Evidence map›Paper›PMID 29061965›Full record

ArticleNature communications2017

Hierarchical control of enzymatic actuators using DNA-based switchable memories.

Lenny H H Meijer, Alex Joesaar, Erik Steur, Wouter Engelen, Rutger A van Santen, Maarten Merkx, Tom F A de Greef

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Active Oscillations of Elastic Membranes Arising from the Coupling with a Catalytic Reaction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

7 authors.

Lenny H H MeijerLaboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Alex JoesaarLaboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Erik SteurInstitute for Complex Molecular Systems, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Wouter EngelenLaboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Rutger A van SantenInstitute for Complex Molecular Systems, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Maarten MerkxLaboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands.
Tom F A de GreefLaboratory of Chemical Biology, Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ, Eindhoven, The Netherlands. t.f.a.d.greef@tue.nl.

Funding

European Research Council 280255European Research Council 677313
6 · The paper itself

Abstract

Inspired by signaling networks in living cells, DNA-based programming aims for the engineering of biochemical networks capable of advanced regulatory and computational functions under controlled cell-free conditions. While regulatory circuits in cells control downstream processes through hierarchical layers of signal processing, coupling of enzymatically driven DNA-based networks to downstream processes has rarely been reported. Here, we expand the scope of molecular programming by engineering hierarchical control of enzymatic actuators using feedback-controlled DNA-circuits capable of advanced regulatory dynamics. We developed a translator module that converts signaling molecules from the upstream network to unique DNA strands driving downstream actuators with minimal retroactivity and support these findings with a detailed computational analysis. We show our modular approach by coupling of a previously engineered switchable memories circuit to downstream actuators based on β-lactamase and luciferase. To the best of our knowledge, our work demonstrates one of the most advanced DNA-based circuits regarding complexity and versatility.

Indexed as

Gene Regulatory NetworksMetabolic EngineeringModels, GeneticAlgorithmsbeta-LactamasesDNADNA, Single-StrandedEnzymesFeedbackFeedback, PhysiologicalKineticsSignal Transductionbeta-Lactamasesbeta-lactamase TEM-1DNADNA, Single-StrandedEnzymes

Identifiers

PMID29061965
PMCPMC5714950

What OpenQuestion holds

Textmetadata
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.