Towards multiscale modeling of the CD8+ T cell response to viral infections. (27th February 2019)

• Record Type: Journal Article
• Authors: Baral, Subhasish; Raja, Rubesh; Sen, Pramita; Dixit, Narendra M.
• Is Part Of: Wiley interdisciplinary reviews. Volume 11:Number 4(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-02-27
• Subjects: cell fate -- effector function -- exhaustion -- mathematical models; Systems biology -- Periodicals; Medicine -- Periodicals; 610
• DOI: 10.1002/wsbm.1446
• Languages: English
• ISSNs: 1939-5094

Abstract

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. This article is categorized under: Analytical and Computational Methods > Computational Methods Biological Mechanisms > Cell Fates Biological Mechanisms > Cell Signaling Models of Systems Properties and Processes > Mechanistic Models Abstract : Multiscale modeling of CD8 + T cell signaling, differentiation, and effector responses facilitate a quantitative understanding of viral infections and treatments.