scholarly journals Microscopic Origin of Gating Current Fluctuations in a Potassium Channel Voltage Sensor

2012 ◽  
Vol 102 (11) ◽  
pp. L44-L46 ◽  
Author(s):  
J. Alfredo Freites ◽  
Eric V. Schow ◽  
Stephen H. White ◽  
Douglas J. Tobias
2012 ◽  
Vol 102 (3) ◽  
pp. 686a
Author(s):  
J. Alfredo Freites ◽  
Eric V. Schow ◽  
Stephen H. White ◽  
Douglas J. Tobias

Author(s):  
Luigi Catacuzzeno ◽  
Fabio Franciolini ◽  
Francisco Bezanilla ◽  
Robert S. Eisenberg

AbstractThe activation of voltage-dependent ion channels is associated with the movement gating charges, that give rise to gating currents. Although gating currents originating from a single channel are too small to be detected, analysis of the fluctuations of macroscopic gating currents originating from a population of channels can make a good guess of their magnitude. The analysis of experimental gating current fluctuations, when interpreted in terms of a Markov model of channel activation, are in accordance with the presence of a main step along the activation pathway carrying 2.3-2.4 e0 of charge. To give a physical interpretation to these results and to relate them to the known atomic structure of the voltage sensor domain, we employed a Brownian model of voltage-dependent gating that we recently developed using structural information and applying the laws of electrodynamics. The model was capable to reproduce gating currents and gating current fluctuations essentially similar to those experimentally observed. The detailed study of this model output, also performed by making several simplifications aimed at understanding the basic dependencies of the gating current fluctuations, suggests that in real ion channels the voltage sensor does not move in a fully Markovian regimen due to the relatively low (<5 kT) energy barriers separating successive intermediate states. As a consequence, the simultaneous jump of multiple gating charges through the gating pore becomes frequent, and this occurrence is at the origin of the relatively high single-step charge detected by assuming Markovian behavior.


2010 ◽  
Vol 98 (3) ◽  
pp. 521a
Author(s):  
Tamer M. Gamal El-Din ◽  
Hansjakob Heldstab ◽  
Claudia Lehmann ◽  
Nikolaus G. Greeff

2001 ◽  
Vol 80 (4) ◽  
pp. 1802-1809 ◽  
Author(s):  
Fredrik Elinder ◽  
Peter Århem ◽  
H. Peter Larsson

2011 ◽  
Vol 100 (3) ◽  
pp. 367a
Author(s):  
Yajamana Ramu ◽  
Yanping Xu ◽  
Zhe Lu

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Luca Conti ◽  
Jakob Renhorn ◽  
Anders Gabrielsson ◽  
Fredrik Turesson ◽  
Sara I Liin ◽  
...  

2004 ◽  
Vol 87 (4) ◽  
pp. 2365-2379 ◽  
Author(s):  
Werner Treptow ◽  
Bernard Maigret ◽  
Christophe Chipot ◽  
Mounir Tarek

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