Walker John R, Su Andrew I, Self David W, Hogenesch John B, Lapp Hilmar, Maier Rainer, Hoyer Daniel, Bilbe Graeme
Genomics Institute of the Novartis Research Foundation, San Diego, California 92121, USA.
Genome Res. 2004 Apr;14(4):742-9. doi: 10.1101/gr.2161804.
With the sequencing and assembly of the rat genome comes the difficult task of assigning functions to genes. Tissue localization of gene expression gives some information about the potential role of a gene in physiology. Various examples of the utility of multiple tissue gene expression data sets are illustrated here. First, we highlight their use in finding genes that might play an important role in a particular tissue on the basis of exclusive expression in that tissue or coexpression with a gene or genes with known function. Second, we show how this data might be used to explain known phenotypic differences between strains. Third, we show how expression patterns of genes in a genomic interval might identify candidate genes in quantitative trait loci (QTL) mapping studies. Lastly, we show how multiple tissue and species data can help researchers prioritize follow up studies to microarray experiments. All of these applications of multiple tissue gene expression data sets will play a role in functionally annotating the rat genome.
随着大鼠基因组的测序和组装,给基因赋予功能成为一项艰巨的任务。基因表达的组织定位提供了一些关于基因在生理学中潜在作用的信息。本文阐述了多个组织基因表达数据集的各种应用实例。首先,我们强调它们在基于特定组织中的特异性表达或与已知功能基因的共表达来寻找可能在特定组织中发挥重要作用的基因方面的用途。其次,我们展示了这些数据如何用于解释品系间已知的表型差异。第三,我们展示了基因组区间内基因的表达模式如何在数量性状位点(QTL)定位研究中识别候选基因。最后,我们展示了多个组织和物种的数据如何帮助研究人员在微阵列实验后续研究中确定优先次序。多个组织基因表达数据集的所有这些应用将在大鼠基因组的功能注释中发挥作用。