Evidence map›Paper›PMID 28757998›Full record

ArticleChemical science2016

Electronic control of DNA-based nanoswitches and nanodevices.

Simona Ranallo, Alessia Amodio, Andrea Idili, Alessandro Porchetta, Francesco Ricci

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
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  5. DNA Assembly-Based Stimuli-Responsive Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
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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 at 2 institutions in 3 countries.

Simona RanalloChemistry Department , University of Rome Tor Vergata , Via della Ricerca Scientifica , Rome 00133 , Italy . Email: francesco.ricci@uniroma2.it.
Alessia AmodioChemistry Department , University of Rome Tor Vergata , Via della Ricerca Scientifica , Rome 00133 , Italy . Email: francesco.ricci@uniroma2.it.
Andrea IdiliChemistry Department , University of Rome Tor Vergata , Via della Ricerca Scientifica , Rome 00133 , Italy . Email: francesco.ricci@uniroma2.it.
Alessandro PorchettaChemistry Department , University of Rome Tor Vergata , Via della Ricerca Scientifica , Rome 00133 , Italy . Email: francesco.ricci@uniroma2.it.
Francesco RicciChemistry Department , University of Rome Tor Vergata , Via della Ricerca Scientifica , Rome 00133 , Italy . Email: francesco.ricci@uniroma2.it.
Division of Chemistry · USUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we demonstrate that we can rationally and finely control the functionality of different DNA-based nanodevices and nanoswitches using electronic inputs. To demonstrate the versatility of our approach we have used here three different model DNA-based nanoswitches triggered by heavy metals and specific DNA sequences and a copper-responsive DNAzyme. To achieve electronic-induced control of these DNA-based nanodevices we have applied different voltage potentials at the surface of an electrode chip. The applied potential promotes an electron-transfer reaction that releases from the electrode surface a molecular input that ultimately triggers the DNA-based nanodevice. The use of electronic inputs as a way to finely activate DNA-based nanodevices appears particularly promising to expand the available toolbox in the field of DNA nanotechnology and to achieve a better hierarchical control of these platforms.

Identifiers

PMID28757998
PMCPMC5508672
OpenAlexW2178628573

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.