Unknown,Transcriptomics,Genomics,Proteomics

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Large-scale analysis of the human transcriptome - Novartis dataset


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. Keywords: other. This dataset is part of the TransQST collection.

ORGANISM(S): Homo sapiens

SUBMITTER: John Walker 

PROVIDER: E-GEOD-96 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Large-scale analysis of the human and mouse transcriptomes.

Su Andrew I AI   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  

Proceedings of the National Academy of Sciences of the United States of America 20020319 7


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, orga  ...[more]

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