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Related Concept Videos

Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Many receptor binding ligands are hydrophilic; they do not cross the cell membrane but bind to cell-surface receptors. Thus, their message must be relayed by second messengers present in the cell cytoplasm. There are several second messenger pathways, each with its own way of relaying information. For example, the G protein-coupled receptors can activate both phosphoinositol and cyclic AMP (cAMP) second messenger pathways. The phosphoinositol pathway is active when the receptor induces...
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Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
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Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional (x, y, z, and λ) Hyperspectral FRET Imaging and Analysis
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A mathematical analysis of second messenger compartmentalization.

Wen Chen1, Herbert Levine, Wouter-Jan Rappel

  • 1Department of Physics, Center for Theoretical Biological Physics, University of California at San Diego, La Jolla, CA 92093-0374, USA.

Physical Biology
|December 17, 2008
PubMed
Summary

Cellular signaling specificity relies on compartmentalized cyclic adenosine monophosphate (cAMP). Localizing phosphodiesterases (PDEs) near cAMP sources creates functional microdomains with realistic enzyme concentrations.

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Area of Science:

  • Cellular and Molecular Biology
  • Biophysics
  • Biochemistry

Background:

  • Intracellular second messengers, like cyclic adenosine monophosphate (cAMP), form microdomains for signaling specificity.
  • Phosphodiesterases (PDEs) degrade cAMP, influencing its concentration gradients.
  • Spatial separation of cAMP sources and PDE activity is a proposed mechanism for microdomain formation.

Purpose of the Study:

  • To quantify how spatial distribution of phosphodiesterases (PDEs) affects cyclic adenosine monophosphate (cAMP) microdomain formation.
  • To determine the physiological plausibility of PDE localization for creating cAMP signaling compartments.

Main Methods:

  • Mathematical modeling of cAMP diffusion and degradation in simplified 2D and 3D geometries.
  • Derivation of analytical steady-state solutions for cAMP concentration.
  • Validation using direct numerical simulations.

Main Results:

  • Elevating degradation constants globally (except near the source) requires unphysiologically high PDE concentrations.
  • Localized PDE activity near the cAMP source can establish functional microdomains.
  • Steady-state cAMP concentrations are reached within physiologically relevant timescales.

Conclusions:

  • Localized PDE activity is a viable mechanism for generating cAMP microdomains.
  • This mechanism allows for signaling specificity without requiring excessively high overall PDE levels.
  • Spatial organization of enzymes is crucial for precise cellular signaling.