| Literature DB >> 28639170 |
Andy Jenkins1, Matthew Macauley2.
Abstract
The lactose operon in Escherichia coli was the first known gene regulatory network, and it is frequently used as a prototype for new modeling paradigms. Historically, many of these modeling frameworks use differential equations. More recently, Stigler and Veliz-Cuba proposed a Boolean model that captures the bistability of the system and all of the biological steady states. In this paper, we model the well-known arabinose operon in E. coli with a Boolean network. This has several complex features not found in the lac operon, such as a protein that is both an activator and repressor, a DNA looping mechanism for gene repression, and the lack of inducer exclusion by glucose. For 11 out of 12 choices of initial conditions, we use computational algebra and Sage to verify that the state space contains a single fixed point that correctly matches the biology. The final initial condition, medium levels of arabinose and no glucose, successfully predicts the system's bistability. Finally, we compare the state space under synchronous and asynchronous update and see that the former has several artificial cycles that go away under a general asynchronous update.Entities:
Keywords: Ara operon; Arabinose; Asynchronous; Bistability; Boolean model; DNA looping; Fixed points; Gene regulatory network; Gröbner basis; Inducer exclusion
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Year: 2017 PMID: 28639170 DOI: 10.1007/s11538-017-0306-1
Source DB: PubMed Journal: Bull Math Biol ISSN: 0092-8240 Impact factor: 1.758