4.7 Article

Site-Specific Incorporation of Selenocysteine by Genetic Encoding as a Photocaged Unnatural Amino Acid

Journal

BIOCONJUGATE CHEMISTRY
Volume 29, Issue 7, Pages 2257-2264

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.bioconjchem.8b00254

Keywords

-

Funding

  1. Australian Research Council

Ask authors/readers for more resources

Selenocysteine (Sec) is a naturally occurring amino acid that is also referred to as the 21st amino acid. Site specific incorporation of Sec into proteins is attractive, because the reactivity of a selenol group exceeds that of a thiol group and thus allows site-specific protein modifications. It is incorporated into proteins by an unusual enzymatic mechanism which, in E. coli and other organisms, involves the recognition of a selenocysteine insertion sequence (SECTS) in the mRNA of the target protein. Reengineering of the natural machinery for Sec incorporation at arbitrary sites independent of SECIS elements, however, is challenging. Here we demonstrate an alternative route, whereby a photocaged selenocysteine (PSc) is incorporated as an unnatural amino acid in response to an amber stop codon, using a mutant Methanosarcina mazei pyrrolysyl-tRNA synthetase, Mm PCC2RS, and its cognate tRNAcuA. Following decaging by UV irradiation, proteins synthesized with PSc are readily tagged, e.g., with NMR probes to study ligand binding by NMR spectroscopy. The approach provides a facile route for genetically encoded Sec incorporation. It allows the production of pure selenoproteins and the Sec residue enables site-specific covalent protein modification with reagents that would usually react first with naturally occurring cysteine residues. The much greater reactivity of Sec residues allows their selective alkylation in the presence of highly solvent exposed cysteine residues.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available