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Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells

Understanding molecular interactions on immune cells is crucial for drug development to treat cancer and autoimmune diseases. When characterizing molecular interactions, the use of a relevant living model system is important, as processes such as receptor oligomerization and clustering can influence...

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Autores principales: Bondza, Sina, Foy, Eleanor, Brooks, Jonathan, Andersson, Karl, Robinson, James, Richalet, Pascale, Buijs, Jos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5401896/
https://www.ncbi.nlm.nih.gov/pubmed/28484455
http://dx.doi.org/10.3389/fimmu.2017.00455
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author Bondza, Sina
Foy, Eleanor
Brooks, Jonathan
Andersson, Karl
Robinson, James
Richalet, Pascale
Buijs, Jos
author_facet Bondza, Sina
Foy, Eleanor
Brooks, Jonathan
Andersson, Karl
Robinson, James
Richalet, Pascale
Buijs, Jos
author_sort Bondza, Sina
collection PubMed
description Understanding molecular interactions on immune cells is crucial for drug development to treat cancer and autoimmune diseases. When characterizing molecular interactions, the use of a relevant living model system is important, as processes such as receptor oligomerization and clustering can influence binding patterns. We developed a protocol to enable time-resolved analysis of ligand binding to receptors on living suspension cells. Different suspension cell lines and weakly adhering cells were tethered to Petri dishes with the help of a biomolecular anchor molecule, and antibody binding was analyzed using LigandTracer. The protocol and assay described in this report were used to characterize interactions involving eight cell lines. Experiments were successfully conducted in three different laboratories, demonstrating the robustness of the protocol. For various antibodies, affinities and kinetic rate constants were obtained for binding to CD20 on both Daudi and Ramos B-cells, the T-cell co-receptor CD3 on Jurkat cells, and the Fcγ receptor CD32 on transfected HEK293 cells, respectively. Analyzing the binding of Rituximab to B-cells resulted in an affinity of 0.7–0.9 nM, which is similar to values reported previously for living B-cells. However, we observed a heterogeneous behavior for Rituximab interacting with B-cells, which to our knowledge has not been described previously. The understanding of complex interactions will be facilitated with the possibility to characterize binding processes in real-time on living immune cells. This provides the chance to broaden the understanding of how binding kinetics relate to biological function.
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spelling pubmed-54018962017-05-08 Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells Bondza, Sina Foy, Eleanor Brooks, Jonathan Andersson, Karl Robinson, James Richalet, Pascale Buijs, Jos Front Immunol Immunology Understanding molecular interactions on immune cells is crucial for drug development to treat cancer and autoimmune diseases. When characterizing molecular interactions, the use of a relevant living model system is important, as processes such as receptor oligomerization and clustering can influence binding patterns. We developed a protocol to enable time-resolved analysis of ligand binding to receptors on living suspension cells. Different suspension cell lines and weakly adhering cells were tethered to Petri dishes with the help of a biomolecular anchor molecule, and antibody binding was analyzed using LigandTracer. The protocol and assay described in this report were used to characterize interactions involving eight cell lines. Experiments were successfully conducted in three different laboratories, demonstrating the robustness of the protocol. For various antibodies, affinities and kinetic rate constants were obtained for binding to CD20 on both Daudi and Ramos B-cells, the T-cell co-receptor CD3 on Jurkat cells, and the Fcγ receptor CD32 on transfected HEK293 cells, respectively. Analyzing the binding of Rituximab to B-cells resulted in an affinity of 0.7–0.9 nM, which is similar to values reported previously for living B-cells. However, we observed a heterogeneous behavior for Rituximab interacting with B-cells, which to our knowledge has not been described previously. The understanding of complex interactions will be facilitated with the possibility to characterize binding processes in real-time on living immune cells. This provides the chance to broaden the understanding of how binding kinetics relate to biological function. Frontiers Media S.A. 2017-04-24 /pmc/articles/PMC5401896/ /pubmed/28484455 http://dx.doi.org/10.3389/fimmu.2017.00455 Text en Copyright © 2017 Bondza, Foy, Brooks, Andersson, Robinson, Richalet and Buijs. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Bondza, Sina
Foy, Eleanor
Brooks, Jonathan
Andersson, Karl
Robinson, James
Richalet, Pascale
Buijs, Jos
Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells
title Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells
title_full Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells
title_fullStr Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells
title_full_unstemmed Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells
title_short Real-time Characterization of Antibody Binding to Receptors on Living Immune Cells
title_sort real-time characterization of antibody binding to receptors on living immune cells
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5401896/
https://www.ncbi.nlm.nih.gov/pubmed/28484455
http://dx.doi.org/10.3389/fimmu.2017.00455
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