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Simplified Construction of Engineered Host for Improved Expression of Proteins Harboring Noncanonical Amino Acids. | LitMetric

Simplified Construction of Engineered Host for Improved Expression of Proteins Harboring Noncanonical Amino Acids.

ACS Synth Biol

Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, 100081 Beijing, China.

Published: February 2023

The UAG-based genetic code expansion (GCE) enables site-specific incorporation of noncanonical amino acids (ncAAs) harboring novel chemical functionalities in specific target proteins. However, most GCE studies were done in several whole-genome engineered chassis cells whose hundreds of UAG stop codons were systematically edited to UAA to avoid readthrough in protein synthesis in the presence of GCE. The huge workload of removing all UAG limited the application of GCE in other microbial cell factories (MCF) such as , which has 607 genes ended with UAG among its 4245 coding genes. Although the 257 essential genes count only 6.1% of the genes in , they transcribe 12.2% of the mRNAs and express 52.1% of the proteins under the exponential phase. Here, we engineered a strain named Bs-22 in which all 22 engineerable UAG stop codons in essential genes were edited to UAA via CRISPR/Cas9-mediated multiple-site engineering to minimize the negative effect of GCE on the expression of essential genes. Besides the process of constructing GCE-compatible was systematically optimized. Compared with wild-type (Bs-WT), the fluorescence signal of the eGFP expression could enhance 2.25-fold in Bs-22, and the production of protein tsPurple containing l-(7-hydroxycoumarin-4-yl) ethylglycine (Cou) was increased 2.31-fold in Bs-22. We verified that all purified tsPurple proteins from Bs-22 contained Cou, indicating the excellent fidelity of the strategy. This proof-of-concept study reported efficient overexpression of ncAA-rich proteins in MCF with minimized engineering, shedding new light on solving the trade-off between efficiency and workload.

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Source
http://dx.doi.org/10.1021/acssynbio.2c00604DOI Listing

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