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      Cryo-EM structure of the open high conductance Ca 2+-activated K + channel

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          Abstract

          The Ca 2+-activated K + channel, Slo1, has an unusually large conductance and contains a voltage sensor and multiple chemical sensors. Dual activation by voltage and Ca 2+ renders Slo1 central to numerous cellular processes that couple electrical signaling to Ca 2+-mediated events such as muscle contraction and neuronal excitability. Here we present the cryo-electron microscopy structure of a full-length Slo1 channel from Aplysia californica in the presence of Ca 2+ and Mg 2+ at a resolution of 3.5 Å. The channel adopts an open conformation. Its voltage sensor domain adopts a non-domain-swapped attachment to the pore and contacts the cytoplasmic Ca 2+-binding domain from a neighboring subunit. Unique structural features of the Slo1 voltage sensor suggest that Slo1 likely employs a voltage sensing mechanism quite distinct from known voltage-dependent ion channels. The structure reveals the molecular details of three distinct divalent cation-binding sites identified through electrophysiological studies of mutant Slo1 channels.

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          Most cited references52

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          The Phenix software for automated determination of macromolecular structures.

          X-ray crystallography is a critical tool in the study of biological systems. It is able to provide information that has been a prerequisite to understanding the fundamentals of life. It is also a method that is central to the development of new therapeutics for human disease. Significant time and effort are required to determine and optimize many macromolecular structures because of the need for manual interpretation of complex numerical data, often using many different software packages, and the repeated use of interactive three-dimensional graphics. The Phenix software package has been developed to provide a comprehensive system for macromolecular crystallographic structure solution with an emphasis on automation. This has required the development of new algorithms that minimize or eliminate subjective input in favor of built-in expert-systems knowledge, the automation of procedures that are traditionally performed by hand, and the development of a computational framework that allows a tight integration between the algorithms. The application of automated methods is particularly appropriate in the field of structural proteomics, where high throughput is desired. Features in Phenix for the automation of experimental phasing with subsequent model building, molecular replacement, structure refinement and validation are described and examples given of running Phenix from both the command line and graphical user interface. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Voltage sensor of Kv1.2: structural basis of electromechanical coupling.

            Voltage-dependent ion channels contain voltage sensors that allow them to switch between nonconductive and conductive states over the narrow range of a few hundredths of a volt. We investigated the mechanism by which these channels sense cell membrane voltage by determining the x-ray crystal structure of a mammalian Shaker family potassium ion (K+) channel. The voltage-dependent K+ channel Kv1.2 grew three-dimensional crystals, with an internal arrangement that left the voltage sensors in an apparently native conformation, allowing us to reach three important conclusions. First, the voltage sensors are essentially independent domains inside the membrane. Second, they perform mechanical work on the pore through the S4-S5 linker helices, which are positioned to constrict or dilate the S6 inner helices of the pore. Third, in the open conformation, two of the four conserved Arg residues on S4 are on a lipid-facing surface and two are buried in the voltage sensor. The structure offers a simple picture of how membrane voltage influences the open probability of the channel.
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              Contribution of the S4 segment to gating charge in the Shaker K+ channel.

              Voltage-activated ion channels respond to changes in membrane voltage by coupling the movement of charges to channel opening. A K+ channel-specific radioligand was designed and used to determine the origin of these gating charges in the Shaker K+ channel. Opening of a Shaker K+ channel is associated with a displacement of 13.6 electron charge units. Gating charge contributions were determined for six of the seven positive charges in the S4 segment, an unusual amino acid sequence in voltage-activated cation channels consisting of repeating basic residues at every third position. Charge-neutralizing mutations of the first four positive charges led to large decreases (approximately 4 electron charge units each) in the gating charge; however, the gating charge of Shaker delta 10, a Shaker K+ channel with 10 altered nonbasic residues in its S4 segment, was found to be identical to the wild-type channel. These findings show that movement of the NH2-terminal half but not the CO2H-terminal end of the S4 segment underlies gating charge, and that this portion of the S4 segment appears to move across the entire transmembrane voltage difference in association with channel activation.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                26 April 2017
                14 December 2016
                05 January 2017
                07 July 2017
                : 541
                : 7635
                : 46-51
                Affiliations
                [1 ]Rockefeller University and Howard Hughes Medical Institute, 1230 York Avenue, New York, NY 10065
                Author notes
                Correspondence and requests for materials should be addressed to mackinn@ 123456mail.rockefeller.edu
                Article
                PMC5500982 PMC5500982 5500982 nihpa870351
                10.1038/nature20608
                5500982
                27974795
                93420731-3f4b-444c-8b79-088f6821ef21
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