English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Modeling self-organized spatio-temporal patterns of PIP3 and PTEN during spontaneous cell polarization

Knoch, F., Tarantola, M., Bodenschatz, E., & Rappel, W.-J. (2014). Modeling self-organized spatio-temporal patterns of PIP3 and PTEN during spontaneous cell polarization. Physical Biology, 11, 046002-1-046002-8. doi:10.1088/1478-3975/11/4/046002.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-0F21-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-0F22-6
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Knoch, Fabian1, Author              
Tarantola, Marco1, Author              
Bodenschatz, Eberhard1, Author              
Rappel, Woulter-Jan, Author
Affiliations:
1Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063287              

Content

show
hide
Free keywords: chemotaxis, polarization, modeling
 Abstract: During spontaneous cell polarization of Dictyostelium discoideum cells, phosphatidylinositol (3,4,5)-triphoshpate (PIP3) and PTEN (phosphatase tensin homolog) have been identified as key signaling molecules which govern the process of polarization in a self-organized manner. Recent experiments have quantified the spatio-temporal dynamics of these signaling components. Surprisingly, it was found that membrane-bound PTEN can be either in a high or low state, that PIP3 waves were initiated in areas lacking PTEN through an excitable mechanism, and that PIP3 was degraded even though the PTEN concentration remained low. Here we develop a reaction-diffusion model that aims to explain these experimental findings. Our model contains bistable dynamics for PTEN, excitable dynamics for PIP3, and postulates the existence of two species of PTEN with different dephosphorylation rates. We show that our model is able to produce results that are in good qualitative agreement with the experiments, suggesting that our reaction-diffusion model underlies the self-organized spatio-temporal patterns observed in experiments.

Details

show
hide
Language(s): eng - English
 Dates: 2014-07-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 702115
DOI: 10.1088/1478-3975/11/4/046002
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Physical Biology
  Alternative Title : Phys. Biol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 11 Sequence Number: - Start / End Page: 046002-1 - 046002-8 Identifier: -