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The Extracellular Matrix

The Extracellular Matrix

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 MatrixThe extracellular matrix (ECM) is commonly composed of ground substance, a gel-like fluid, fibrous components, and many structurally and functionally diverse molecules.

The Extracellular Matrix

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...

Overview of Cell-Matrix Interactions

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: Jun 25, 2026

A Rapid, Scalable Method for the Isolation, Functional Study, and Analysis of Cell-derived Extracellular Matrix

A Rapid, Scalable Method for the Isolation, Functional Study, and Analysis of Cell-derived Extracellular Matrix

Published on: January 4, 2017

Using self-assembled monolayers to model the extracellular matrix.

Milan Mrksich¹

¹Department of Chemistry, Howard Hughes Medical Institute, The University of Chicago, 929 East 57th Street, Chicago, IL 60637, USA. mmrksich@uchicago.edu

Acta Biomaterialia

|March 3, 2009

Summary

This summary is machine-generated.

Self-assembled monolayers on gold provide precise control over cell adhesion ligand presentation. This enables advanced studies of cell-matrix interactions and signaling in cell biology.

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Area of Science:

Biomaterials Science
Cell Biology
Surface Chemistry

Background:

The extracellular matrix (ECM) is crucial for cell microenvironments, mediating cell attachment, spreading, and signaling via ligands.
Current methods for studying cell-matrix interactions often lack control over immobilized protein structure and activity.
Developing model substrates with defined ligand presentation is essential for understanding cell behavior.

Purpose of the Study:

To review the design and applications of self-assembled monolayers (SAMs) for cell biology research.
To highlight how SAMs enable controlled studies of cell-matrix interactions and signaling.
To showcase the versatility of SAMs in advancing cell adhesion and behavior investigations.

Main Methods:

Utilizing self-assembled monolayers of alkanethiolates on gold surfaces for precise control over surface molecular structure.
Developing methods to pattern adhesion ligands (peptides and proteins) on SAMs at defined densities and orientations.
Creating dynamic SAMs capable of switching ligand activity and rewiring cell-substrate interactions.

Main Results:

SAMs offer a high degree of control over surface chemistry, ideal for cell adhesion studies.
Methods for patterning ligands on SAMs allow for precise spatial control of cell interactions.
Dynamic SAMs enable the investigation of time-dependent cell responses to controlled stimuli.

Conclusions:

Self-assembled monolayers are a powerful and flexible tool for cell biology research.
SAMs facilitate detailed investigation into cell-matrix interactions, ligand roles, and signaling pathways.
This technology advances the ability to engineer cell behavior and understand fundamental biological processes.