Evidence map›Paper›PMID 34381035›Full record

ArticleNature communications2021

A last-in first-out stack data structure implemented in DNA.

Annunziata Lopiccolo, Ben Shirt-Ediss, Emanuela Torelli, Abimbola Feyisara Adedeji Olulana, Matteo Castronovo, Harold Fellermann, Natalio Krasnogor

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Chemical Reaction Networks' Programming for Solving Equations.Current issues in molecular biology · 2022
    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

7 authors.

Annunziata Lopiccolo *Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK.ORCID 0000-0002-2145-6088
Ben Shirt-Ediss *Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK.ORCID 0000-0002-8853-0182
Emanuela TorelliInterdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK.ORCID 0000-0002-3313-1088
Abimbola Feyisara Adedeji OlulanaFood Colloids and Bioprocessing Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.ORCID 0000-0001-8009-1755
Matteo CastronovoFood Colloids and Bioprocessing Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.ORCID 0000-0003-1316-6918
Harold FellermannInterdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK. harold.fellermann@newcastle.ac.uk.ORCID 0000-0001-5861-1945
Natalio KrasnogorInterdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK. natalio.krasnogor@newcastle.ac.uk.ORCID 0000-0002-2651-4320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA-based memory systems are being reported with increasing frequency. However, dynamic DNA data structures able to store and recall information in an ordered way, and able to be interfaced with external nucleic acid computing circuits, have so far received little attention. Here we present an in vitro implementation of a stack data structure using DNA polymers. The stack is able to record combinations of two different DNA signals, release the signals into solution in reverse order, and then re-record. We explore the accuracy limits of the stack data structure through a stochastic rule-based model of the underlying polymerisation chemistry. We derive how the performance of the stack increases with the efficiency of washing steps between successive reaction stages, and report how stack performance depends on the history of stack operations under inefficient washing. Finally, we discuss refinements to improve molecular synchronisation and future open problems in implementing an autonomous chemical data structure.

Indexed as

Computers, MolecularComputational BiologyDNAInformation Storage and RetrievalNucleic Acid HybridizationPolymersDNAPolymers

Identifiers

PMID34381035
PMCPMC8358042

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.