Idealizing ion channel recordings by a jump segmentation multiresolution filter.
Based on a combination of jump segmentation and statistical multiresolution analysis for dependent data, a new approach called J-SMURF to idealize ion channel recordings has been developed. It is model-free in the sense that no a-priori assumptions about the channel’s characteristics have to be made; it thus complements existing methods which assume a model for the channel's dynamics, like hidden Markov models. The method accounts for the effect of an analog filter being applied before the data analysis, which results in colored noise, by adapting existing muliresolution statistics to this situation. J-SMURF’s ability to denoise the signal without missing events even when the signal-to-noise ratio is low is demonstrated on simulations as well as on ion current traces obtained from gramicidin A channels reconstituted into solvent-free planar membranes. When analyzing a newly synthesized acylated system of a fatty acid modified gramicidin channel, we are able to give statistical evidence for unknown gating characteristics such as subgating.
Thomas
T
Hotz
Ole M
OM
Schütte
Hannes
H
Sieling
Tatjana
T
Polupanow
Ulf
U
Diederichsen
Claudia
C
Steinem
Axel
A
Munk
D003198:Computer Simulation; D004594:Electrophysiology / Q000379:methods*; D006096:Gramicidin; D007473:Ion Channels / Q000502:physiology*; D008051:Lipid Bilayers / Q000378:metabolism; D008954:Models, Biological; D018408:Patch-Clamp Techniques / Q000379:methods*; D012815:Signal Processing, Computer-Assisted
D007473:Ion Channels; D008051:Lipid Bilayers; D006096:Gramicidin