IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-07039-7.html
   My bibliography  Save this article

Programming molecular topologies from single-stranded nucleic acids

Author

Listed:
  • Xiaodong Qi

    (Arizona State University
    Arizona State University)

  • Fei Zhang

    (Arizona State University
    Arizona State University)

  • Zhaoming Su

    (Stanford University
    Division of Cryo-EM and Bioimaging, SSRL, SLAC National Accelerator Laboratory)

  • Shuoxing Jiang

    (Arizona State University
    Arizona State University)

  • Dongran Han

    (Harvard Medical School
    Harvard University)

  • Baoquan Ding

    (CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, China
    University of Chinese Academy of Sciences)

  • Yan Liu

    (Arizona State University
    Arizona State University)

  • Wah Chiu

    (Stanford University
    Division of Cryo-EM and Bioimaging, SSRL, SLAC National Accelerator Laboratory)

  • Peng Yin

    (Harvard Medical School
    Harvard University)

  • Hao Yan

    (Arizona State University
    Arizona State University)

Abstract

Molecular knots represent one of the most extraordinary topological structures in biological polymers. Creating highly knotted nanostructures with well-defined and sophisticated geometries and topologies remains challenging. Here, we demonstrate a general strategy to design and construct highly knotted nucleic acid nanostructures, each weaved from a single-stranded DNA or RNA chain by hierarchical folding in a prescribed order. Sets of DNA and RNA knots of two- or three-dimensional shapes have been designed and constructed (ranging from 1700 to 7500 nucleotides), and they exhibit complex topological features, with high crossing numbers (from 9 up to 57). These single-stranded DNA/RNA knots can be replicated and amplified enzymatically in vitro and in vivo. This work establishes a general platform for constructing nucleic acid nanostructures with complex molecular topologies.

Suggested Citation

  • Xiaodong Qi & Fei Zhang & Zhaoming Su & Shuoxing Jiang & Dongran Han & Baoquan Ding & Yan Liu & Wah Chiu & Peng Yin & Hao Yan, 2018. "Programming molecular topologies from single-stranded nucleic acids," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07039-7
    DOI: 10.1038/s41467-018-07039-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-07039-7
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-018-07039-7?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:9:y:2018:i:1:d:10.1038_s41467-018-07039-7. 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.