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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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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 |
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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 |
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