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Related Concept Videos

Intracellular Signaling Cascades01:24

Intracellular Signaling Cascades

Once a ligand binds to a receptor, the signal is transmitted through the membrane and into the cytoplasm. The continuation of a signal in this manner is called signal transduction. Signal transduction only occurs with cell-surface receptors, which cannot interact with most components of the cell, such as DNA. Only internal receptors can interact directly with DNA in the nucleus to initiate protein synthesis. When a ligand binds to its receptor, conformational changes occur that affect the...
What is Cell Signaling?02:03

What is 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 to respond to the environment.
What is Cell Signaling?02:03

What is 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 to respond to the environment.
Overview of Cell Signaling01:23

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...
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...
Overview of Cell Signaling01:23

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...

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Related Experiment Video

Updated: May 9, 2026

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Cell-signalling dynamics in time and space.

Boris N Kholodenko1

  • 1Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, 1020 Locust Street, Philadelphia, Pennsylvania 19107, USA. Boris.Kholodenko@jefferson.edu

Nature Reviews. Molecular Cell Biology
|February 17, 2006
PubMed
Summary
This summary is machine-generated.

Cellular responses depend on how signaling networks change in space and time. Computational models help understand how cells amplify signals, reduce noise, and create complex dynamics like oscillations.

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Last Updated: May 9, 2026

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Area of Science:

  • Cellular biology
  • Systems biology
  • Computational modeling

Background:

  • Cellular responses to stimuli are crucial for biological functions.
  • The spatial and temporal dynamics of signaling networks encode cellular specificity.
  • Understanding these dynamics is key to deciphering cellular behavior.

Purpose of the Study:

  • To investigate the role of spatial and temporal signaling dynamics in cellular responses.
  • To explore how computational models can elucidate complex signaling mechanisms.
  • To understand signal amplification, noise reduction, and pattern generation in cellular networks.

Main Methods:

  • Utilizing computational modeling to simulate signaling networks.
  • Analyzing the relationship between stimuli and cellular responses.
  • Investigating spatial gradients and temporal dynamics of intracellular signaling.

Main Results:

  • Demonstrated that spatial and temporal signaling dynamics dictate cellular response specificity.
  • Revealed mechanisms of signal amplification and noise reduction within signaling networks.
  • Identified the generation of bistable dynamics and oscillations as key regulatory processes.

Conclusions:

  • Spatial and temporal signaling dynamics are fundamental to cellular information processing.
  • Computational models are powerful tools for understanding intricate cellular signaling.
  • These dynamics regulate critical cellular functions, including signal propagation and response generation.