Imaging fenestrations in liver sinusoidal endothelial cells by optical localization microscopy
Literature Information
Viola Mönkemöller, Mark Schüttpelz, Peter McCourt, Karen Sørensen, Bård Smedsrød
Liver sinusoidal endothelial cells (LSEC) are an important class of endothelial cells facilitating the translocation of lipoproteins and small molecules between the liver and blood. A number of clinical conditions, especially metabolic and aging-related disorders, are implicated by improper function of LSECs. Despite their importance, research into these cells is limited because the primary ultrastructures involved in their function are transcellular pores, called fenestrations, with diameters in a size range between 50–200 nm, i.e. well below the optical diffraction limit. Here, we show that we are able to resolve fenestrations with a spatial resolution of ∼20 nm by direct stochastic optical reconstruction microscopy (dSTORM). The cellular plasma membrane was labeled at high fluorophore density with CellMask Deep Red and imaged using a reducing buffer system. We compare the higher degree of structural detail that dSTORM provides to results obtained by 3D structured illumination microscopy (3D-SIM). Our results open up a path to image these physiologically important cells in vitro using highly resolving localization microscopy techniques that could be implemented on non-specialized fluorescence microscopes, enabling their investigation in most biomedical laboratories without the need for electron microscopy.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.




