IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-25023-6.html
   My bibliography  Save this article

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

Author

Listed:
  • Annunziata Lopiccolo

    (Newcastle University)

  • Ben Shirt-Ediss

    (Newcastle University)

  • Emanuela Torelli

    (Newcastle University)

  • Abimbola Feyisara Adedeji Olulana

    (University of Leeds
    Azienda Sanitaria Universitaria Integrata di Udine)

  • Matteo Castronovo

    (University of Leeds
    Azienda Sanitaria Universitaria Integrata di Udine)

  • Harold Fellermann

    (Newcastle University)

  • Natalio Krasnogor

    (Newcastle University)

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.

Suggested Citation

  • Annunziata Lopiccolo & Ben Shirt-Ediss & Emanuela Torelli & Abimbola Feyisara Adedeji Olulana & Matteo Castronovo & Harold Fellermann & Natalio Krasnogor, 2021. "A last-in first-out stack data structure implemented in DNA," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25023-6
    DOI: 10.1038/s41467-021-25023-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-25023-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-25023-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25023-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.