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Related Concept Videos

The Extracellular Matrix01:42

The Extracellular Matrix

Overview
The Extracellular Matrix01:29

The Extracellular Matrix

Overview
In order to maintain tissue organization, many animal cells are surrounded by structural molecules that make up the extracellular matrix (ECM). Together, the molecules in the ECM maintain the structural integrity of tissue as well as the remarkable specific properties of certain tissues.
Composition of the Extracellular Matrix
The extracellular matrix (ECM) is commonly composed of ground substance, a gel-like fluid, fibrous components, and many structurally and functionally diverse...
Extracellular Matrix01:26

Extracellular Matrix

Unlike epithelial tissue, which is composed of cells closely packed with little or no extracellular space in between, connective tissue cells are dispersed in a matrix. This extracellular matrix (ECM) is composed of fibrous proteins like collagen, elastin, and fibronectin in a ground substance consisting of interstitial fluid, cell adhesion proteins, and proteoglycans. The proteoglycans form a gel-like material in the spaces between cells and provide hydration, buffering, binding, and force...
Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...

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Related Experiment Video

Updated: May 14, 2026

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix
08:49

Engineering Three-dimensional Epithelial Tissues Embedded within Extracellular Matrix

Published on: July 10, 2016

Modeling extracellular matrix reorganization in 3D environments.

Dewi Harjanto1, Muhammad H Zaman

  • 1Department of Biomedical Engineering, Boston University, Boston, MA, USA.

Plos One
|January 24, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a computational model for extracellular matrix (ECM) remodeling. The model simulates how cells interact with and alter their 3D matrix environment, providing insights into cancer cell invasiveness.

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Area of Science:

  • Computational biology
  • Biophysics
  • Cell biology

Background:

  • Extracellular matrix (ECM) remodeling is crucial for cell migration and function in 3D environments.
  • Existing models lack detailed simulation of cellular influence on ECM architecture.
  • Understanding cell-matrix interactions is vital for physiological and pathological processes.

Purpose of the Study:

  • To develop and validate a novel computational model for simulating 3D matrix remodeling.
  • To investigate how different cell phenotypes and matrix densities influence ECM modification.
  • To provide a platform for studying cell behavior in native-like environments.

Main Methods:

  • Developed a 3D computational model explicitly defining cells within a collagenous matrix.
  • Simulated cellular actions: degradation, deposition, and fiber pulling based on local density.
  • Modeled cell movement and varied cellular parameters to represent different phenotypes.
  • Analyzed the fraction of matrix occupied by fibers to quantify remodeling.

Main Results:

  • Cells deposit more collagen in low-density environments, increasing fibril fraction.
  • In high-density environments, less invasive cells reduced fibril fraction compared to highly invasive cells.
  • Model results showed good qualitative and quantitative agreement with experimental data.

Conclusions:

  • The novel simulation platform accurately models ECM remodeling by cells.
  • It offers new insights into how cell invasiveness and matrix density dictate cellular behavior.
  • This tool can help identify critical parameters in cell-matrix interactions within complex environments.