A Mathematical Modelling Study of Chemotactic Dynamics in Cell Cultures: The Impact of Spatio-temporal Heterogeneity.

Cell culture Glioblastoma cell progression Heterogeneous stimuli Method of characteristics Microfluidics Perturbation theory

Journal

Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404

Informations de publication

Date de publication:
08 09 2023
Historique:
received: 19 12 2022
accepted: 04 08 2023
medline: 11 9 2023
pubmed: 9 9 2023
entrez: 8 9 2023
Statut: epublish

Résumé

As motivated by studies of cellular motility driven by spatiotemporal chemotactic gradients in microdevices, we develop a framework for constructing approximate analytical solutions for the location, speed and cellular densities for cell chemotaxis waves in heterogeneous fields of chemoattractant from the underlying partial differential equation models. In particular, such chemotactic waves are not in general translationally invariant travelling waves, but possess a spatial variation that evolves in time, and may even oscillate back and forth in time, according to the details of the chemotactic gradients. The analytical framework exploits the observation that unbiased cellular diffusive flux is typically small compared to chemotactic fluxes and is first developed and validated for a range of exemplar scenarios. The framework is subsequently applied to more complex models considering the chemoattractant dynamics under more general settings, potentially including those of relevance for representing pathophysiology scenarios in microdevice studies. In particular, even though solutions cannot be constructed in all cases, a wide variety of scenarios can be considered analytically, firstly providing global insight into the important mechanisms and features of cell motility in complex spatiotemporal fields of chemoattractant. Such analytical solutions also provide a means of rapid evaluation of model predictions, with the prospect of application in computationally demanding investigations relating theoretical models and experimental observation, such as Bayesian parameter estimation.

Identifiants

pubmed: 37684435
doi: 10.1007/s11538-023-01194-9
pii: 10.1007/s11538-023-01194-9
pmc: PMC10491576
doi:

Substances chimiques

Chemotactic Factors 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

98

Informations de copyright

© 2023. The Author(s).

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Auteurs

Jacobo Ayensa-Jiménez (J)

Aragon Institute of Engineering Research, University of Zaragoza, Mariano Esquillor, s.n., 50018, Zaragoza, Spain.
Tissue Microenvironment Laboratory (TME Lab), Institute for Health Research Aragón, San Juan Bosco, 13, 50009, Zaragoza, Spain.

Mohamed H Doweidar (MH)

Aragon Institute of Engineering Research, University of Zaragoza, Mariano Esquillor, s.n., 50018, Zaragoza, Spain.
Mechanical Engineering Department, School of Engineering and Architecture (EINA), University of Zaragoza, María de Luna s.n., 50018, Zaragoza, Spain.

Manuel Doblaré (M)

Aragon Institute of Engineering Research, University of Zaragoza, Mariano Esquillor, s.n., 50018, Zaragoza, Spain.
Mechanical Engineering Department, School of Engineering and Architecture (EINA), University of Zaragoza, María de Luna s.n., 50018, Zaragoza, Spain.
Tissue Microenvironment Laboratory (TME Lab), Institute for Health Research Aragón, San Juan Bosco, 13, 50009, Zaragoza, Spain.
Nanjing Tech University, 30 South Puzhu Road, 211816, Nanjing, China.

Eamonn A Gaffney (EA)

Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK. gaffney@maths.ox.ac.uk.

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