Papers
Topics
Authors
Recent
Search
2000 character limit reached

Using multiple Dirac delta points to describe inhomogeneous flux density over a cell boundary in a single-cell diffusion model

Published 29 Jan 2024 in math.NA, cs.NA, and physics.bio-ph | (2401.16261v2)

Abstract: Biological cells can release compounds into their direct environment, generally inhomogeneously over their cell membrane, after which the compounds spread by diffusion. In mathematical modelling and simulation of a collective of such cells, it is theoretically and numerically advantageous to replace spatial extended cells with point sources, in particular when cell numbers are large, but still so small that a continuum density description cannot be justified, or when cells are moving. We show that inhomogeneous flux density over the cell boundary may be realized in a point source approach, thus maintaining computational efficiency, by utilizing multiple, clustered point sources (and sinks). In this report, we limit ourselves to a sinusoidal function as flux density in the spatial exclusion model, and we show how to determine the amplitudes of the Dirac delta points in the point source model, such that the deviation between the point source model and the spatial exclusion model is small.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (10)
  1. Molecular Biology of the Cell. Garland Science, New York, 4 edition, 2002.
  2. G. Cooper and K. Adams. The cell: a molecular approach. Oxford University Press, 2022.
  3. Modelling with measures: Approximation of a mass-emitting object by a point source. Mathematical Biosciences and Engineering, 12(2):357–373, 2015.
  4. D. J. Griffiths. Introduction to electrodynamics, 2005.
  5. Q. Peng and S. C. Hille. Quality of approximating a mass-emitting object by a point source in a diffusion model. Computers & Mathematics with Applications, 151:491–507, Dec. 2023.
  6. Q. Peng and F. Vermolen. Agent-based modelling and parameter sensitivity analysis with a finite-element method for skin contraction. Biomechanics and Modeling in Mechanobiology, 19(6):2525–2551, July 2020.
  7. Q. Peng and F. Vermolen. Numerical methods to compute stresses and displacements from cellular forces: Application to the contraction of tissue. Journal of Computational and Applied Mathematics, 404:113892, Apr. 2022.
  8. B. Perbal. Communication is the key. Cell Communication and Signaling, 1(1):3, 2003.
  9. Numerical Methods in Scientific Computing. TU Delft OPEN Publishing, Sept. 2023.
  10. Numerical Methods for Ordinary Differential Equations. TU Delft Open, 2023.
Citations (1)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 2 tweets with 5 likes about this paper.