• Login
    View Item 
    •   Home
    • Office of Sponsored Research (OSR)
    • KAUST Funded Research
    • Publications Acknowledging KAUST Support
    • View Item
    •   Home
    • Office of Sponsored Research (OSR)
    • KAUST Funded Research
    • Publications Acknowledging KAUST Support
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    The sensitivity of Turing self-organization to biological feedback delays: 2D models of fish pigmentation

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Gaffney, E. A.
    Lee, S. S.
    KAUST Grant Number
    KUK-C1-013-04
    Date
    2013-10-01
    Online Publication Date
    2013-10-01
    Print Publication Date
    2015-03-01
    Permanent link to this record
    http://hdl.handle.net/10754/599961
    
    Metadata
    Show full item record
    Abstract
    © The authors 2013. Turing morphogen models have been extensively explored in the context of large-scale self-organization in multicellular biological systems. However, reconciling the detailed biology of morphogen dynamics, while accounting for time delays associated with gene expression, reveals aberrant behaviours that are not consistent with early developmental self-organization, especially the requirement for exquisite temporal control. Attempts to reconcile the interpretation of Turing's ideas with an increasing understanding of the mechanisms driving zebrafish pigmentation suggests that one should reconsider Turing's model in terms of pigment cells rather than morphogens (Nakamasu et al., 2009, PNAS, 106, 8429-8434; Yamaguchi et al., 2007, PNAS, 104, 4790-4793). Here the dynamics of pigment cells is subject to response delays implicit in the cell cycle and apoptosis. Hence we explore simulations of fish skin patterning, focussing on the dynamical influence of gene expression delays in morphogen-based Turing models and response delays for cell-based Turing models. We find that reconciling the mechanisms driving the behaviour of Turing systems with observations of fish skin patterning remains a fundamental challenge.
    Citation
    Gaffney EA, Lee SS (2013) The sensitivity of Turing self-organization to biological feedback delays: 2D models of fish pigmentation. Mathematical Medicine and Biology 32: 57–79. Available: http://dx.doi.org/10.1093/imammb/dqt017.
    Sponsors
    This publication is based on work supported in part by Award No. KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST) and Grant-in-Aid for JSPS Young Research Fellow from The Japan Society for The Promotion of Science (JSPS).
    Publisher
    Oxford University Press (OUP)
    Journal
    Mathematical Medicine and Biology
    DOI
    10.1093/imammb/dqt017
    PubMed ID
    24087834
    ae974a485f413a2113503eed53cd6c53
    10.1093/imammb/dqt017
    Scopus Count
    Collections
    Publications Acknowledging KAUST Support

    entitlement

    Related articles

    • The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.
    • Authors: Seirin Lee S, Gaffney EA, Baker RE
    • Issue date: 2011 Nov
    • On the orientation of stripes in fish skin patterning.
    • Authors: Míguez DG, Muñuzuri AP
    • Issue date: 2006 Nov 20
    • Mathematically guided approaches to distinguish models of periodic patterning.
    • Authors: Hiscock TW, Megason SG
    • Issue date: 2015 Feb 1
    • Is pigment patterning in fish skin determined by the Turing mechanism?
    • Authors: Watanabe M, Kondo S
    • Issue date: 2015 Feb
    • Aberrant behaviours of reaction diffusion self-organisation models on growing domains in the presence of gene expression time delays.
    • Authors: Seirin Lee S, Gaffney EA
    • Issue date: 2010 Nov
    DSpace software copyright © 2002-2022  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.