Belmamoune Mounia, Verbeek Fons J
Section Imaging and Bioinformatics, Leiden Institute of Computer Science (LIACS), Niels Bohrweg 1, 2333 CA Leiden, The Netherlands.
J Integr Bioinform. 2008 Aug 25;5(2):92. doi: 10.2390/biecoll-jib-2008-92.
The Gene Expression Management System (GEMS) is a database system for patterns of gene expression. These patterns result from systematic whole-mount fluorescent in situ hybridization studies on zebrafish embryos. GEMS is an integrative platform that addresses one of the important challenges of developmental biology: how to integrate genetic data that underpin morphological changes during embryogenesis. Our motivation to build this system was by the need to be able to organize and compare multiple patterns of gene expression at tissue level. Integration with other developmental and biomolecular databases will further support our understanding of development. The GEMS operates in concert with a database containing a digital atlas of zebrafish embryo; this digital atlas of zebrafish development has been conceived prior to the expansion of the GEMS. The atlas contains 3D volume models of canonical stages of zebrafish development in which in each volume model element is annotated with an anatomical term. These terms are extracted from a formal anatomical ontology, i.e. the Developmental Anatomy Ontology of Zebrafish (DAOZ). In the GEMS, anatomical terms from this ontology together with terms from the Gene Ontology (GO) are also used to annotate patterns of gene expression and in this manner providing mechanisms for integration and retrieval. The annotations are the glue for integration of patterns of gene expression in GEMS as well as in other biomolecular databases. At the one hand, zebrafish anatomy terminology allows gene expression data within GEMS to be integrated with phenotypical data in the 3D atlas of zebrafish development. At the other hand, GO terms extend GEMS expression patterns integration to a wide range of bioinformatics resources.
基因表达管理系统(GEMS)是一个用于基因表达模式的数据库系统。这些模式源自对斑马鱼胚胎进行的系统性全胚胎荧光原位杂交研究。GEMS是一个综合平台,旨在应对发育生物学的一项重要挑战:如何整合胚胎发育过程中构成形态变化基础的遗传数据。我们构建这个系统的动机是需要能够在组织层面组织和比较多种基因表达模式。与其他发育和生物分子数据库的整合将进一步支持我们对发育的理解。GEMS与一个包含斑马鱼胚胎数字图谱的数据库协同运行;这个斑马鱼发育数字图谱在GEMS扩展之前就已构思。该图谱包含斑马鱼发育典型阶段的三维体积模型,其中每个体积模型元素都用一个解剖学术语进行注释。这些术语从一个正式的解剖学本体中提取,即斑马鱼发育解剖学本体(DAOZ)。在GEMS中,来自该本体的解剖学术语以及来自基因本体(GO)的术语也用于注释基因表达模式,并以此方式提供整合和检索机制。这些注释是GEMS以及其他生物分子数据库中基因表达模式整合的粘合剂。一方面,斑马鱼解剖学术语使GEMS内的基因表达数据能够与斑马鱼发育三维图谱中的表型数据整合。另一方面,GO术语将GEMS表达模式整合扩展到广泛的生物信息学资源。