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Towards multiscale modeling of the CD8(+) T cell response to viral infections

Baral, Subhasish and Raja, Rubesh and Sen, Pramita and Dixit, Narendra M (2019) Towards multiscale modeling of the CD8(+) T cell response to viral infections. In: WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE, 11 (4).

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Official URL: https://doi.org/10.1002/wsbm.1446

Abstract

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.

Item Type: Journal Article
Publication: WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE
Publisher: WILEY
Keywords: cell fate; effector function; exhaustion; mathematical models
Department/Centre: Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering
Division of Mechanical Sciences > Chemical Engineering
Date Deposited: 13 Sep 2019 10:15
Last Modified: 27 Sep 2019 05:16
URI: http://eprints.iisc.ac.in/id/eprint/63178

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