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

Assessing Antibody-dependent, Cell-mediated Cytotoxicity in Cancer Cells using Antibody-Dependent Cell-Mediated Cytotoxicity Reporter Bioassay

Authors: Kelvin Kam Yew, Kuan; Ke, Zhang; Koon Hwee, Ang; Min, Thura; Wei Hui, Zheng;

Assessing Antibody-dependent, Cell-mediated Cytotoxicity in Cancer Cells using Antibody-Dependent Cell-Mediated Cytotoxicity Reporter Bioassay

Abstract

The method for antibody-dependent, cell-mediated cytotoxicity (ADCC) represents an important tool to assess the efficacy of therapeutic antibodies in cancer immunotherapy. Evaluating ADCC activity in cancer cells is essential for the development and optimization of antibody-based treatments. Here, we propose a methodological approach of utilizing an ADCC bioassay kit for quantitative assessment of ADCC reaction using thyroid cancer cells as effector cells. The protocol involves the co-culture of effector cells with target cancer cells in different ratios in the presence of a therapeutic antibody. The ADCC bioassay kit used in this experiment includes the genetically engineered effector cells expressing a luciferase reporter gene under the control of Nuclear Factor of Activated T-cell (NFAT) response elements. Upon the binding of the surface antigen on the target cells with the antibodies and effector cells, the effector cells release luciferase, enabling quantification of cytotoxicity through measurement of luminescence signal. In contrast to conventional ADCC assays, this method proved the binding of target antigen with antibodies and effector cells, which can produce reliable results in a short period.

Related Organizations
Keywords

Genes, Reporter, Cell Line, Tumor, Antibody-Dependent Cell Cytotoxicity, Humans, Biological Assay, Thyroid Neoplasms, Luciferases

  • 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).
    0
    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).
    Average
    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!
0
Average
Average
Average
Related to Research communities
Cancer Research
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!