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 the rearrangement of charges within the channel proteins, at least in part by the movement of protein domains such as the 'S4'region that is seen in the peptide sequences of sodium, potassium and calcium channels. The present work will employ patch-clamp recordings of ionic currents and gating currents from channels expressed in Xenopus oocytes, and will use three novel analytical approaches to analyze the recordings. The work will also exploit newly-discovered mutations in Shaker potassium channels that perturb the voltage-gating process and have already revealed new aspects of that process. The goal is to answer fundamental questions about the mechanism of voltage gating in channels, including: (1) How many voltage sensing domains are there in the Shaker channels, and where are they in the primary sequence? (2) How do these domains interact to cause channel opening? (3) What is the coupling between voltage-sensing domains and the channel's pore?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS021501-10
Application #
2264196
Study Section
Physiology Study Section (PHY)
Project Start
1984-12-01
Project End
1999-11-30
Budget Start
1993-12-01
Budget End
1994-11-30
Support Year
10
Fiscal Year
1994
Total Cost
Indirect Cost
Name
Yale University
Department
Physiology
Type
Schools of Medicine
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
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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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