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Spatial range of autocrine signaling: modeling and computational analysis
S Y Shvartsman1, H S Wiley, W M Deen
1Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Biophysical Journal
|September 22, 2001
Summary
Autocrine signaling loops, crucial in development and disease, are challenging to study. Our models reveal how molecular factors control their spatial range, enabling cells to sense their environment.
Area of Science:
- Cell biology
- Biophysics
- Systems biology
Background:
- Autocrine loops, where cells signal to themselves via secreted factors, are vital in many biological processes.
- The complex spatial dynamics of autocrine signaling hinder experimental analysis and detection.
Purpose of the Study:
- To develop a theoretical framework for analyzing the spatial operation of autocrine loops.
- To investigate how molecular and cellular parameters influence the range of autocrine signaling.
Main Methods:
- Integration of Brownian motion theory, Monte Carlo simulations, and reaction-diffusion models.
- Quantitative analysis relating ligand diffusion, receptor density, secretion rates, and binding/internalization kinetics.
Main Results:
- Autocrine loops can operate at the single-cell level, demonstrating high localization.
- Molecular and cellular parameter variations enable tuning of autocrine signal range across orders of magnitude (microns to millimeters).
Conclusions:
- Autocrine signaling spatial range is dynamically regulated by molecular and cellular properties.
- This tunable signaling mechanism allows cells to effectively perceive diverse environmental cues.
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