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| Status |
Public on Mar 08, 2016 |
| Title |
An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Changes in cellular metabolism contribute to the development and progression of tumors, and can render tumors vulnerable to interventions. However, studies of human cancer metabolism remain limited due to technical challenges of detecting and quantifying small molecules, the highly interconnected nature of metabolic pathways, and the lack of designated tools to analyze and integrate metabolomics with other –omics data. Our study generates the largest comprehensive metabolomics dataset on a single cancer type, and provides a significant advance in integration of metabolomics with sequencing data. Our results highlight the massive re-organization of cellular metabolism as tumors progress and acquire more aggressive features. The results of our work are made available through an interactive public data portal for cancer research community.
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| |
|
| Overall design |
10 RNA samples from human ccRCC tumors analyzed from the high glutathione cluster
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| |
|
| Contributor(s) |
Hakimi AA, Reznik E, Hsieh J |
| Citation(s) |
26766592 |
| |
| Submission date |
Nov 05, 2015 |
| Last update date |
May 15, 2019 |
| Contact name |
Jeffrey Zhao |
| Organization name |
Memorial Sloan Kettering Cancer Center
|
| Department |
Genomics Core
|
| Street address |
1275 York Avenue
|
| City |
New York |
| State/province |
NY |
| ZIP/Postal code |
10065 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL17303 |
Ion Torrent Proton (Homo sapiens) |
|
| Samples (10)
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| Relations |
| BioProject |
PRJNA301435 |
| SRA |
SRP065894 |
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