ArticleOpen biology2024
Combining single-molecule and expansion microscopy in fission yeast to visualize protein structures at the nanostructural level.
Article in Open biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- 3D Expansion-PALM (PhotoActivated Localization Microscopy) Dissects Protein-Protein Interactions Down to the Molecular Scale in Bacteria.Microorganisms · 2026Article
- Review of expansion microscopy combined with advanced imaging modalities.Journal of microscopy · 2026Review
- DNA-PAINT Imaging with Hydrogel Imprinting and Clearing.ACS sensors · 2025Article
- Combining single-molecule and expansion microscopy in fission yeast to visualize protein structures at the nanostructural level.Open biology · 2024Article
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Authors and funding
4 authors.
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Abstract
In this work, we have developed an expansion microscopy (ExM) protocol that combines ExM with photoactivated localization microscopy (ExPALM) for yeast cell imaging, and report a robust protocol for single-molecule and expansion microscopy of fission yeast, abbreviated as SExY. Our optimized SExY protocol retains about 50% of the fluorescent protein signal, doubling the amount obtained compared to the original protein retention ExM (proExM) protocol. It allows for a fivefold, highly isotropic expansion of fission yeast cells, which we carefully controlled while optimizing protein yield. We demonstrate the SExY method on several exemplary molecular targets and explicitly introduce low-abundant protein targets (e.g. nuclear proteins such as cbp1 and mis16, and the centromere-specific histone protein cnp1). The SExY protocol optimizations increasing protein yield could be beneficial for many studies, when targeting low abundance proteins, or for studies that rely on genetic labelling for various reasons (e.g. for proteins that cannot be easily targeted by extrinsic staining or in case artefacts introduced by unspecific staining interfere with data quality).
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