Abstract
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.
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