Su Andrew I, Wiltshire Tim, Batalov Serge, Lapp Hilmar, Ching Keith A, Block David, Zhang Jie, Soden Richard, Hayakawa Mimi, Kreiman Gabriel, Cooke Michael P, Walker John R, Hogenesch John B
The Genomics Institute of the Novartis Research Foundation, 10675 John J. Hopkins Drive, San Diego, CA 92121, USA.
Proc Natl Acad Sci U S A. 2004 Apr 20;101(16):6062-7. doi: 10.1073/pnas.0400782101. Epub 2004 Apr 9.
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.
mRNA表达的组织特异性模式能够为基因功能提供重要线索。高密度寡核苷酸阵列提供了在全基因组范围内检测基因表达模式的机会。为此,我们设计了定制阵列,用于检测绝大多数编码蛋白质的人类和小鼠基因的表达,并使用它们对79个人类组织和61个小鼠组织进行了表达谱分析。所得数据集提供了来自小鼠和人类的数千个预测基因以及已知和特征不明基因的表达模式。我们探索了该数据集以寻找基因表达的全局趋势,评估了基因预测方法中常用的证据线索,并研究了指示转录染色体组织的模式。我们描述了数百个相关转录区域,并表明其中一些区域同时受到组织和亲本等位基因特异性表达的影响,这表明空间表达与印记之间存在联系。