A gene atlas of the mouse and human protein-encoding transcriptomes
A gene atlas of the mouse and human protein-encoding transcriptomes
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DOI：
10.1073/pnas.0400782101
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发表时间：
2004-04-20
影响因子：
11.1
通讯作者：
Hogenesch, JB
中科院分区：
文献类型：
--
作者：
Su, AI;Wiltshire, T;Hogenesch, JB
组织特异性的mRNA表达模式可以为基因功能提供重要线索。高密度寡核苷酸阵列提供了在基因组规模上检查基因表达模式的机会。为此，我们设计了定制的阵列，询问绝大多数编码蛋白质的人类和老鼠基因的表达，并使用它们来分析由79个人类和61个小鼠组织组成的小组。由此产生的数据集提供了数千个预测基因的表达模式，以及来自老鼠和人类的已知和特征不佳的基因。我们已经探索了基因表达的全球趋势的数据集，评估了基因预测方法中常用的证据线，并调查了指示染色体转录组织的模式。我们描述了数百个相关的转录区域，并表明其中一些区域同时受到组织和父母等位基因特异性表达的影响，这表明空间表达和印记之间存在联系。
The tissue-specific pattern of mRNA expression can indicate important clues about gene function. High-density oligonucleotide arrays offer the opportunity to examine patterns of gene expression on a genome scale. Toward this end, we have designed custom arrays that interrogate the expression of the vast majority of protein-encoding human and mouse genes and have used them to profile a panel of 79 human and 61 mouse tissues. The resulting data set provides the expression patterns for thousands of predicted genes, as well as known and poorly characterized genes, from mice and humans. We have explored this data set for global trends in gene expression, evaluated commonly used lines of evidence in gene prediction methodologies, and investigated patterns indicative of chromosomal organization of transcription. We describe hundreds of regions of correlated transcription and show that some are subject to both tissue and parental allele-specific expression, suggesting a link between spatial expression and imprinting.