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Status |
Public on Dec 06, 2002 |
Title |
Large-scale analysis of the mouse transcriptome |
Organism |
Mus musculus |
Experiment type |
Expression profiling by array
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Summary |
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://biogps.gnf.org) that integrates data visualization and curation of current gene annotations. Keywords: other
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Contributor(s) |
Su AI, Cooke MP, Ching KA, Hakak Y, Walker JR, Wiltshire T, Orth AP, Vega RG, Sapinoso LM, Moqrich A, Patapoutian A, Hampton GM, Schultz PG, Hogenesch JB |
Citation(s) |
11904358 |
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Submission date |
Nov 22, 2002 |
Last update date |
Jul 06, 2016 |
Contact name |
John R Walker |
E-mail(s) |
jwalker@gnf.org
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Phone |
858-812-1636
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Organization name |
Genomics Institute of the Novartis Research Foundation
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Lab |
Genetics Core
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Street address |
10675 John Jay Hopkins
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City |
San Diego |
State/province |
CA |
ZIP/Postal code |
92121 |
Country |
USA |
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Platforms (1) |
GPL32 |
[MG_U74A] Affymetrix Murine Genome U74A Array |
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Samples (90)
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Relations |
BioProject |
PRJNA85489 |
Supplementary file |
Size |
Download |
File type/resource |
GSE97_RAW.tar |
278.0 Mb |
(http)(custom) |
TAR (of CEL) |
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