Sign in
Synthetic BiologybioRxiv
Preprint

A facile platform to engineer E. coli tyrosyl-tRNA synthetase adds new chemistries to the eukaryotic genetic code, including a phosphotyrosine mimic

Katherine T. Grasso, Soumya Jyoti Singha RoyiD, Megan J. R. YeoiD, Chintan SoniiD, Arianna O. OsgoodiD, Christen M. Hillenbrand, Abhishek ChatterjeeiD

Abstract

The E. coli tyrosyl-tRNA synthetase (EcTyrRS)/tRNAEcTyr pair offers an attractive platform to genetically encode new noncanonical amino acids (ncAA) in eukaryotes. However, challenges associated with a eukaryotic selection system, which is needed for its engineering, has impeded its success in the past. Recently, we showed that EcTyrRS can be engineered using a facile E. coli based selection system, in a strain where the endogenous tyrosyl pair has been substituted with an archaeal counterpart. However, a significant cross-reactivity between the UAG-suppressing tRNACUAEcTyr and the bacterial glutaminyl-tRNA synthetase limited the scope of this strategy, preventing the selection of moderately active EcTyrRS mutants. Here we report an engineered tRNACUAEcTyr that overcomes this cross-reactivity. Optimized selection systems using this tRNA enabled efficient enrichment of both strongly and weakly active ncAA-selective EcTyrRS mutants. We also developed a wide-dynamic range (WiDR) antibiotic selection to further enhance the activities of the weaker first-generation EcTyrRS mutants. We demonstrated the utility of our platform by developing several new EcTyrRS mutants that efficiently incorporate useful ncAAs in mammalian cells, including photo-affinity probes, bioconjugation handles, and a non-hydrolyzable mimic of phosphotyrosine.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISFicaretta '24Grasso '21Huang '24Stieglitz '22Furuhata '26Soni '24
81% semantic matchSynthetic Biology