (effector cells) recognize the bound antibody. This leads to the release of cytotoxic granules containing perforin, granzymes, and interferon γ, a cytokine that can stimulate other cells of the immune system such as T cells.

Keywords

Antibody-Dependent Cell Cytotoxicity, Humans, Immunologic Factors, Cytotoxicity Tests, Immunologic, Flow Cytometry, Antibodies, High-Throughput Screening Assays

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    2
    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.
    Average
    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.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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!
2
Average
Top 10%
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!