Large-scale analysis of the human and mouse transcriptomes

• DOI: 10.1073/pnas.012025199
• Publication Date: 2002-07-26T14:37:36Z
• Authors: Andrew I. Su; Michael P. Cooke; Keith A. Ching; Yaron Hakak; John R. Walker; Tim Wiltshire; Anthony P. Orth; Raquel G. Vega; Lisa M. Sapinoso; Aziz Moqrich; Ardem Patapoutian; Garret M. Hampton; Peter G. Schultz; John B. Hogenesch
• Keywords: Functional Genomics

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 these experiments have focused on specific processes and perturbations. Here, we generated analyzed from set samples spanning broad range conditions. Specifically, profiled 91 human mouse across diverse array tissues, organs, cell lines. Because predominantly come normal physiological state mouse, this dataset represents preliminary, but substantial, description mammalian transcriptome. We used to illustrate methods mining data, reveal insights into molecular function, mechanisms regulation, disease etiology, comparative genomics. Finally, allow scientific community use resource, built free publicly accessible website ( http://expression.gnf.org ) that integrates data visualization curation current annotations.