Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell Communications

In the present work, we model single-cell movement as a random walk in an external potential observed within the extreme dumping limit, which we define herein as the extreme nonuniform behavior observed for cell responses and cell-to-cell communications. Starting from the Newton–Langevin equation of...

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Main Authors: Grigorios P. Panotopoulos, Sebastian Aguayo, Ziyad S. Haidar
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2018/9680713
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spelling doaj-d1e1c6e7387d4c8dbf1469ed3d2523692020-11-24T22:02:25ZengHindawi LimitedJournal of Healthcare Engineering2040-22952040-23092018-01-01201810.1155/2018/96807139680713Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell CommunicationsGrigorios P. Panotopoulos0Sebastian Aguayo1Ziyad S. Haidar2BioMAT’X, Facultad de Odontología, Universidad de Los Andes, Santiago, ChileSchool of Dentistry, Pontificia Universidad Católica de Chile, Santiago, ChileBioMAT’X, Facultad de Odontología, Universidad de Los Andes, Santiago, ChileIn the present work, we model single-cell movement as a random walk in an external potential observed within the extreme dumping limit, which we define herein as the extreme nonuniform behavior observed for cell responses and cell-to-cell communications. Starting from the Newton–Langevin equation of motion, we solve the corresponding Fokker–Planck equation to compute higher moments of the displacement of the cell, and then we build certain quantities that can be measurable experimentally. We show that, each time, the dynamics depend on the external force applied, leading to predictions distinct from the standard results of a free Brownian particle. Our findings demonstrate that cell migration viewed as a stochastic process is still compatible with biological and experimental observations without the need to rely on more complicated or sophisticated models proposed previously in the literature.http://dx.doi.org/10.1155/2018/9680713
collection DOAJ
language English
format Article
sources DOAJ
author Grigorios P. Panotopoulos
Sebastian Aguayo
Ziyad S. Haidar
spellingShingle Grigorios P. Panotopoulos
Sebastian Aguayo
Ziyad S. Haidar
Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell Communications
Journal of Healthcare Engineering
author_facet Grigorios P. Panotopoulos
Sebastian Aguayo
Ziyad S. Haidar
author_sort Grigorios P. Panotopoulos
title Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell Communications
title_short Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell Communications
title_full Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell Communications
title_fullStr Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell Communications
title_full_unstemmed Nonmotile Single-Cell Migration as a Random Walk in Nonuniformity: The “Extreme Dumping Limit” for Cell-to-Cell Communications
title_sort nonmotile single-cell migration as a random walk in nonuniformity: the “extreme dumping limit” for cell-to-cell communications
publisher Hindawi Limited
series Journal of Healthcare Engineering
issn 2040-2295
2040-2309
publishDate 2018-01-01
description In the present work, we model single-cell movement as a random walk in an external potential observed within the extreme dumping limit, which we define herein as the extreme nonuniform behavior observed for cell responses and cell-to-cell communications. Starting from the Newton–Langevin equation of motion, we solve the corresponding Fokker–Planck equation to compute higher moments of the displacement of the cell, and then we build certain quantities that can be measurable experimentally. We show that, each time, the dynamics depend on the external force applied, leading to predictions distinct from the standard results of a free Brownian particle. Our findings demonstrate that cell migration viewed as a stochastic process is still compatible with biological and experimental observations without the need to rely on more complicated or sophisticated models proposed previously in the literature.
url http://dx.doi.org/10.1155/2018/9680713
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