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Principles of Single-Channel Kinetic Analysis

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Patch-Clamp Methods and Protocols

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1183))

Abstract

Single-channel recording provides high resolution information on gating mechanisms of ion channels that are generally difficult to obtain from macroscopic measurements. Analysis of the data, however, has proven to be challenging. Early approaches rely on half-amplitude threshold detection to idealize the record into dwell-times, followed by fitting duration histograms to resolve kinetics. More recent analyses exploit explicit modeling of the data to improve the idealization accuracy. The dwell-time fitting has also evolved into direct fitting of dwell-time sequences using the maximum likelihood approach while taking account of effects of missed events. Finally, hidden Markov modeling provides an ultimate approach by which both single channel amplitudes and kinetics are analyzed simultaneously without the need of idealization. The progress in theory, along with the advance in computing power as well as the development of user-friendly software, has transformed single-channel analysis, once a specialty task, now readily accessible to a broader community of scientists.

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Authors and Affiliations

  1. Department of Physiology & Biophysics, University at Buffalo, 330 Cary Hall, Buffalo, NY, 14214, USA

    Feng Qin

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  1. Feng Qin
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Correspondence to Feng Qin .

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Editors and Affiliations

  1. Department of Translational Bioscience, National Research Council of Canada, Ottawa, Ontario, Canada

    Marzia Martina

  2. Dept of Neuroscience & Brain Technologies, Italian Institute of Technology, Genoa, Italy

    Stefano Taverna

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Qin, F. (2014). Principles of Single-Channel Kinetic Analysis. In: Martina, M., Taverna, S. (eds) Patch-Clamp Methods and Protocols. Methods in Molecular Biology, vol 1183. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1096-0_23

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  • DOI: https://doi.org/10.1007/978-1-4939-1096-0_23

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1095-3

  • Online ISBN: 978-1-4939-1096-0

  • eBook Packages: Springer Protocols

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