ArticleACS synthetic biology2018
A Robust and Quantitative Reporter System To Evaluate Noncanonical Amino Acid Incorporation in Yeast.
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.
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.
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.
Who cites it
32 citing papers in PubMed.
- Pharmacophore-driven antibody discovery on the yeast surface.bioRxiv : the preprint server for biology · 2025Article
- High throughput screening of eukaryotic release factor 1 variants to enhance noncanonical amino acid incorporation.bioRxiv : the preprint server for biology · 2025Article
- Residue-Specific Incorporation of Noncanonical Amino Acids in Auxotrophic Hosts:Chemical reviews · 2025Review
- Directed evolution of aminoacyl-tRNA synthetases through in vivo hypermutation.Nature communications · 2025Article
- Design, Construction, and Validation of a Yeast-Displayed Chemically Expanded Antibody Library.ACS synthetic biology · 2025Article
- Optimized Directed Evolution of E. coli leucyl-tRNA Synthetase adds many Noncanonical Amino Acids into the Eukaryotic Genetic Code Including Ornithine and NAngewandte Chemie (International ed. in English) · 2025Article
- Strategies to Expand the Genetic Code of Mammalian Cells.Chemical reviews · 2025Review
- Reaching New Heights in Genetic Code Manipulation with High Throughput Screening.Chemical reviews · 2024Review
- Design, Construction, and Validation of a Yeast-Displayed Chemically Expanded Antibody Library.bioRxiv : the preprint server for biology · 2024Article
- Systematic Evaluation of Protein-Small Molecule Hybrids on the Yeast Surface.ACS chemical biology · 2024Article
- Protein Engineering and High-Throughput Screening by Yeast Surface Display: Survey of Current Methods.Small science · 2023Article
- A robust yeast biocontainment system with two-layered regulation switch dependent on unnatural amino acid.Nature communications · 2023Article
- Dual Noncanonical Amino Acid Incorporation Enabling Chemoselective Protein Modification at Two Distinct Sites in Yeast.Biochemistry · 2023Article
- Rapid Evaluation of Staple Placement in Stabilized α Helices Using Bacterial Surface Display.ACS chemical biology · 2023Article
- Flow cytometric evaluation of yeast-bacterial cell-cell interactions.Biotechnology and bioengineering · 2023Article
- Strategies for enriching and characterizing proteins with inhibitory properties on the yeast surface.Protein engineering, design & selection : PEDS · 2023Article
- Yeast Display Enables Identification of Covalent Single-Domain Antibodies against Botulinum Neurotoxin Light Chain A.ACS chemical biology · 2022Article
- Genome-Wide Screen for Enhanced Noncanonical Amino Acid Incorporation in Yeast.ACS synthetic biology · 2022Article
- Systematic dissection of key factors governing recombination outcomes by GCE-SCRaMbLE.Nature communications · 2022Article
- High-Throughput Aminoacyl-tRNA Synthetase Engineering for Genetic Code Expansion in Yeast.ACS synthetic biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.