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Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics

Chimeric antigen receptors (CARs) have recently been approved for the treatment of hematological malignancies, but our lack of understanding of the basic mechanisms that activate these proteins has made it difficult to optimize and control CAR-based therapies. In this study, we use phosphoproteomic...

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Detalles Bibliográficos
Autores principales: Rohrs, Jennifer A., Zheng, Dongqing, Graham, Nicholas A., Wang, Pin, Finley, Stacey D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139883/
https://www.ncbi.nlm.nih.gov/pubmed/30197180
http://dx.doi.org/10.1016/j.bpj.2018.08.018
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author Rohrs, Jennifer A.
Zheng, Dongqing
Graham, Nicholas A.
Wang, Pin
Finley, Stacey D.
author_facet Rohrs, Jennifer A.
Zheng, Dongqing
Graham, Nicholas A.
Wang, Pin
Finley, Stacey D.
author_sort Rohrs, Jennifer A.
collection PubMed
description Chimeric antigen receptors (CARs) have recently been approved for the treatment of hematological malignancies, but our lack of understanding of the basic mechanisms that activate these proteins has made it difficult to optimize and control CAR-based therapies. In this study, we use phosphoproteomic mass spectrometry and mechanistic computational modeling to quantify the in vitro kinetics of individual tyrosine phosphorylation on a variety of CARs. We show that each of the 10 tyrosine sites on the CD28-CD3ζ CAR is phosphorylated by lymphocyte-specific protein-tyrosine kinase (LCK) with distinct kinetics. The addition of CD28 at the N-terminal of CD3ζ increases the overall rate of CD3ζ phosphorylation. Our computational model identifies that LCK phosphorylates CD3ζ through a mechanism of competitive inhibition. This model agrees with previously published data in the literature and predicts that phosphatases in this system interact with CD3ζ through a similar mechanism of competitive inhibition. This quantitative modeling framework can be used to better understand CAR signaling and T cell activation.
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spelling pubmed-61398832019-09-18 Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics Rohrs, Jennifer A. Zheng, Dongqing Graham, Nicholas A. Wang, Pin Finley, Stacey D. Biophys J Systems Biophysics Chimeric antigen receptors (CARs) have recently been approved for the treatment of hematological malignancies, but our lack of understanding of the basic mechanisms that activate these proteins has made it difficult to optimize and control CAR-based therapies. In this study, we use phosphoproteomic mass spectrometry and mechanistic computational modeling to quantify the in vitro kinetics of individual tyrosine phosphorylation on a variety of CARs. We show that each of the 10 tyrosine sites on the CD28-CD3ζ CAR is phosphorylated by lymphocyte-specific protein-tyrosine kinase (LCK) with distinct kinetics. The addition of CD28 at the N-terminal of CD3ζ increases the overall rate of CD3ζ phosphorylation. Our computational model identifies that LCK phosphorylates CD3ζ through a mechanism of competitive inhibition. This model agrees with previously published data in the literature and predicts that phosphatases in this system interact with CD3ζ through a similar mechanism of competitive inhibition. This quantitative modeling framework can be used to better understand CAR signaling and T cell activation. The Biophysical Society 2018-09-18 2018-08-22 /pmc/articles/PMC6139883/ /pubmed/30197180 http://dx.doi.org/10.1016/j.bpj.2018.08.018 Text en © 2018 Biophysical Society. http://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 Systems Biophysics
Rohrs, Jennifer A.
Zheng, Dongqing
Graham, Nicholas A.
Wang, Pin
Finley, Stacey D.
Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics
title Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics
title_full Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics
title_fullStr Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics
title_full_unstemmed Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics
title_short Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics
title_sort computational model of chimeric antigen receptors explains site-specific phosphorylation kinetics
topic Systems Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139883/
https://www.ncbi.nlm.nih.gov/pubmed/30197180
http://dx.doi.org/10.1016/j.bpj.2018.08.018
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