A Maize Database Resource that Captures Tissue-Specific and Subcellular-Localized Gene Expression, via Fluorescent Tags and Confocal Imaging (Maize Cell Genomics Database)
A Maize Database Resource that Captures Tissue-Specific and Subcellular-Localized Gene Expression, via Fluorescent Tags and Confocal Imaging (Maize Cell Genomics Database)
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DOI：
10.1093/pcp/pcu178
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发表时间：
2015-01-01
影响因子：
4.9
通讯作者：
Chan, Agnes P.
中科院分区：
文献类型：
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作者：
Krishnakumar, Vivek;Choi, Yongwook;Chan, Agnes P.
玉米是一种全球性的作物，也是粮食作物中遗传和基因组研究的重要系统。然而，非常需要开发新的生物工具和资源来帮助基因序列的功能鉴定。为了实现这一目标，我们开发了一系列玉米标记系，用于使用荧光蛋白（FP）研究特定细胞类型和亚细胞区室中的天然基因表达。为了对FP表达进行编目，我们开发了一个公共储存库，即玉米细胞基因组学（MCG）数据库（http：//maize.jcvi.org/cellgenomics），以组织由玉米标记系产生的共聚焦图像的大数据集。到目前为止，收集代表了主要的亚细胞结构，也发育重要的祖细胞群体。该资源可供研究界使用，例如在各种实验条件或突变背景下研究蛋白质定位或相互作用。标记系的子集也可用于通过反式激活系统诱导靶基因的错误表达。对于未来的方向，图像库可以扩展到接受来自研究界的新图像提交，并执行定制的大规模计算图像分析。这个社区资源将提供一套新的工具，通过在亚细胞，细胞和组织水平上跟踪蛋白质表达的动态来获得生物学见解。
Maize is a global crop and a powerful system among grain crops for genetic and genomic studies. However, the development of novel biological tools and resources to aid in the functional identification of gene sequences is greatly needed. Towards this goal, we have developed a collection of maize marker lines for studying native gene expression in specific cell types and subcellular compartments using fluorescent proteins (FPs). To catalog FP expression, we have developed a public repository, the Maize Cell Genomics (MCG) Database, (http://maize.jcvi.org/cellgenomics), to organize a large data set of confocal images generated from the maize marker lines. To date, the collection represents major subcellular structures and also developmentally important progenitor cell populations. The resource is available to the research community, for example to study protein localization or interactions under various experimental conditions or mutant backgrounds. A subset of the marker lines can also be used to induce misexpression of target genes through a transactivation system. For future directions, the image repository can be expanded to accept new image submissions from the research community, and to perform customized large-scale computational image analysis. This community resource will provide a suite of new tools for gaining biological insights by following the dynamics of protein expression at the subcellular, cellular and tissue levels.