Simulating CXCR5 Dynamics in Complex Tissue Microenvironments
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 poo...
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| Vydáno v: | Frontiers in immunology Ročník 12; s. 703088 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Switzerland
Frontiers
07.09.2021
Frontiers Media S.A |
| Témata: | |
| ISSN: | 1664-3224, 1664-3224 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Systems Immunology, a section of the journal Frontiers in Immunology Edited by: Peter Sims, Columbia University, United States Reviewed by: Jamie Berta Spangler, Johns Hopkins University, United States; Irina Kufareva, University of California, San Diego, United States |
| ISSN: | 1664-3224 1664-3224 |
| DOI: | 10.3389/fimmu.2021.703088 |