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Related Experiment Video

Updated: Nov 29, 2025

Static Adhesion Assay for the Study of Integrin Activation in T Lymphocytes

Static Adhesion Assay for the Study of Integrin Activation in T Lymphocytes

Published on: June 13, 2014

Network Analysis of Integrin Adhesion Complexes.

Frederic Li Mow Chee¹, Adam Byron²

¹Cancer Research UK Edinburgh Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.

Methods in Molecular Biology (Clifton, N.J.)

|November 20, 2020

Summary

This summary is machine-generated.

This study introduces a network analysis approach for cell-ECM adhesion proteomes. It maps adhesion complex networks to predict protein functions and generate new research hypotheses.

Keywords:

Bioinformatics Cell adhesion Cell signaling Data analysis Integrins Interaction networks Network analysis Proteomics

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Last Updated: Nov 29, 2025

Static Adhesion Assay for the Study of Integrin Activation in T Lymphocytes

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Published on: June 13, 2014

Analyzing Cell Surface Adhesion Remodeling in Response to Mechanical Tension Using Magnetic Beads

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Adhesion Frequency Assay for In Situ Kinetics Analysis of Cross-Junctional Molecular Interactions at the Cell-Cell Interface

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Published on: November 2, 2011

Area of Science:

Cell biology
Proteomics
Bioinformatics

Background:

Cell-surface adhesion receptors, like integrins, control cell behavior through interactions with the extracellular matrix (ECM).
These receptors form adhesion complexes linking the plasma membrane to the cytoskeleton, with assembly regulated by protein interactions within the adhesome.
Proteomic studies reveal the complexity and diversity of these adhesion complexes.

Purpose of the Study:

To develop and present a network analysis approach for interrogating the composition of cell-ECM adhesion complexes.
To integrate proteomic data with existing databases for mapping adhesion complex networks.
To computationally identify subnetworks of functionally linked protein communities within adhesion complexes.

Main Methods:

Proteomic profiling of adhesion complexes.
Network analysis of proteomic data.
Integration with adhesome databases and predicted protein interactions.
Computational analysis of network models.

Main Results:

A framework for mapping experimentally defined adhesion complex networks was established.
Identification of subnetworks representing putative functionally linked adhesion protein communities.
Demonstration of an approach to predict functional protein relationships.

Conclusions:

The developed network analysis approach provides a powerful framework for understanding cell-ECM adhesion.
This method facilitates the generation of novel mechanistic hypotheses for future experimental validation.
It enhances the study of molecular complexity and functional relationships within adhesion complexes.