A developmental ontology for the mammalian brain using the prosomeric model
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 par...
| Main Authors: | , , , |
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| Format: | Journal Article |
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Elsevier
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/24488 |
| _version_ | 1848751444290699264 |
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| author | Puelles, L. Harrison, M. Paxinos, G. Watson, Charles |
| author_facet | Puelles, L. Harrison, M. Paxinos, G. Watson, Charles |
| author_sort | Puelles, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:52:49Z |
| format | Journal Article |
| id | curtin-20.500.11937-24488 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:52:49Z |
| publishDate | 2013 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-244882019-02-19T05:35:23Z A developmental ontology for the mammalian brain using the prosomeric model Puelles, L. Harrison, M. Paxinos, G. Watson, Charles hindbrain forebrain neuromeres midbrain gene expression ontology 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. 2013 Journal Article http://hdl.handle.net/20.500.11937/24488 10.1016/j.tins.2013.06.004 Elsevier fulltext |
| spellingShingle | hindbrain forebrain neuromeres midbrain gene expression ontology Puelles, L. Harrison, M. Paxinos, G. Watson, Charles A developmental ontology for the mammalian brain using the prosomeric model |
| title | A developmental ontology for the mammalian brain using the prosomeric model |
| title_full | A developmental ontology for the mammalian brain using the prosomeric model |
| title_fullStr | A developmental ontology for the mammalian brain using the prosomeric model |
| title_full_unstemmed | A developmental ontology for the mammalian brain using the prosomeric model |
| title_short | A developmental ontology for the mammalian brain using the prosomeric model |
| title_sort | developmental ontology for the mammalian brain using the prosomeric model |
| topic | hindbrain forebrain neuromeres midbrain gene expression ontology |
| url | http://hdl.handle.net/20.500.11937/24488 |