Evidence map›Paper›PMID 33684219›Full record

ArticleNucleic acids research2021

Identification of permissive amber suppression sites for efficient non-canonical amino acid incorporation in mammalian cells.

Michael D Bartoschek, Enes Ugur, Tuan-Anh Nguyen, Geraldine Rodschinka, Michael Wierer, Kathrin Lang, Sebastian Bultmann

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

40 citing papers in PubMed, 58 citations in OpenAlex.

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  13. Light-Activatable Ubiquitin for Studying Linkage-Specific Ubiquitin Chain Formation Kinetics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  18. Activity-Based Acylome Profiling withJournal of the American Chemical Society · 2024
    Article
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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

7 authors at 3 institutions in 1 country.

Michael D BartoschekDepartment of Biology II and Center for Molecular Biosystems (BioSysM), Human Biology and BioImaging, Ludwig-Maximilians-Universität München, Munich 81377, Germany.ORCID 0000-0003-4238-3970
Enes UgurDepartment of Biology II and Center for Molecular Biosystems (BioSysM), Human Biology and BioImaging, Ludwig-Maximilians-Universität München, Munich 81377, Germany.ORCID 0000-0003-1950-8712
Tuan-Anh NguyenDepartment of Chemistry, Synthetic Biochemistry, Technical University of Munich, Garching 85748, Germany.
Geraldine RodschinkaDepartment of Biology II and Center for Molecular Biosystems (BioSysM), Human Biology and BioImaging, Ludwig-Maximilians-Universität München, Munich 81377, Germany.
Michael WiererDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried 82152, Germany.ORCID 0000-0002-0356-5571
Kathrin LangDepartment of Chemistry, Synthetic Biochemistry, Technical University of Munich, Garching 85748, Germany.ORCID 0000-0002-1318-6567
Sebastian BultmannDepartment of Biology II and Center for Molecular Biosystems (BioSysM), Human Biology and BioImaging, Ludwig-Maximilians-Universität München, Munich 81377, Germany.ORCID 0000-0002-5681-1043
Ludwig-Maximilians-Universität München · DEMax Planck Institute of Biochemistry · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic code of mammalian cells can be expanded to allow the incorporation of non-canonical amino acids (ncAAs) by suppressing in-frame amber stop codons (UAG) with an orthogonal pyrrolysyl-tRNA synthetase (PylRS)/tRNAPylCUA (PylT) pair. However, the feasibility of this approach is substantially hampered by unpredictable variations in incorporation efficiencies at different stop codon positions within target proteins. Here, we apply a proteomics-based approach to quantify ncAA incorporation rates at hundreds of endogenous amber stop codons in mammalian cells. With these data, we compute iPASS (Identification of Permissive Amber Sites for Suppression; available at www.bultmannlab.eu/tools/iPASS), a linear regression model to predict relative ncAA incorporation efficiencies depending on the surrounding sequence context. To verify iPASS, we develop a dual-fluorescence reporter for high-throughput flow-cytometry analysis that reproducibly yields context-specific ncAA incorporation efficiencies. We show that nucleotides up- and downstream of UAG synergistically influence ncAA incorporation efficiency independent of cell line and ncAA identity. Additionally, we demonstrate iPASS-guided optimization of ncAA incorporation rates by synonymous exchange of codons flanking the amber stop codon. This combination of in silico analysis followed by validation in living mammalian cells substantially simplifies identification as well as adaptation of sites within a target protein to confer high ncAA incorporation rates.

Indexed as

Genetic CodeAmino AcidsAnimalsCell LineCodonCodon, TerminatorComputer SimulationEmbryonic Stem CellsFlow CytometryGenes, ReporterHEK293 CellsHumansLinear ModelsMiceMutationProteomicsAmino AcidsCodonCodon, Terminator

Identifiers

PMID33684219
PMCPMC8216290
OpenAlexW3135431829

What OpenQuestion holds

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LicenceCC BY
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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.