Evidence map›Paper›PMID 26404232›Full record

ArticleMolecules (Basel, Switzerland)2015

Comparative Incorporation of PNA into DNA Nanostructures.

Ronnie O Pedersen, Jing Kong, Catalina Achim, Thomas H LaBean

Abstract readComparative Study
In one paragraph

Article in Molecules (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Nanostructures from Synthetic Genetic Polymers.Chembiochem : a European journal of chemical biology · 2016
    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

4 authors.

Ronnie O PedersenDepartment of Chemistry, Duke University, 124 Science Drive, Durham, NC 27708-0354, USA. r.o.pedersen@gmail.com.
Jing KongDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, PA 15213, USA. jingk@andrew.cmu.edu.
Catalina AchimDepartment of Chemistry, Carnegie Mellon University, Pittsburgh, PA 15213, USA. achim@cmu.edu.
Thomas H LaBeanDepartment of Materials Science and Engineering, North Carolina State University, 911 Partners Way, Raleigh, NC 27695-7907, USA. thlabean@ncsu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA has shown great promise as a building material for self-assembling nanoscale structures. To further develop the potential of this technology, more methods are needed for functionalizing DNA-based nanostructures to increase their chemical diversity. Peptide nucleic acid (PNA) holds great promise for realizing this goal, as it conveniently allows for inclusion of both amino acids and peptides in nucleic acid-based structures. In this work, we explored incorporation of a positively charged PNA within DNA nanostructures. We investigated the efficiency of annealing a lysine-containing PNA probe with complementary, single-stranded DNA sequences within nanostructures, as well as the efficiency of duplex invasion and its dependence on salt concentration. Our results show that PNA allows for toehold-free strand displacement and that incorporation yield depends critically on binding site geometry. These results provide guidance for the design of PNA binding sites on nucleic acid nanostructures with an eye towards optimizing fabrication yield.

Indexed as

Binding SitesDNADNA, Single-StrandedNanostructuresNucleic Acid ConformationPeptide Nucleic AcidsDNADNA, Single-StrandedPeptide Nucleic AcidsDNA nanobiotechnologymodified oligonucleotidesnanomaterialsoligonucleotide conjugatespeptide nucleic acid

Identifiers

PMID26404232
PMCPMC6331967

What OpenQuestion holds

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LicenceCC BY
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.