IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-64228-x.html
   My bibliography  Save this article

Left-handed DNA for efficient highly multiplexed imaging at single-protein resolution

Author

Listed:
  • Eduard M. Unterauer

    (Ludwig Maximilian University
    Max Planck Institute of Biochemistry)

  • Eva-Maria Schentarra

    (Ludwig Maximilian University
    Max Planck Institute of Biochemistry)

  • Isabelle Pachmayr

    (Max Planck Institute of Biochemistry
    Ludwig Maximilian University)

  • Taisha Tashrin

    (Max Planck Institute of Biochemistry)

  • Jisoo Kwon

    (Ludwig Maximilian University)

  • Sebastian Strauss

    (Max Planck Institute of Biochemistry)

  • Kristina Jevdokimenko

    (University Medical Center Göttingen)

  • Rafal Kowalewski

    (Ludwig Maximilian University
    Max Planck Institute of Biochemistry)

  • Felipe Opazo

    (University Medical Center Göttingen
    University Medical Center Göttingen
    NanoTag Biotechnologies GmbH)

  • Eugenio F. Fornasiero

    (University Medical Center Göttingen
    University of Trieste)

  • Luciano A. Masullo

    (Max Planck Institute of Biochemistry)

  • Ralf Jungmann

    (Ludwig Maximilian University
    Max Planck Institute of Biochemistry)

Abstract

Multiplexed super-resolution microscopy enables spatial proteomics at single-protein resolution, but current methods often depend on secondary labels, complicating implementation and limiting throughput. We introduce a streamlined approach that combines speed-optimized DNA-PAINT sequences with their mirror-image analogs (left-handed DNA), enabling rapid and efficient 12-plex imaging. Validated on synthetic and cellular benchmarks, our method maps dense neuronal interactomes in 3D with 15 nm spatial resolution across a 200 × 200 µm2 field of view.

Suggested Citation

  • Eduard M. Unterauer & Eva-Maria Schentarra & Isabelle Pachmayr & Taisha Tashrin & Jisoo Kwon & Sebastian Strauss & Kristina Jevdokimenko & Rafal Kowalewski & Felipe Opazo & Eugenio F. Fornasiero & Luc, 2025. "Left-handed DNA for efficient highly multiplexed imaging at single-protein resolution," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-64228-x
    DOI: 10.1038/s41467-025-64228-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-64228-x
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-64228-x?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:16:y:2025:i:1:d:10.1038_s41467-025-64228-x. 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.