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A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line
Current protocols measure antibody-dependent cellular cytotoxicity (ADCC) in vitro using peripheral blood mononuclear cells (PBMCs), but isolation and variability among donors limit the viability and reproducibility of this approach. Here, we present a standardized co-culture model system to quantif...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323021/ https://www.ncbi.nlm.nih.gov/pubmed/37071532 http://dx.doi.org/10.1016/j.xpro.2023.102224 |
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author | Vincken, Roos Ruiz-Saenz, Ana |
author_facet | Vincken, Roos Ruiz-Saenz, Ana |
author_sort | Vincken, Roos |
collection | PubMed |
description | Current protocols measure antibody-dependent cellular cytotoxicity (ADCC) in vitro using peripheral blood mononuclear cells (PBMCs), but isolation and variability among donors limit the viability and reproducibility of this approach. Here, we present a standardized co-culture model system to quantify ADCC on human breast cancer cells. We describe steps to engineer a natural killer cell line that stably expresses FCγRIIIa (CD16), required to mediate ADCC. We then detail the steps for the cancer-immune co-culture setup, followed by cytotoxicity measurement and analysis. |
format | Online Article Text |
id | pubmed-10323021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103230212023-07-07 A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line Vincken, Roos Ruiz-Saenz, Ana STAR Protoc Protocol Current protocols measure antibody-dependent cellular cytotoxicity (ADCC) in vitro using peripheral blood mononuclear cells (PBMCs), but isolation and variability among donors limit the viability and reproducibility of this approach. Here, we present a standardized co-culture model system to quantify ADCC on human breast cancer cells. We describe steps to engineer a natural killer cell line that stably expresses FCγRIIIa (CD16), required to mediate ADCC. We then detail the steps for the cancer-immune co-culture setup, followed by cytotoxicity measurement and analysis. Elsevier 2023-04-17 /pmc/articles/PMC10323021/ /pubmed/37071532 http://dx.doi.org/10.1016/j.xpro.2023.102224 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Vincken, Roos Ruiz-Saenz, Ana A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line |
title | A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line |
title_full | A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line |
title_fullStr | A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line |
title_full_unstemmed | A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line |
title_short | A co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line |
title_sort | co-culture model system to quantify antibody-dependent cellular cytotoxicity in human breast cancer cells using an engineered natural killer cell line |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323021/ https://www.ncbi.nlm.nih.gov/pubmed/37071532 http://dx.doi.org/10.1016/j.xpro.2023.102224 |
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