Evidence map›Paper›PMID 30139255›Full record

ArticleACS synthetic biology2018

A Robust and Quantitative Reporter System To Evaluate Noncanonical Amino Acid Incorporation in Yeast.

Jessica T Stieglitz, Haixing P Kehoe, Ming Lei, James A Van Deventer

Abstract read
In one paragraph

Article in ACS synthetic biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

  1. Pharmacophore-driven antibody discovery on the yeast surface.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jessica T StieglitzChemical and Biological Engineering Department , Tufts University , Medford , Massachusetts 02155 , United States.ORCID 0000-0003-3845-0712
Haixing P KehoeChemical and Biological Engineering Department , Tufts University , Medford , Massachusetts 02155 , United States.ORCID 0000-0002-3598-3700
Ming LeiChemical and Biological Engineering Department , Tufts University , Medford , Massachusetts 02155 , United States.ORCID 0000-0002-0275-5605
James A Van DeventerChemical and Biological Engineering Department , Tufts University , Medford , Massachusetts 02155 , United States.ORCID 0000-0003-4343-6157

Funding

A Machine-Learning Based Software Widget for Resolving Metabolite IdentitiesR03CA211839 · NCI · TUFTS UNIVERSITY MEDFORD · PI LEE, KYONGBUM · 2016 to 2016
$148k
NCI NIH HHS R03 CA211839
6 · The paper itself

Abstract

Engineering protein translation machinery to incorporate noncanonical amino acids (ncAAs) into proteins has advanced applications ranging from proteomics to single-molecule studies. As applications of ncAAs emerge, efficient ncAA incorporation is crucial to exploiting unique chemistries. We have established a quantitative reporter platform to evaluate ncAA incorporation in response to the TAG (amber) codon in yeast. This yeast display-based reporter utilizes an antibody fragment containing an amber codon at which a ncAA is incorporated when the appropriate orthogonal translation system (OTS) is present. Epitope tags at both termini allow for flow cytometry-based end point readouts of OTS efficiency and fidelity. Using this reporter, we evaluated several factors that influence amber suppression, including the amber codon position and different aminoacyl-tRNA synthetase/tRNA (aaRS/tRNA) pairs. Interestingly, previously described aaRSs that evolved from different parent enzymes to incorporate O-methyl-l-tyrosine exhibit vastly different behavior. Escherichia coli leucyl-tRNA synthetase variants demonstrated efficient incorporation of a range of ncAAs, and we discovered unreported activities of several variants. Compared to a plate reader-based reporter, our assay yields more precise bulk-level measurements while also supporting single-cell readouts compatible with cell sorting. This platform is expected to allow quantitative elucidation of principles dictating efficient stop codon suppression and evolution of next-generation stop codon suppression systems to further enhance genetic code manipulation in eukaryotes. These efforts will improve our understanding of how the genetic code can be further evolved while expanding the range of chemical diversity available in proteins for applications ranging from fundamental epigenetics studies to engineering new classes of therapeutics.

Indexed as

Amino AcidsAmino Acyl-tRNA SynthetasesBacterial ProteinsCodon, TerminatorEscherichia coliGenes, ReporterPlasmidsProtein EngineeringRNA, TransferSaccharomyces cerevisiaeAmino AcidsAmino Acyl-tRNA SynthetasesBacterial ProteinsCodon, TerminatorRNA, Transferamber suppressionaminoacyl-tRNA synthetaseexpanded genetic codenoncanonical amino acidsyeast display

Identifiers

PMID30139255
PMCPMC6214617

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.