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Computational Model of Chimeric Antigen Receptors Explains Site-Specific Phosphorylation Kinetics.
Rohrs, Jennifer A; Zheng, Dongqing; Graham, Nicholas A; Wang, Pin; Finley, Stacey D.
Afiliação
  • Rohrs JA; Department of Biomedical Engineering, University of Southern California, Los Angeles, California.
  • Zheng D; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California.
  • Graham NA; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California.
  • Wang P; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California.
  • Finley SD; Department of Biomedical Engineering, University of Southern California, Los Angeles, California; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, California. Electronic address: sfinley@usc.edu.
Biophys J ; 115(6): 1116-1129, 2018 09 18.
Article em En | MEDLINE | ID: mdl-30197180
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Proteínas Recombinantes de Fusão / Receptores de Antígenos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Proteínas Recombinantes de Fusão / Receptores de Antígenos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article