Literature DB >> 22475952

Gain control in molecular information processing: lessons from neuroscience.

Ilya Nemenman1.   

Abstract

Statistical properties of environments experienced by biological signaling systems in the real world change, which necessitates adaptive responses to achieve high fidelity information transmission. One form of such adaptive response is gain control. Here, we argue that a certain simple mechanism of gain control, understood well in the context of systems neuroscience, also works for molecular signaling. The mechanism allows us to transmit more than 1 bit (on or off) of information about the signal independent of the signal variance. It does not require additional molecular circuitry beyond that already present in many molecular systems, and in particular, it does not depend on existence of feedback loops. The mechanism provides a potential explanation for abundance of ultrasensitive response curves in biological regulatory networks.

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Year:  2012        PMID: 22475952      PMCID: PMC3355474          DOI: 10.1088/1478-3975/9/2/026003

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  22 in total

1.  An ultrasensitive bacterial motor revealed by monitoring signaling proteins in single cells.

Authors:  P Cluzel; M Surette; S Leibler
Journal:  Science       Date:  2000-03-03       Impact factor: 47.728

2.  Engineering aspects of enzymatic signal transduction: photoreceptors in the retina.

Authors:  P B Detwiler; S Ramanathan; A Sengupta; B I Shraiman
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

3.  Efficiency and ambiguity in an adaptive neural code.

Authors:  A L Fairhall; G D Lewen; W Bialek; R R de Ruyter Van Steveninck
Journal:  Nature       Date:  2001-08-23       Impact factor: 49.962

4.  Structure and function of the feed-forward loop network motif.

Authors:  S Mangan; U Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-06       Impact factor: 11.205

Review 5.  IgE-mediated desensitization in human basophils and mast cells.

Authors:  D MacGlashan; S Lavens-Phillips; M Katsushi
Journal:  Front Biosci       Date:  1998-07-28

6.  The effects of background illumination on the photoresponses of red and green cones.

Authors:  R A Normann; I Perlman
Journal:  J Physiol       Date:  1979-01       Impact factor: 5.182

7.  Information transduction capacity of noisy biochemical signaling networks.

Authors:  Raymond Cheong; Alex Rhee; Chiaochun Joanne Wang; Ilya Nemenman; Andre Levchenko
Journal:  Science       Date:  2011-09-15       Impact factor: 47.728

8.  An amplified sensitivity arising from covalent modification in biological systems.

Authors:  A Goldbeter; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1981-11       Impact factor: 11.205

9.  A simple coding procedure enhances a neuron's information capacity.

Authors:  S Laughlin
Journal:  Z Naturforsch C Biosci       Date:  1981 Sep-Oct

10.  Ultrasensitivity in the mitogen-activated protein kinase cascade.

Authors:  C Y Huang; J E Ferrell
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-17       Impact factor: 11.205

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  5 in total

1.  Information Thermodynamics for Time Series of Signal-Response Models.

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2.  Heterogeneous Temporal Contrast Adaptation in Drosophila Direction-Selective Circuits.

Authors:  Catherine A Matulis; Juyue Chen; Aneysis D Gonzalez-Suarez; Rudy Behnia; Damon A Clark
Journal:  Curr Biol       Date:  2020-01-09       Impact factor: 10.834

3.  Theory for the optimal detection of time-varying signals in cellular sensing systems.

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Journal:  Elife       Date:  2021-02-17       Impact factor: 8.140

4.  Noise processing by microRNA-mediated circuits: The Incoherent Feed-Forward Loop, revisited.

Authors:  Silvia Grigolon; Francesca Di Patti; Andrea De Martino; Enzo Marinari
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5.  Variance adaptation in navigational decision making.

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Journal:  Elife       Date:  2018-11-27       Impact factor: 8.140

  5 in total

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