Literature DB >> 22680494

Optimizing information flow in small genetic networks. III. A self-interacting gene.

Gašper Tkačik1, Aleksandra M Walczak, William Bialek.   

Abstract

Living cells must control the reading out or "expression" of information encoded in their genomes, and this regulation often is mediated by transcription factors--proteins that bind to DNA and either enhance or repress the expression of nearby genes. But the expression of transcription factor proteins is itself regulated, and many transcription factors regulate their own expression in addition to responding to other input signals. Here we analyze the simplest of such self-regulatory circuits, asking how parameters can be chosen to optimize information transmission from inputs to outputs in the steady state. Some nonzero level of self-regulation is almost always optimal, with self-activation dominant when transcription factor concentrations are low and self-repression dominant when concentrations are high. In steady state the optimal self-activation is never strong enough to induce bistability, although there is a limit in which the optimal parameters are very close to the critical point.

Mesh:

Substances:

Year:  2012        PMID: 22680494     DOI: 10.1103/PhysRevE.85.041903

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  21 in total

1.  Information processing in the adaptation of Saccharomyces cerevisiae to osmotic stress: an analysis of the phosphorelay system.

Authors:  Friedemann Uschner; Edda Klipp
Journal:  Syst Synth Biol       Date:  2014-04-19

2.  Positional information, in bits.

Authors:  Julien O Dubuis; Gasper Tkacik; Eric F Wieschaus; Thomas Gregor; William Bialek
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-02       Impact factor: 11.205

Review 3.  Information processing in bacteria: memory, computation, and statistical physics: a key issues review.

Authors:  Ganhui Lan; Yuhai Tu
Journal:  Rep Prog Phys       Date:  2016-04-08

4.  Cross talk and interference enhance information capacity of a signaling pathway.

Authors:  Sahand Hormoz
Journal:  Biophys J       Date:  2013-03-05       Impact factor: 4.033

5.  Transcription factor binding kinetics constrain noise suppression via negative feedback.

Authors:  Andreas Grönlund; Per Lötstedt; Johan Elf
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

6.  Noise and information transmission in promoters with multiple internal States.

Authors:  Georg Rieckh; Gašper Tkačik
Journal:  Biophys J       Date:  2014-03-04       Impact factor: 4.033

7.  Morphogenesis at criticality.

Authors:  Dmitry Krotov; Julien O Dubuis; Thomas Gregor; William Bialek
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-10       Impact factor: 11.205

Review 8.  Noise in biology.

Authors:  Lev S Tsimring
Journal:  Rep Prog Phys       Date:  2014-01-20

9.  Statistical mechanics of Monod-Wyman-Changeux (MWC) models.

Authors:  Sarah Marzen; Hernan G Garcia; Rob Phillips
Journal:  J Mol Biol       Date:  2013-03-14       Impact factor: 5.469

10.  The information theory of individuality.

Authors:  David Krakauer; Nils Bertschinger; Eckehard Olbrich; Jessica C Flack; Nihat Ay
Journal:  Theory Biosci       Date:  2020-03-24       Impact factor: 1.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.