Dataset Information

Protein evolution with an expanded genetic code.

ABSTRACT: We have devised a phage display system in which an expanded genetic code is available for directed evolution. This system allows selection to yield proteins containing unnatural amino acids should such sequences functionally outperform ones containing only the 20 canonical amino acids. We have optimized this system for use with several unnatural amino acids and provide a demonstration of its utility through the selection of anti-gp120 antibodies. One such phage-displayed antibody, selected from a naïve germline scFv antibody library in which six residues in V(H) CDR3 were randomized, contains sulfotyrosine and binds gp120 more effectively than a similarly displayed known sulfated antibody isolated from human serum. These experiments suggest that an expanded "synthetic" genetic code can confer a selective advantage in the directed evolution of proteins with specific properties.

SUBMITTER: Liu CC

PROVIDER: S-EPMC2584696 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature

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Protein evolution with an expanded genetic code.

Liu Chang C CC Mack Antha V AV Tsao Meng-Lin ML Mills Jeremy H JH Lee Hyun Soo HS Choe Hyeryun H Farzan Michael M Schultz Peter G PG Smider Vaughn V VV

Proceedings of the National Academy of Sciences of the United States of America 20081111 46

We have devised a phage display system in which an expanded genetic code is available for directed evolution. This system allows selection to yield proteins containing unnatural amino acids should such sequences functionally outperform ones containing only the 20 canonical amino acids. We have optimized this system for use with several unnatural amino acids and provide a demonstration of its utility through the selection of anti-gp120 antibodies. One such phage-displayed antibody, selected from ...[more]

PMID: 19004806

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Project description:Cardiovascular disease (CVD) has been linked to animal-based diets, which are a major source of trimethylamine (TMA), a precursor of the proatherogenic compound trimethylamine-N-oxide (TMAO). Human gut bacteria in the genus Bilophila have genomic signatures for genetic code expansion that could enable them to metabolize both TMA and its precursors without production of TMAO. We uncovered evidence that the Bilophila demethylation pathway is actively transcribed in gut microbiomes and that animal-based diets cause Bilophila to rapidly increase in abundance. CVD occurrence and Bilophila abundance in humans were significantly negatively correlated. These data lead us to propose that Bilophila, which is commonly regarded as a pathobiont, may play a role in mitigating cardiovascular disease. Human gut microbiomes have been shown to affect the development of a myriad of disease states, but mechanistic connections between diet, health, and microbiota have been challenging to establish. The hypothesis that Bilophila reduces cardiovascular disease by circumventing TMAO production offers a clearly defined mechanism with a potential human health impact, but investigations of Bilophila cell biology and ecology will be needed to fully evaluate these ideas.IMPORTANCE Links between trimethylamine-N-oxide (TMAO) and cardiovascular disease (CVD) have focused attention on mechanisms by which animal-based diets have negative health consequences. In a meta-analysis of data from foundational gut microbiome studies, we found evidence that specialized bacteria have and express a metabolic pathway that circumvents TMAO production and is often misannotated because it relies on genetic code expansion. This naturally occurring mechanism for TMAO attenuation is negatively correlated with CVD. Ultimately, these findings point to new avenues of research that could increase microbiome-informed understanding of human health and hint at potential biomedical applications in which specialized bacteria are used to curtail CVD development.

Dataset Information

Protein evolution with an expanded genetic code.

Publications

Protein evolution with an expanded genetic code.

Similar Datasets

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