Su Andrew I, Cooke Michael P, Ching Keith A, Hakak Yaron, Walker John R, Wiltshire Tim, Orth Anthony P, Vega Raquel G, Sapinoso Lisa M, Moqrich Aziz, Patapoutian Ardem, Hampton Garret M, Schultz Peter G, Hogenesch John B
Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA.
Proc Natl Acad Sci U S A. 2002 Apr 2;99(7):4465-70. doi: 10.1073/pnas.012025199. Epub 2002 Mar 19.
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.
高通量基因表达谱分析已成为研究各种生物样本中转录活性的重要工具。迄今为止，这些实验绝大多数都集中在特定的生物过程和干扰因素上。在此，我们生成并分析了一系列涵盖广泛生物条件的样本的基因表达。具体而言，我们对来自91个人类和小鼠样本的基因表达进行了分析，这些样本涵盖了多种组织、器官和细胞系。由于这些样本主要来自人类和小鼠的正常生理状态，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。我们利用这个数据集来说明挖掘这些数据的方法，并揭示对分子和生理基因功能、转录调控机制、疾病病因以及比较基因组学的见解。最后，为了让科学界能够使用这一资源，我们建立了一个免费且公开访问的网站（http://expression.gnf.org），该网站整合了数据可视化和当前基因注释的整理。
