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Published November 27, 2012 | Supplemental Material + Published
Journal Article Open

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

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.

Additional Information

© 2012 National Academy of Sciences. Edited by Eric D. Siggia, The Rockefeller University, New York, NY, and approved September 7, 2012 (received for review July 16, 2012). Published online before print November 12, 2012. We thank Louis Romero for mathematical modeling insights and Rochelle Diamond and Josh Verceles for assistance with flow cytometry. We are grateful to the laboratory of Christina Smolke and to Murat Acar for providing yeast strains used in this study. This research project was supported by the Institute for Collaborative Biotechnologies through Grant W911NF-09-0001 from the US Army Research Office. Author contributions: O.S.V., H.E.-S., and R.M.M. designed research; O.S.V. performed research; O.S.V. analyzed data; and O.S.V., H.E.-S., and R.M.M. wrote the paper.

Attached Files

Published - PNAS-2012-Venturelli-E3324-33.pdf

Supplemental Material - pnas.201211902SI.pdf

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August 22, 2023
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