Literature DB >> 23150580

Synergistic dual positive feedback loops established by molecular sequestration generate robust bimodal response.

Ophelia S Venturelli1, Hana El-Samad, Richard M Murray.   

Abstract

Feedback loops are ubiquitous features of biological networks and can produce significant phenotypic heterogeneity, including a bimodal distribution of gene expression across an isogenic cell population. In this work, a combination of experiments and computational modeling was used to explore the roles of multiple feedback loops in the bimodal, switch-like response of the Saccharomyces cerevisiae galactose regulatory network. Here, we show that bistability underlies the observed bimodality, as opposed to stochastic effects, and that two unique positive feedback loops established by Gal1p and Gal3p, which both regulate network activity by molecular sequestration of Gal80p, induce this bimodality. Indeed, systematically scanning through different single and multiple feedback loop knockouts, we demonstrate that there is always a concentration regime that preserves the system's bimodality, except for the double deletion of GAL1 and the GAL3 feedback loop, which exhibits a graded response for all conditions tested. The constitutive production rates of Gal1p and Gal3p operate as bifurcation parameters because variations in these rates can also abolish the system's bimodal response. Our model indicates that this second loss of bistability ensues from the inactivation of the remaining feedback loop by the overexpressed regulatory component. More broadly, we show that the sequestration binding affinity is a critical parameter that can tune the range of conditions for bistability in a circuit with positive feedback established by molecular sequestration. In this system, two positive feedback loops can significantly enhance the region of bistability and the dynamic response time.

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Year:  2012        PMID: 23150580      PMCID: PMC3511703          DOI: 10.1073/pnas.1211902109

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


  45 in total

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Authors:  J F Tschopp; S D Emr; C Field; R Schekman
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8.  Genetic and biochemical characterization of the galactose gene cluster in Kluyveromyces lactis.

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9.  Gal3p and Gal1p interact with the transcriptional repressor Gal80p to form a complex of 1:1 stoichiometry.

Authors:  David J Timson; Helen C Ross; Richard J Reece
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10.  Disruption of regulatory gene GAL80 in Saccharomyces cerevisiae: effects on carbon-controlled regulation of the galactose/melibiose pathway genes.

Authors:  T E Torchia; R W Hamilton; C L Cano; J E Hopper
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  20 in total

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2.  Stability of Systems with Stochastic Delays and Applications to Genetic Regulatory Networks.

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Review 3.  The yeast galactose network as a quantitative model for cellular memory.

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Journal:  Mol Biosyst       Date:  2014-10-20

4.  Galactose metabolic genes in yeast respond to a ratio of galactose and glucose.

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-20       Impact factor: 11.205

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Journal:  Nucleic Acids Res       Date:  2015-09-17       Impact factor: 16.971

6.  Single-Molecule Imaging Reveals a Switch between Spurious and Functional ncRNA Transcription.

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7.  A Tug-of-War Mechanism for Pattern Formation in a Genetic Network.

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Journal:  ACS Synth Biol       Date:  2017-08-15       Impact factor: 5.110

8.  Population diversification in a yeast metabolic program promotes anticipation of environmental shifts.

Authors:  Ophelia S Venturelli; Ignacio Zuleta; Richard M Murray; Hana El-Samad
Journal:  PLoS Biol       Date:  2015-01-27       Impact factor: 8.029

9.  Effects of promoter leakage on dynamics of gene expression.

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Journal:  BMC Syst Biol       Date:  2015-03-21

10.  A cell size- and cell cycle-aware stochastic model for predicting time-dynamic gene network activity in individual cells.

Authors:  Ruijie Song; Weilin Peng; Ping Liu; Murat Acar
Journal:  BMC Syst Biol       Date:  2015-12-09
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