1996
DOI: 10.1016/s0006-3495(96)79568-1
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Estimating single-channel kinetic parameters from idealized patch-clamp data containing missed events

Abstract: We present here a maximal likelihood algorithm for estimating single-channel kinetic parameters from idealized patch-clamp data. The algorithm takes into account missed events caused by limited time resolution of the recording system. Assuming a fixed dead time, we derive an explicit expression for the corrected transition rate matrix by generalizing the theory of Roux and Sauve (1985, Biophys. J. 48:149-158) to the case of multiple conductance levels. We use a variable metric optimizer with analytical derivat… Show more

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Cited by 417 publications
(503 citation statements)
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References 31 publications
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“…The closed-channel current was manually set to zero, and the entire filtered dataset from a given patch was idealized with the segmental k means (SKM) algorithm of QuB to identify single-channel transitions and estimate conductance levels and event durations (Qin et al, 1996;Qin, 2004). Because our data appeared to contain many rapid transitions between several closely spaced open levels, we empirically tested different sampling rates and resolutions.…”
Section: Methodsmentioning
confidence: 99%
“…The closed-channel current was manually set to zero, and the entire filtered dataset from a given patch was idealized with the segmental k means (SKM) algorithm of QuB to identify single-channel transitions and estimate conductance levels and event durations (Qin et al, 1996;Qin, 2004). Because our data appeared to contain many rapid transitions between several closely spaced open levels, we empirically tested different sampling rates and resolutions.…”
Section: Methodsmentioning
confidence: 99%
“…These instantaneous growth rates were uniformly high during obvious uncapped states and near zero during capped states. With these instantaneous growth rates as reporters of the true hidden barbed-end state (capped or uncapped), we used QuB kinetic analysis software, available on line (28,29), for Baum-Welch idealization and to estimate rate constants for capping and uncapping. We assumed a simple, second-order model for capping protein (C) binding to Mg-ATP-actin filament barbed ends (A n ) of…”
Section: Data Collection and Analysismentioning
confidence: 99%
“…Segments of current traces showing single-channel activity were selected and idealized using the SKM algorithm of QuB (Qin et al 1996). Histograms of open-channel time distributions showed a single component and hence could be well fitted with single exponential curves using Igor Pro and their means were calculated (Fig.…”
Section: Dwell-time Analysismentioning
confidence: 99%
“…Rate-kinetics of the fast gating transitions (protonation/deprotonation) were fitted (MIL-algorithm) for each patch experiment separately with correction for missed events, imposing a dead-time of 90-100 ls (Qin et al 1996).…”
Section: Dwell-time Analysismentioning
confidence: 99%