Browse by author
Lookup NU author(s): Dr Annunziata Lopiccolo, Dr Benjamin Shirt-Ediss, Dr Emanuela Torelli, Dr Harold Fellermann, Professor Natalio KrasnogorORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2021, The Author(s).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.
Author(s): Lopiccolo A, Shirt-Ediss B, Torelli E, Olulana AFA, Castronovo M, Fellermann H, Krasnogor N
Publication type: Article
Publication status: Published
Journal: Nature Communications
Year: 2021
Volume: 12
Issue: 1
Print publication date: 01/12/2021
Online publication date: 11/08/2021
Acceptance date: 08/07/2021
Date deposited: 23/08/2021
ISSN (electronic): 2041-1723
Publisher: Nature Research
URL: https://doi.org/10.1038/s41467-021-25023-6
DOI: 10.1038/s41467-021-25023-6
Data Access Statement: https://doi.org/10.5281/zenodo.5060760
Altmetrics provided by Altmetric
