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Related Concept Videos

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

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...

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Long-term Intravital Immunofluorescence Imaging of Tissue Matrix Components with Epifluorescence and Two-photon Microscopy
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Cell matrix remodeling ability shown by image spatial correlation.

Chi-Li Chiu1, Michelle A Digman, Enrico Gratton

  • 1Department of Developmental and Cell Biology, University of California, Irvine, CA 92697, USA.

Journal of Biophysics (Hindawi Publishing Corporation : Online)
|August 13, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new quantitative method using image spatial correlation to measure extracellular matrix (ECM) remodeling by cells. The technique reveals distinct collagen remodeling abilities among different cell lines and drug treatments.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Biomaterials Science

Background:

  • Extracellular matrix (ECM) remodeling is crucial in biological and pathological processes.
  • Existing methods lack quantitative measurement of ECM remodeling at the cellular scale.

Purpose of the Study:

  • To develop and apply a quantitative method for measuring cellular collagen remodeling.
  • To assess collagen remodeling by different cancer and fibroblast cell lines.
  • To evaluate the impact of specific drugs on cellular collagen remodeling.

Main Methods:

  • Application of image spatial correlation to collagen second harmonic generation (SHG) images.
  • Development of a statistical method using spatial correlation functions to quantify collagen density around cells.
  • Analysis of breast cancer cell lines (MDA-MB-231, MCF-7) and a fibroblast cell line (NIH/3T3).
  • Quantitative measurement of drug effects (Latrunculin B, Marimastat) on collagen remodeling.

Main Results:

  • The spatial correlation method successfully quantified collagen remodeling by different cell lines.
  • Distinct collagen compaction levels were observed, indicating varying remodeling abilities.
  • Latrunculin B and Marimastat treatments significantly decreased collagen compaction levels in MDA-MB-231 cells.

Conclusions:

  • The proposed spatial correlation method provides a quantitative approach to assess cellular ECM remodeling.
  • Cellular invasiveness correlates with distinct collagen remodeling capacities.
  • Pharmacological interventions can modulate cellular collagen remodeling capabilities.