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Simulating CXCR5 Dynamics in Complex Tissue Microenvironments

Cosgrove, Jason, Alden, Kieran, Stein, Jens, Coles, Mark and Timmis, Jonathan (2021) Simulating CXCR5 Dynamics in Complex Tissue Microenvironments. Frontiers in Immunology. ISSN 1664-3224

Item Type: Article

Abstract

To effectively navigate complex tissue microenvironments, immune cells sense molecular concentration gradients using G-protein coupled receptors. However, due to the complexity of receptor activity, and the multimodal nature of chemokine gradients in vivo, chemokine receptor activity in situ is poorly understood. To address this issue, we apply a modelling and simulation approach that permits analysis of the spatiotemporal dynamics of CXCR5 expression within an in silico B-follicle with single-cell resolution. Using this approach, we show that that in silico B-cell scanning is robust to changes in receptor numbers and changes in individual kinetic rates of receptor activity, but sensitive to global perturbations where multiple parameters are altered simultaneously. Through multi-objective optimization analysis we find that the rapid modulation of CXCR5 activity through receptor binding, desensitization and recycling is required for optimal antigen scanning rates. From these analyses we predict that chemokine receptor signaling dynamics regulate migration in complex tissue microenvironments to a greater extent than the total numbers of receptors on the cell surface.

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More Information

Depositing User: Jonathan Timmis

Identifiers

Item ID: 13935
Identification Number: https://doi.org/10.3389/fimmu.2021.703088
ISSN: 1664-3224
URI: http://sure.sunderland.ac.uk/id/eprint/13935
Official URL: https://www.frontiersin.org/articles/10.3389/fimmu...

Users with ORCIDS

ORCID for Jonathan Timmis: ORCID iD orcid.org/0000-0003-1055-0471

Catalogue record

Date Deposited: 09 Sep 2021 13:23
Last Modified: 25 Jan 2022 08:52

Contributors

Author: Jonathan Timmis ORCID iD
Author: Jason Cosgrove
Author: Kieran Alden
Author: Jens Stein
Author: Mark Coles

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Sciences > Biomedical Sciences
Computing > Software Engineering

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