Evidence map›Paper›PMID 24452865›Full record

ArticleAngewandte Chemie (International ed. in English)2014

Transcription of click-linked DNA in human cells.

Charles N Birts, A Pia Sanzone, Afaf H El-Sagheer, Jeremy P Blaydes, Tom Brown, Ali Tavassoli

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Two-Step Validation Approach for Tools To Study the DNA Repair Enzyme SNM1A.Chembiochem : a European journal of chemical biology · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Oligonucleotide analogues with cationic backbone linkages.Beilstein journal of organic chemistry · 2018
    Review
  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

6 authors.

Charles N BirtsCancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD (UK).
A Pia Sanzone
Afaf H El-Sagheer
Jeremy P Blaydes
Tom Brown
Ali Tavassoli

Funding

Biotechnology and Biological Sciences Research Council BB/J001694/1Breast Cancer Now 2010NOVPR12Cancer Research UK 10263
6 · The paper itself

Abstract

Click DNA ligation promises an alternative to the current enzymatic approaches for DNA assembly, with the ultimate goal of using efficient chemical reactions for the total chemical synthesis and assembly of genes and genomes. Such an approach would enable the incorporation of various chemically modified bases throughout long stretches of DNA, a feat not possible with current polymerase-based methods. An unequivocal requirement for this approach is the biocompatibility of the resulting triazole-linked DNA. The correct function of this unnatural DNA linker in human cells is demonstrated here by using a click-linked gene encoding the fluorescent protein mCherry. Reverse transcription of mRNA isolated from these cells and subsequent sequencing of the mCherry cDNA shows error-free transcription. Nucleotide excision repair (NER) is shown to not play a role in the observed biocompatibility by using a NER-deficient human cell line. This is the first example of a non-natural DNA linker being functional in a eukaryotic cell.

Indexed as

Transcription, GeneticCell LineClick ChemistryDNADNA RepairHumansLuminescent ProteinsRed Fluorescent ProteinSynthetic BiologyTriazolesDNALuminescent ProteinsRed Fluorescent ProteinTriazolesclick chemistryDNA ligationgene technologynucleic acidssynthetic biology

Identifiers

PMID24452865
PMCPMC4016740

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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.