Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics.

Lagache, Thibault; Grassart, Alexandre; Dallongeville, Stéphane; Faklaris, Orestis; Sauvonnet, Nathalie; Dufour, Alexandre; Danglot, Lydia; Olivo-Marin, Jean-Christophe · Nat Commun · 2018

basic_science · Level V

Where this comes from

Abstract

Elucidating protein functions and molecular organisation requires to localise precisely single or aggregated molecules and analyse their spatial distributions. We develop a statistical method SODA (Statistical Object Distance Analysis) that uses either micro- or nanoscopy to significantly improve on standard co-localisation techniques. Our method considers cellular geometry and densities of molecules to provide statistical maps of isolated and associated (coupled) molecules. We use SODA with three-colour structured-illumination microscopy (SIM) images of hippocampal neurons, and statistically characterise spatial organisation of thousands of synapses. We show that presynaptic synapsin is arranged in asymmetric triangle with the 2 postsynaptic markers homer and PSD95, indicating a deeper localisation of homer. We then determine stoichiometry and distance between localisations of two synaptic vesicle proteins with 3D-STORM. These findings give insights into the protein organisation at the synapse, and prove the efficiency of SODA to quantitatively assess the geometry of molecular assemblies.