Medical Journals

Directional Sensing in Eukaryotic Chemotaxis: a Balanced Inactivation Model.

Authors:
  • Levine Herbert
  • Kessler David A
  • Rappel Wouter-Jan

From: Center for Theoretical Biological Physics, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

Proceedings of the National Academy of Sciences of the United States of America

  • Publish Date: Jun 2006
  • ISSN: 0027-8424
  • Volume: 103
  • Issue: 26
  • Pages: 9761-6
  • Medium: Print
  • Language: English
  • Citation (JAMA): Levine Herbert, Kessler David A, Rappel Wouter-Jan, et al. Directional Sensing in Eukaryotic Chemotaxis: a Balanced Inactivation Model.. Proc. Natl. Acad. Sci. U.S.A. Jun 2006;103:9761-6

Abstract

Many eukaryotic cells, including Dictyostelium discoideum amoebae, fibroblasts, and neutrophils, are able to respond to chemoattractant gradients with high sensitivity. Recent studies have demonstrated that, after the introduction of a chemoattractant gradient, several chemotaxis pathway components exhibit a subcellular reorganization that cannot be described as a simple amplification of the external gradient. Instead, this reorganization has the characteristics of a switch, leading to a well defined front and back. Here, we propose a directional sensing mechanism in which two second messengers are produced at equal rates. The diffusion of one of them, coupled with an inactivation scheme, ensures a switch-like response to external gradients for a large range of gradient steepness and average concentration. Furthermore, our model is able to reverse the subcellular organization rapidly, and its response to multiple simultaneous chemoattractant sources is in good agreement with recent experimental results. Finally, we propose that the dynamics of a heterotrimeric G protein might allow for a specific biochemical realization of our model.

Mesh Headings (Keywords): Animals, Chemotaxis, Dictyostelium, Fibroblasts, Models, Biological, Neutrophils


Check for Full Text / PubMed Unique Identifier (PMID): 16782813


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

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The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


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