The cell-centered database - A database for multiscale structural and protein localization data from light and electron microscopy

The cell-centered database - A database for multiscale structural and protein localization data from light and electron microscopy
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DOI:
10.1385/ni:1:4:379
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发表时间:
2003-12-01
期刊:
影响因子:
3
通讯作者:
Ellisman, MH
Ellisman, MH
中科院分区:
医学4区
文献类型:
--
作者:
Martone, ME;Zhang, SL;Ellisman, MH

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以网络访问数据库(如GenBank)的形式为分子数据创建结构化共享数据库一直是基因组革命背后的驱动力。这些资源不仅用于组织和管理由地球仪的研究人员创建的分子数据,而且还为数据挖掘操作提供起点,以发现存在于大量序列和结构数据中的感兴趣的信息。为了实现过去十年基因组和蛋白质组学努力的全面影响,需要类似的资源来研究分子水平以外的生物系统中的结构和生化复杂性,其中蛋白质和大分子复合物位于其细胞和组织环境中。在这篇综述中,我们讨论了我们的努力,在神经信息学资源的开发管理和挖掘细胞水平的成像数据来自光学和电子显微镜。我们描述了我们的网络访问的数据库,细胞为中心的数据库(CCDB; http://ncmir.ucsd.edu/CCDB/),设计的结构和蛋白质定位信息的规模从大面积的组织细胞微区与其相关的大分子成分的主要功能。CCDB的创建是为了向科学界提供3D显微成像数据,并作为研究细胞和组织的结构和大分子复杂性的资源,特别是在啮齿动物神经系统中。
The creation of structured shared data repositories for molecular data in the form of web-accessible databases like GenBank has been a driving force behind the genomic revolution. These resources server not only to organize and manage molecular data being created by researchers around the globe, but also provide the starting point for data mining operations to uncover interesting information present in the large amount of sequence and structural data. To realize the full impact of the genomic and proteomic efforts of the last decade, similar resources are needed for structural and biochemical complexity in biological systems beyond the molecular level, where proteins and macromolecular complexes are situated within their cellular and tissue environments. In this review, we discuss our efforts in the development of neuroinformatics resources for managing and mining cell level imaging data derived from light and electron microscopy. We describe the main features of our web-accessible database, the Cell Centered Database (CCDB;http://ncmir.ucsd.edu/CCDB/), designed for structural and protein localization information at scales ranging from large expanses of tissue to cellular microdomains with their associated macromolecular constituents. The CCDB was created to make 3D microscopic imaging data available to the scientific community and to serve as a resource for investigating structural and macromolecular complexity of cells and tissues, particularly in the rodent nervous system.