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Series GSE217211 Query DataSets for GSE217211
Status Public on Nov 10, 2022
Title Dynamic partitioning of branched-chain amino acids- derived nitrogen supports renal cancer progression
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-related clear cell renal cancer cells (ccRCC) grown in physiological media to identify key stage-specific metabolic vulnerabilities. We show that a VHL loss-dependent reprogramming of branched-chain amino acid catabolism sustains the de novo biosynthesis of aspartate and arginine enabling tumor cells with the flexibility of partitioning the nitrogen of the amino acids depending on their needs. Importantly, we identify the epigenetic reactivation of argininosuccinate synthase (ASS1), a urea cycle enzyme suppressed in primary ccRCC, as a crucial event for metastatic renal cancer cells to acquire the capability to generate arginine, invade in vitro and metastasize in vivo. Overall, our study uncovers a mechanism of metabolic flexibility occurring during ccRCC progression, paving the way for the development of novel stage-specific therapies.
 
Overall design Comparative gene expression profiling analysis of RNA-seq data for HK2, 786-O and its metastatic derivatives 786-M1A
 
Contributor(s) Sciacovelli M, Dugourd A
Citation(s) 36539415
Submission date Nov 03, 2022
Last update date Feb 09, 2023
Contact name Marco Sciacovelli
E-mail(s) M.Sciacovelli@liverpool.ac.uk
Organization name University of Liverpool
Street address Ashton Street, Sherrington Building
City Liverpool
State/province Select State
ZIP/Postal code L693GE
Country United Kingdom
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (9)
GSM6706603 HK2 replicate 1
GSM6706604 HK2 replicate 2
GSM6706605 HK2 replicate 3
Relations
BioProject PRJNA897915

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE217211_counts.csv.gz 387.0 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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