ArticleACS sensors2022
Serotonin G Protein-Coupled Receptor-Based Biosensing Modalities in Yeast.
Article in ACS sensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 28 citations in OpenAlex.
- Tuning the Response of GPCR-Based Yeast Sensors Using Fluorescent Reporters.ACS synthetic biology · 2026Article
- Engineering yeast for sustainable bioproduction of tryptophan-derived aromatic compounds.FEMS yeast research · 2026Review
- A yeast surface display platform for characterizing CAR T cell responses to cancer antigens.Nature communications · 2025Article
- Enabling technologies for in situ biomanufacturing using probiotic yeast.Advanced drug delivery reviews · 2025Review
- Modulating the Properties of GPCR-Based Sensors Via C-Terminus Isoforms.ACS synthetic biology · 2025Article
- Labels as a feature: Network homophily for systematically annotating human GPCR drug-target interactions.Nature communications · 2025Article
- Engineering Saccharomyces cerevisiae for medical applications.Microbial cell factories · 2025Review
- Advances in yeast synthetic biology for human G protein-coupled receptor biology and pharmacology.Current opinion in biotechnology · 2024Review
- Advances in ligand-specific biosensing for structurally similar molecules.Cell systems · 2023Review
- Reshaping the yeast galactose regulon via GPCR signaling cascade.Cell reports methods · 2023Article
- Biosynthesis of natural and halogenated plant monoterpene indole alkaloids in yeast.Nature chemical biology · 2023Article
- Rational engineering approaches for establishing insect olfaction reporters in yeast.Biotechnology notes (Amsterdam, Netherlands) · 2023Article
- The development of an ingestible biosensor for the characterization of gut metabolites related to major depressive disorder: hypothesis and theory.Frontiers in systems biology · 2023Article
- Engineered cell differentiation and sexual reproduction in probiotic and mating yeasts.Nature communications · 2022Article
- The Use of Yeast in Biosensing.Microorganisms · 2022Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Serotonin is a key neurotransmitter involved in numerous physiological processes and serves as an important precursor for manufacturing bioactive indoleamines and alkaloids used in the treatment of human pathologies. In humans, serotonin sensing and signaling can occur by 12 G protein-coupled receptors (GPCRs) coupled to Gα proteins. In yeast, human serotonin GPCRs coupled to Gα proteins have previously been shown to function as whole-cell biosensors of serotonin. However, systematic characterization of serotonin biosensing modalities between variant serotonin GPCRs and application thereof for high-resolution serotonin quantification is still awaiting. To systematically assess GPCR signaling in response to serotonin, we characterized reporter gene expression at two different pHs of a 144-sized library encoding all 12 human serotonin GPCRs in combination with 12 different Gα proteins engineered in yeast. From this screen, we observed changes in the biosensor sensitivities of >4 orders of magnitude. Furthermore, adopting optimal biosensing designs and pH conditions enabled high-resolution high-performance liquid chromatography-validated sensing of serotonin produced in yeast. Lastly, we used the yeast platform to characterize 19 serotonin GPCR polymorphisms found in human populations. While major differences in signaling were observed among the individual polymorphisms when studied in yeast, a cross-comparison of selected variants in mammalian cells showed both similar and disparate results. Taken together, our study highlights serotonin biosensing modalities of relevance to both biotechnological and potential human health applications.
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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 Socratic graph.