Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cell-matrix's Response to Mechanical Forces

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

HIGH-TEMPERATURE PERFORMANCE AND RETAINED STRENGTH OF AN OXIDE-OXIDE CONTINUOUS FIBRE CERAMIC COMPOSITE.

Proceedings of the ... annual Conference on Composites, Advanced Ceramics, Materials, and Structures. A, Ceramic Engineering and Science Proceedings. Conference on Composites, Advanced Ceramics, Materials, and Structures·2026

Same author

Validation of a Biomechanical Performance Assessment Platform Applying an Inertial-Bpased Biosensor and Axis Vector Computation.

icSPORTS·2026

Same author

Pitch Invariance Reveals Skill-Specific Coordination in Human Movement: A Screw-Theoretic Reanalysis of Golf Swing Dynamics.

Journal of functional morphology and kinesiology·2025

Same author

An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis.

Sensors (Basel, Switzerland)·2024

Same author

Leveraging pleat folds and soft compliant elements in inflatable fabric beams.

Frontiers in robotics and AI·2024

Same author

Validation of a Biomechanical Injury and Disease Assessment Platform Applying an Inertial-Based Biosensor and Axis Vector Computation.

Electronics·2023

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Perturbing Endothelial Biomechanics via Connexin 43 Structural Disruption

Perturbing Endothelial Biomechanics via Connexin 43 Structural Disruption

Published on: October 4, 2019

An inverse method for predicting tissue-level mechanics from cellular mechanical input.

Wangdo Kim¹, Derek C Tretheway, Sean S Kohles

¹Department of Mechanical & Materials Engineering, Portland State University, P.O. Box 751 Portland, OR 97201, USA.

Journal of Biomechanics

|January 13, 2009

Summary

This summary is machine-generated.

Understanding how mechanical forces in the extracellular matrix (ECM) influence cells is key for tissue development. This study uses an inverse problem approach to estimate the specific ECM mechanical stimulation needed for desired cellular responses.

More Related Videos

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Published on: January 18, 2022

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy

Published on: June 27, 2013

Related Experiment Videos

Last Updated: Jun 26, 2026

Perturbing Endothelial Biomechanics via Connexin 43 Structural Disruption

Perturbing Endothelial Biomechanics via Connexin 43 Structural Disruption

Published on: October 4, 2019

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation

Published on: January 18, 2022

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy

Measuring the Mechanical Properties of Living Cells Using Atomic Force Microscopy

Published on: June 27, 2013

Area of Science:

Biomechanics
Cellular mechanics
Tissue engineering

Background:

The extracellular matrix (ECM) is a dynamic structure that transmits mechanical stimuli to cells, influencing biological functions like tissue development.
The precise mechanical forces required to elicit specific cellular responses within the ECM are not fully understood.
Existing theories hypothesize cellular responses to variations in external mechanical forces on the ECM.

Purpose of the Study:

To explore the cell-to-tissue inverse problem as a method to determine the ECM mechanical stimulation necessary for a specified cellular mechanical environment.
To utilize eigenvalues, eigenvectors, and dynamic programming to simplify a cell-tissue system and estimate ECM mechanical forces.

Main Methods:

A simplified two-dimensional model was analyzed using finite element and inverse numerical methods.
Eigenvalues (resonant frequencies) and eigenvectors (mode shapes) were employed to reduce the mathematical order of the system.
Dynamic programming was used to estimate the unknown ECM mechanical stimulation.

Main Results:

Reducing the number of mechanical modes from 30 to 14 and then to 7 adequately reproduced an unknown force time history on the ECM boundary.
The study demonstrated the effectiveness of inverse analysis in estimating ECM mechanical stimulation.
A comparison between cell-to-tissue inverse modeling and tissue-to-cell boundary value modeling highlighted the multiscale applicability of the inverse approach.

Conclusions:

The cell-to-tissue inverse problem provides a viable method for estimating ECM mechanical stimulation required for specific cellular mechanical environments.
Mathematical order reduction techniques, including the use of eigenvalues and eigenvectors, are effective in simplifying complex cell-tissue systems.
The inverse modeling approach shows promise for understanding and potentially controlling cellular behavior through mechanical regulation of the ECM across multiple scales.