Large-scale analysis of the human and mouse transcriptomes

Large-scale analysis of the human and mouse transcriptomes
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DOI:
10.1073/pnas.012025199
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发表时间:
2002-04-02
影响因子:
11.1
通讯作者:
Hogenesch, JB
Hogenesch, JB
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Su, AI;Cooke, MP;Hogenesch, JB

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高通量基因表达分析已成为研究各种生物样品中转录活性的重要工具。迄今为止,这些实验的绝大多数都集中在特定的生物学过程和扰动上。在这里,我们从一组涵盖广泛的生物学条件的样品中生成和分析了基因表达。具体而言,我们在各种组织,器官和细胞系中介绍了来自91个人和小鼠样品的基因表达。由于这些样品主要来自人和小鼠中的正常生理状态,因此该数据集代表了对正常哺乳动物转录组的初步但实质性的描述。我们已经使用此数据集说明了挖掘这些数据的方法,并揭示了对分子和生理基因功能,转录调控机制,疾病病因和比较基因组学的见解。最后,为了允许科学界使用此资源,我们建立了一个免费且公共访问的网站(http:// cessive.gnf.org),该网站将数据可视化和当前基因注释的策划整合在一起。
High-throughput gene expression profiling has become an important tool for investigating transcriptional activity in a variety of biological samples. To date, the vast majority of these experiments have focused on specific biological processes and perturbations. Here, we have generated and analyzed gene expression from a set of samples spanning a broad range of biological conditions. Specifically, we profiled gene expression from 91 human and mouse samples across a diverse array of tissues, organs, and cell lines. Because these samples predominantly come from the normal physiological state in the human and mouse, this dataset represents a preliminary, but substantial, description of the normal mammalian transcriptome. We have used this dataset to illustrate methods of mining these data, and to reveal insights into molecular and physiological gene function, mechanisms of transcriptional regulation, disease etiology, and comparative genomics. Finally, to allow the scientific community to use this resource, we have built a free and publicly accessible website (http:/ / expression.gnf.org) that integrates data visualization and curation of current gene annotations.