Skip to content
DraconiticResearch
Search Sources API
201,683 studies31 sourcesUpdated 56 min ago
PreprintCC BY-NDbioRxiv

Heterologous engineering of receptors using OrthoRep (HERO) for directed evolution of GPCRs in yeast

  1. 1Concordia University

Abstract

Engineering G protein-coupled receptors (GPCRs) for biosensing applications remains challenging due to structural and functional constraints when such proteins are expressed in a heterologous host. OrthoRep offers the continuous accumulation and selection of signal-enhancing mutations in yeast, yet it has not been applied to GPCR evolution. We apply OrthoRep-driven mutagenesis to evolve opioid GPCRs and improve yeast-based biosensors: first, we express the human -opioid receptor (OPRM1) on the OrthoRep p1 plasmid and couple ligand activation to growth. Serial cell passaging of the biosensor generated functionally diverse mutants. However, mutations that decouple receptor activation from selection arose over longer passaging campaigns, halting evolution. We resolve this issue using a site-specific recombinase that re-introduces evolved variants onto the p1 landing pad of an unmutated biosensor, allowing continued selection. This led to an ~18-fold improvement in sensitivity of a mutant OPRM1 over wt-OPRM1. Additional polymerases were added to the platform, broadening the mutational profiles available. Assembling these components forms the platform we call HERO (Heterologous Engineering of Receptors using OrthoRep). Lastly, we deploy HERO using automation to improve the human {delta}-opioid receptor's weak response to an agonist by ~40-fold. Sensitivity also improved for a structurally dissimilar ligand assayed on the same evolved variants.

Related

  1. Machine learning-assisted directed evolution yields dramatic improvement on novel AAV engineering task
    M. R. Luchner, I. Vorobieva, R. Makkar +6
    bioRxivPreprintCC BY-NCFull textSystems & synthetic biologybioRxiv
  2. Directed evolution of a thermostable family-A DNA polymerase into a reverse transcriptase for 2'-modified RNA
    E. Vincent, C. Lopez, R. Sieskind +4
    bioRxivPreprintAll rights reservedFull textSystems & synthetic biologyGeneral chemistrybioRxivHAL
  3. Engineering Mosaic T7 Bacteriophages for Dual Peptide Display to Enable Cellular Targeting and Ligand-Directed Protein Capture.
    Luca Marchetti, Kristina Põšnograjeva, Prakash Lingasamy +3
    Biotechnology journalPeer-reviewedCC BYFull textEcologyEurope PMCPMC
  4. Directed Evolution of Multimodal Plastic Degrading Enzymes
    C. J. Petersson, E. J. Petersson
    bioRxivPreprintCC BYFull textSystems & synthetic biologybioRxiv
  5. Linear Fitness Subspace in Protein Language Models Enables Sample-Efficient Directed Evolution
    SiYuan Ma, Canran Xiao, Zikai Xiao +5
    arXivPreprintCC BY 4.0Full textBioinformatics & computational biologyarXiv
BibTeX
@misc{dykstra2026heterologous,
  title = {{Heterologous engineering of receptors using OrthoRep (HERO) for directed evolution of GPCRs in yeast}},
  author = {C. Dykstra and B. D. M. Bean and O. Rousseau and F. Araujo and D. Masoud and C. C. Liu and M. Whiteway and V. J. J. Martin},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.30.755785},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.30.755785v1},
  note = {CC BY-ND},
}
RIS
TY  - UNPB
TI  - Heterologous engineering of receptors using OrthoRep (HERO) for directed evolution of GPCRs in yeast
AU  - C. Dykstra
AU  - B. D. M. Bean
AU  - O. Rousseau
AU  - F. Araujo
AU  - D. Masoud
AU  - C. C. Liu
AU  - M. Whiteway
AU  - V. J. J. Martin
PY  - 2026
DA  - 2026/09/30
PB  - bioRxiv
DO  - 10.64898/2026.09.30.755785
UR  - https://www.biorxiv.org/content/10.64898/2026.09.30.755785v1
AB  - Engineering G protein-coupled receptors (GPCRs) for biosensing applications remains challenging due to structural and functional constraints when such proteins are expressed in a heterologous host. OrthoRep offers the continuous accumulation and selection of signal-enhancing mutations in yeast, yet it has not been applied to GPCR evolution. We apply OrthoRep-driven mutagenesis to evolve opioid GPCRs and improve yeast-based biosensors: first, we express the human -opioid receptor (OPRM1) on the OrthoRep p1 plasmid and couple ligand activation to growth. Serial cell passaging of the biosensor generated functionally diverse mutants. However, mutations that decouple receptor activation from selection arose over longer passaging campaigns, halting evolution. We resolve this issue using a site-specific recombinase that re-introduces evolved variants onto the p1 landing pad of an unmutated biosensor, allowing continued selection. This led to an ~18-fold improvement in sensitivity of a mutant OPRM1 over wt-OPRM1. Additional polymerases were added to the platform, broadening the mutational profiles available. Assembling these components forms the platform we call HERO (Heterologous Engineering of Receptors using OrthoRep). Lastly, we deploy HERO using automation to improve the human {delta}-opioid receptor's weak response to an agonist by ~40-fold. Sensitivity also improved for a structurally dissimilar ligand assayed on the same evolved variants.
ER  -