Literature DB >> 28639170

Bistability and Asynchrony in a Boolean Model of the L-arabinose Operon in Escherichia coli.

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

Mesh:

Substances:

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


  4 in total

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Journal:  Sci Rep       Date:  2019-04-29       Impact factor: 4.379

2.  Conserved principles of transcriptional networks controlling metabolic flexibility in archaea.

Authors:  Amy K Schmid
Journal:  Emerg Top Life Sci       Date:  2018-12-14

3.  Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-Class Classification with a Convolutional Neural Network.

Authors:  Hyobin Kim; Stalin Muñoz; Pamela Osuna; Carlos Gershenson
Journal:  Entropy (Basel)       Date:  2020-09-04       Impact factor: 2.524

4.  Computational Modeling of Oxidative Stress in Fatty Livers Elucidates the Underlying Mechanism of the Increased Susceptibility to Ischemia/Reperfusion Injury.

Authors:  Jana Schleicher; Uta Dahmen
Journal:  Comput Struct Biotechnol J       Date:  2018-11-01       Impact factor: 7.271

  4 in total

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