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Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability
In recent decades, chimeric antigen receptors (CARs) have been successfully used to generate engineered T cells capable of recognizing and eliminating cancer cells. The structure of CARs typically includes costimulatory domains, which enhance the T-cell response upon antigen encounter. However, it i...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399690/ https://www.ncbi.nlm.nih.gov/pubmed/36039281 http://dx.doi.org/10.1098/rsos.220137 |
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author | Tserunyan, Vardges Finley, Stacey D. |
author_facet | Tserunyan, Vardges Finley, Stacey D. |
author_sort | Tserunyan, Vardges |
collection | PubMed |
description | In recent decades, chimeric antigen receptors (CARs) have been successfully used to generate engineered T cells capable of recognizing and eliminating cancer cells. The structure of CARs typically includes costimulatory domains, which enhance the T-cell response upon antigen encounter. However, it is not fully known how those co-stimulatory domains influence cell activation in the presence of biological variability. In this work, we used mathematical modelling to elucidate how the inclusion of one such costimulatory molecule, CD28, impacts the response of a population of CAR T cells under different sources of variability. Particularly, we demonstrate that CD28-bearing CARs mediate a faster and more consistent population response under both target antigen variability and kinetic rate variability. Next, we identify kinetic parameters that have the most impact on cell response time. Finally, based on our findings, we propose that enhancing the catalytic activity of lymphocyte-specific protein tyrosine kinase can result in drastically reduced and more consistent response times among heterogeneous CAR T-cell populations. |
format | Online Article Text |
id | pubmed-9399690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-93996902022-08-28 Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability Tserunyan, Vardges Finley, Stacey D. R Soc Open Sci Mathematics In recent decades, chimeric antigen receptors (CARs) have been successfully used to generate engineered T cells capable of recognizing and eliminating cancer cells. The structure of CARs typically includes costimulatory domains, which enhance the T-cell response upon antigen encounter. However, it is not fully known how those co-stimulatory domains influence cell activation in the presence of biological variability. In this work, we used mathematical modelling to elucidate how the inclusion of one such costimulatory molecule, CD28, impacts the response of a population of CAR T cells under different sources of variability. Particularly, we demonstrate that CD28-bearing CARs mediate a faster and more consistent population response under both target antigen variability and kinetic rate variability. Next, we identify kinetic parameters that have the most impact on cell response time. Finally, based on our findings, we propose that enhancing the catalytic activity of lymphocyte-specific protein tyrosine kinase can result in drastically reduced and more consistent response times among heterogeneous CAR T-cell populations. The Royal Society 2022-08-24 /pmc/articles/PMC9399690/ /pubmed/36039281 http://dx.doi.org/10.1098/rsos.220137 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Mathematics Tserunyan, Vardges Finley, Stacey D. Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability |
title | Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability |
title_full | Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability |
title_fullStr | Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability |
title_full_unstemmed | Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability |
title_short | Modelling predicts differences in chimeric antigen receptor T-cell signalling due to biological variability |
title_sort | modelling predicts differences in chimeric antigen receptor t-cell signalling due to biological variability |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399690/ https://www.ncbi.nlm.nih.gov/pubmed/36039281 http://dx.doi.org/10.1098/rsos.220137 |
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