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A simulation of the random and directed motion of dendritic cells in chemokine fields

Dendritic cells (DCs) are the most effective professional antigen-presenting cell. They ferry antigen from the extremities to T cells and are essential for the initiation of an adaptive immune response. Despite interest in how DCs respond to chemical stimuli, there have been few attempts to model DC...

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Autores principales: Parr, Avery, Anderson, Nicholas R., Hammer, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797211/
https://www.ncbi.nlm.nih.gov/pubmed/31589599
http://dx.doi.org/10.1371/journal.pcbi.1007295
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author Parr, Avery
Anderson, Nicholas R.
Hammer, Daniel A.
author_facet Parr, Avery
Anderson, Nicholas R.
Hammer, Daniel A.
author_sort Parr, Avery
collection PubMed
description Dendritic cells (DCs) are the most effective professional antigen-presenting cell. They ferry antigen from the extremities to T cells and are essential for the initiation of an adaptive immune response. Despite interest in how DCs respond to chemical stimuli, there have been few attempts to model DC migration. In this paper, we simulate the motility of DCs by modeling the generation of forces by filopodia and a force balance on the cell. The direction of fliopodial extension is coupled to differential occupancy of cognate chemokine receptors across the cell. Our model simulates chemokinesis and chemotaxis in a variety of chemical and mechanical environments. Simulated DCs undergoing chemokinesis were measured to have a speed of 5.1 ± 0.07 μm·min(-1) and a persistence time of 3.2 ± 0.46 min, consistent with experiment. Cells undergoing chemotaxis exhibited a stronger chemotactic response when exposed to lower average chemokine concentrations, also consistent with experiment. We predicted that when placed in two opposing gradients, cells will cluster in a line, which we call the “line of equistimulation;” this clustering has also been observed. We calculated the effect of varying gradient steepness on the line of equistimulation, with steeper gradients resulting in tighter clustering. Moreover, gradients are found to be most potent when cells are in a gradient of chemokine whose mean concentration is close to the binding of the K(d) to the receptor, and least potent when the mean concentration is 0.1K(d). Comparing our simulations to experiment, we can give a quantitative measure of the strength of certain chemokines relative to others. Assigning the signal of CCL19 binding CCR7 a baseline strength of 1, we found CCL21 binding CCR7 had a strength of 0.28, and CXCL12 binding CXCR4 had a strength of 0.30. These differences emerge despite both chemokines having virtually the same K(d), suggesting a mechanism of signal amplification in DCs requiring further study.
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spelling pubmed-67972112019-10-25 A simulation of the random and directed motion of dendritic cells in chemokine fields Parr, Avery Anderson, Nicholas R. Hammer, Daniel A. PLoS Comput Biol Research Article Dendritic cells (DCs) are the most effective professional antigen-presenting cell. They ferry antigen from the extremities to T cells and are essential for the initiation of an adaptive immune response. Despite interest in how DCs respond to chemical stimuli, there have been few attempts to model DC migration. In this paper, we simulate the motility of DCs by modeling the generation of forces by filopodia and a force balance on the cell. The direction of fliopodial extension is coupled to differential occupancy of cognate chemokine receptors across the cell. Our model simulates chemokinesis and chemotaxis in a variety of chemical and mechanical environments. Simulated DCs undergoing chemokinesis were measured to have a speed of 5.1 ± 0.07 μm·min(-1) and a persistence time of 3.2 ± 0.46 min, consistent with experiment. Cells undergoing chemotaxis exhibited a stronger chemotactic response when exposed to lower average chemokine concentrations, also consistent with experiment. We predicted that when placed in two opposing gradients, cells will cluster in a line, which we call the “line of equistimulation;” this clustering has also been observed. We calculated the effect of varying gradient steepness on the line of equistimulation, with steeper gradients resulting in tighter clustering. Moreover, gradients are found to be most potent when cells are in a gradient of chemokine whose mean concentration is close to the binding of the K(d) to the receptor, and least potent when the mean concentration is 0.1K(d). Comparing our simulations to experiment, we can give a quantitative measure of the strength of certain chemokines relative to others. Assigning the signal of CCL19 binding CCR7 a baseline strength of 1, we found CCL21 binding CCR7 had a strength of 0.28, and CXCL12 binding CXCR4 had a strength of 0.30. These differences emerge despite both chemokines having virtually the same K(d), suggesting a mechanism of signal amplification in DCs requiring further study. Public Library of Science 2019-10-07 /pmc/articles/PMC6797211/ /pubmed/31589599 http://dx.doi.org/10.1371/journal.pcbi.1007295 Text en © 2019 Parr et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Parr, Avery
Anderson, Nicholas R.
Hammer, Daniel A.
A simulation of the random and directed motion of dendritic cells in chemokine fields
title A simulation of the random and directed motion of dendritic cells in chemokine fields
title_full A simulation of the random and directed motion of dendritic cells in chemokine fields
title_fullStr A simulation of the random and directed motion of dendritic cells in chemokine fields
title_full_unstemmed A simulation of the random and directed motion of dendritic cells in chemokine fields
title_short A simulation of the random and directed motion of dendritic cells in chemokine fields
title_sort simulation of the random and directed motion of dendritic cells in chemokine fields
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797211/
https://www.ncbi.nlm.nih.gov/pubmed/31589599
http://dx.doi.org/10.1371/journal.pcbi.1007295
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