Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Baral, Subhasish, Raja, Rubesh, Sen, Pramita, Dixit, Narendra M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
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
_version_ 1783433108333264896
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
work_keys_str_mv AT baralsubhasish towardsmultiscalemodelingofthecd8tcellresponsetoviralinfections
AT rajarubesh towardsmultiscalemodelingofthecd8tcellresponsetoviralinfections
AT senpramita towardsmultiscalemodelingofthecd8tcellresponsetoviralinfections
AT dixitnarendram towardsmultiscalemodelingofthecd8tcellresponsetoviralinfections