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Expanding the genetic code of Salmonella with non-canonical amino acids

Authors: Qinglei Gan; Brent P. Lehman; Thomas A. Bobik; Chenguang Fan;

Expanding the genetic code of Salmonella with non-canonical amino acids

Abstract

AbstractThe diversity of non-canonical amino acids (ncAAs) endows proteins with new features for a variety of biological studies and biotechnological applications. The genetic code expansion strategy, which co-translationally incorporates ncAAs into specific sites of target proteins, has been applied in many organisms. However, there have been only few studies on pathogens using genetic code expansion. Here, we introduce this technique into the human pathogen Salmonella by incorporating p-azido-phenylalanine, benzoyl-phenylalanine, acetyl-lysine, and phosphoserine into selected Salmonella proteins including a microcompartment shell protein (PduA), a type III secretion effector protein (SteA), and a metabolic enzyme (malate dehydrogenase), and demonstrate practical applications of genetic code expansion in protein labeling, photocrosslinking, and post-translational modification studies in Salmonella. This work will provide powerful tools for a wide range of studies on Salmonella.

Related Organizations
Keywords

Bacterial Proteins, Genetic Code, Salmonella, Amino Acids, Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Average
Top 10%
Green
gold