bioRxivBiophysicsPreprint
Structural cell biology by mega-expansion microscopy
Ignacio Vega-VásqueziD, Omar Ignacio García-MartíneziD, Camila García‐NavarreteiD, Gang WeniD, Christian D. WerneriD, Patrick EiringiD, Jorge A. ToledoiD, Sushovan ChandaiD, Clinton GonsalvesiD, Ali ShaibiD, Gislene PereiraiD, Silvio O. RizzoliiD, Ricardo BenaventeiD, Philip KollmannsbergeriD, Markus SaueriD
Abstract
Structural characterization of macromolecular assemblies within intact cells remains one of the central challenges in cell biology. While cryo-electron tomography provides unparalleled structural information, its applicability is limited by sample thickness, imaging throughput, and accessibility. Fluorescence microscopy offers molecular specificity and compatibility with intact biological specimens but has so far lacked the spatial resolution required to visualize cellular ultrastructure. Here we introduce Mega-expansion microscopy (Mega-ExM), a fluorescence imaging approach that enables structural visualization of whole cells using conventional confocal microscopes. Mega-ExM combines iterative hydrogel expansion with whole-proteome NHS-dye labeling and post-expansion immunostaining to achieve tunable expansion factors of up to [~]1,500-fold while preserving ultrastructure. At expansion factors of 40-260x, Mega-ExM resolves centrioles, mitochondrial cristae, protein-dense domains within mitochondrial cristae consistent with respiratory-chain supercomplexes, the synaptonemal complex, and nuclear pore complexes (NPCs) with high fidelity. Particle averaging of [~]200x expanded NPCs yields reconstructions with a structural resolution of [~]35 [A], approaching what cryo-electron tomography has achieved for selected protein assemblies. By combining molecular specificity, large imaging volumes, and nanoscale structural resolution on conventional fluorescence microscopes, Mega-ExM establishes a broadly accessible platform for in situ structural biology.
- assay: fluorescence / live-cell microscopy
- research focus: cell type annotation
- research focus: spatial domain detection
- approach: microscopy & imaging analysis
- Citations
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