Evidence map›Paper›PMID 34426682›Full record

ArticleNature chemistry2021

A 68-codon genetic code to incorporate four distinct non-canonical amino acids enabled by automated orthogonal mRNA design.

Daniel L Dunkelmann, Sebastian B Oehm, Adam T Beattie, Jason W Chin

Abstract read
In one paragraph

Article in Nature chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
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  8. The design and engineering of synthetic genomes.Nature reviews. Genetics · 2025
    Review
  9. Review
  10. Review
  11. BeyondChemical reviews · 2025
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Recent advances in the expanding genetic code.Current opinion in chemical biology · 2024
    Review
  18. Review
  19. Review
  20. Directed Evolution ofACS bio & med chem Au · 2024
    Article
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.

Daniel L Dunkelmann *Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.ORCID 0000-0001-6447-7041
Sebastian B Oehm *Medical Research Council Laboratory of Molecular Biology, Cambridge, UK.ORCID 0000-0002-7099-0578
Adam T BeattieMedical Research Council Laboratory of Molecular Biology, Cambridge, UK.ORCID 0000-0003-1672-2756
Jason W ChinMedical Research Council Laboratory of Molecular Biology, Cambridge, UK. chin@mrc-lmb.cam.ac.uk.ORCID 0000-0003-1219-4757

Funding

Medical Research Council MC_U105181009Medical Research Council MC_UP_A024_1008
6 · The paper itself

Abstract

Orthogonal (O) ribosome-mediated translation of O-mRNAs enables the incorporation of up to three distinct non-canonical amino acids (ncAAs) into proteins in Escherichia coli (E. coli). However, the general and efficient incorporation of multiple distinct ncAAs by O-ribosomes requires scalable strategies for both creating efficiently and specifically translated O-mRNAs, and the compact expression of multiple O-aminoacyl-tRNA synthetase (O-aaRS)/O-tRNA pairs. We automate the discovery of O-mRNAs that lead to up to 40 times more protein, and are up to 50-fold more orthogonal, than previous O-mRNAs; protein yields from our O-mRNAs match or exceed those from wild-type mRNAs. These advances enable a 33-fold increase in yield for incorporating three distinct ncAAs. We automate the creation of operons for O-tRNA genes, and develop operons for O-aaRS genes. Combining our advances creates a 68-codon, 24-amino-acid genetic code to efficiently incorporate four distinct ncAAs into a single protein in response to four distinct quadruplet codons.

Indexed as

CodonGenetic CodeAmino AcidsAmino Acyl-tRNA SynthetasesAutomationRNA, MessengerThermodynamicsAmino AcidsAmino Acyl-tRNA SynthetasesCodonRNA, Messenger

Identifiers

PMID34426682
PMCPMC7612796

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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.