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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...
The Extracellular Matrix01:42

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.

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Related Experiment Video

Updated: Jun 6, 2026

Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology
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Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology

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Tracking Spatiotemporal Extracellular Matrix Evolution and Tissue Fusion in 3D Microtissues via Click Chemistry-Based

Theresa Koenig1, F Max Yavitt1, Laura Veenendaal1

  • 1Christchurch Regenerative Medicine and Tissue Engineering (CReaTE) Group, Department of Orthopaedic Surgery & Musculoskeletal Medicine, Centre for Bioengineering & Translational Health Technologies, University of Otago, Christchurch, New Zealand.

Advanced Healthcare Materials
|June 5, 2026
PubMed
Summary

Researchers developed a new method to visualize newly forming extracellular matrix (ECM) in 3D engineered tissues. This technique tracks protein deposition over time, offering insights into tissue development and regeneration.

Keywords:
3D in‐vitro modelscartilagemetabolic labelingnascent protein depositionspheroids

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Last Updated: Jun 6, 2026

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11:11

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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

Area of Science:

  • Biomaterials Science
  • Tissue Engineering
  • Cell Biology

Background:

  • The extracellular matrix (ECM) is essential for tissue structure and function.
  • Understanding ECM dynamics is key for regenerative medicine.
  • Current methods struggle to analyze ECM in dense 3D engineered tissues.

Purpose of the Study:

  • To develop and validate a novel technique for tracking nascent protein deposition in 3D cartilage microtissues.
  • To investigate the spatiotemporal evolution of the ECM during microtissue formation and fusion.
  • To provide a tool for studying tissue development at a clinically relevant scale.

Main Methods:

  • Metabolic labeling of nascent proteins using non-canonical amino acids (L-azidohomoalanine).
  • Fluorescent labeling and visualization of newly incorporated amino acids in the ECM.
  • Time-lapse imaging of 3D cartilage microtissues at different developmental stages (Day 1, 7, 14).
  • Application of a 3D bioassembly model to study microtissue fusion.

Main Results:

  • Nascent protein deposition was predominantly observed at the periphery of microtissues.
  • Significant ECM deposition occurred at later time points (Day 14) compared to early stages (Day 1).
  • The technique successfully visualized ECM integration during microtissue fusion.

Conclusions:

  • Metabolic labeling provides a powerful method to visualize and quantify ECM formation in 3D engineered tissues.
  • This approach offers insights into the kinetics of tissue development and integration.
  • The technique has potential applications for advancing regenerative strategies and understanding tissue homeostasis.