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

Mechanical Protein Functions01:58

Mechanical Protein Functions

5.8K
Proteins perform many mechanical functions in a cell. These proteins can be classified into two general categories- proteins that generate mechanical forces and proteins that are subjected to mechanical forces. Proteins providing mechanical support to the structure of the cell, such as keratin, are subjected to mechanical force, whereas proteins involved in cell movement and transport of molecules across cell membranes, such as an ion pump, are examples of generating mechanical force. 
5.8K
Studying the Cytoskeleton01:17

Studying the Cytoskeleton

10.3K
The cytoskeletal architecture can be studied using different microscopic and biochemical techniques. Electron microscopy was instrumental in discovering the cytoskeletal architecture around the 1960s, which allowed obtaining structural information at a high-resolution level. However, the sample preparation procedure often limits this ability in biological samples. Several protocols have been developed over the years to optimize sample preparation. In one of the protocols known as rotary...
10.3K
Cell-matrix's Response to Mechanical Forces01:13

Cell-matrix's Response to Mechanical Forces

3.6K
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...
3.6K

You might also read

Related Articles

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

Sort by
Same author

Shrinky Dinks-Based Bionic Meta-Microneedles for Advancing Wound Healing.

ACS applied materials & interfaces·2026
Same author

A Modular Liver-Microbial Microfluidic Platform to Evaluate Therapeutic and Adverse Effects of Microbial Metabolites.

Advanced healthcare materials·2026
Same author

Strain-localized luminescent e-skin for high-resolution pressure mapping and visual force feedback.

Nature communications·2026
Same author

Bridging the Gap - Advancing Microfluidics From Laboratory to Point-of-Care.

IEEE reviews in biomedical engineering·2026
Same author

A Portable and Dual-Button Microneedle Device Enables Intelligent Multimodal Laser Sensing.

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

Wash-Free Digital Detection of Tumor Extracellular Vesicles via Plasmonic Droplet Microfluidics.

ACS sensors·2026

Related Experiment Video

Updated: Feb 22, 2026

Direct Force Measurements of Subcellular Mechanics in Confinement using Optical Tweezers
09:56

Direct Force Measurements of Subcellular Mechanics in Confinement using Optical Tweezers

Published on: August 31, 2021

5.6K

Probing eukaryotic cell mechanics via mesoscopic simulations.

Kirill Lykov1, Yasaman Nematbakhsh2,3, Menglin Shang4

  • 1Institute of Computational Science, Faculty of Informatics, USI Lugano, Lugano, Switzerland.

Plos Computational Biology
|September 19, 2017
PubMed
Summary

We developed a new particle-based model of eukaryotic cells to understand how internal components like the nucleus and cytoskeleton affect cell mechanics. This model clarifies the role of sub-cellular structures in cell deformation and viscoelasticity.

More Related Videos

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
05:49

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Published on: December 2, 2022

3.2K
Probing Cell Mechanics with Bead-Free Optical Tweezers in the Drosophila Embryo
08:23

Probing Cell Mechanics with Bead-Free Optical Tweezers in the Drosophila Embryo

Published on: November 2, 2018

8.1K

Related Experiment Videos

Last Updated: Feb 22, 2026

Direct Force Measurements of Subcellular Mechanics in Confinement using Optical Tweezers
09:56

Direct Force Measurements of Subcellular Mechanics in Confinement using Optical Tweezers

Published on: August 31, 2021

5.6K
Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements
05:49

Mechano-Node-Pore Sensing: A Rapid, Label-Free Platform for Multi-Parameter Single-Cell Viscoelastic Measurements

Published on: December 2, 2022

3.2K
Probing Cell Mechanics with Bead-Free Optical Tweezers in the Drosophila Embryo
08:23

Probing Cell Mechanics with Bead-Free Optical Tweezers in the Drosophila Embryo

Published on: November 2, 2018

8.1K

Area of Science:

  • Biophysics
  • Cellular Mechanics
  • Computational Biology

Background:

  • Cell mechanics is crucial for biological processes, but sub-cellular roles in deformation remain unclear.
  • Existing experimental techniques offer limited insight into the specific contributions of intracellular components.

Purpose of the Study:

  • To develop a mesoscopic model of eukaryotic cells that explicitly includes the membrane, nucleus, and cytoskeleton.
  • To investigate the impact of sub-cellular components on cell viscoelasticity using computational modeling.

Main Methods:

  • Utilized the Dissipative Particle Dynamics (DPD) method for mesoscopic modeling.
  • Incorporated explicit representations of the cell membrane, nucleus, and cytoskeleton.
  • Calibrated and validated the model using micropipette aspiration and microfluidic experimental data.

Main Results:

  • The developed model successfully simulates eukaryotic cell behavior under mechanical stress.
  • The model allows for the quantitative study of how the nucleus and cytoskeleton influence cell viscoelastic responses.
  • Validated model predictions align with experimental observations from micropipette aspiration and microfluidic setups.

Conclusions:

  • The new mesoscopic particle-based model provides a unified framework for studying cell mechanics.
  • This computational approach enhances understanding of sub-cellular component contributions to cell deformation.
  • The validated model serves as a tool for further investigations into cell biomechanics and interactions in flow.