Evidence map›Paper›PMID 24077029›Full record

ArticleNature nanotechnology2013

Programmable chemical controllers made from DNA.

Yuan-Jyue Chen, Neil Dalchau, Niranjan Srinivas, Andrew Phillips, Luca Cardelli, David Soloveichik, Georg Seelig

Abstract read
In one paragraph

Article in Nature nanotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing 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

111 citing papers in PubMed.

  1. Article
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  10. Chemical Logic Gates on Active Colloids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Parallel molecular computation on digital data stored in DNA.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. A reaction network scheme for hidden Markov model parameter learning.Journal of the Royal Society, Interface · 2023
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yuan-Jyue ChenUniversity of Washington Department of Electrical Engineering, 185 Stevens Way, Paul Allen Center - Room AE100R, Campus Box 352500, Seattle, Washington 98195-2500, USA.
Neil Dalchau
Niranjan Srinivas
Andrew Phillips
Luca Cardelli
David Soloveichik
Georg Seelig

Funding

Rewiring Therapeutic Cells: User-Controlled T Cells and Stem CellsP50GM081879 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2010 to 2017
$19.0M
NIGMS NIH HHS P50 GM081879
6 · The paper itself

Abstract

Biological organisms use complex molecular networks to navigate their environment and regulate their internal state. The development of synthetic systems with similar capabilities could lead to applications such as smart therapeutics or fabrication methods based on self-organization. To achieve this, molecular control circuits need to be engineered to perform integrated sensing, computation and actuation. Here we report a DNA-based technology for implementing the computational core of such controllers. We use the formalism of chemical reaction networks as a 'programming language' and our DNA architecture can, in principle, implement any behaviour that can be mathematically expressed as such. Unlike logic circuits, our formulation naturally allows complex signal processing of intrinsically analogue biological and chemical inputs. Controller components can be derived from biologically synthesized (plasmid) DNA, which reduces errors associated with chemically synthesized DNA. We implement several building-block reaction types and then combine them into a network that realizes, at the molecular level, an algorithm used in distributed control systems for achieving consensus between multiple agents.

Indexed as

Computers, MolecularAlgorithmsDNAModels, MolecularSequence Analysis, DNASignal TransductionDNA

Identifiers

PMID24077029
PMCPMC4150546

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.