Abstract
Single molecule localization microscopy (SMLM) provided an unprecedented insight into the sub-nuclear organization of proteins and nucleic acids but apart from the nuclear envelope the role of the nuclear lipids in the functional organization of the cell nucleus was less studied. Nevertheless, nuclear lipids and specifically phosphatidylinositol phosphates (PIPs) play increasingly evident roles in gene expression. Therefore, here we provide the SMLM-based approach for the quantitative evaluation of the nuclear PIPs distribution while preserving the context of nuclear architecture. Specifically, on the example of phosphatidylinositol 4,5-bisphosphate (PIP2) we have:•Implemented and optimized the dual-color dSTORM imaging of nuclear PIP2.•Customized the Nearest Neighbor Distance analysis using ImageJ2 plug-in ThunderSTORM to quantitatively evaluate the spatial distribution of nuclear PIP2.•Developed an ImageJ2 tool for the visualization of the Nearest Neighbor Distance analysis results in cellulo.Our customization of the dual-color dSTORM imaging and quantitative analysis provide a tool that is independent of but complementary to the biochemical and lipidomic analyses of the nuclear PIPs. Contrary to the biochemical and lipidomic analyses, the advantage of our analysis is that it preserves the spatial context of the nuclear PIP distribution.