Modeling leukocyte-leukocyte non-contact interactions in a lymph node.

The interaction among leukocytes is at the basis of the innate and adaptive immune-response and it is largely ascribed to direct cell-cell contacts. However, the exchange of a number of chemical stimuli (chemokines) allows also non-contact interaction during the immunological response. We want here...

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Main Authors: Nicola Gritti, Michele Caccia, Laura Sironi, Maddalena Collini, Laura D'Alfonso, Francesca Granucci, Ivan Zanoni, Giuseppe Chirico
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24204669/pdf/?tool=EBI
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author Nicola Gritti
Michele Caccia
Laura Sironi
Maddalena Collini
Laura D'Alfonso
Francesca Granucci
Ivan Zanoni
Giuseppe Chirico
author_facet Nicola Gritti
Michele Caccia
Laura Sironi
Maddalena Collini
Laura D'Alfonso
Francesca Granucci
Ivan Zanoni
Giuseppe Chirico
author_sort Nicola Gritti
collection DOAJ
description The interaction among leukocytes is at the basis of the innate and adaptive immune-response and it is largely ascribed to direct cell-cell contacts. However, the exchange of a number of chemical stimuli (chemokines) allows also non-contact interaction during the immunological response. We want here to evaluate the extent of the effect of the non-contact interactions on the observed leukocyte-leukocyte kinematics and their interaction duration. To this aim we adopt a simplified mean field description inspired by the Keller-Segel chemotaxis model, of which we report an analytical solution suited for slowly varying sources of chemokines. Since our focus is on the non-contact interactions, leukocyte-leukocyte contact interactions are simulated only by means of a space dependent friction coefficient of the cells. The analytical solution of the Keller-Segel model is then taken as the basis of numerical simulations of interactions between leukocytes and their duration. The mean field interaction force that we derive has a time-space separable form and depends on the chemotaxis sensitivity parameter as well as on the chemokines diffusion coefficient and their degradation rate. All these parameters affect the distribution of the interaction durations. We draw a successful qualitative comparison between simulated data and sets of experimental data for DC-NK cells interaction duration and other kinematic parameters. Remarkably, the predicted percentage of the leukocyte-leukocyte interactions falls in the experimental range and depends (~25% increase) upon the chemotactic parameter indicating a non-negligible direct effect of the non-contact interaction on the leukocyte interactions.
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spelling doaj.art-558a87c3f5a94e408c74ffd9068a73062022-12-21T22:43:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01810e7675610.1371/journal.pone.0076756Modeling leukocyte-leukocyte non-contact interactions in a lymph node.Nicola GrittiMichele CacciaLaura SironiMaddalena ColliniLaura D'AlfonsoFrancesca GranucciIvan ZanoniGiuseppe ChiricoThe interaction among leukocytes is at the basis of the innate and adaptive immune-response and it is largely ascribed to direct cell-cell contacts. However, the exchange of a number of chemical stimuli (chemokines) allows also non-contact interaction during the immunological response. We want here to evaluate the extent of the effect of the non-contact interactions on the observed leukocyte-leukocyte kinematics and their interaction duration. To this aim we adopt a simplified mean field description inspired by the Keller-Segel chemotaxis model, of which we report an analytical solution suited for slowly varying sources of chemokines. Since our focus is on the non-contact interactions, leukocyte-leukocyte contact interactions are simulated only by means of a space dependent friction coefficient of the cells. The analytical solution of the Keller-Segel model is then taken as the basis of numerical simulations of interactions between leukocytes and their duration. The mean field interaction force that we derive has a time-space separable form and depends on the chemotaxis sensitivity parameter as well as on the chemokines diffusion coefficient and their degradation rate. All these parameters affect the distribution of the interaction durations. We draw a successful qualitative comparison between simulated data and sets of experimental data for DC-NK cells interaction duration and other kinematic parameters. Remarkably, the predicted percentage of the leukocyte-leukocyte interactions falls in the experimental range and depends (~25% increase) upon the chemotactic parameter indicating a non-negligible direct effect of the non-contact interaction on the leukocyte interactions.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24204669/pdf/?tool=EBI
spellingShingle Nicola Gritti
Michele Caccia
Laura Sironi
Maddalena Collini
Laura D'Alfonso
Francesca Granucci
Ivan Zanoni
Giuseppe Chirico
Modeling leukocyte-leukocyte non-contact interactions in a lymph node.
PLoS ONE
title Modeling leukocyte-leukocyte non-contact interactions in a lymph node.
title_full Modeling leukocyte-leukocyte non-contact interactions in a lymph node.
title_fullStr Modeling leukocyte-leukocyte non-contact interactions in a lymph node.
title_full_unstemmed Modeling leukocyte-leukocyte non-contact interactions in a lymph node.
title_short Modeling leukocyte-leukocyte non-contact interactions in a lymph node.
title_sort modeling leukocyte leukocyte non contact interactions in a lymph node
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24204669/pdf/?tool=EBI
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