Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues.
Maja KlevanskiFrank HerrmannsdoerferSteffen SassVarun VenkataramaniMike HeilemannThomas KunerPublished in: Nature communications (2020)
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 <10 nm localization precision, allowing us to define distinct nano-architectural features of protein distribution within the presynaptic nerve terminal.
Keyphrases
- single molecule
- high resolution
- high throughput
- deep learning
- atomic force microscopy
- high speed
- living cells
- induced apoptosis
- protein protein
- machine learning
- optical coherence tomography
- single cell
- cell cycle arrest
- binding protein
- randomized controlled trial
- amino acid
- small molecule
- mass spectrometry
- gene expression
- cell death
- endothelial cells
- signaling pathway
- endoplasmic reticulum stress
- quantum dots
- brain injury
- oxidative stress
- light emitting