Cargando…

On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing

In chemotaxis, cells are modulating their migration patterns in response to concentration gradients of a guiding substance. Immune cells are believed to use such chemotactic sensing for remotely detecting and homing in on pathogens. Considering that immune cells may encounter a multitude of targets...

Descripción completa

Detalles Bibliográficos
Autor principal: Metzner, Claus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773759/
https://www.ncbi.nlm.nih.gov/pubmed/31575917
http://dx.doi.org/10.1038/s41598-019-50514-4
_version_ 1783455946611097600
author Metzner, Claus
author_facet Metzner, Claus
author_sort Metzner, Claus
collection PubMed
description In chemotaxis, cells are modulating their migration patterns in response to concentration gradients of a guiding substance. Immune cells are believed to use such chemotactic sensing for remotely detecting and homing in on pathogens. Considering that immune cells may encounter a multitude of targets with vastly different migration properties, ranging from immobile to highly mobile, it is not clear which strategies of chemotactic pursuit are simultaneously efficient and versatile. We tackle this problem theoretically and define a tunable response function that maps temporal or spatial concentration gradients to migration behavior. The seven free parameters of this response function are optimized numerically with the objective of maximizing search efficiency against a wide spectrum of target cell properties. Finally, we reverse-engineer the best-performing parameter sets to uncover strategies of chemotactic pursuit that are efficient under different biologically realistic boundary conditions. Although strategies based on the temporal or spatial sensing of chemotactic gradients are significantly more efficient than unguided migration, such ‘blind search’ turns out to work surprisingly well, in particular if the immune cells are fast and directionally persistent. The resulting simulated data can be used for the design of chemotaxis experiments and for the development of algorithms that automatically detect and quantify goal oriented behavior in measured immune cell trajectories.
format Online
Article
Text
id pubmed-6773759
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-67737592019-10-04 On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing Metzner, Claus Sci Rep Article In chemotaxis, cells are modulating their migration patterns in response to concentration gradients of a guiding substance. Immune cells are believed to use such chemotactic sensing for remotely detecting and homing in on pathogens. Considering that immune cells may encounter a multitude of targets with vastly different migration properties, ranging from immobile to highly mobile, it is not clear which strategies of chemotactic pursuit are simultaneously efficient and versatile. We tackle this problem theoretically and define a tunable response function that maps temporal or spatial concentration gradients to migration behavior. The seven free parameters of this response function are optimized numerically with the objective of maximizing search efficiency against a wide spectrum of target cell properties. Finally, we reverse-engineer the best-performing parameter sets to uncover strategies of chemotactic pursuit that are efficient under different biologically realistic boundary conditions. Although strategies based on the temporal or spatial sensing of chemotactic gradients are significantly more efficient than unguided migration, such ‘blind search’ turns out to work surprisingly well, in particular if the immune cells are fast and directionally persistent. The resulting simulated data can be used for the design of chemotaxis experiments and for the development of algorithms that automatically detect and quantify goal oriented behavior in measured immune cell trajectories. Nature Publishing Group UK 2019-10-01 /pmc/articles/PMC6773759/ /pubmed/31575917 http://dx.doi.org/10.1038/s41598-019-50514-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Metzner, Claus
On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing
title On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing
title_full On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing
title_fullStr On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing
title_full_unstemmed On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing
title_short On the efficiency of chemotactic pursuit - Comparing blind search with temporal and spatial gradient sensing
title_sort on the efficiency of chemotactic pursuit - comparing blind search with temporal and spatial gradient sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773759/
https://www.ncbi.nlm.nih.gov/pubmed/31575917
http://dx.doi.org/10.1038/s41598-019-50514-4
work_keys_str_mv AT metznerclaus ontheefficiencyofchemotacticpursuitcomparingblindsearchwithtemporalandspatialgradientsensing