Literature DB >> 27368104

Information Integration and Energy Expenditure in Gene Regulation.

Javier Estrada1, Felix Wong2, Angela DePace1, Jeremy Gunawardena3.   

Abstract

The quantitative concepts used to reason about gene regulation largely derive from bacterial studies. We show that this bacterial paradigm cannot explain the sharp expression of a canonical developmental gene in response to a regulating transcription factor (TF). In the absence of energy expenditure, with regulatory DNA at thermodynamic equilibrium, information integration across multiple TF binding sites can generate the required sharpness, but with strong constraints on the resultant "higher-order cooperativities." Even with such integration, there is a "Hopfield barrier" to sharpness; for n TF binding sites, this barrier is represented by the Hill function with the Hill coefficient n. If, however, energy is expended to maintain regulatory DNA away from thermodynamic equilibrium, as in kinetic proofreading, this barrier can be breached and greater sharpness achieved. Our approach is grounded in fundamental physics, leads to testable experimental predictions, and suggests how a quantitative paradigm for eukaryotic gene regulation can be formulated.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27368104      PMCID: PMC4930556          DOI: 10.1016/j.cell.2016.06.012

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  32 in total

1.  Kinetic amplification of enzyme discrimination.

Authors:  J Ninio
Journal:  Biochimie       Date:  1975       Impact factor: 4.079

2.  Nucleosome-mediated cooperativity between transcription factors.

Authors:  Leonid A Mirny
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-13       Impact factor: 11.205

3.  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

Review 4.  Interactions between subunits of the Mediator complex with gene-specific transcription factors.

Authors:  Tilman Borggrefe; Xiaojing Yue
Journal:  Semin Cell Dev Biol       Date:  2011-08-04       Impact factor: 7.727

Review 5.  Eukaryotic transcriptional dynamics: from single molecules to cell populations.

Authors:  Antoine Coulon; Carson C Chow; Robert H Singer; Daniel R Larson
Journal:  Nat Rev Genet       Date:  2013-07-09       Impact factor: 53.242

6.  Sap18 is required for the maternal gene bicoid to direct anterior patterning in Drosophila melanogaster.

Authors:  Navjot Singh; Wencheng Zhu; Steven D Hanes
Journal:  Dev Biol       Date:  2005-02-01       Impact factor: 3.582

7.  Quantitative model for gene regulation by lambda phage repressor.

Authors:  G K Ackers; A D Johnson; M A Shea
Journal:  Proc Natl Acad Sci U S A       Date:  1982-02       Impact factor: 11.205

Review 8.  From DNA sequence to transcriptional behaviour: a quantitative approach.

Authors:  Eran Segal; Jonathan Widom
Journal:  Nat Rev Genet       Date:  2009-07       Impact factor: 53.242

Review 9.  Transcriptional/epigenetic regulator CBP/p300 in tumorigenesis: structural and functional versatility in target recognition.

Authors:  Feng Wang; Christopher B Marshall; Mitsuhiko Ikura
Journal:  Cell Mol Life Sci       Date:  2013-01-11       Impact factor: 9.261

10.  Models in biology: 'accurate descriptions of our pathetic thinking'.

Authors:  Jeremy Gunawardena
Journal:  BMC Biol       Date:  2014-04-30       Impact factor: 7.431

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  40 in total

1.  Diverse Spatial Expression Patterns Emerge from Unified Kinetics of Transcriptional Bursting.

Authors:  Benjamin Zoller; Shawn C Little; Thomas Gregor
Journal:  Cell       Date:  2018-10-18       Impact factor: 41.582

2.  Structural conditions on complex networks for the Michaelis-Menten input-output response.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-07       Impact factor: 11.205

3.  Negative reciprocity, not ordered assembly, underlies the interaction of Sox2 and Oct4 on DNA.

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Journal:  Elife       Date:  2019-02-14       Impact factor: 8.140

4.  Quantitative dissection of transcription in development yields evidence for transcription-factor-driven chromatin accessibility.

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Journal:  Elife       Date:  2020-10-19       Impact factor: 8.140

5.  Steady-State Differential Dose Response in Biological Systems.

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Journal:  Biophys J       Date:  2018-02-06       Impact factor: 4.033

6.  Stochastic dynamics of genetic broadcasting networks.

Authors:  Davit A Potoyan; Peter G Wolynes
Journal:  Phys Rev E       Date:  2017-11-03       Impact factor: 2.529

7.  Efficient manipulation and generation of Kirchhoff polynomials for the analysis of non-equilibrium biochemical reaction networks.

Authors:  Pencho Yordanov; Jörg Stelling
Journal:  J R Soc Interface       Date:  2020-04-22       Impact factor: 4.118

8.  Nucleosomal proofreading of activator-promoter interactions.

Authors:  Robert Shelansky; Hinrich Boeger
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-21       Impact factor: 11.205

9.  A mechanism for hunchback promoters to readout morphogenetic positional information in less than a minute.

Authors:  Jonathan Desponds; Massimo Vergassola; Aleksandra M Walczak
Journal:  Elife       Date:  2020-07-29       Impact factor: 8.140

10.  A stochastic epigenetic switch controls the dynamics of T-cell lineage commitment.

Authors:  Kenneth Kh Ng; Mary A Yui; Arnav Mehta; Sharmayne Siu; Blythe Irwin; Shirley Pease; Satoshi Hirose; Michael B Elowitz; Ellen V Rothenberg; Hao Yuan Kueh
Journal:  Elife       Date:  2018-11-20       Impact factor: 8.140

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