Detection of hormone receptor ligands in yeast by fluorogenic methods

• Published in: Talanta (Oxford) Vol. 69; no. 2; pp. 351 - 358
• Main Authors: Noguerol, Tania-Noelia, Boronat, Susanna, Jarque, Sergio, Barceló, Damià, Piña, Benjamin
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier B.V 15.04.2006; Oxford Elsevier
• Subjects: Analytical chemistry; Applied sciences; Chemistry; Endocrine disruption; Exact sciences and technology; Global environmental pollution; Hormonal response; Nuclear receptors; Pollution; Reporter genes; Xenoestrogen; β-galactosidase; Endocrine disruption; Reporter genes; β-galactosidase; Hormonal response; Nuclear receptors; Xenoestrogen; Hormone; Data analysis; Fluorescence detector; Statistical analysis; Bioassay; Estrogen; Biological indicator; p-galactosidase; Accuracy; Environment; Monitoring; Quantitative analysis
• ISSN: 0039-9140; 1873-3573
• DOI: 10.1016/j.talanta.2005.09.044

Yeast-based bioassays are becoming widespread tools for detection and quantification of ligands for vertebrate nuclear hormone receptors, including estrogens, progestans, androgens and dioxin-like compounds, both for agonistic and for antagonistic effects. These systems rely on the monitoring of transcription rates of reporter genes whose expression in yeast depends on binding of receptors to their natural or xenobiotic ligands. Among the different methods to quantify reporter gene transcription, those based on fluorescence detection are fast, very sensitive and reproducible. We propose a fast method for ligand detection for different vertebrate receptors in yeast, based on the use of fluorogenic substrates for the widely used reporter β-galactosidase gene. In this method, β-galactosidase activity is calculated from kinetic data, rather than from end-point measurements, which increases accuracy and facilitates the statistical analysis of the data. It also provides statistically rigorous procedures to distinguish between active and inactive compounds and to evaluate the fitness of the data to alternative models of dose/response mechanisms. All these features combined configure a flexible, fast (less than three hours for some systems) and reproducible method to evaluate the presence of potential endocrine disruptors in the environment.