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An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma

GSE74734 Homo sapiens Expression profiling by high throughput sequencing 10 samples Submitted 2016/03/08 Platform GPL17303
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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Direct links to NCBI, no account and no request form: the whole study as GSE74734_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 10 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA301435 and SRA study SRP065894. Searching any of these in the dataset finder brings you back here.

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