title: Statistical properties of ion channel records. Part II: estimation from the macroscopic current.
abstract: Macroscopic ion channel current is the summation of the stochastic records of individual channel currents and therefore relates to their statistical properties. As a consequence of this relationship, it may be possible to derive certain statistical properties of single channel records or even generate some estimates of the records themselves from the macroscopic current when the direct measurement of single channel currents is not applicable. We present a procedure for generating the single channel records of an ion channel from its macroscopic current when the stochastic process of channel gating has the following two properties: (I) the open duration is independent of the time of opening event and has a single exponential probability density function (pdf), (II) all the channels have the same probability to open at time t. The application of this procedure is considered for cases where direct measurement of single channel records is difficult or impossible. First, the probability density function (pdf) of opening events, a statistical property of single channel records, is derived from the normalized macroscopic current and mean channel open duration. Second, it is shown that under the conditions (I) and (II), a non-stationary Markov model can represent the stochastic process of channel gating. Third, the non-stationary Markov model is calibrated using the results of the first step. The non-stationary formulation increases the model ability to generate a variety of different single channel records compared to common stationary Markov models. The model is then used to generate single channel records and to obtain other statistical properties of the records. Experimental single channel records of inactivating BK potassium channels are used to evaluate how accurately this procedure reconstructs measured single channel sweeps.
authors.affiliation: Cardiac Bioelectricity and Arrhythmia Center, Washington University in St. Louis, 290 Whitaker Hall, Campus Box 1097, One Brooking Drive, St. Louis, MO 63130-4899, USA. ali@biomed.wustl.edu
authors.forename: Ali
authors.initials: A
authors.lastname: Nekouzadeh
authors.forename: Yoram
authors.initials: Y
authors.lastname: Rudy
mesh_terms: D015640:Ion Channel Gating; D007473:Ion Channels / Q000378:metabolism*; D051036:Large-Conductance Calcium-Activated Potassium Channels / Q000378:metabolism; D008390:Markov Chains; D008433:Mathematics; D008954:Models, Biological; D018408:Patch-Clamp Techniques; D011336:Probability; D012985:Software Design; D013269:Stochastic Processes
chemical_list: D007473:Ion Channels; D051036:Large-Conductance Calcium-Activated Potassium Channels