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Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues

Author

Listed:
  • Maja Klevanski

    (Heidelberg University)

  • Frank Herrmannsdoerfer

    (Heidelberg University)

  • Steffen Sass

    (Heidelberg University)

  • Varun Venkataramani

    (Heidelberg University)

  • Mike Heilemann

    (Heidelberg University
    Goethe-University Frankfurt)

  • Thomas Kuner

    (Heidelberg University)

Abstract

Understanding the nano-architecture of protein machines in diverse subcellular compartments remains a challenge despite rapid progress in super-resolution microscopy. While single-molecule localization microscopy techniques allow the visualization and identification of cellular structures with near-molecular resolution, multiplex-labeling of tens of target proteins within the same sample has not yet been achieved routinely. However, single sample multiplexing is essential to detect patterns that threaten to get lost in multi-sample averaging. Here, we report maS3TORM (multiplexed automated serial staining stochastic optical reconstruction microscopy), a microscopy approach capable of fully automated 3D direct STORM (dSTORM) imaging and solution exchange employing a re-staining protocol to achieve highly multiplexed protein localization within individual biological samples. We demonstrate 3D super-resolution images of 15 targets in single cultured cells and 16 targets in individual neuronal tissue samples with

Suggested Citation

  • Maja Klevanski & Frank Herrmannsdoerfer & Steffen Sass & Varun Venkataramani & Mike Heilemann & Thomas Kuner, 2020. "Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15362-1
    DOI: 10.1038/s41467-020-15362-1
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    Cited by:

    1. Susanne Prokop & Péter Ábrányi-Balogh & Benjámin Barti & Márton Vámosi & Miklós Zöldi & László Barna & Gabriella M. Urbán & András Dávid Tóth & Barna Dudok & Attila Egyed & Hui Deng & Gian Marco Leggi, 2021. "PharmacoSTORM nanoscale pharmacology reveals cariprazine binding on Islands of Calleja granule cells," Nature Communications, Nature, vol. 12(1), pages 1-19, December.
    2. Kaarjel K. Narayanasamy & Johanna V. Rahm & Siddharth Tourani & Mike Heilemann, 2022. "Fast DNA-PAINT imaging using a deep neural network," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Nikolaos Mougios & Elena R. Cotroneo & Nils Imse & Jonas Setzke & Silvio O. Rizzoli & Nadja A. Simeth & Roman Tsukanov & Felipe Opazo, 2024. "NanoPlex: a universal strategy for fluorescence microscopy multiplexing using nanobodies with erasable signals," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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