Document Detail

How geometry and internal bias affect the accuracy of eukaryotic gradient sensing.
MedLine Citation:
PMID:  21405873     Owner:  NLM     Status:  MEDLINE    
Many motile eukaryotic cells determine their direction by measuring external chemical gradients through the binding of ligands to membrane bound receptors. This process is limited by fluctuations arising from the binding process and from the diffusion of the ligand molecules. Here, we apply estimation-theoretic methods to determine the physical limits of gradient sensing for cells that are noncircular and for cells that have an internal bias. Specifically, we derive theoretical expressions for the accuracy of gradient sensing in elliptical cells. This accuracy for highly elliptical cells can significantly deviate from the gradient sensing limits derived for circular cells. Furthermore, we find that a cell cannot improve its sensing of the gradient steepness and direction simultaneously by elongating its cell body. Finally, we derive a lower bound on the accuracy of gradient sensing for cells that possess an internal bias and compare our analytical results with recent experimental findings.
Bo Hu; Wen Chen; Wouter-Jan Rappel; Herbert Levine
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2011-02-28
Journal Detail:
Title:  Physical review. E, Statistical, nonlinear, and soft matter physics     Volume:  83     ISSN:  1550-2376     ISO Abbreviation:  Phys Rev E Stat Nonlin Soft Matter Phys     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-03-16     Completed Date:  2011-07-11     Revised Date:  2014-08-18    
Medline Journal Info:
Nlm Unique ID:  101136452     Medline TA:  Phys Rev E Stat Nonlin Soft Matter Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  021917     Citation Subset:  IM    
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MeSH Terms
Cell Size*
Chemotaxis / physiology*
Computer Simulation
Eukaryotic Cells / physiology*
Models, Biological*
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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