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Related Concept Videos

Cell-surface Signaling01:21

Cell-surface Signaling

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Hormones—or any molecule that binds to a receptor, known as a ligand—that are lipid-insoluble (water-soluble) are not able to diffuse across the cell membrane. In order to be able to affect a cell without entering it, these hormones bind to receptors on the cell membrane. When a first messenger, a hormone, binds to a receptor, a signal cascade is set off, causing second messengers, proteins inside the cell, to become activated, resulting in downstream effects.
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Modeling and Imaging 3-Dimensional Collective Cell Invasion
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Modelling cell surface dynamics and cell-cell interactions using Cell Studio: a three-dimensional visualization tool

Asaf Liberman1, Matan Mussel2, Danny Kario1,3

  • 1The Department of Biomedical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.

Journal of the Royal Society, Interface
|November 28, 2019
PubMed
Summary
This summary is machine-generated.

Agent-based modeling with Cell Studio visualizes cell interactions for complex biological systems. This approach reveals that active transport, not just diffusion, is crucial for filopodia signalling.

Keywords:
agent-based modelfilopodium-mediated signallingjuxtacrine signallingthree-dimensional visualization

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Area of Science:

  • Computational Biology
  • Cellular Biophysics
  • Systems Biology

Background:

  • Predictive modeling of complex biological systems often requires detailed simulation of nano- and micro-scale events.
  • Traditional numerical solutions may not fully enhance system understanding.
  • Agent-based modeling (ABM) offers a powerful alternative for visualizing cellular interactions.

Purpose of the Study:

  • To explore the use of an agent-based model with visualization capabilities to elucidate single-cell interactions.
  • To present a Cell Studio-based model for juxtacrine signalling, leveraging gaming and 3D visualization.
  • To demonstrate the model's utility in understanding emergent behavior in biological systems.

Main Methods:

  • Development of an agent-based model using Cell Studio, allowing for arbitrary cell geometries and real-time molecular diffusion visualization.
  • Validation of the ABM against a mean-field model of Notch receptors and ligands.
  • Creation of a filopodium-mediated signalling model to showcase the ABM's advantages.

Main Results:

  • The ABM successfully visualizes molecular dynamics and emergent behavior in real-time.
  • Model validation against a mean-field approach confirmed its accuracy.
  • Filopodia signalling is significantly enhanced by active transport of ligands, overcoming diffusion and endocytosis limitations.

Conclusions:

  • Agent-based modeling provides valuable insights into cell signalling mechanisms.
  • Visualization of molecular dynamics and emergent behavior aids biological understanding.
  • The developed open-source model is available on GitHub for further research.