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Related Concept Videos

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...
Network Function of a Circuit01:25

Network Function of a Circuit

Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
Types of Signaling Molecules01:32

Types of Signaling Molecules

In multicellular organisms, many molecules transmit signals between cells to pass information. These signals vary in complexity and include small peptides, nucleotides, steroids, fatty acid derivatives, and dissolved gases such as nitric oxide. Some signaling molecules diffuse through the plasma membrane to act locally between neighboring cells or travel long distances. Others remain attached to the cell surface, transmitting information to other cells only when they make contact. In some...
Types of Signaling Molecules01:32

Types of Signaling Molecules

In multicellular organisms, many molecules transmit signals between cells to pass information. These signals vary in complexity and include small peptides, nucleotides, steroids, fatty acid derivatives, and dissolved gases such as nitric oxide. Some signaling molecules diffuse through the plasma membrane to act locally between neighboring cells or travel long distances. Others remain attached to the cell surface, transmitting information to other cells only when they make contact. In some...
Signal Transduction: Overview01:26

Signal Transduction: Overview

Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk.
Typically, signal transduction involves three...
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,...

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Related Experiment Video

Updated: May 7, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

The relationship between modularity and robustness in signalling networks.

Tien-Dzung Tran1, Yung-Keun Kwon

  • 1Complex Systems Computing Lab, School of Computer Engineering and Information Technology, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 680-749, South Korea.

Journal of the Royal Society, Interface
|September 20, 2013
PubMed
Summary

Biological network robustness is negatively correlated with modularity. Dynamically similar genes, often linked to the same disease, are found within the same network modules, impacting network stability.

Keywords:
modularityrobustnesssignalling networks

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Area of Science:

  • Systems Biology
  • Network Science
  • Computational Biology

Background:

  • Biological networks exhibit high modularity and robustness against perturbations.
  • The interplay between network modularity and robustness remains poorly understood.

Purpose of the Study:

  • To investigate the relationship between network modularity and robustness in biological systems.
  • To explore the underlying mechanisms driving this relationship.

Main Methods:

  • Analysis of real biological signaling networks.
  • Simulations using a random Boolean network model.

Main Results:

  • A negative correlation was observed between network robustness and network modularity.
  • This negative correlation intensified in sparser networks.
  • Nodes within the same module as a perturbed node showed increased sensitivity to perturbations, suggesting functional similarity.

Conclusions:

  • Dynamically similar biological network nodes tend to reside within the same module.
  • Genes associated with the same disease or functional similarity are often co-localized within human signaling network modules.