IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-020-20639-6.html
   My bibliography  Save this article

A glucose meter interface for point-of-care gene circuit-based diagnostics

Author

Listed:
  • Evan Amalfitano

    (University of Toronto)

  • Margot Karlikow

    (University of Toronto)

  • Masoud Norouzi

    (University of Toronto)

  • Katariina Jaenes

    (University of Toronto)

  • Seray Cicek

    (University of Toronto)

  • Fahim Masum

    (University of Toronto)

  • Peivand Sadat Mousavi

    (University of Toronto)

  • Yuxiu Guo

    (University of Toronto)

  • Laura Tang

    (University of Toronto)

  • Andrew Sydor

    (Peter Gilgan Center for Research and Learning)

  • Duo Ma

    (The Biodesign Institute and the School of Molecular Sciences)

  • Joel D. Pearson

    (Mt Sinai Hospital, Sinai Health System
    University of Toronto
    University of Toronto)

  • Daniel Trcka

    (Mt Sinai Hospital, Sinai Health System)

  • Mathieu Pinette

    (National Centre for Foreign Animal Disease)

  • Aruna Ambagala

    (National Centre for Foreign Animal Disease)

  • Shawn Babiuk

    (National Centre for Foreign Animal Disease)

  • Bradley Pickering

    (National Centre for Foreign Animal Disease
    University of Manitoba
    Iowa State University, College of Veterinary Medicine, Department of Veterinary Microbiology and Preventive Medicine)

  • Jeff Wrana

    (Mt Sinai Hospital, Sinai Health System
    University of Toronto)

  • Rod Bremner

    (Mt Sinai Hospital, Sinai Health System
    University of Toronto
    University of Toronto)

  • Tony Mazzulli

    (University of Toronto
    Sinai Health System/University Health Network)

  • David Sinton

    (University of Toronto)

  • John H. Brumell

    (Peter Gilgan Center for Research and Learning
    University of Toronto
    University of Toronto
    Hospital for Sick Children)

  • Alexander A. Green

    (The Biodesign Institute and the School of Molecular Sciences
    Boston University)

  • Keith Pardee

    (University of Toronto
    University of Toronto)

Abstract

Recent advances in cell-free synthetic biology have given rise to gene circuit-based sensors with the potential to provide decentralized and low-cost molecular diagnostics. However, it remains a challenge to deliver this sensing capacity into the hands of users in a practical manner. Here, we leverage the glucose meter, one of the most widely available point-of-care sensing devices, to serve as a universal reader for these decentralized diagnostics. We describe a molecular translator that can convert the activation of conventional gene circuit-based sensors into a glucose output that can be read by off-the-shelf glucose meters. We show the development of new glucogenic reporter systems, multiplexed reporter outputs and detection of nucleic acid targets down to the low attomolar range. Using this glucose-meter interface, we demonstrate the detection of a small-molecule analyte; sample-to-result diagnostics for typhoid, paratyphoid A/B; and show the potential for pandemic response with nucleic acid sensors for SARS-CoV-2.

Suggested Citation

  • Evan Amalfitano & Margot Karlikow & Masoud Norouzi & Katariina Jaenes & Seray Cicek & Fahim Masum & Peivand Sadat Mousavi & Yuxiu Guo & Laura Tang & Andrew Sydor & Duo Ma & Joel D. Pearson & Daniel Tr, 2021. "A glucose meter interface for point-of-care gene circuit-based diagnostics," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20639-6
    DOI: 10.1038/s41467-020-20639-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-20639-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-20639-6?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Margot Karlikow & Evan Amalfitano & Xiaolong Yang & Jennifer Doucet & Abigail Chapman & Peivand Sadat Mousavi & Paige Homme & Polina Sutyrina & Winston Chan & Sofia Lemak & Alexander F. Yakunin & Adam, 2023. "CRISPR-induced DNA reorganization for multiplexed nucleic acid detection," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Grace E. Vezeau & Lipika R. Gadila & Howard M. Salis, 2023. "Automated design of protein-binding riboswitches for sensing human biomarkers in a cell-free expression system," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

    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_s41467-020-20639-6. 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.