Development of a yeast-based sensor platform for evaluation of ligands recognized by the human free fatty acid 2 receptor
Journal article, 2025

Yeast-based sensors have shown great applicability for deorphanization of G protein-coupled receptors (GPCRs) and screening of ligands targeting these. A GPCR of great interest is free fatty acid 2 receptor (FFA2R), for which short-chain fatty acids such as propionate and acetate are agonists. FFA2R regulates a wide array of downstream receptor signaling pathways in both adipose tissue and immune cells and has been recognized as a promising therapeutic target, having been implicated in several metabolic and inflammatory diseases. While research aiming to identify ligands recognized by FFA2R for translational applications is ongoing, screening is complicated by the complex regulatory and cell-specific responses mediated by the receptor. To simplify screening towards identification of novel ligands, heterologous platforms are valuable tools that offer efficient identification of ligand activity in the absence of regulatory mechanisms. Here, we present a yeast-based sensor designed to evaluate G protein alpha i1-mediated FFA2R signaling, with an assay time of 3 h. We verify this platform towards the natural agonists, propionate and acetate, and show applicability towards evaluation of synthetic agonists, antagonists, and allosteric agonists. As such, we believe that the developed yeast strain constitutes a promising screening platform for effective evaluation of ligands acting on FFA2R. A yeast platform was developed for evaluation of ligands modulating the human free fatty acid 2 receptor activity, in a system devoid of regulatory mechanisms and crosstalk.

GPR43

ligand screening

FFAR2

yeast mating pathway

biosensors

GPCR

Author

Andrea Clausen Lind

Chalmers, Life Sciences, Systems and Synthetic Biology

Davi de Castro Gomes

State University of Campinas

Ricardo Bisquert Alcaraz

Chalmers, Life Sciences, Systems and Synthetic Biology

Jonas Mårtensson

University of Gothenburg

Martina Sundqvist

University of Gothenburg

Huamei Forsman

University of Gothenburg

Claes Dahlgren

University of Gothenburg

Florian David

Chalmers, Life Sciences, Systems and Synthetic Biology

Verena Siewers

Chalmers, Life Sciences, Systems and Synthetic Biology

FEMS Yeast Research

1567-1356 (ISSN) 1567-1364 (eISSN)

Vol. 25 foaf001

Yeast-based biosensors for the specific and accessible detection of pathogens and antimicrobial resistance

Swedish Research Council (VR) (2019-00304), 2019-12-01 -- 2021-12-31.

Subject Categories (SSIF 2025)

Chemical Sciences

DOI

10.1093/femsyr/foaf001

PubMed

39824656

Related datasets

FFA2Ranalysis [dataset]

URI: https://github.com/AndreaClausenLind/FFA2Ranalysis

More information

Latest update

2/13/2025