A Multilabel Single Molecule Localization Microscopy Protocol for Investigation of Chromatin in the Dense Nuclear Environment.

Authors

Nicolas Acosta, Ruyi Gong, Yuanzhe Su, Jane Frederick, Karla Medina, Kiana Mohammadian, Luay Almassalha, Geng Wang, Vadim Backman

Published in

Journal of visualized experiments : JoVE. Issue 232. Jun 05, 2026. Epub Jun 05, 2026.

Abstract

Super-resolution microscopy has dramatically advanced our ability to interrogate biological structures beyond the diffraction limit, making it indispensable for studying densely packed nuclear structures such as chromatin, nuclear lamina and nuclear bodies such as nucleoli. Chromatin exhibits multiscale organization-from nanometer-sized nucleosomes to micron-scale domains-necessitating imaging approaches capable of both high resolution and molecular specificity. Single molecule localization microscopy (SMLM), particularly stochastic optical reconstruction microscopy (STORM) , enables precise mapping of epigenetic marks, offering critical insight into chromatin structure and function. However, multi-label imaging in the nuclear environment presents unique challenges, including reduced antibody accessibility, increased non-specific binding, and fluorophore instability. To address these issues, we present a sequential immunolabeling protocol optimized for high-density nuclear environments, enabling robust three-color SMLM with minimal crosstalk and less signal degradation. This method includes optimized buffer formulations, fluorophore selection, and antibody validation strategies to ensure reproducible, high-fidelity labeling across multiple targets. Importantly, we integrate this protocol with a computational analysis pipeline that leverages localizations from one molecular target as spatial anchors (seed points) to quantify inter-target distances, local densities, and multi-label co-affinity. This allows for a detailed spatial analysis of chromatin components at the nanoscale. This protocol serves as a reproducible framework for multi-component imaging and quantitative analysis in dense subcellular environments, offering a powerful tool for researchers investigating complex nuclear architectures like chromatin.

PMID:
42330033
Bibliographic data and abstract were imported from PubMed on 23 Jun 2026.

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