How slaves affect a master module in gene transcription networks

Andras Gyorgy, Domitilla Del Vecchio

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    One of the major challenges in systems and synthetic biology is the lack of modular composition. Modules change their behavior once connected, due to retroactivity. In this paper, we build upon our earlier results and provide a theorem establishing how the dynamics of a master module change once slave modules are present. We quantify the change in the dynamics of the master module due to interconnection as a function of measurable biochemical parameters. Based on this, we provide a bound on the difference between the trajectories of the connected system and those of the isolated system by employing contraction theory. Therefore, we obtain a measure of robustness, which helps evaluating the degree of modularity in a system, while providing guidelines for robust module design. We illustrate the results by considering a recurring motif in gene transcription networks: An autorepressed gene regulating the expression of several downstream targets.

    Original languageEnglish (US)
    Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages6561-6567
    Number of pages7
    ISBN (Print)9781467357173
    DOIs
    StatePublished - Jan 1 2013
    Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
    Duration: Dec 10 2013Dec 13 2013

    Other

    Other52nd IEEE Conference on Decision and Control, CDC 2013
    CountryItaly
    CityFlorence
    Period12/10/1312/13/13

    Fingerprint

    Transcription
    Genes
    Gene
    Module
    Trajectories
    Synthetic Biology
    Chemical analysis
    Systems Biology
    Modularity
    Interconnection
    Contraction
    Quantify
    Trajectory
    Robustness
    Target
    Theorem

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Modeling and Simulation
    • Control and Optimization

    Cite this

    Gyorgy, A., & Del Vecchio, D. (2013). How slaves affect a master module in gene transcription networks. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013 (pp. 6561-6567). [6760927] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2013.6760927

    How slaves affect a master module in gene transcription networks. / Gyorgy, Andras; Del Vecchio, Domitilla.

    2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 6561-6567 6760927.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Gyorgy, A & Del Vecchio, D 2013, How slaves affect a master module in gene transcription networks. in 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013., 6760927, Institute of Electrical and Electronics Engineers Inc., pp. 6561-6567, 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, 12/10/13. https://doi.org/10.1109/CDC.2013.6760927
    Gyorgy A, Del Vecchio D. How slaves affect a master module in gene transcription networks. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc. 2013. p. 6561-6567. 6760927 https://doi.org/10.1109/CDC.2013.6760927
    Gyorgy, Andras ; Del Vecchio, Domitilla. / How slaves affect a master module in gene transcription networks. 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 6561-6567
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