Literature DB >> 19905667

Maximum likelihood and the single receptor.

Robert G Endres1, Ned S Wingreen.   

Abstract

The accuracy by which biological cells sense chemical concentration is ultimately limited by the random arrival of particles at the receptors by diffusion. This fundamental physical limit is generally considered to be the Berg-Purcell limit [Biophys. J. 20, 193 (1977)]. Here we derive a lower limit by applying maximum likelihood to the time series of receptor occupancy. The increased accuracy stems from solely considering the unoccupied time intervals--disregarding the occupied time intervals as these do not contain any information about the external particle concentration, and only decrease the accuracy of the concentration estimate. Receptors which minimize the bound time intervals achieve the highest possible accuracy. We discuss how a cell could implement such an optimal sensing strategy by absorbing or degrading bound particles.

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Year:  2009        PMID: 19905667     DOI: 10.1103/PhysRevLett.103.158101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  30 in total

1.  Noise effects in nonlinear biochemical signaling.

Authors:  Neda Bostani; David A Kessler; Nadav M Shnerb; Wouter-Jan Rappel; Herbert Levine
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-01-03

2.  Physical limits on cellular sensing of spatial gradients.

Authors:  Bo Hu; Wen Chen; Wouter-Jan Rappel; Herbert Levine
Journal:  Phys Rev Lett       Date:  2010-07-23       Impact factor: 9.161

3.  Decisions on the fly in cellular sensory systems.

Authors:  Eric D Siggia; Massimo Vergassola
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-09       Impact factor: 11.205

4.  How receptor diffusion influences gradient sensing.

Authors:  H Nguyen; P Dayan; G J Goodhill
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

5.  Chemodetection in fluctuating environments: receptor coupling, buffering, and antagonism.

Authors:  Jean-Benoît Lalanne; Paul François
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-26       Impact factor: 11.205

6.  Optimal resource allocation in cellular sensing systems.

Authors:  Christopher C Govern; Pieter Rein Ten Wolde
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-24       Impact factor: 11.205

7.  Energetic costs of cellular computation.

Authors:  Pankaj Mehta; David J Schwab
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-08       Impact factor: 11.205

8.  The Berg-Purcell limit revisited.

Authors:  Kazunari Kaizu; Wiet de Ronde; Joris Paijmans; Koichi Takahashi; Filipe Tostevin; Pieter Rein ten Wolde
Journal:  Biophys J       Date:  2014-02-18       Impact factor: 4.033

9.  How input noise limits biochemical sensing in ultrasensitive systems.

Authors:  Bo Hu; Wouter-Jan Rappel; Herbert Levine
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-09-05

10.  Cell-to-cell variation sets a tissue-rheology-dependent bound on collective gradient sensing.

Authors:  Brian A Camley; Wouter-Jan Rappel
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-07       Impact factor: 11.205

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