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


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
11 08 2021
Historique:
received: 12 03 2021
accepted: 08 07 2021
entrez: 12 8 2021
pubmed: 13 8 2021
medline: 24 8 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34381035
doi: 10.1038/s41467-021-25023-6
pii: 10.1038/s41467-021-25023-6
pmc: PMC8358042
doi:

Substances chimiques

Polymers 0
DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4861

Informations de copyright

© 2021. The Author(s).

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Auteurs

Annunziata Lopiccolo (A)

Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK.

Ben Shirt-Ediss (B)

Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK.

Emanuela Torelli (E)

Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK.

Abimbola Feyisara Adedeji Olulana (AFA)

Food Colloids and Bioprocessing Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.
Regional Referral Centre for Rare Diseases, Azienda Sanitaria Universitaria Integrata di Udine, Udine, Italy.

Matteo Castronovo (M)

Food Colloids and Bioprocessing Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.
Regional Referral Centre for Rare Diseases, Azienda Sanitaria Universitaria Integrata di Udine, Udine, Italy.

Harold Fellermann (H)

Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK. harold.fellermann@newcastle.ac.uk.

Natalio Krasnogor (N)

Interdisciplinary Computing and Complex Biosystems Research Group, School of Computing, Newcastle University, Newcastle-upon-Tyne, UK. natalio.krasnogor@newcastle.ac.uk.

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Classifications MeSH