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Status |
Public on Jul 31, 2014 |
Title |
Targeting Unique Metabolic Properties of Breast Tumor Initiating Cells |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Bulk cancer cell populations are known to display distinct metabolic properties compared to their normal counterparts. However, relatively little is known about heterogeneity of metabolic properties within tumors. In this study we show that, analogous to some normal stem cells, breast tumor initiating cells (TICs, also called cancer stem cells) have distinct metabolic properties compared to non-tumorigenic cancer cells (NTCs). Transcriptome profiling using RNA-Seq revealed TICs under-express genes involved in mitochondrial oxidative phosphorylation and although TICs are relatively quiescent, they preferentially perform glycolysis over oxidative phosphorylation compared to NTCs. TICs contain fewer mitochondria and display lower expression and activity of pyruvate dehydrogenase (Pdh), a key regulator of oxidative phosphorylation. Metabolic reprogramming of TICs by pharmacologic activation of Pdh preferentially eliminates TICs in vitro and in vivo. Our findings reveal unique metabolic properties of TICs and indicate that metabolic reprogramming represents a promising strategy for targeting these cells.
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Overall design |
Examination transcriptome profiles for breast tumor initiating cells (TICs) and non-tumorigenic cells (NTCs)
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Contributor(s) |
Feng W, Gentles A, Nair RV, Diehn M |
Citation(s) |
24497069 |
Submission date |
Oct 02, 2012 |
Last update date |
May 15, 2019 |
Contact name |
Andrew Gentles |
Organization name |
Stanford University
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Street address |
1201 Welch Road
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City |
Stanford |
State/province |
CA |
ZIP/Postal code |
94305 |
Country |
USA |
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Platforms (1) |
GPL13112 |
Illumina HiSeq 2000 (Mus musculus) |
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Samples (2) |
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Relations |
BioProject |
PRJNA176451 |
SRA |
SRP015968 |
Supplementary file |
Size |
Download |
File type/resource |
GSE41286_RAW.tar |
1.0 Mb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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