Evidence map›Paper›PMID 26329111›Full record

ReviewNature nanotechnology2015

DNA nanotechnology from the test tube to the cell.

Yuan-Jyue Chen, Benjamin Groves, Richard A Muscat, Georg Seelig

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature nanotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers.

0numbers the graph read from it
0cells of the map it votes in
176citing 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

176 citing papers in PubMed.

  1. Article
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  4. Review
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  11. Review
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  15. Article
  16. DNA nanodevices map intracellular ions.Nature biotechnology · 2024
    Article
  17. Erasable and Field Programmable DNA Circuits Based on Configurable Logic Blocks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  18. Review
  19. Review
  20. Heterochiral modifications enhance robustness and function of DNA in living human cells.Chembiochem : a European journal of chemical biology · 2024
    Article

116 more citing papers are in PubMed but not listed here.

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.

Yuan-Jyue ChenDepartment of Electrical Engineering, University of Washington, Seattle, Washington 98195, USA.
Benjamin GrovesDepartment of Electrical Engineering, University of Washington, Seattle, Washington 98195, USA.
Richard A MuscatDepartment of Electrical Engineering, University of Washington, Seattle, Washington 98195, USA.
Georg SeeligDepartment of Electrical Engineering, University of Washington, Seattle, Washington 98195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The programmability of Watson-Crick base pairing, combined with a decrease in the cost of synthesis, has made DNA a widely used material for the assembly of molecular structures and dynamic molecular devices. Working in cell-free settings, researchers in DNA nanotechnology have been able to scale up system complexity and quantitatively characterize reaction mechanisms to an extent that is infeasible for engineered gene circuits or other cell-based technologies. However, the most intriguing applications of DNA nanotechnology - applications that best take advantage of the small size, biocompatibility and programmability of DNA-based systems - lie at the interface with biology. Here, we review recent progress in the transition of DNA nanotechnology from the test tube to the cell. We highlight key successes in the development of DNA-based imaging probes, prototypes of smart therapeutics and drug delivery systems, and explore the future challenges and opportunities for cellular DNA nanotechnology.

Indexed as

Biocompatible MaterialsDNADrug CarriersNanotechnologyAnimalsCell LineHumansMiceBiocompatible MaterialsDNADrug Carriers

Identifiers

PMID26329111

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.