An agent-based model of molecular aggregation at the cell membrane.

PLoS One

Department of Physics and Randall Centre for Cell and Molecular Biophysics, King's College London, London, England, United Kingdom.

Published: May 2020

AI Article Synopsis

  • Molecular clustering at the plasma membrane plays a crucial role in regulating cellular signaling and has been better understood through super-resolution microscopy, revealing nanoscale molecular clusters.
  • Despite advances in imaging, modeling these complex molecular distributions and dynamics remains challenging due to the numerous biophysical factors involved.
  • The authors propose an agent-based model simulating molecular aggregation, demonstrating that simulating molecules as influenced by their neighbors can replicate observed cell distributions, thereby providing a simplified method to study these complex processes.

Article Abstract

Molecular clustering at the plasma membrane has long been identified as a key process and is associated with regulating signalling pathways across cell types. Recent advances in microscopy, in particular the rise of super-resolution, have allowed the experimental observation of nanoscale molecular clusters in the plasma membrane. However, modelling approaches capable of recapitulating these observations are in their infancy, partly because of the extremely complex array of biophysical factors which influence molecular distributions and dynamics in the plasma membrane. We propose here a highly abstracted approach: an agent-based model dedicated to the study of molecular aggregation at the plasma membrane. We show that when molecules are modelled as though they can act (diffuse) in a manner which is influenced by their molecular neighbourhood, many of the distributions observed in cells can be recapitulated, even though such sensing and response is not possible for real membrane molecules. As such, agent-based offers a unique platform which may lead to a new understanding of how molecular clustering in extremely complex molecular environments can be abstracted, simulated and interpreted using simple rules.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006917PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0226825PLOS

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