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

  • Understanding the nano-architecture of protein machines in diverse sub-cellular compartments remains a challenge despite rapid progress in super-resolution microscopy. While singlemolecule 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 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 target proteins in single cultured cells and 16 targets in individual neuronal tissue samples with <10 nm localization precision. This allowed us to define novel nano-architectural features of protein distribution within the presynaptic nerve terminal.

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Metadaten
Author:Maja KlevanskiORCiDGND, Frank HerrmannsdörferGND, Varun VenkataramaniORCiDGND, Steffen SaßORCiDGND, Mike HeilemannORCiDGND, Thomas KunerORCiDGND
URN:urn:nbn:de:hebis:30:3-726134
DOI:https://doi.org/10.1101/791053
Parent Title (English):bioRxiv
Document Type:Preprint
Language:English
Date of Publication (online):2019/10/07
Date of first Publication:2019/10/07
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/06/12
Issue:791053
Page Number:28
HeBIS-PPN:509395937
Institutes:Biochemie, Chemie und Pharmazie / Biochemie und Chemie
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International