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      A stochastic model of ion channel cluster formation in the plasma membrane

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          Abstract

          Ion channels are often found in dense clusters within the plasma membranes of excitable cells. Based on experimental measurements of a wide range of channels in various cell types, Sato et al. propose that channel clusters form stochastically and that their size is regulated by a common feedback mechanism.

          Abstract

          Ion channels are often found arranged into dense clusters in the plasma membranes of excitable cells, but the mechanisms underlying the formation and maintenance of these functional aggregates are unknown. Here, we tested the hypothesis that channel clustering is the consequence of a stochastic self-assembly process and propose a model by which channel clusters are formed and regulated in size. Our hypothesis is based on statistical analyses of the size distributions of the channel clusters we measured in neurons, ventricular myocytes, arterial smooth muscle, and heterologous cells, which in all cases were described by exponential functions, indicative of a Poisson process (i.e., clusters form in a continuous, independent, and memory-less fashion). We were able to reproduce the observed cluster distributions of five different types of channels in the membrane of excitable and tsA-201 cells in simulations using a computer model in which channels are “delivered” to the membrane at randomly assigned locations. The model’s three parameters represent channel cluster nucleation, growth, and removal probabilities, the values of which were estimated based on our experimental measurements. We also determined the time course of cluster formation and membrane dwell time for Ca V1.2 and TRPV4 channels expressed in tsA-201 cells to constrain our model. In addition, we elaborated a more complex version of our model that incorporated a self-regulating feedback mechanism to shape channel cluster formation. The strong inference we make from our results is that Ca V1.2, Ca V1.3, BK, and TRPV4 proteins are all randomly inserted into the plasma membranes of excitable cells and that they form homogeneous clusters that increase in size until they reach a steady state. Further, it appears likely that cluster size for a diverse set of membrane-bound proteins and a wide range of cell types is regulated by a common feedback mechanism.

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          Fluorescence nanoscopy by ground-state depletion and single-molecule return.

          We introduce far-field fluorescence nanoscopy with ordinary fluorophores based on switching the majority of them to a metastable dark state, such as the triplet, and calculating the position of those left or those that spontaneously returned to the ground state. Continuous widefield illumination by a single laser and a continuously operating camera yielded dual-color images of rhodamine- and fluorescent protein-labeled (living) samples, proving a simple yet powerful super-resolution approach.
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            Induction, assembly, maturation and maintenance of a postsynaptic apparatus.

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              Clustering of Shaker-type K+ channels by interaction with a family of membrane-associated guanylate kinases.

              ANCHORING of ion channels at specific subcellular sites is critical for neuronal signalling, but the mechanisms underlying channel localization and clustering are largely unknown (reviewed in ref. 1). Voltage-gated K+ channels are concentrated in various neuronal domains, including presynaptic terminals, nodes of Ranvier and dendrites, where they regulate local membrane excitability. Here we present functional and biochemical evidence that cell-surface clustering of Shaker-subfamily K+ channels is mediated by the PSD-95 family of membrane-associated putative guanylate kinases, as a result of direct binding of the carboxy-terminal cytoplasmic tails to the K+ channel subunits to two PDZ (also known as GLGF or DHR) domains in the PSD-95 protein. The ability of PDZ domains to function as independent modules for protein-protein interaction, and their presence in other junction-associated molecules (such as ZO-1 (ref. 3) and syntrophin), suggest that PDZ-domain-containing polypeptides may be widely involved in the organization of proteins at sites of membrane specialization.
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                Author and article information

                Journal
                J Gen Physiol
                J. Gen. Physiol
                jgp
                jgp
                The Journal of General Physiology
                Rockefeller University Press
                0022-1295
                1540-7748
                02 September 2019
                01 August 2019
                : 151
                : 9
                : 1116-1134
                Affiliations
                [1 ]Department of Pharmacology, University of California School of Medicine, Davis, CA
                [2 ]Department of Physiology and Membrane Biology, University of California School of Medicine, Davis, CA
                [3 ]Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle, WA
                Author notes
                Correspondence to L. Fernando Santana: lfsantana@ 123456ucdavis.edu
                [*]

                D. Sato, G. Hernández-Hernández, and C. Matsumoto contributed equally to this paper.

                Author information
                https://orcid.org/0000-0001-9341-0970
                https://orcid.org/0000-0002-5138-9808
                https://orcid.org/0000-0001-8397-3649
                https://orcid.org/0000-0003-0655-690X
                https://orcid.org/0000-0001-5334-9984
                https://orcid.org/0000-0001-6864-6594
                https://orcid.org/0000-0002-6117-3912
                https://orcid.org/0000-0002-4297-8029
                Article
                201912327
                10.1085/jgp.201912327
                6719406
                31371391
                925dff93-a3dc-49aa-acbb-a201d64e6ea0
                © 2019 Sato et al.

                This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).

                History
                : 17 January 2019
                : 05 July 2019
                : 08 July 2019
                Page count
                Pages: 19
                Funding
                Funded by: National Institutes of Health, DOI https://doi.org/10.13039/100000002;
                Award ID: 5R01HL085686
                Award ID: R01NS077863
                Award ID: U01HL126273
                Award ID: R01HL128537
                Award ID: 1R01HL144071
                Award ID: 1OT2OD026580
                Award ID: T32HL086350
                Award ID: R00-HL111334
                Award ID: 1K99AG056595-01
                Funded by: American Heart Association, DOI https://doi.org/10.13039/100000968;
                Award ID: 15SDG25560035
                Award ID: 18PRE33960249
                Award ID: 16GRNT31300018
                Funded by: Amazon AWS Cloud Credits for Research
                Categories
                Research Articles
                Research Article
                501
                503
                504

                Anatomy & Physiology
                Anatomy & Physiology

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