ArticleJournal of the American Chemical Society2019
Progress toward Eukaryotic Semisynthetic Organisms: Translation of Unnatural Codons.
Article in Journal of the American Chemical Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 40 citations in OpenAlex.
- Ethnobotany-guided exploration of plant-derived photosensitizer candidates for photodynamic therapy.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026Review
- High-resolution melting analysis for rapid and cost-effective detection of unnatural base pairs.Biodesign research · 2026Article
- Recognition of unnatural base pairs by a eukaryotic DNA polymerase enables universal sequencing of an expanded genetic alphabet.Nucleic acids research · 2026Article
- Engineering and Assay of Enzymes for Expanded Genetic Alphabet Replication.Biochemistry · 2025Article
- Sequencing a DNA analog composed of artificial bases.Nature communications · 2025Article
- Cellular Site-Specific Incorporation of Noncanonical Amino Acids in Synthetic Biology.Chemical reviews · 2024Review
- Engineering tRNAs for the Ribosomal Translation of Non-proteinogenic Monomers.Chemical reviews · 2024Review
- Discovery, implications and initial use of semi-synthetic organisms with an expanded genetic alphabet/code.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Tellurium-Modified Nucleosides, Nucleotides, and Nucleic Acids with Potential Applications.Molecules (Basel, Switzerland) · 2022Review
- From polymerase engineering to semi-synthetic life: artificial expansion of the central dogma.RSC chemical biology · 2022Review
- Stronger together for in-cell translation: natural and unnatural base modified mRNA.Chemical science · 2022Article
- Undefining life's biochemistry: implications for abiogenesis.Journal of the Royal Society, Interface · 2022Review
- Improving the Efficiency and Orthogonality of Genetic Code Expansion.Biodesign research · 2022Review
- Genetic Code Engineering by Natural and Unnatural Base Pair Systems for the Site-Specific Incorporation of Non-Standard Amino Acids Into Proteins.Frontiers in molecular biosciences · 2022Review
- Transcriptional processing of an unnatural base pair by eukaryotic RNA polymerase II.Nature chemical biology · 2021Article
- Posttranscriptional site-directed spin labeling of large RNAs with an unnatural base pair system under non-denaturing conditions.Chemical science · 2020Article
- Site-specific covalent labeling of large RNAs with nanoparticles empowered by expanded genetic alphabet transcription.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
We have created a bacterial semisynthetic organism (SSO) that retains an unnatural base pair (UBP) in its DNA, transcribes it into mRNA and tRNA with cognate unnatural codons and anticodons, and after the tRNA is charged with a noncanonical amino acid synthesizes proteins containing the noncanonical amino acid. Here, we report the first progress toward the creation of eukaryotic SSOs. After demonstrating proof-of-concept with human HEK293 cells, we show that a variety of different unnatural codon-anticodon pairs can efficiently mediate the synthesis of unnatural proteins in CHO cells. Interestingly, we find that there are both similarities and significant differences between how the prokaryotic and eukaryotic ribosomes recognize the UBP, with the eukaryotic ribosome appearing more tolerant. The results represent the first progress toward eukaryotic SSOs and, in fact, suggest that such SSOs might be able to retain more unnatural information than their bacterial counterparts.
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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.