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      ERK Activation in CAR T Cells Is Amplified by CD28-Mediated Increase in CD3ζ Phosphorylation

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          Summary

          Chimeric antigen receptors (CARs) are engineered receptors that mediate T cell activation. CARs are comprised of activating and co-stimulatory intracellular signaling domains derived from endogenous T cells that initiate signaling required for T cell activation, including ERK activation through the MAPK pathway. Understanding the mechanisms by which co-stimulatory domains influence signaling can help guide the design of next-generation CARs. Therefore, we constructed an experimentally validated computational model of anti-CD19 CARs in T cells bearing the CD3ζ domain alone or in combination with CD28. We performed a systematic analysis to explore the different mechanisms of CD28 co-stimulation on the ERK response time. Comparing these model simulations with experimental data indicates that CD28 primarily influences ERK activation by enhancing the phosphorylation kinetics of CD3ζ. Overall, we present a mechanistic mathematical modeling framework that can be used to gain insights into the mechanism of CAR T cell activation and produce new testable hypotheses.

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          Highlights

          • We construct a mathematical model to explore CAR-mediated MAPK signaling

          • Model predicts how intracellular CAR domains affect ERK response time

          • CD28 influences ERK activation by enhancing the phosphorylation kinetics of CD3ζ

          • Removing ITAMs from CD3ζ speeds up ERK response and reduces negative feedback

          Abstract

          Immunology; Immunology Theories; Computational Bioinformatics

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          Most cited references32

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          A methodology for performing global uncertainty and sensitivity analysis in systems biology.

          Accuracy of results from mathematical and computer models of biological systems is often complicated by the presence of uncertainties in experimental data that are used to estimate parameter values. Current mathematical modeling approaches typically use either single-parameter or local sensitivity analyses. However, these methods do not accurately assess uncertainty and sensitivity in the system as, by default, they hold all other parameters fixed at baseline values. Using techniques described within we demonstrate how a multi-dimensional parameter space can be studied globally so all uncertainties can be identified. Further, uncertainty and sensitivity analysis techniques can help to identify and ultimately control uncertainties. In this work we develop methods for applying existing analytical tools to perform analyses on a variety of mathematical and computer models. We compare two specific types of global sensitivity analysis indexes that have proven to be among the most robust and efficient. Through familiar and new examples of mathematical and computer models, we provide a complete methodology for performing these analyses, in both deterministic and stochastic settings, and propose novel techniques to handle problems encountered during these types of analyses.
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            Calibration of CAR activation potential directs alternative T cell fates and therapeutic potency

            Chimeric antigen receptors (CARs) are synthetic receptors that target and reprogram T cells to acquire augmented antitumor properties1. CD19-specific CARs that comprise CD28 and CD3ζ signaling motifs2 have induced remarkable responses in patients with refractory leukemia3-5 and lymphoma6 and were recently approved by the US Food and Drug Administration7. These CARs program highly performing effector functions that mediate potent tumor elimination4,8 despite the limited persistence they confer on T cells3-6,8. Extending their functional persistence without compromising their potency should improve current CAR therapies. Strong T cell activation drives exhaustion9,10, which may be accentuated by the redundancy of CD28 and CD3ζ signaling11,12 as well as the spatiotemporal constraints imparted by the structure of second-generation CARs2. Thus, we hypothesized that calibrating the activation potential of CD28-based CARs would differentially reprogram T cell function and differentiation. Here, we show that CARs encoding a single immunoreceptor tyrosine-based activation motif direct T cells to different fates by balancing effector and memory programs, thereby yielding CAR designs with enhanced therapeutic profiles.
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              CD28-mediated co-stimulation: a quantitative support for TCR signalling.

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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                30 March 2020
                24 April 2020
                30 March 2020
                : 23
                : 4
                : 101023
                Affiliations
                [1 ]Vir Biotechnology, Inc., San Francisco, CA 94158, USA
                [2 ]Department of Hematology, Mayo Clinic, Rochester, MN 55902,USA
                [3 ]Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, USA
                [4 ]Department of Pharmacology and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA 90089, USA
                [5 ]Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
                [6 ]Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
                Author notes
                []Corresponding author sfinley@ 123456usc.edu
                [7]

                Lead Contact

                Article
                S2589-0042(20)30207-8 101023
                10.1016/j.isci.2020.101023
                7178546
                32325413
                b27925da-5126-416d-a84f-bd2b6c0bd851
                © 2020 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 26 August 2019
                : 24 January 2020
                : 25 March 2020
                Categories
                Article

                immunology,immunology theories,computational bioinformatics

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