4.7 Article

GPCR-FEX: A Fluoride-Based Selection System for Rapid GPCR Screening and Engineering

Journal

ACS SYNTHETIC BIOLOGY
Volume 11, Issue 1, Pages 39-45

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acssynbio.1c00030

Keywords

G-protein coupled receptor; directed evolution; antibiotic selection; fluoride

Funding

  1. NIH [S10OD010610-01A1]
  2. U.S. Department of Energy [DE-SC0020420]
  3. National Science Foundation Graduate Research Fellowship [1650114]
  4. U.S. Department of Energy (DOE) [DE-SC0020420] Funding Source: U.S. Department of Energy (DOE)

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The directed evolution of proteins is limited by library size and screening ability. The GPCR-FEX platform couples GPCR signaling to expression of a fluoride ion exporter (FEX)-GFP fusion gene, allowing rapid, inexpensive screening of receptor libraries. This platform depletes inactive GPCR variants from the library and enables the rapid engineering of GPCRs, which are important cellular sensors for synthetic biology.
The directed evolution of proteins comprises a search of sequence space for variants that improve a target phenotype, yet identification of desirable variants is inherently limited by library size and screening ability. Selections that couple protein phenotype to cell viability accelerate identification of promising variants by depleting libraries of undesirable variants en masse. Here, we introduce GPCR-FEX, a stringent selection platform that couples G-protein coupled receptor (GPCR) signaling to expression of a fluoride ion exporter (FEX)-GFP fusion gene and concomitant cellular fluoride tolerance in yeast. The GPCR-FEX platform works to deplete inactive GPCR variants from the library prior to high-throughput fluorescence-based cell sorting for rapid, inexpensive screening of receptor libraries that sample an expanded sequence space. Using this system, FEX1 was placed under the control of either P-FUS1 or P-FIG1, promoters activated upon agonist binding by the native yeast GPCRs, Ste2p or Ste3p. Addition of a C-terminal degron to FEX1p enhanced the dynamic range of cell growth between agonist-treated and untreated cells. Using deep sequencing to enumerate population members, we show rapid selection of a previously engineered Ste2p receptor mutant strain over wild-type Ste2p in a model library enrichment experiment. Overall, the GPCR-FEX platform provides a mechanism to rapidly engineer GPCRs, which are important cellular sensors for synthetic biology.

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