Voltage-gated ion channels are responsible for the conduction of action potentials in nerve and muscle, and are critical in the timing of rhythmic electrical activity in the heart, smooth muscle and secretory cells, among others. The mechanism by which changes in membrane potential lead to the opening and closing of these channels is partly understood: it involves a series of conformational changes within the channel protein which result in a large changes in the disposition of charged residues. The result is a gating charge movement which couples membrane potential changes to channel opening. The most-studied voltage-gated channel is the Shaker potassium channel. The focus of our work will be to obtain physical and structural insights into the """"""""voltage sensor"""""""" in each Shaker subunit and the nature of its voltage-dependent conformational change. Toward this goal we will first combine patch-clamp recordings of ionic and gating currents with computer solutions to the Poisson-Boltzmann equation to infer features of the geometry of solution access to the gating charges, and to search, through the use of chimaeric channels, for regions of the channel sequence that influence the extent of voltage-dependent conformational changes. We will search for conditions under which the channel protein can be locked into its """"""""closed"""""""" and """"""""open"""""""" states. Using cryo-electronmicroscopy, we will then obtain images of the purified, reconstituted channel protein in these states from vesicles rapidly frozen in vitreous ice. The three- dimensional structure of the channel at low resolution will be reconstructed by single-particle image-processing techniques. in support of this effort we will seek to develop new techniques for the reconstruction of structures of proteins in vesicle membranes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS021501-17
Application #
6330421
Study Section
Special Emphasis Panel (ZRG1-MDCN-3 (01))
Program Officer
Talley, Edmund M
Project Start
1984-12-01
Project End
2004-11-30
Budget Start
2000-12-01
Budget End
2001-11-30
Support Year
17
Fiscal Year
2001
Total Cost
$499,751
Indirect Cost
Name
Yale University
Department
Physiology
Type
Schools of Medicine
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
Bai, Jun-Ping; Moeini-Naghani, Iman; Zhong, Sheng et al. (2017) Current carried by the Slc26 family member prestin does not flow through the transporter pathway. Sci Rep 7:46619
Sigworth, Fred J (2016) Principles of cryo-EM single-particle image processing. Microscopy (Oxf) 65:57-67
Jensen, Katrine Hommelhoff; Sigworth, Fred J; Brandt, Sami Sebastian (2016) Removal of Vesicle Structures From Transmission Electron Microscope Images. IEEE Trans Image Process 25:540-52
Jensen, Katrine Hommelhoff; Brandt, Sami Sebastian; Shigematsu, Hideki et al. (2016) Statistical modeling and removal of lipid membrane projections for cryo-EM structure determination of reconstituted membrane proteins. J Struct Biol 194:49-60
Tagare, Hemant D; Kucukelbir, Alp; Sigworth, Fred J et al. (2015) Directly reconstructing principal components of heterogeneous particles from cryo-EM images. J Struct Biol 191:245-62
Dvornek, Nicha C; Sigworth, Fred J; Tagare, Hemant D (2015) SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction. J Struct Biol 190:200-14
Singh, Satinder K; Sigworth, Fred J (2015) Cryo-EM: Spinning the Micelles Away. Structure 23:1561
Kucukelbir, Alp; Sigworth, Fred J; Tagare, Hemant D (2014) Quantifying the local resolution of cryo-EM density maps. Nat Methods 11:63-5
Liu, Yunhui; Sigworth, Fred J (2014) Automatic cryo-EM particle selection for membrane proteins in spherical liposomes. J Struct Biol 185:295-302
Shigematsu, H; Sigworth, F J (2013) Noise models and cryo-EM drift correction with a direct-electron camera. Ultramicroscopy 131:61-9

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