Evidence map›Paper›PMID 24204669›Full record

ArticlePloS one2013

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

Nicola Gritti, Michele Caccia, Laura Sironi, Maddalena Collini, Laura D'Alfonso, Francesca Granucci, Ivan Zanoni, Giuseppe Chirico

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Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nicola GrittiDipartimento di Fisica, Università degli studi di Milano-Bicocca, Milano, Italy.
Michele Caccia
Laura Sironi
Maddalena Collini
Laura D'Alfonso
Francesca Granucci
Ivan Zanoni
Giuseppe Chirico

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Models, ImmunologicalAntigens, CDAntigens, SurfaceCell CommunicationCell DifferentiationCells, CulturedCytotoxicity, ImmunologicDendritic CellsFlow CytometryHumansInterferon-alphaInterferon-gammaInterleukin-12Interleukin-12 Subunit p40Killer Cells, NaturalLeukocytesAntigens, CDAntigens, SurfaceInterferon-alphaInterferon-gammaInterleukin-12Interleukin-12 Subunit p40Lipopolysaccharides

Identifiers

PMID24204669
PMCPMC3810259

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.