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      Super-resolution imaging of potassium channels with genetically encoded EGFP

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      research-article
      1 , 2 , 3 , 1 , 2 , 1 , 2 , *
      bioRxiv
      Cold Spring Harbor Laboratory

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          Abstract

          The plasma membrane is a well-organized structure of lipids and proteins, segmented into lipid compartments under 200 nm in size. This specific spatial patterning is crucial for the function of proteins and necessitates super-resolution imaging for its elucidation. Here, we establish that the genetically encoded enhanced green fluorescent protein (EGFP), when combined with direct optical reconstruction microscopy (dSTORM), tracks shear- and cholesterol-induced nanoscopic patterning of potassium channels overexpressed in HEK293T cells. Leveraging EGFP in dSTORM (EGFP-STORM), our findings indicate that cholesterol directs the C-terminus of TWIK-related potassium channel (TREK-1) to ceramide-enriched lipid ganglioside (GM1) clusters. In the absence of the C-terminus, the channel associates with phosphatidylinositol 4,5-bisphosphate (PIP 2) cluster. Similarly, cholesterol derived from astrocytes repositions EGFP-tagged inward-rectifying potassium (Kir) channels into GM1 clusters. Without cholesterol, the channel aligns with PIP 2 lipids. We deduce that cholesterol’s interaction with Kir sequesters the channel, separating it from its activating lipid PIP 2. Fundamentally, a genetically encoded EGFP tag should make any protein amenable to dSTORM analysis.

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          The mystery of membrane organization: composition, regulation and roles of lipid rafts

          Lipid rafts are relatively ordered membrane domains that are enriched in cholesterol and saturated lipids, and selectively recruit other lipids and proteins. They are dynamic and heterogeneous in composition and are thus challenging to visualize in vivo. New technologies are providing novel insights into the formation, organization and functions of these membrane domains.
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            Subdiffraction-resolution fluorescence imaging with conventional fluorescent probes.

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              Live-cell photoactivated localization microscopy of nanoscale adhesion dynamics.

              We demonstrate live-cell super-resolution imaging using photoactivated localization microscopy (PALM). The use of photon-tolerant cell lines in combination with the high resolution and molecular sensitivity of PALM permitted us to investigate the nanoscale dynamics within individual adhesion complexes (ACs) in living cells under physiological conditions for as long as 25 min, with half of the time spent collecting the PALM images at spatial resolutions down to approximately 60 nm and frame rates as short as 25 s. We visualized the formation of ACs and measured the fractional gain and loss of individual paxillin molecules as each AC evolved. By allowing observation of a wide variety of nanoscale dynamics, live-cell PALM provides insights into molecular assembly during the initiation, maturation and dissolution of cellular processes.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                14 October 2023
                : 2023.10.13.561998
                Affiliations
                [1 ]Departments of Molecular Medicine, UF Scripps, Jupiter Florida 33458, USA
                [2 ]Department of Neuroscience, UF Scripps, Jupiter Florida 33458, USA
                [3 ]Department of Biology, Brigham Young University-Idaho; Rexburg ID 83440, USA.
                Author notes

                Author Contributions

                I.M.C. performed the dSTORM imaging, expressed and purified the cholesterol oxidase, and wrote the initial draft of the paper. J.L.B. performed cholesterol assays, wide field imaging experiments, and cluster analysis. S.B.H. designed the experiments, over saw the project, edited the draft, and assisted with data analysis.

                [* ]Correspondence: hansen.scott@ 123456ufl.edu
                Article
                10.1101/2023.10.13.561998
                10592817
                37873307
                1ceeb274-b81e-41df-a3dc-193eab44e4b8

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

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