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Published on: January 4, 2016
A Novel Multiple-Read Screen for Metabolically Active Compounds Based on a Genetically Encoded FRET Sensor for ATP
Ziyan Zhao1, Rahul Rajagopalan1, Adam Zweifach1
11 Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA.
We developed a novel assay to screen for cancer therapeutics targeting cellular metabolism. This method identifies compounds inhibiting glycolysis or oxidative phosphorylation, supporting glycolysis inhibition as an effective antiproliferative strategy.
Area of Science:
- Biochemistry
- Molecular Biology
- Cancer Therapeutics
Background:
- Glycolysis and mitochondrial energetics are key targets for antiproliferative cancer drug development.
- Existing assays may not efficiently differentiate between inhibitors of distinct metabolic pathways.
Purpose of the Study:
- To develop and validate a novel assay for screening compounds targeting cellular ATP production.
- To identify inhibitors of glycolysis and oxidative phosphorylation.
- To evaluate the antiproliferative potential of targeting these metabolic pathways in cancer cells.
Main Methods:
- Genetically encoded intramolecular Förster resonance energy transfer (FRET) sensor for adenosine triphosphate (ATP) expressed in K562 cells.
- Long-term expression and fluorescent plate reader-based assay for compound screening.
- Screening of a National Cancer Institute (NCI) compound library.
- Analysis of K562 cell proliferation data.
Main Results:
- Identified novel inhibitors of oxidative phosphorylation-dependent ATP production and glycolysis.
- Demonstrated the assay's capability to identify glycolysis inhibitors targeting hexokinase activity.
- Found that glycolysis inhibitors were significantly more antiproliferative than inhibitors of oxidative phosphorylation.
Conclusions:
- The developed FRET-based assay is a powerful tool for screening compounds affecting cellular metabolism.
- Inhibiting glycolysis is a highly effective antiproliferative strategy in K562 cancer cells.
- The assay facilitates the identification of compounds with specific mechanisms of metabolic inhibition.
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