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    Systems approaches for synthetic biology: a pathway toward mammalian design

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    Author
    Rekhi, Rahul; Qutub, Amina A.
    Date
    2013
    Abstract
    We review methods of understanding cellular interactions through computation in order to guide the synthetic design of mammalian cells for translational applications, such as regenerative medicine and cancer therapies. In doing so, we argue that the challenges of engineering mammalian cells provide a prime opportunity to leverage advances in computational systems biology. We support this claim systematically, by addressing each of the principal challenges to existing synthetic bioengineering approaches—stochasticity, complexity, and scale—with specific methods and paradigms in systems biology. Moreover, we characterize a key set of diverse computational techniques, including agent-based modeling, Bayesian network analysis, graph theory, and Gillespie simulations, with specific utility toward synthetic biology. Lastly, we examine the mammalian applications of synthetic biology for medicine and health, and how computational systems biology can aid in the continued development of these applications.
    Citation
    Rekhi, Rahul and Qutub, Amina A.. "Systems approaches for synthetic biology: a pathway toward mammalian design." Frontiers in Physiology, 4, (2013) Frontiers Media: http://dx.doi.org/10.3389/fphys.2013.00285.
    Published Version
    http://dx.doi.org/10.3389/fphys.2013.00285
    Keyword
    systems biology; synthetic biology; mammalian cell; computational biology; regenerative medicine; More... gene circuits; signaling network; multiscale modeling Less...
    Type
    Journal article
    Publisher
    Frontiers Media
    Citable link to this page
    https://hdl.handle.net/1911/78906
    Rights
    This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
    Link to License
    https://creativecommons.org/licenses/by/3.0/
    Metadata
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    • Bioengineering Publications [632]
    • Faculty Publications [4988]

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    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map