ArticleChemistry & biology2012
A genetically encoded metabolite sensor for malonyl-CoA.
Article in Chemistry & biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 57 citations in OpenAlex.
- A genetically encoded fluorescent biosensor for visualization of acetyl-CoA in live cells.Cell chemical biology · 2025Article
- Spatial single-cell isotope tracing reveals heterogeneity of de novo fatty acid synthesis in cancer.Nature metabolism · 2024Article
- Article
- The role of metabolism in cellular quiescence.Journal of cell science · 2023Review
- Chemoproteomics Yields a Selective Molecular Host for Acetyl-CoA.Journal of the American Chemical Society · 2023Article
- Inactivation of the Pta-AckA pathway impairs fitness ofJournal of bacteriology · 2021Article
- Article
- Re-engineering Plant Phenylpropanoid Metabolism With the Aid of Synthetic Biosensors.Frontiers in plant science · 2021Review
- Transcription Factor-Based Biosensor for Dynamic Control in Yeast for Natural Product Synthesis.Frontiers in bioengineering and biotechnology · 2021Review
- Poly(3-hydroxypropionate): Biosynthesis Pathways and Malonyl-CoA Biosensor Material Properties.Frontiers in bioengineering and biotechnology · 2021Review
- Small-molecule inducible transcriptional control in mammalian cells.Critical reviews in biotechnology · 2020Review
- Branch point control at malonyl-CoA node: A computational framework to uncover the design principles of an ideal genetic-metabolic switch.Metabolic engineering communications · 2020Article
- Development of a Genetically Encoded Biosensor for Detection of Polyketide Synthase Extender Units in Escherichia coli.ACS synthetic biology · 2019Article
- Genetic screens reveal mechanisms for the transcriptional regulation of tissue-specific genes in normal cells and tumors.Nucleic acids research · 2019Article
- Engineering metabolite-responsive transcriptional factors to sense small molecules in eukaryotes: current state and perspectives.Microbial cell factories · 2019Review
- A Microdevice Platform Recapitulating Hypoxic Tumor Microenvironments.Scientific reports · 2017Article
- The Mammalian Malonyl-CoA Synthetase ACSF3 Is Required for Mitochondrial Protein Malonylation and Metabolic Efficiency.Cell chemical biology · 2017Article
- FapR: From Control of Membrane Lipid Homeostasis to a Biotechnological Tool.Frontiers in molecular biosciences · 2016Review
- Biosensors in clinical chemistry: An overview.Advanced biomedical research · 2014Review
- Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Malonyl-CoA is the rate-determining metabolite for long chain de novo fatty acid synthesis and allosterically inhibits the rate-setting step in long chain fatty acid β-oxidation. We developed a cell-based genetically encoded biosensor based on the malonyl-CoA responsive Bacillus subtilis transcriptional repressor, FapR, for living mammalian cells. Here, we show that fluctuations in malonyl-CoA, in mammalian cells, can regulate the transcription of a FapR-based malonyl-CoA biosensor. The biosensor reflects changes in malonyl-CoA flux regulated by malonyl-CoA decarboxylase and AMP-activated protein kinase in a concentration-dependent manner. To gain further insight into the regulatory mechanisms that affect fatty acid metabolism, we used the malonyl-CoA sensor to screen and identify several kinases. LIMK1 was identified and its expression was shown to alter both fatty acid synthesis and oxidation rates. This simple genetically encoded biosensor can be used to study the metabolic properties of live mammalian cells and enable screens for novel metabolic regulators.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.