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Assembly of Signaling Complexes

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,...

Overview of Cell Signaling

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...

Overview of Cell Signaling

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...

Interactions Between Signaling Pathways

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...

Contact-dependent Signaling

Contact-dependent Signaling

Contact-dependent signaling, as the name suggests, requires that communicating cells be in direct contact with each other. This is achieved either through receptor-ligand interactions or by specialized cytoplasmic channels that allow the flow of small molecules between cells. In animal cells, channels called gap junctions facilitate contact-dependent signaling in certain tissues, whereas, plasmodesmata perform a similar function in plants.
Gap Junctions
In animal cells, gap junctions are formed...

Types of Signaling Molecules

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...

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Related Experiment Video

Updated: Jul 2, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

Community detection by signaling on complex networks.

Yanqing Hu¹, Menghui Li, Peng Zhang

¹Department of Systems Science, School of Management, Center for Complexity Research, Beijing Normal University, Beijing 100875, China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|September 4, 2008

Summary

This summary is machine-generated.

This study introduces a novel community detection method for complex networks using a signaling process. The algorithm effectively identifies network structures in various real-world and ad hoc networks.

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Last Updated: Jul 2, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

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Published on: August 21, 2019

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Published on: October 19, 2021

Area of Science:

Network Science
Complex Systems Analysis
Data Mining

Background:

Identifying community structures is crucial for understanding complex networks.
Existing methods may have limitations in handling diverse network types.
Network topology analysis is key to uncovering hidden group affiliations.

Purpose of the Study:

To propose a new method for community structure identification in complex networks.
To translate network topology into a geometric vector structure for analysis.
To develop a robust algorithm applicable to both unweighted and weighted networks.

Main Methods:

A signaling process where each node acts as a signal source.
Representing nodes as vectors in n-dimensional Euclidean space based on signal effects.
Utilizing F statistics for optimal group partitioning and K-means clustering for final community detection.

Main Results:

The signaling process effectively transfers network topology into a geometric vector structure.
The method successfully identifies community structures in various networks, including ad hoc, Zachary karate club, and football networks.
The algorithm demonstrates efficacy in both unweighted and weighted network scenarios.

Conclusions:

The proposed signaling process-based method is a robust approach for community detection.
This technique offers a novel way to analyze complex network structures.
The algorithm shows promising results and broad applicability in network science.