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Wentao Shen

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Jul 2026

Precursor supply and translational machinery engineering of Saccharomyces cerevisiae for improving cellular protein content and biomass-based microbial protein bioproduction.

A multilevel engineering strategy to enhance yeast protein production by optimizing precursor supply, translation machinery, and diploid construction provides both improved protein content and key targets for breeding high-protein microbial strains.

Yang Liu, Cai-Ying Jin, Wentao Shen et al. · 1 citation
#protein folding Open access Aug 2026

Ribosome engineering enhances genetic code expansion in Saccharomyces cerevisiae

Genetic code expansion enables the site-specific installation of noncanonical amino acids (ncAAs) into proteins, but its limited efficiency in eukaryotes remains a major barrier to broader application. Here we establish a visual, plug-and-play screening platform to evolve 18S ribosomal DNA in Saccharomyces cerevisiae and identify ribosomal variants that improve ncAA incorporation. The best-performing strain, designated ribo-hyper, increased ncAA-dependent GFP production by 2.9-fold relative to the wild-type rDNA strain and enhanced incorporation across distinct orthogonal aminoacyl-tRNA synthetase/tRNA pairs. Characterization of ribo-hyper showed that global translation activity and cellular growth were moderately reduced. Proteomic analysis further revealed changes in amino acid biosynthesis, translation-related proteins and stress-response pathways, indicating that the engineered ribosome reshapes cellular translation homeostasis. Perturbation of translation quality-control pathways, including the ribosome-rescue factors Dom34 and Hbs1 and the core mRNA exosome component Ski6, reduced ncAA-containing protein output, whereas disruption of ribosome quality-control factor Rqc2 had little effect. These findings support a role for ribosome rescue and associated mRNA turnover in efficient ncAA incorporation in the ribo-hyper strain. Together, our results establish eukaryotic ribosome engineering as a viable strategy for improving genetic code expansion in yeast.

Xiao-Xu Chen, Wentao Shen, Xian-Qing Chen et al. · 0 citations

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