Evidence map›Paper›PMID 23727986›Full record

ArticleNature methods2013

Enzymatic production of 'monoclonal stoichiometric' single-stranded DNA oligonucleotides.

Cosimo Ducani, Corinna Kaul, Martin Moche, William M Shih, Björn Högberg

Abstract read
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Review
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  5. Article
  6. Review
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  9. Article
  10. Folding molecular origami from ribosomal RNA.Journal of nanobiotechnology · 2024
    Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Wrap to sort.Nature chemistry · 2021
    Article
  18. Review
  19. Article
  20. Mini review: Enzyme-based DNA synthesis and selective retrieval for data storage.Computational and structural biotechnology journal · 2021
    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

5 authors.

Cosimo DucaniSwedish Medical Nanoscience Center, Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Corinna Kaul
Martin Moche
William M Shih
Björn Högberg

Funding

NMR Structure Determination of Membrane Proteins Enabled by DNA NanotubesDP2OD004641 · OD · DANA-FARBER CANCER INST · PI SHIH, WILLIAM M · 2008 to 2008
$2.6M
NIH HHS DP2 OD004641
6 · The paper itself

Abstract

Single-stranded oligonucleotides are important as research tools, as diagnostic probes, in gene therapy and in DNA nanotechnology. Oligonucleotides are typically produced via solid-phase synthesis, using polymer chemistries that are limited relative to what biological systems produce. The number of errors in synthetic DNA increases with oligonucleotide length, and the resulting diversity of sequences can be a problem. Here we present the 'monoclonal stoichiometric' (MOSIC) method for enzyme-mediated production of DNA oligonucleotides. We amplified oligonucleotides from clonal templates derived from single bacterial colonies and then digested cutter hairpins in the products, which released pools of oligonucleotides with precisely controlled relative stoichiometric ratios. We prepared 14-378-nucleotide MOSIC oligonucleotides either by in vitro rolling-circle amplification or by amplification of phagemid DNA in Escherichia coli. Analyses of the formation of a DNA crystal and folding of DNA nanostructures confirmed the scalability, purity and stoichiometry of the produced oligonucleotides.

Indexed as

DNA, BacterialDNA Restriction-Modification EnzymesEscherichia coliNucleic Acid Amplification TechniquesSynthetic BiologyDNA, BacterialDNA Restriction-Modification Enzymes

Identifiers

PMID23727986
PMCPMC3843646

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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.