Large-scale analysis of the human and mouse transcriptomes.
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.
Su
Andrew I
AI
Department of Chemistry, The Scripps Research Institute, La Jolla, CA 92037, USA.
Cooke
Michael P
MP
Ching
Keith A
KA
Hakak
Yaron
Y
Walker
John R
JR
Wiltshire
Tim
T
Orth
Anthony P
AP
Vega
Raquel G
RG
Sapinoso
Lisa M
LM
Moqrich
Aziz
A
Patapoutian
Ardem
A
Hampton
Garret M
GM
Schultz
Peter G
PG
Hogenesch
John B
JB
D000818:Animals; D003094:Collagen / Q000235:genetics; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008297:Male; D051379:Mice; D009928:Organ Specificity; D016133:Polymerase Chain Reaction; D011956:Receptors, Cell Surface / Q000235:genetics; D014158:Transcription, Genetic
D011956:Receptors, Cell Surface; D003094:Collagen