Evidence map›Paper›PMID 29686392›Full record

ArticleScientific reports2018

Spatiotemporal control of DNA-based chemical reaction network via electrochemical activation in microfluidics.

Ievgen Kurylo, Guillaume Gines, Yannick Rondelez, Yannick Coffinier, Alexis Vlandas

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. ACS nano · 2021
    Article
  3. Article
  4. 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

5 authors.

Ievgen KuryloBioMEMS, Univ. Lille, CNRS, ISEN, UMR 8520 - IEMN, F-59000, Lille, France.
Guillaume GinesLaboratoire Gulliver, Ecole Supérieure de Physique et de Chimie Industrielles, PSL Research University, and CNRS, Paris, France.
Yannick RondelezLaboratoire Gulliver, Ecole Supérieure de Physique et de Chimie Industrielles, PSL Research University, and CNRS, Paris, France.
Yannick CoffinierNanoBioInterfaces, Univ. Lille, CNRS, ISEN, UMR 8520 - IEMN, F-59000, Lille, France.
Alexis VlandasBioMEMS, Univ. Lille, CNRS, ISEN, UMR 8520 - IEMN, F-59000, Lille, France. alexis.vlandas@iemn.univ-lille1.fr.ORCID 0000-0003-2089-2360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, DNA computing frameworks have been developed to create dynamical systems which can be used for information processing. These emerging synthetic biochemistry tools can be leveraged to gain a better understanding of fundamental biology but can also be implemented in biosensors and unconventional computing. Most of the efforts so far have focused on changing the topologies of DNA molecular networks or scaling them up. Several issues have thus received little attention and remain to be solved to turn them into real life technologies. In particular, the ability to easily interact in real-time with them is a key requirement. The previous attempts to achieve this aim have used microfluidic approaches, such as valves, which are cumbersome. We show that electrochemical triggering using DNA-grafted micro-fabricated gold electrodes can be used to give instructions to these molecular systems. We demonstrate how this approach can be used to release at specific times and locations DNA- based instructions. In particular, we trigger reaction-diffusion autocatalytic fronts in microfluidic channels. While limited by the stability of the Au-S bond, this easy to implement, versatile and scalable technique can be used in any biology laboratory to provide new ways to interact with any DNA-based computing framework.

Indexed as

MicrofluidicsDNAElectrochemical TechniquesElectrodesGoldDNAGold

Identifiers

PMID29686392
PMCPMC5913268

What OpenQuestion holds

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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.