Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cell Migration01:19

Cell Migration

6.4K
Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
6.4K
Cell Migration01:09

Cell Migration

18.7K
Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
18.7K
Cancer Cell Migration through Invadopodia01:35

Cancer Cell Migration through Invadopodia

3.2K
Invadosome is a broad category of cell surface structures with proteolytic activity that  degrades the extracellular matrix (ECM). Invadosomes are present in normal cell types, including macrophages, endothelial cells, and neurons, as well as tumor cells. Although the macrophage podosomes and tumor cell invadopodia are classified as invadosomes, they have different structures, molecular pathways, and functions. Podosomes are short structures that last for a few minutes. However,...
3.2K
Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

4.4K
Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon...
4.4K
Role of Myosin in Cell Migration01:18

Role of Myosin in Cell Migration

3.2K
Myosins are multimeric motor proteins involved in various cellular processes such as migration, adhesion, and proliferation. Myosin II is the most common type in animal cells, which binds and cross-links actin filaments.
Myosin II  is a hexamer comprising two heavy chains with globular heads and coiled-coil tails, two regulatory light chains, and two essential light chains. The ATPase sites on the myosin heads hydrolyze ATP, and the released phosphate generates the force for contraction....
3.2K
Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

5.4K
A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker...
5.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Consensus Formation and Change are Enhanced by Neutrality.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Rate-induced phenomena in dynamical systems with attracting limit cycles.

Chaos (Woodbury, N.Y.)·2025
Same author

Modeling adhesion in stochastic and mean-field models of cell migration.

Physical review. E·2025
Same author

Foresight approaches for future health shocks: integration into policy making and accompanying research priorities.

BMJ (Clinical research ed.)·2024
Same author

Minimal reaction schemes for pattern formation.

Journal of the Royal Society, Interface·2024
Same author

Mathematical methods for scaling from within-host to population-scale in infectious disease systems.

Epidemics·2023
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

An Instrumented Pull Test to Characterize Postural Responses
12:18

An Instrumented Pull Test to Characterize Postural Responses

Published on: April 6, 2019

11.4K

Pulling in models of cell migration.

George Chappelle1, Christian A Yates2

  • 1Department of Mathematics, Imperial College London SW7 2AZ, United Kingdom.

Physical Review. E
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

This study models cell-cell pulling, a key interaction in crowded biological environments like wound healing and cancer growth. Agent-based models and continuum equations show good agreement, but model complexity and lattice type impact accuracy.

More Related Videos

Pulling Membrane Nanotubes from Giant Unilamellar Vesicles
06:26

Pulling Membrane Nanotubes from Giant Unilamellar Vesicles

Published on: December 7, 2017

11.5K
A Customizable Chamber for Measuring Cell Migration
07:33

A Customizable Chamber for Measuring Cell Migration

Published on: March 12, 2017

11.1K

Related Experiment Videos

Last Updated: Jan 21, 2026

An Instrumented Pull Test to Characterize Postural Responses
12:18

An Instrumented Pull Test to Characterize Postural Responses

Published on: April 6, 2019

11.4K
Pulling Membrane Nanotubes from Giant Unilamellar Vesicles
06:26

Pulling Membrane Nanotubes from Giant Unilamellar Vesicles

Published on: December 7, 2017

11.5K
A Customizable Chamber for Measuring Cell Migration
07:33

A Customizable Chamber for Measuring Cell Migration

Published on: March 12, 2017

11.1K

Area of Science:

  • Mathematical Biology
  • Cellular Dynamics
  • Biophysics

Background:

  • Cell migration is crucial in biological processes such as wound healing, cancer progression, and embryonic development.
  • Crowded cellular environments involve complex interactions including excluded-volume, adhesion, repulsion, signaling, pushing, and pulling.
  • Agent-based models (ABMs) are widely used to study how microscopic cell behaviors influence population-level dynamics, typically incorporating volume exclusion.

Purpose of the Study:

  • To investigate the under-represented cell-cell pulling interaction in agent-based models.
  • To incorporate various cell-cell pulling mechanisms into on- and off-lattice ABMs.
  • To derive and compare continuum partial differential equations (PDEs) from these ABMs and assess model agreement.

Main Methods:

  • Developed on- and off-lattice agent-based volume exclusion models incorporating diverse cell-cell pulling mechanisms.
  • Derived corresponding continuum partial differential equations (PDEs) to describe population-level cell evolution.
  • Quantitatively assessed the agreement between ABM simulations and derived continuum models.

Main Results:

  • Generally good agreement was observed between the agent-based models and their corresponding continuum models.
  • Model agreement decreased as the complexity of the agent-based models increased.
  • Significant differences were found in the derived PDEs based on whether they originated from on- or off-lattice ABMs, highlighting the importance of lattice choice.

Conclusions:

  • Cell-cell pulling is an important interaction to consider in modeling crowded cell populations.
  • The choice of agent-based model (on- vs. off-lattice) significantly influences the resulting continuum model.
  • Accurate representation of cell-cell pulling requires careful selection of the appropriate agent-based modeling framework.