Druka Arnis, Muehlbauer Gary, Druka Ilze, Caldo Rico, Baumann Ute, Rostoks Nils, Schreiber Andreas, Wise Roger, Close Timothy, Kleinhofs Andris, Graner Andreas, Schulman Alan, Langridge Peter, Sato Kazuhiro, Hayes Patrick, McNicol Jim, Marshall David, Waugh Robbie
Scottish Crop Research Institute, Invergowrie, Dundee, DD2 5DA, Scotland, UK.
Funct Integr Genomics. 2006 Jul;6(3):202-11. doi: 10.1007/s10142-006-0025-4. Epub 2006 Mar 18.
Assaying relative and absolute levels of gene expression in a diverse series of tissues is a central step in the process of characterizing gene function and a necessary component of almost all publications describing individual genes or gene family members. However, throughout the literature, such studies lack consistency in genotype, tissues analyzed, and growth conditions applied, and, as a result, the body of information that is currently assembled is fragmented and difficult to compare between different studies. The development of a comprehensive platform for assaying gene expression that is available to the entire research community provides a major opportunity to assess whole biological systems in a single experiment. It also integrates detailed knowledge and information on individual genes into a unified framework that provides both context and resource to explore their contributions in a broader biological system. We have established a data set that describes the expression of 21,439 barley genes in 15 tissues sampled throughout the development of the barley cv. Morex grown under highly controlled conditions. Rather than attempting to address a specific biological question, our experiment was designed to provide a reference gene expression data set for barley researchers; a gene expression atlas and a comparative data set for those investigating genes or regulatory networks in other plant species. In this paper we describe the tissues sampled and their transcriptomes, and provide summary information on genes that are either specifically expressed in certain tissues or show correlated expression patterns across all 15 tissue samples. Using specific examples and an online tutorial, we describe how the data set can be interrogated for patterns and levels of barley gene expression and how the resulting information can be used to generate and/or test specific biological hypotheses.
测定一系列不同组织中基因表达的相对和绝对水平,是表征基因功能过程中的核心步骤,也是几乎所有描述单个基因或基因家族成员的出版物的必要组成部分。然而,纵观整个文献,此类研究在基因型、分析的组织以及应用的生长条件方面缺乏一致性,因此,目前收集到的信息零散,不同研究之间难以比较。开发一个可供整个研究群体使用的全面基因表达检测平台,为在单个实验中评估整个生物系统提供了一个重要契机。它还将关于单个基因的详细知识和信息整合到一个统一的框架中,该框架既提供了背景信息,又提供了资源,以便在更广泛的生物系统中探索它们的作用。我们建立了一个数据集,该数据集描述了在高度可控条件下生长的大麦品种Morex发育过程中15个组织中21439个大麦基因的表达情况。我们的实验并非试图解决某个特定的生物学问题,而是旨在为大麦研究人员提供一个参考基因表达数据集;为那些研究其他植物物种中的基因或调控网络的人员提供一个基因表达图谱和一个比较数据集。在本文中,我们描述了所采样的组织及其转录组,并提供了关于在某些组织中特异性表达或在所有15个组织样本中呈现相关表达模式的基因的汇总信息。通过具体示例和在线教程,我们描述了如何查询该数据集以获取大麦基因表达的模式和水平,以及如何利用所得信息来生成和/或检验特定的生物学假设。