Evidence map›Paper›PMID 30418780›Full record

ArticleJournal of the American Chemical Society2018

Progress Toward a Semi-Synthetic Organism with an Unrestricted Expanded Genetic Alphabet.

Vivian T Dien, Matthew Holcomb, Aaron W Feldman, Emil C Fischer, Tammy J Dwyer, Floyd E Romesberg

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. In vitro evolution of ribonucleases from expanded genetic alphabets.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Evolution as a Guide to DesigningInternational journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Review
  18. The Structural Basis for Processing of Unnatural Base Pairs by DNA Polymerases.Chemistry (Weinheim an der Bergstrasse, Germany) · 2020
    Review
  19. Article
  20. Review
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

6 authors.

Vivian T DienDepartment of Chemistry , The Scripps Research Institute , La Jolla , California 92037 United States.
Matthew HolcombDepartment of Chemistry , The Scripps Research Institute , La Jolla , California 92037 United States.
Aaron W FeldmanDepartment of Chemistry , The Scripps Research Institute , La Jolla , California 92037 United States.ORCID 0000-0002-9495-2357
Emil C FischerDepartment of Chemistry , The Scripps Research Institute , La Jolla , California 92037 United States.
Tammy J DwyerDepartment of Chemistry and Biochemistry , University of San Diego , San Diego , California 92110 , United States.
Floyd E RomesbergDepartment of Chemistry , The Scripps Research Institute , La Jolla , California 92037 United States.ORCID 0000-0001-6317-1315

Funding

A semi-synthetic organism that stores and retrieves increased genetic informationR35GM118178 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI ROMESBERG, FLOYD E. · 2016 to 2018
$2.1M
NIGMS NIH HHS R35 GM118178
6 · The paper itself

Abstract

We have developed a family of unnatural base pairs (UBPs), exemplified by the pair formed between dNaM and dTPT3, for which pairing is mediated not by complementary hydrogen bonding but by hydrophobic and packing forces. These UBPs enabled the creation of the first semisynthetic organisms (SSOs) that store increased genetic information and use it to produce proteins containing noncanonical amino acids. However, retention of the UBPs was poor in some sequence contexts. Here, to optimize the SSO, we synthesize two novel benzothiophene-based dNaM analogs, dPTMO and dMTMO, and characterize the corresponding UBPs, dPTMO-dTPT3 and dMTMO-dTPT3. We demonstrate that these UBPs perform similarly to, or slightly worse than, dNaM-dTPT3 in vitro. However, in the in vivo environment of an SSO, retention of dMTMO-dTPT3, and especially dPTMO-dTPT3, is significantly higher than that of dNaM-dTPT3. This more optimal in vivo retention results from better replication, as opposed to more efficient import of the requisite unnatural nucleoside triphosphates. Modeling studies suggest that the more optimal replication results from specific internucleobase interactions mediated by the thiophene sulfur atoms. Finally, we show that dMTMO and dPTMO efficiently template the transcription of RNA containing TPT3 and that their improved retention in DNA results in more efficient production of proteins with noncanonical amino acids. This is the first instance of using performance within the SSO as part of the UBP evaluation and optimization process. From a general perspective, the results demonstrate the importance of evaluating synthetic biology "parts" in their in vivo context and further demonstrate the ability of hydrophobic and packing interactions to replace the complementary hydrogen bonding that underlies the replication of natural base pairs. From a more practical perspective, the identification of dMTMO-dTPT3 and especially dPTMO-dTPT3 represents significant progress toward the development of SSOs with an unrestricted ability to store and retrieve increased information.

Indexed as

Base PairingBase SequenceDNADNA ReplicationEscherichia coliGenetic CodeGreen Fluorescent ProteinsHydrophobic and Hydrophilic InteractionsKineticsMethanosarcina barkeriNucleotidesProtein BiosynthesisRNA, TransferSynthetic BiologyDNAGreen Fluorescent ProteinsNucleotidesRNA, Transfer

Identifiers

PMID30418780
PMCPMC6373772

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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.