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Related Concept Videos

Intracellular Signaling Affects Focal Adhesions01:17

Intracellular Signaling Affects Focal Adhesions

Integrins act both as extracellular input receivers and as intracellular processing activators. As their name suggests, integrins are entirely integrated into the membrane structure. Their hydrophobic membrane-spanning regions interact with the phospholipid bilayer's hydrophobic region. These membrane receptors provide extracellular attachment sites for effectors like hormones and growth factors. They activate intracellular response cascades when their effectors are bound and active.
Some...
Activation of Integrins01:15

Activation of Integrins

Integrins bind ligands and transmit information from outside the cell to inside or vice-versa through an "outside-in signaling" or "inside-out signaling."
In "outside-in signaling," external factors in the extracellular space bind to exposed ligand binding sites on integrins. This causes the inactive protein to undergo a conformational change to become active. Integrins are often clustered on the cell membrane. Repetitive and regularly spaced ligand binding events provide an effective stimulus.
Integrins01:10

Integrins

Animal and protozoan cells do not have cell walls to help maintain shape and provide structural stability. Instead, these eukaryotic cells secrete a sticky mass of carbohydrates and proteins into the spaces between adjacent cells. This network of proteins and molecules is called an extracellular matrix or ECM.
Some ECM proteins assemble into a basement membrane to which the remaining components adhere. Proteoglycans typically form the bulk of the ECM while fibrous proteins, like collagen,...
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Cell-matrix's Response to Mechanical Forces01:13

Cell-matrix's Response to Mechanical Forces

In animal cells, the extracellular matrix allows cells within tissues to withstand external stresses and transmits signals from the outside of the cell to the inside. The extracellular matrix is extensive, and its composition varies between different types of tissues. For example, the reticular fibers and ground substance make up the ECM in loose connective tissue, while collagen and bone minerals make up the ECM of bone tissue. 
Anchoring junctions mechanically attach a cell to the...

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Related Experiment Video

Updated: Jun 22, 2026

Analyzing Cell Surface Adhesion Remodeling in Response to Mechanical Tension Using Magnetic Beads
07:55

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

Published on: March 8, 2017

Robustness of integrin signaling network.

Mark Kness1, Ge Wang, Muhammad H Zaman

  • 1Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.

The Journal of Chemical Physics
|June 25, 2009
PubMed
Summary

This study reveals the integrin signaling network is robust, reaching a consistent final state regardless of starting conditions. However, the pathway to this state depends on initial cellular signals.

Area of Science:

  • Cellular Biology
  • Systems Biology
  • Computational Biology

Background:

  • Integrin signaling regulates critical cellular processes like survival and death.
  • Previous studies focused on individual components, lacking a quantitative network-level understanding.
  • Network robustness and information flow remain uncharacterized.

Purpose of the Study:

  • To quantitatively characterize the robustness and information flow within the integrin signaling network.
  • To model the network's behavior using a probability-based approach.
  • To investigate the influence of initial conditions on network dynamics.

Main Methods:

  • Developed a probability-based computational model.
  • Implemented the model using GRID computing for large-scale analysis.

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

Published on: June 13, 2014

Tension Gauge Tether Probes for Quantifying Growth Factor Mediated Integrin Mechanics and Adhesion
09:56

Tension Gauge Tether Probes for Quantifying Growth Factor Mediated Integrin Mechanics and Adhesion

Published on: February 11, 2022

Related Experiment Videos

Last Updated: Jun 22, 2026

Analyzing Cell Surface Adhesion Remodeling in Response to Mechanical Tension Using Magnetic Beads
07:55

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

Published on: March 8, 2017

Static Adhesion Assay for the Study of Integrin Activation in T Lymphocytes
09:14

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

Published on: June 13, 2014

Tension Gauge Tether Probes for Quantifying Growth Factor Mediated Integrin Mechanics and Adhesion
09:56

Tension Gauge Tether Probes for Quantifying Growth Factor Mediated Integrin Mechanics and Adhesion

Published on: February 11, 2022

  • Analyzed a reduced integrin signaling network.
  • Main Results:

    • The integrin signaling network exhibits high robustness.
    • The final steady state of the network is independent of initial configurations.
    • The information flow pathway is critically dependent on the state of input nodes.
    • A rugged funnel-like landscape governs the network dynamics.

    Conclusions:

    • The integrin signaling network possesses a unique, robust final state.
    • Dynamic pathways to this state are sensitive to initial conditions and input node states.
    • This provides a quantitative framework for understanding complex signaling networks.