Advanced microscopy techniques (such as STORM, STED, and SIM) have recently allowed the visualization of biological samples beyond the diffraction limit of light. Thanks to this breakthrough, the organization of molecules can be revealed within single cells as never before.Here, we describe the application of STochastic Optical Reconstruction Microscopy (STORM) for the study of polycomb group of proteins (PcG) in the context of chromatin organization. We present a clustering algorithm to quantitatively analyze the spatial distribution of nuclear molecules (e.g., EZH2 or its associated chromatin mark H3K27me3) imaged by 2D STORM. This distance-based analysis uses x-y coordinates of STORM localizations to group them into "clusters." Clusters are classified as singles if isolated or into islands if they form a group of closely associated clusters. For each cluster, the algorithm calculates the number of localizations, the area, and the distance to the closest cluster.This approach can be used for every type of adherent cell line and allows the imaging of every protein for which an antibody is available. It represents a comprehensive strategy to visualize and quantify how PcG proteins and related histone marks organize in the nucleus at nanometric resolution.
Keywords: Antibodies; Chromatin; Cluster analysis; Histone modifications; Imaging; Microscopy; PcG; Polycomb; STORM; Super-resolution.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.