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    A developmental ontology for the mammalian brain using the prosomeric model

    198289_198289.pdf (656.3Kb)
    Access Status
    Open access
    Authors
    Puelles, L.
    Harrison, M.
    Paxinos, G.
    Watson, Charles
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Puelles, Luis and Harrison, Megan and Paxinos, George and Watson, Charles. 2013. A developmental ontology for the mammalian brain using the prosomeric model. Trends in Neurosciences. 36 (10): pp. 570-578.
    Source Title
    Trends in Neurosciences
    DOI
    10.1016/j.tins.2013.06.004
    ISSN
    0166-2236
    Remarks

    NOTICE: This is the author’s version of a work that was accepted for publication in Trends in Neurosciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Trends in Neurosciences, Vol. 36, Issue 10. (2013). http://doi.org/10.1016/j.tins.2013.06.004

    URI
    http://hdl.handle.net/20.500.11937/24488
    Collection
    • Curtin Research Publications
    Abstract

    In the past, attempts to create a hierarchical classification of brain structures (an ontology) have been limited by the lack of adequate data on developmental processes. Recent studies on gene expression during brain development have demonstrated the true morphologic interrelations of different parts of the brain. A developmental ontology takes into account the progressive rostrocaudal and dorsoventral differentiation of the neural tube, and the radial migration of derivatives from progenitor areas, using fate mapping and other experimental techniques. In this review, we used the prosomeric model of brain development to build a hierarchical classification of brain structures based chiefly on gene expression. Because genomic control of neural morphogenesis is remarkably conservative, this ontology should prove essentially valid for all vertebrates, aiding terminological unification.

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