Roy Eerlings, Xiao Yin Lee, Wout Van Eynde, Lisa Moris, Sarah El Kharraz, Elien Smeets, Wout Devlies, Frank Claessens, Kevin J Verstrepen, Arnout Voet, Christine Helsen
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引用次数: 0
Abstract
Bisphenols are widely used in manufacturing plastics and resins, but their environmental persistence raises concerns to human health and ecosystems. Accurate measurements for bisphenols are crucial for effective monitoring and regulation. Analytical methods detect only preselected bisphenols, while bioassays assessing estrogen receptor α activation suffer from poor sensitivity and strong background signals due to estrogenic contaminations. To develop a bioassay in Saccharomyces cerevisiae with increased sensitivity and specificity for bisphenols, we performed multi-site directed mutagenesis and directed evolution of more than 108 stably integrated estrogen receptor variants. By mutating the estrogen receptor α towards recognition of bisphenol A in yeast, we determined the preBASE variant (M421G_V422G_V533D_L536G_Y537S) with elevated bisphenol A sensitivity (EC50:329 nM) and lost estrogen responsiveness (EC50:0,17 mM). Further engineering yielded an off-target mutant, identified as the Bisphenol-Affinity and Specificity-Enhanced (BASE) variant (M421G_V422G_V533D_L536G_Y537S_L544I) that uses bisphenols as its primary agonist (EC50:32 mM) and impaired estrogen sensitivity (EC50:85M). The rewiring into a bisphenol receptor was confirmed in ligand binding assays to purified ligand binding domains. Taken together, the identified variants form stepping stones for further protein engineering to generate bisphenol specific high-throughput yeast-based bioassays.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.