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  Inference of random walk models to describe leukocyte migration.

Jones, P. J. M., Sim, A., Taylor, H. B., Bugeon, L., Dallman, M. J., Pereira, B., et al. (2015). Inference of random walk models to describe leukocyte migration. Physical Biology, 12(6): 066001. doi:10.1088/1478-3975/12/6/066001.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-FE4B-9 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-FE4F-1
Genre: Journal Article

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 Creators:
Jones, P. J. M., Author
Sim, A., Author
Taylor, H. B., Author
Bugeon, L., Author
Dallman, M. J., Author
Pereira, B., Author
Stumpf, M. P. H., Author
Liepe, J.1, Author              
Affiliations:
1Research Group of Quantitative and System Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_2466694              

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 Abstract: While the majority of cells in an organism are static and remain relatively immobile in their tissue, migrating cells occur commonly during developmental processes and are crucial for a functioning immune response. The mode of migration has been described in terms of various types of random walks. To understand the details of the migratory behaviour we rely on mathematical models and their calibration to experimental data. Here we propose an approximate Bayesian inference scheme to calibrate a class of random walk models characterized by a specific, parametric particle re-orientation mechanism to observed trajectory data. We elaborate the concept of transition matrices (TMs) to detect random walk patterns and determine a statistic to quantify these TM to make them applicable for inference schemes. We apply the developed pipeline to in vivo trajectory data of macrophages and neutrophils, extracted from zebrafish that had undergone tail transection. We find that macrophage and neutrophils exhibit very distinct biased persistent random walk patterns, where the strengths of the persistence and bias are spatio-temporally regulated. Furthermore, the movement of macrophages is far less persistent than that of neutrophils in response to wounding.

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Language(s): eng - English
 Dates: 2015-09-25
 Publication Status: Published online
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 Rev. Method: Peer
 Identifiers: DOI: 10.1088/1478-3975/12/6/066001
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Title: Physical Biology
Source Genre: Journal
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Pages: 12 Volume / Issue: 12 (6) Sequence Number: 066001 Start / End Page: - Identifier: -