Cargando…

Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks

Naive T lymphocytes exhibit extensive antigen-independent recirculation between blood and lymph nodes, where they may encounter dendritic cells carrying cognate antigen. We examine how long different T cells may spend in an individual lymph node by examining data from long term cannulation of blood...

Descripción completa

Detalles Bibliográficos
Autores principales: Thomas, Niclas, Matejovicova, Lenka, Srikusalanukul, Wichat, Shawe-Taylor, John, Chain, Benny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447944/
https://www.ncbi.nlm.nih.gov/pubmed/23028891
http://dx.doi.org/10.1371/journal.pone.0045262
_version_ 1782244201157623808
author Thomas, Niclas
Matejovicova, Lenka
Srikusalanukul, Wichat
Shawe-Taylor, John
Chain, Benny
author_facet Thomas, Niclas
Matejovicova, Lenka
Srikusalanukul, Wichat
Shawe-Taylor, John
Chain, Benny
author_sort Thomas, Niclas
collection PubMed
description Naive T lymphocytes exhibit extensive antigen-independent recirculation between blood and lymph nodes, where they may encounter dendritic cells carrying cognate antigen. We examine how long different T cells may spend in an individual lymph node by examining data from long term cannulation of blood and efferent lymphatics of a single lymph node in the sheep. We determine empirically the distribution of transit times of migrating T cells by applying the Least Absolute Shrinkage & Selection Operator ([Image: see text]) or regularised [Image: see text] to fit experimental data describing the proportion of labelled infused cells in blood and efferent lymphatics over time. The optimal inferred solution reveals a distribution with high variance and strong skew. The mode transit time is typically between 10 and 20 hours, but a significant number of cells spend more than 70 hours before exiting. We complement the empirical machine learning based approach by modelling lymphocyte passage through the lymph node [Image: see text]. On the basis of previous two photon analysis of lymphocyte movement, we optimised distributions which describe the transit times (first passage times) of discrete one dimensional and continuous (Brownian) three dimensional random walks with drift. The optimal fit is obtained when drift is small, i.e. the ratio of probabilities of migrating forward and backward within the node is close to one. These distributions are qualitatively similar to the inferred empirical distribution, with high variance and strong skew. In contrast, an optimised normal distribution of transit times (symmetrical around mean) fitted the data poorly. The results demonstrate that the rapid recirculation of lymphocytes observed at a macro level is compatible with predominantly randomised movement within lymph nodes, and significant probabilities of long transit times. We discuss how this pattern of migration may contribute to facilitating interactions between low frequency T cells and antigen presenting cells carrying cognate antigen.
format Online
Article
Text
id pubmed-3447944
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-34479442012-10-01 Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks Thomas, Niclas Matejovicova, Lenka Srikusalanukul, Wichat Shawe-Taylor, John Chain, Benny PLoS One Research Article Naive T lymphocytes exhibit extensive antigen-independent recirculation between blood and lymph nodes, where they may encounter dendritic cells carrying cognate antigen. We examine how long different T cells may spend in an individual lymph node by examining data from long term cannulation of blood and efferent lymphatics of a single lymph node in the sheep. We determine empirically the distribution of transit times of migrating T cells by applying the Least Absolute Shrinkage & Selection Operator ([Image: see text]) or regularised [Image: see text] to fit experimental data describing the proportion of labelled infused cells in blood and efferent lymphatics over time. The optimal inferred solution reveals a distribution with high variance and strong skew. The mode transit time is typically between 10 and 20 hours, but a significant number of cells spend more than 70 hours before exiting. We complement the empirical machine learning based approach by modelling lymphocyte passage through the lymph node [Image: see text]. On the basis of previous two photon analysis of lymphocyte movement, we optimised distributions which describe the transit times (first passage times) of discrete one dimensional and continuous (Brownian) three dimensional random walks with drift. The optimal fit is obtained when drift is small, i.e. the ratio of probabilities of migrating forward and backward within the node is close to one. These distributions are qualitatively similar to the inferred empirical distribution, with high variance and strong skew. In contrast, an optimised normal distribution of transit times (symmetrical around mean) fitted the data poorly. The results demonstrate that the rapid recirculation of lymphocytes observed at a macro level is compatible with predominantly randomised movement within lymph nodes, and significant probabilities of long transit times. We discuss how this pattern of migration may contribute to facilitating interactions between low frequency T cells and antigen presenting cells carrying cognate antigen. Public Library of Science 2012-09-20 /pmc/articles/PMC3447944/ /pubmed/23028891 http://dx.doi.org/10.1371/journal.pone.0045262 Text en © 2012 Thomas 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Thomas, Niclas
Matejovicova, Lenka
Srikusalanukul, Wichat
Shawe-Taylor, John
Chain, Benny
Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks
title Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks
title_full Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks
title_fullStr Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks
title_full_unstemmed Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks
title_short Directional Migration of Recirculating Lymphocytes through Lymph Nodes via Random Walks
title_sort directional migration of recirculating lymphocytes through lymph nodes via random walks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447944/
https://www.ncbi.nlm.nih.gov/pubmed/23028891
http://dx.doi.org/10.1371/journal.pone.0045262
work_keys_str_mv AT thomasniclas directionalmigrationofrecirculatinglymphocytesthroughlymphnodesviarandomwalks
AT matejovicovalenka directionalmigrationofrecirculatinglymphocytesthroughlymphnodesviarandomwalks
AT srikusalanukulwichat directionalmigrationofrecirculatinglymphocytesthroughlymphnodesviarandomwalks
AT shawetaylorjohn directionalmigrationofrecirculatinglymphocytesthroughlymphnodesviarandomwalks
AT chainbenny directionalmigrationofrecirculatinglymphocytesthroughlymphnodesviarandomwalks