Evidence map›Paper›PMID 41396999›Full record

ArticleACS synthetic biology2026

Tuning the Response of GPCR-Based Yeast Sensors Using Fluorescent Reporters.

Ryan Langevin, McKenna Martin-Downey, Amisha Patel, Haden Archer, Sara J Davila Severiano, Pamela Peralta-Yahya

Abstract read
In one paragraph

Article in ACS synthetic biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ryan LangevinSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
McKenna Martin-DowneySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Amisha PatelSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Haden ArcherSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Sara J Davila SeverianoSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Pamela Peralta-YahyaSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-0356-2274

Funding

Olfactory receptor-based sensors for biomedical applicationsR35GM124871 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI Pamela Peralta-Yahya · 2017 to 2026
$3.6M
NIGMS NIH HHS R35 GM124871
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) recognize ligands on the cell surface, initiating intracellular signaling pathways that control a variety of biological processes, from neurotransmission and hormone regulation to light detection and smell. As entryways into these pathways, GPCRs are key pharmacological targets, with 30% of FDA-approved drugs targeting them. High-throughput GPCR-based sensors in yeast are proven platforms for the identification of novel GPCR ligands. Most human GPCRs (hGPCRs), however, led to small increases in the signal after activation, hindering the development of high-throughput (HT) assays. To streamline the generation of HT assays for biomedically important hGPCRs, here we analyze five fluorescent reporters in the context of hGPCR-based sensors. Using the serotonin receptor 4 (HTR4)-based sensor as a testbed, we identify YPet, a yellow fluorescent protein previously evolved for improved intracellular fluorescence, as the optimal fluorescent reporter when using flow cytometry, fluorescence-activated cell sorting, or a fluorescent plate reader. YPet increases the dynamic range of hGPCR-based sensors in general, enabling the engineering of HTR4-, MC4R- S1PR2-, HTR1A-, and Mel1A-based sensors with vastly higher increases in signal than previously engineered sensors. YPet even allowed the construction of a functional HTR1D-based sensor, a sensor that had been difficult for the field to construct. Finally, the fast maturation of YPet reduces the time to readout from 4 h to 30 min, unlocking point-of-care diagnostic applications previously inaccessible to hGPCR-based sensors in yeast. Looking ahead, the identification of YPet as the optimal fluorescent reporter for yeast hGPCR-based sensors opens the door to the standardized generation of hGPCR high-throughput assays in this host, and sets the stage for ultrahigh-throughput single-cell experiments toward the identification of new ligands for known GPCRs, GPCR deorphanization, and GPCR engineering to bind designer ligands.

Indexed as

Biosensing TechniquesReceptors, G-Protein-CoupledSaccharomyces cerevisiaeBacterial ProteinsFlow CytometryFluorescent DyesHigh-Throughput Screening AssaysHumansLigandsLuminescent ProteinsBacterial ProteinsFluorescent DyesLigandsLuminescent ProteinsReceptors, G-Protein-Coupledbiosensorsfluorescent proteinshuman GPCRsyeast

Identifiers

PMID41396999
PMCPMC12814776

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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 OpenQuestion graph.