Nature Communications (Oct 2023)

Repurposing conformational changes in ANL superfamily enzymes to rapidly generate biosensors for organic and amino acids

  • Jin Wang,
  • Ning Xue,
  • Wenjia Pan,
  • Ran Tu,
  • Shixin Li,
  • Yue Zhang,
  • Yufeng Mao,
  • Ye Liu,
  • Haijiao Cheng,
  • Yanmei Guo,
  • Wei Yuan,
  • Xiaomeng Ni,
  • Meng Wang

DOI
https://doi.org/10.1038/s41467-023-42431-y
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 15

Abstract

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Abstract Biosensors are powerful tools for detecting, real-time imaging, and quantifying molecules, but rapidly constructing diverse genetically encoded biosensors remains challenging. Here, we report a method to rapidly convert enzymes into genetically encoded circularly permuted fluorescent protein-based indicators to detect organic acids (GECFINDER). ANL superfamily enzymes undergo hinge-mediated ligand-coupling domain movement during catalysis. We introduce a circularly permuted fluorescent protein into enzymes hinges, converting ligand-induced conformational changes into significant fluorescence signal changes. We obtain 11 GECFINDERs for detecting phenylalanine, glutamic acid and other acids. GECFINDER-Phe3 and GECFINDER-Glu can efficiently and accurately quantify target molecules in biological samples in vitro. This method simplifies amino acid quantification without requiring complex equipment, potentially serving as point-of-care testing tools for clinical applications in low-resource environments. We also develop a GECFINDER-enabled droplet-based microfluidic high-throughput screening method for obtaining high-yield industrial strains. Our method provides a foundation for using enzymes as untapped blueprint resources for biosensor design, creation, and application.