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    Engineering and modeling of multicellular morphologies and patterns

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    Name:
    Kim_Riedel_Kruse_2020.pdf
    Size:
    8.563Mb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
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    Author
    Kim, Honesty
    Jin, Xiaofan
    Glass, David S
    Riedel-Kruse, Ingmar H
    Affiliation
    Univ Arizona, Dept Mol & Cellular Biol
    Issue Date
    2020-07-03
    
    Metadata
    Show full item record
    Publisher
    CURRENT BIOLOGY LTD
    Citation
    Kim, H., Jin, X., Glass, D. S., & Riedel-Kruse, I. H. (2020). Engineering and modeling of multicellular morphologies and patterns. Current opinion in genetics & development, 63, 95-102.
    Journal
    Current opinion in genetics & development
    Rights
    Copyright © 2020 Elsevier Ltd. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Synthetic multicellular (MC) systems have the capacity to increase our understanding of biofilms and higher organisms, and to serve as engineering platforms for developing complex products in the areas of medicine, biosynthesis and smart materials. Here we provide an interdisciplinary perspective and review on emerging approaches to engineer and model MC systems. We lay out definitions for key terms in the field and identify toolboxes of standardized parts which can be combined into various MC algorithms to achieve specific outcomes. Many essential parts and algorithms have been demonstrated in some form. As key next milestones for the field, we foresee the improvement of these parts and their adaptation to more biological systems, the demonstration of more complex algorithms, the advancement of quantitative modeling approaches and compilers to support rational MC engineering, and implementation of MC engineering for practical applications.
    Note
    12 month embargo; available online 3 July 2020
    ISSN
    0959-437X
    EISSN
    1879-0380
    PubMed ID
    32629326
    DOI
    10.1016/j.gde.2020.05.039
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.gde.2020.05.039
    Scopus Count
    Collections
    UA Faculty Publications

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