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Series GSE106169 Query DataSets for GSE106169
Status Public on May 01, 2018
Title Polyol pathway links glucose metabolism to the aggressiveness of cancer cells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Cancer cells alter their metabolism to support their malignant properties. By transcriptomic analysis we identified the glucose-transforming polyol pathway (PP) gene aldo-keto-reductase-1-member-B1 (AKR1B1) as strongly correlated with epithelial-to-mesenchymal transition (EMT). This association was confirmed staining samples from lung cancer patients and from an EMT-driven colon cancer mouse model with p53 deletion. In vitro, mesenchymal-like cancer cells showed increased AKR1B1 levels and AKR1B1 knockdown was sufficient to revert EMT. An equivalent level of EMT suppression was measured by targeting the downstream enzyme sorbitol-dehydrogenase (SORD), further pointing at the involvement of the PP. Comparative RNA sequencing profiling confirmed a profound alteration of EMT in PP-deficient cells, revealing a strong repression of TGF-Beta signature genes. Mechanistically, excess glucose was found to promote EMT through autocrine TGF-Beta stimulation, while PP-deficient cells were refractory to glucose-induced EMT. PP represents a molecular link between glucose metabolism and cancer differentiation and aggressiveness, and a novel potential therapeutic target.
 
Overall design 3x3 biological replicated samples; 2 groups of samples with shRNA-mediated specific gene inhibition and scrambled control cells
 
Contributor(s) Ceppi P, Ekici AB
Citation(s) 29343522
Submission date Oct 25, 2017
Last update date May 15, 2019
Contact name Arif B Ekici
E-mail(s) arif.ekici@uk-erlangen.de
Organization name Institute of Human Genetics
Street address Schwabachanlage 10
City Erlangen
ZIP/Postal code 91054
Country Germany
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (9)
GSM2830949 plko #1
GSM2830950 plko #2
GSM2830951 plko #3
Relations
BioProject PRJNA415806
SRA SRP121474

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Supplementary file Size Download File type/resource
GSE106169_counts.txt.gz 596.7 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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