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 Migration01:09

Cell Migration

18.4K
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.
18.4K
Cell Migration01:19

Cell Migration

6.2K
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.
6.2K
Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

5.3K
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...
5.3K
Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

4.3K
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...
4.3K
Role of Myosin in Cell Migration01:18

Role of Myosin in Cell Migration

3.1K
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....
3.1K
Actin Polymerization and Cell Motility01:13

Actin Polymerization and Cell Motility

6.3K
Actin is a family of globular proteins that are highly abundant in eukaryotic cells. It makes up approximately 1-5% of total cell protein concentration. Actin monomers polymerize to form a complex network of polarized filaments, the actin cytoskeleton, that plays a crucial role in many cellular processes, including cell motility, division, endocytosis, and metastasis of cancer cells.
Actin cytoskeleton dynamics can produce pushing, pulling, and resistance forces that help the cell to migrate....
6.3K

You might also read

Related Articles

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

Sort by
Same author

GPU-accelerated MitoGraph for high-throughput three-dimensional mitochondrial morphology analysis.

BMC bioinformatics·2026
Same author

Membrane Kymograph Generator: a cross-platform GUI software for automated generation and analysis of kymographs along dynamic cell boundaries.

Bioinformatics (Oxford, England)·2026
Same author

The structural basis for LRRK2's activation and autoinhibition.

bioRxiv : the preprint server for biology·2026
Same author

The molecular architecture of tunneling nanotubes.

bioRxiv : the preprint server for biology·2026
Same author

From microscope to model: rotating signaling dynamics and cluster size in Dictyostelium discoideum aggregates.

BMC molecular and cell biology·2026
Same author

The COX2-PGE<sub>2</sub>-PKA Axis Suppresses Antiviral Immunity by Inhibiting mtDNA-Dependent STING Activation.

bioRxiv : the preprint server for biology·2026
Same journal

Elementary vectors reveal minimal interactions in microbial communities.

Journal of the Royal Society, Interface·2026
Same journal

Conditional filamentation enhances bacterial survival in toxic environments.

Journal of the Royal Society, Interface·2026
Same journal

Switching exploration modes in human mobility.

Journal of the Royal Society, Interface·2026
Same journal

Bridging the gap: towards a digital twin to optimize therapeutic cell-seeding strategies in nerve tissue engineering.

Journal of the Royal Society, Interface·2026
Same journal

Mechanistic insights into Bluetongue virus immunodynamics: a Bayesian within-host modelling approach.

Journal of the Royal Society, Interface·2026
Same journal

Basement membrane turnover drivesfilopodial protease-independent invasion.

Journal of the Royal Society, Interface·2026
See all related articles

Related Experiment Video

Updated: Jan 1, 2026

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
11:43

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

Published on: April 3, 2015

8.9K

A minimal computational model for three-dimensional cell migration.

Yuansheng Cao1, Elisabeth Ghabache1, Yuchuan Miao2

  • 1Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA.

Journal of the Royal Society, Interface
|December 19, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a computational model for eukaryotic cell migration, simulating dynamic shape changes and mode switching. The model successfully replicates experimental observations in Dictyostelium discoideum, highlighting substrate-biomechanics coupling.

Keywords:
Dictyosteliumcell migrationcomputational modellingmigration mode

More Related Videos

Study of Cell Migration in Microfabricated Channels
09:36

Study of Cell Migration in Microfabricated Channels

Published on: February 21, 2014

12.3K
Characterizing Cell Migration Within Three-dimensional In Vitro Wound Environments
06:10

Characterizing Cell Migration Within Three-dimensional In Vitro Wound Environments

Published on: August 16, 2017

8.0K

Related Experiment Videos

Last Updated: Jan 1, 2026

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
11:43

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

Published on: April 3, 2015

8.9K
Study of Cell Migration in Microfabricated Channels
09:36

Study of Cell Migration in Microfabricated Channels

Published on: February 21, 2014

12.3K
Characterizing Cell Migration Within Three-dimensional In Vitro Wound Environments
06:10

Characterizing Cell Migration Within Three-dimensional In Vitro Wound Environments

Published on: August 16, 2017

8.0K

Area of Science:

  • Cell Biology
  • Biophysics
  • Computational Biology

Background:

  • Eukaryotic cell migration is a dynamic process involving continuous morphological changes.
  • Cells can switch between different migration modes, adding complexity to modeling.
  • Existing models struggle to track deforming membranes and intracellular dynamics driving migration changes.

Purpose of the Study:

  • To develop an efficient 3D computational model for cell migration.
  • To couple cell mechanics with intracellular signaling for mode switching.
  • To validate the model against experimental data.

Main Methods:

  • Developed a 3D computational model for cell migration.
  • Coupled cell mechanics with an intracellular activator-inhibitor signaling system.
  • Validated model predictions using quantitative experiments with Dictyostelium discoideum.

Main Results:

  • The model successfully reproduced observed cell migration modes.
  • Varying mechanical or biochemical parameters altered simulated migration patterns.
  • The model suggests a link between substrate properties and cell biomechanics.

Conclusions:

  • The developed computational model effectively simulates complex eukaryotic cell migration.
  • The model provides insights into the mechanisms of migration mode switching.
  • A coupling between substrate and cell biomechanics is proposed as a key factor in cell migration.