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

Actin Polymerization and Cell Motility01:13

Actin Polymerization and Cell Motility

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.
Cell Motility through Blebbing01:16

Cell Motility through Blebbing

Blebs are a type of membrane protrusion formed by the internal hydrostatic pressure of the cytoplasm. Blebs are observed in several cell types, including fibroblasts, immune cells, and single-celled organisms like the amoeba. The primary function of blebs is cell locomotion and apoptosis, but they are also found during necrosis and cell division. The life cycle of a bleb comprises an initiation phase followed by the expansion and retraction phases.
Blebbing Through the Matrix
In multicellular...
Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

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 proteins that...
Cell Polarization by Rho Proteins01:21

Cell Polarization by Rho Proteins

Cell polarity is the asymmetric distribution of cellular and membrane components, making one side of the cell different from the other. This polarity is essential to many processes such as embryogenesis, axon migration, glucose transport across epithelial cells, and directional cell migration. A migrating cell responds to intracellular or extracellular signals via molecular cascades that reorganize the actin cytoskeleton to establish this polarity. In these cells, the Rho family proteins Cdc42,...
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
Cell-matrix's Response to Mechanical Forces01:13

Cell-matrix's Response to Mechanical Forces

In animal cells, the extracellular matrix allows cells within tissues to withstand external stresses and transmits signals from the outside of the cell to the inside. The extracellular matrix is extensive, and its composition varies between different types of tissues. For example, the reticular fibers and ground substance make up the ECM in loose connective tissue, while collagen and bone minerals make up the ECM of bone tissue. 
Anchoring junctions mechanically attach a cell to the...

You might also read

Related Articles

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

Sort by
Same author

Emergence of biphasic versus monotonic response of actin retrograde flow and cell traction force with varying substrate rigidity.

Physical review. E·2024
Same author

Inertial effect on evasion and pursuit dynamics of prey swarms: the emergence of a favourable mass ratio for the predator-prey arms race.

Soft matter·2023
Same author

Collective motion: Influence of local behavioural interactions among individuals.

Journal of biosciences·2022
Same author

Cholate-conjugated cationic polymers for regulation of actin dynamics.

Journal of materials chemistry. B·2022
Same author

Fatty acid-based polymeric micelles to ameliorate amyloidogenic disorders.

Biomaterials science·2022
Same author

Growth kinetics and power laws indicate distinct mechanisms of cell-cell interactions in the aggregation process.

Biophysical journal·2021

Related Experiment Video

Updated: Jun 14, 2026

Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells
15:41

Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells

Published on: December 2, 2010

Nonlinear dynamics of cell orientation.

S A Safran1, Rumi De

  • 1Department of Materials and Interfaces, Weizmann Institute of Science, Rehovot 76100, Israel.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 7, 2010
PubMed
Summary
This summary is machine-generated.

Cellular orientation dynamics under time-varying stress fields depend on noise and relaxation times. We predict orientation angles and characteristic times as a function of frequency for experimental relevance.

More Related Videos

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading
10:54

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

Generation of Multicue Cellular Microenvironments by UV-Photopatterning of Three-Dimensional Cell Culture Substrates
09:30

Generation of Multicue Cellular Microenvironments by UV-Photopatterning of Three-Dimensional Cell Culture Substrates

Published on: June 2, 2022

Related Experiment Videos

Last Updated: Jun 14, 2026

Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells
15:41

Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells

Published on: December 2, 2010

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading
10:54

Quantitative Analysis of Cell Edge Dynamics during Cell Spreading

Published on: May 22, 2021

Generation of Multicue Cellular Microenvironments by UV-Photopatterning of Three-Dimensional Cell Culture Substrates
09:30

Generation of Multicue Cellular Microenvironments by UV-Photopatterning of Three-Dimensional Cell Culture Substrates

Published on: June 2, 2022

Area of Science:

  • Biophysics
  • Cellular mechanics
  • Nonlinear dynamics

Background:

  • Cellular orientation is influenced by external stress fields.
  • Understanding cellular response to dynamic forces is crucial for tissue engineering and disease research.

Purpose of the Study:

  • To investigate the nonlinear dependence of cellular orientation on time-varying stress fields.
  • To determine the characteristic time for cells to reach steady-state orientation.
  • To predict cellular orientation and characteristic time as a function of frequency.

Main Methods:

  • Analysis of cellular orientation dynamics under external, time-varying stress fields.
  • Modeling the influence of noise on orientation distribution.
  • Distinguishing between high-frequency and low-frequency orientation behaviors based on cytoskeletal relaxation time.

Main Results:

  • The characteristic time (tauc) for steady-state orientation is governed by the orientational relaxation time, not the local cytoskeletal relaxation time.
  • High-frequency stress fields lead to nearly perpendicular cellular orientations.
  • Low-frequency stress fields result in random or parallel cellular orientations.

Conclusions:

  • The study elucidates the complex relationship between cellular orientation, stress field frequency, and relaxation dynamics.
  • Predictions are made for experimental validation of cellular response to dynamic mechanical environments.
  • Findings provide insights into how cells orient and adapt to changing mechanical cues.