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Positive feedback regulation results in spatial clustering and fast spreading of active signaling molecules on a cell membrane
- Source :
- The Journal of Chemical Physics. 130:245102
- Publication Year :
- 2009
- Publisher :
- AIP Publishing, 2009.
-
Abstract
- Positive feedback regulation is ubiquitous in cell signaling networks, often leading to binary outcomes in response to graded stimuli. However, the role of such feedbacks in clustering, and in spatial spreading of activated molecules, has come to be appreciated only recently. We focus on the latter, using a simple model developed in the context of Ras activation with competing negative and positive feedback mechanisms. We find that positive feedback, in the presence of slow diffusion, results in clustering of activated molecules on the plasma membrane, and rapid spatial spreading as the front of the cluster propagates with a constant velocity (dependent on the feedback strength). The advancing fronts of the clusters of the activated species are rough, with scaling consistent with the Kardar-Parisi-Zhang (KPZ) equation in one dimension. Our minimal model is general enough to describe signal transduction in a wide variety of biological networks where activity in the membrane-proximal region is subject to feedback regulation.<br />37 pages, 8 figures. Journal of Chemical Physics (in press)
- Subjects :
- Cell signaling
Molecular Networks (q-bio.MN)
FOS: Physical sciences
General Physics and Astronomy
Context (language use)
Condensed Matter - Soft Condensed Matter
Models, Biological
Diffusion
Cell membrane
Physics - Chemical Physics
medicine
Computer Simulation
Quantitative Biology - Molecular Networks
Physical and Theoretical Chemistry
Cluster analysis
Positive feedback
Chemical Physics (physics.chem-ph)
Feedback, Physiological
Physics
Biological Molecules, Biopolymers, and Biological Systems
Cell Membrane
Molecular biophysics
Enzyme Activation
medicine.anatomical_structure
FOS: Biological sciences
ras Proteins
Soft Condensed Matter (cond-mat.soft)
Signal transduction
Biological system
Monte Carlo Method
Biological network
Signal Transduction
Subjects
Details
- ISSN :
- 10897690 and 00219606
- Volume :
- 130
- Database :
- OpenAIRE
- Journal :
- The Journal of Chemical Physics
- Accession number :
- edsair.doi.dedup.....0e093eb5a989d109d42e007cd78b6ed5
- Full Text :
- https://doi.org/10.1063/1.3149861