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Towards multiscale modeling of the CD8(+) T cell response to viral infections
The CD8(+) T cell response is critical to the control of viral infections. Yet, defining the CD8(+) T cell response to viral infections quantitatively has been a challenge. Following antigen recognition, which triggers an intracellular signaling cascade, CD8(+) T cells can differentiate into effecto...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614031/ https://www.ncbi.nlm.nih.gov/pubmed/30811096 http://dx.doi.org/10.1002/wsbm.1446 |
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author | Baral, Subhasish Raja, Rubesh Sen, Pramita Dixit, Narendra M. |
author_facet | Baral, Subhasish Raja, Rubesh Sen, Pramita Dixit, Narendra M. |
author_sort | Baral, Subhasish |
collection | PubMed |
description | The CD8(+) T cell response is critical to the control of viral infections. Yet, defining the CD8(+) T cell response to viral infections quantitatively has been a challenge. Following antigen recognition, which triggers an intracellular signaling cascade, CD8(+) T cells can differentiate into effector cells, which proliferate rapidly and destroy infected cells. When the infection is cleared, they leave behind memory cells for quick recall following a second challenge. If the infection persists, the cells may become exhausted, retaining minimal control of the infection while preventing severe immunopathology. These activation, proliferation and differentiation processes as well as the mounting of the effector response are intrinsically multiscale and collective phenomena. Remarkable experimental advances in the recent years, especially at the single cell level, have enabled a quantitative characterization of several underlying processes. Simultaneously, sophisticated mathematical models have begun to be constructed that describe these multiscale phenomena, bringing us closer to a comprehensive description of the CD8(+) T cell response to viral infections. Here, we review the advances made and summarize the challenges and opportunities ahead. Analytical and Computational Methods > Computational Methods. Biological Mechanisms > Cell Fates. Biological Mechanisms > Cell Signaling. Models of Systems Properties and Processes > Mechanistic Models; |
format | Online Article Text |
id | pubmed-6614031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66140312019-07-22 Towards multiscale modeling of the CD8(+) T cell response to viral infections Baral, Subhasish Raja, Rubesh Sen, Pramita Dixit, Narendra M. Wiley Interdiscip Rev Syst Biol Med Advanced Review The CD8(+) T cell response is critical to the control of viral infections. Yet, defining the CD8(+) T cell response to viral infections quantitatively has been a challenge. Following antigen recognition, which triggers an intracellular signaling cascade, CD8(+) T cells can differentiate into effector cells, which proliferate rapidly and destroy infected cells. When the infection is cleared, they leave behind memory cells for quick recall following a second challenge. If the infection persists, the cells may become exhausted, retaining minimal control of the infection while preventing severe immunopathology. These activation, proliferation and differentiation processes as well as the mounting of the effector response are intrinsically multiscale and collective phenomena. Remarkable experimental advances in the recent years, especially at the single cell level, have enabled a quantitative characterization of several underlying processes. Simultaneously, sophisticated mathematical models have begun to be constructed that describe these multiscale phenomena, bringing us closer to a comprehensive description of the CD8(+) T cell response to viral infections. Here, we review the advances made and summarize the challenges and opportunities ahead. Analytical and Computational Methods > Computational Methods. Biological Mechanisms > Cell Fates. Biological Mechanisms > Cell Signaling. Models of Systems Properties and Processes > Mechanistic Models; John Wiley & Sons, Inc. 2019-02-27 2019 /pmc/articles/PMC6614031/ /pubmed/30811096 http://dx.doi.org/10.1002/wsbm.1446 Text en © 2019 The Authors. WIREs Systems Biology and Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Advanced Review Baral, Subhasish Raja, Rubesh Sen, Pramita Dixit, Narendra M. Towards multiscale modeling of the CD8(+) T cell response to viral infections |
title | Towards multiscale modeling of the CD8(+) T cell response to viral infections |
title_full | Towards multiscale modeling of the CD8(+) T cell response to viral infections |
title_fullStr | Towards multiscale modeling of the CD8(+) T cell response to viral infections |
title_full_unstemmed | Towards multiscale modeling of the CD8(+) T cell response to viral infections |
title_short | Towards multiscale modeling of the CD8(+) T cell response to viral infections |
title_sort | towards multiscale modeling of the cd8(+) t cell response to viral infections |
topic | Advanced Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614031/ https://www.ncbi.nlm.nih.gov/pubmed/30811096 http://dx.doi.org/10.1002/wsbm.1446 |
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