Cellular diffusion processes in singularly perturbed domains
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Published version
Author(s)
Bressloff, Paul C
Type
Journal Article
Abstract
There are many processes in cell biology that can be modeled in terms of particles dif fusing in a two-dimensional (2D) or three-dimensional (3D) bounded domain Ω ⊂ Rd
containing a set of small subdomains or interior compartments Uj , j = 1,..., N
(singularly-perturbed diffusion problems). The domain Ω could represent the cell
membrane, the cell cytoplasm, the cell nucleus or the extracellular volume, while
an individual compartment could represent a synapse, a membrane protein cluster,
a biological condensate, or a quorum sensing bacterial cell. In this review we use a
combination of matched asymptotic analysis and Green’s function methods to solve
a general type of singular boundary value problems (BVP) in 2D and 3D, in which
an inhomogeneous Robin condition is imposed on each interior boundary ∂Uj . This
allows us to incorporate a variety of previous studies of singularly perturbed diffu sion problems into a single mathematical modeling framework. We mainly focus on
steady-state solutions and the approach to steady-state, but also highlight some of the
current challenges in dealing with time-dependent solutions and randomly switching
processes.
containing a set of small subdomains or interior compartments Uj , j = 1,..., N
(singularly-perturbed diffusion problems). The domain Ω could represent the cell
membrane, the cell cytoplasm, the cell nucleus or the extracellular volume, while
an individual compartment could represent a synapse, a membrane protein cluster,
a biological condensate, or a quorum sensing bacterial cell. In this review we use a
combination of matched asymptotic analysis and Green’s function methods to solve
a general type of singular boundary value problems (BVP) in 2D and 3D, in which
an inhomogeneous Robin condition is imposed on each interior boundary ∂Uj . This
allows us to incorporate a variety of previous studies of singularly perturbed diffu sion problems into a single mathematical modeling framework. We mainly focus on
steady-state solutions and the approach to steady-state, but also highlight some of the
current challenges in dealing with time-dependent solutions and randomly switching
processes.
Date Issued
2024-12
Date Acceptance
2024-10-26
Citation
Journal of Mathematical Biology, 2024, 89 (6)
ISSN
0303-6812
Publisher
Springer
Journal / Book Title
Journal of Mathematical Biology
Volume
89
Issue
6
Copyright Statement
© The Author(s) 2024 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
http://dx.doi.org/10.1007/s00285-024-02160-2
Publication Status
Published
Article Number
58
Date Publish Online
2024-11-04