ACS Bio & Med Chem AuBiochemistryPeer-reviewed journal article
A Genetically Encoded Fluorescent Biosensor for Intracellular Measurement of Malonyl-CoA
Brodie L. RanzauiD, Tiffany D. Robinson, Jack M. ScullyiD, Edmund D. KapelczakiD, Teagan S. Dean, Tara A. TeSlaaiD, Danielle L. SchmittiD
Abstract
Malonyl-CoA is the essential building block of fatty acids and regulates cell function through protein malonylation and allosteric regulation of signaling networks. Accordingly, the production and use of malonyl-CoA is finely tuned by the cellular energy status. Most studies of malonyl-CoA dynamics rely on bulk approaches that take only a snapshot of the average metabolic state of a population of cells, missing out on dynamic changes in malonyl-CoA and fatty acid biosynthesis that could be occurring within a single cell. To overcome this limitation, we have developed a genetically encoded fluorescent protein-based biosensor for malonyl-CoA that can be used to capture malonyl-CoA dynamics in single cells. This biosensor, termed Malibu (malonyl-CoA intracellular biosensor to understand dynamics), exhibits an excitation-ratiometric change in response to malonyl-CoA binding. We first used Malibu to monitor malonyl-CoA dynamics during inhibition of fatty acid biosynthesis using cerulenin in E. coli, observing an increase in Malibu response in a time- and dose-dependent manner. In HeLa cells, we used Malibu to monitor the impact of fatty acid biosynthesis inhibition on malonyl-CoA dynamics in single cells, finding that two inhibitors of fatty acid biosynthesis, cerulenin and orlistat, which inhibit different steps of fatty acid biosynthesis, increase malonyl-CoA levels. Altogether, we have developed a new genetically encoded biosensor for malonyl-CoA, which can be used to sensitively study malonyl-CoA dynamics in single cells, providing an unparalleled view into fatty acid biosynthesis.
- organism: E. coli
- organism: human
- assay: fluorescence / live-cell microscopy
- research focus: cell type annotation
- research focus: differential expression
- research focus: protein folding & dynamics
- research focus: metabolism & bioenergetics
- approach: experimental assay
- Citations
- 8
- FWCI
- 1.42
- Field percentile
- top 19%
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