Evidence map›Paper›PMID 23256841›Full record

ArticleJournal of the American Chemical Society2013

DNA ligase-mediated translation of DNA into densely functionalized nucleic acid polymers.

Ryan Hili, Jia Niu, David R Liu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

22 citing papers in PubMed, 70 citations in OpenAlex.

  1. NAR cancer · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Ligase-mediated synthesis of CuChemical science · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Nonenzymatic assembly of active chimeric ribozymes from aminoacylated RNA oligonucleotides.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Ryan HiliHoward Hughes Medical Institute, Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, Massachusetts, 02138, United States.
Jia Niu
David R Liu
Harvard University · USHoward Hughes Medical Institute · US

Funding

Synthesis and Discovery Through DNA-Templated ChemistryR01GM065865 · NIGMS · HARVARD UNIVERSITY · PI LIU, DAVID R · 2003 to 2015
$5.1M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM065865NIGMS NIH HHS R01GM065865
6 · The paper itself

Abstract

We developed a method to translate DNA sequences into densely functionalized nucleic acids by using T4 DNA ligase to mediate the DNA-templated polymerization of 5'-phosphorylated trinucleotides containing a wide variety of appended functional groups. This polymerization proceeds sequence specifically along a DNA template and can generate polymers of at least 50 building blocks (150 nucleotides) in length with remarkable efficiency. The resulting single-stranded highly modified nucleic acid is a suitable template for primer extension using deep vent (exo-) DNA polymerase, thereby enabling the regeneration of template DNA. We integrated these capabilities to perform iterated cycles of in vitro translation, selection, and template regeneration on libraries of modified nucleic acid polymers.

Indexed as

Amino Acid SequenceBacteriophage T4BiocatalysisDNADNA LigasesNucleic AcidsPolymersDNADNA LigasesNucleic AcidsPolymers

Identifiers

PMID23256841
PMCPMC3544274
OpenAlexW2159282481

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.