Evidence map›Paper›PMID 31131200›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019

DNA Nanotechnology Enters Cell Membranes.

Shuaidong Huo, Hongyan Li, Arnold J Boersma, Andreas Herrmann

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  3. Review
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  8. Quantitative Chemical Imaging of Organelles.Accounts of chemical research · 2024
    Article
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Nucleic acid nanostructures forApplied physics reviews · 2023
    Review
  16. Review
  17. Review
  18. Article
  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

4 authors.

Shuaidong HuoDWI-Leibniz Institute for Interactive Materials Forckenbeckstr. 50 52056 Aachen Germany.ORCID https://orcid.org/0000-0003-3590-044X
Hongyan LiDWI-Leibniz Institute for Interactive Materials Forckenbeckstr. 50 52056 Aachen Germany.
Arnold J BoersmaDWI-Leibniz Institute for Interactive Materials Forckenbeckstr. 50 52056 Aachen Germany.ORCID https://orcid.org/0000-0002-3714-5938
Andreas HerrmannDWI-Leibniz Institute for Interactive Materials Forckenbeckstr. 50 52056 Aachen Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA is more than a carrier of genetic information: It is a highly versatile structural motif for the assembly of nanostructures, giving rise to a wide range of functionalities. In this regard, the structure programmability is the main advantage of DNA over peptides, proteins, and small molecules. DNA amphiphiles, in which DNA is covalently bound to synthetic hydrophobic moieties, allow interactions of DNA nanostructures with artificial lipid bilayers and cell membranes. These structures have seen rapid growth with great potential for medical applications. In this Review, the current state of the art of the synthesis of DNA amphiphiles and their assembly into nanostructures are first summarized. Next, an overview on the interaction of these DNA amphiphiles with membranes is provided, detailing on the driving forces and the stability of the interaction. Moreover, the interaction with cell surfaces in respect to therapeutics, biological sensing, and cell membrane engineering is highlighted. Finally, the challenges and an outlook on this promising class of DNA hybrid materials are discussed.

Indexed as

DNA amphiphilesmembranesnanoporesnanostructuresvesicles

Identifiers

PMID31131200
PMCPMC6523375

What OpenQuestion holds

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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.