Literature DB >> 25624502

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

Jean-Benoît Lalanne1, Paul François2.   

Abstract

Variability in the chemical composition of the extracellular environment can significantly degrade the ability of cells to detect rare cognate ligands. Using concepts from statistical detection theory, we formalize the generic problem of detection of small concentrations of ligands in a fluctuating background of biochemically similar ligands binding to the same receptors. We discover that in contrast with expectations arising from considerations of signal amplification, inhibitory interactions between receptors can improve detection performance in the presence of substantial environmental variability, providing an adaptive interpretation to the phenomenon of ligand antagonism. Our results suggest that the structure of signaling pathways responsible for chemodetection in fluctuating and heterogeneous environments might be optimized with respect to the statistics and dynamics of environmental composition. The developed formalism stresses the importance of characterizing nonspecific interactions to understand function in signaling pathways.

Keywords:  chemodetection; fluctuating environment; immune recognition; nonspecific interactions; statistical decision

Mesh:

Substances:

Year:  2015        PMID: 25624502      PMCID: PMC4330740          DOI: 10.1073/pnas.1420903112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

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Authors:  B N Dittel; I Stefanova; R N Germain; C A Janeway
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Authors:  Z Grossman; W E Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1992-11-01       Impact factor: 11.205

5.  Probing the limits to positional information.

Authors:  Thomas Gregor; David W Tank; Eric F Wieschaus; William Bialek
Journal:  Cell       Date:  2007-07-13       Impact factor: 41.582

6.  Maximum entropy models for antibody diversity.

Authors:  Thierry Mora; Aleksandra M Walczak; William Bialek; Curtis G Callan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-03-08       Impact factor: 11.205

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Authors:  H C Berg; E M Purcell
Journal:  Biophys J       Date:  1977-11       Impact factor: 4.033

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Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1974-10       Impact factor: 11.205

9.  Kinetic proofreading in T-cell receptor signal transduction.

Authors:  T W McKeithan
Journal:  Proc Natl Acad Sci U S A       Date:  1995-05-23       Impact factor: 11.205

10.  Modeling T cell antigen discrimination based on feedback control of digital ERK responses.

Authors:  Grégoire Altan-Bonnet; Ronald N Germain
Journal:  PLoS Biol       Date:  2005-10-25       Impact factor: 8.029

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  3 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

2.  Inferring Models of Bacterial Dynamics toward Point Sources.

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Journal:  PLoS One       Date:  2015-10-14       Impact factor: 3.240

3.  Simple biochemical networks allow accurate sensing of multiple ligands with a single receptor.

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Journal:  PLoS Comput Biol       Date:  2017-04-14       Impact factor: 4.475

  3 in total

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