Literature DB >> 1382212

Ion channels. Preventing artifacts and reducing errors in single-channel analysis.

K L Magleby.   

Abstract

The power of single-channel analysis techniques has rapidly expanded during the past few years, giving investigators increased ability to identify models and estimate parameters while reducing error and artifacts. At present, however, there is no single best method, as even the most advanced techniques have various limitations which depend on the experimental data and models being examined. Consequently, for the examined models and experimental data, the most critical part of single-channel analysis is to estimate errors and evaluate the ability of the methods used to discriminate among possible gating mechanisms. The magnitudes of the errors and the ability to identify models and estimate parameters depend on the models being examined as well as the experimental conditions and data. Consequently, the evaluation of the errors associated with each method needs to be repeated when the experimental data and examined models change.

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Year:  1992        PMID: 1382212     DOI: 10.1016/0076-6879(92)07055-s

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  16 in total

Review 1.  Recording, analysis, and function of dendritic voltage-gated channels.

Authors:  Meron Gurkiewicz; Alon Korngreen
Journal:  Pflugers Arch       Date:  2006-04-08       Impact factor: 3.657

2.  Bubbles, gating, and anesthetics in ion channels.

Authors:  Roland Roth; Dirk Gillespie; Wolfgang Nonner; Robert E Eisenberg
Journal:  Biophys J       Date:  2008-01-30       Impact factor: 4.033

3.  Functional coupling of the beta(1) subunit to the large conductance Ca(2+)-activated K(+) channel in the absence of Ca(2+). Increased Ca(2+) sensitivity from a Ca(2+)-independent mechanism.

Authors:  C M Nimigean; K L Magleby
Journal:  J Gen Physiol       Date:  2000-06       Impact factor: 4.086

4.  Description of interacting channel gating using a stochastic Markovian model.

Authors:  K Manivannan; R T Mathias; E Gudowska-Nowak
Journal:  Bull Math Biol       Date:  1996-01       Impact factor: 1.758

5.  Level detection in ion channel records via idealization by statistical filtering and likelihood optimization.

Authors:  V P Pastushenko; H Schindler
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1997-01-29       Impact factor: 6.237

6.  Kinetic structure of large-conductance Ca2+-activated K+ channels suggests that the gating includes transitions through intermediate or secondary states. A mechanism for flickers.

Authors:  B S Rothberg; K L Magleby
Journal:  J Gen Physiol       Date:  1998-06       Impact factor: 4.086

7.  Voltage and Ca2+ activation of single large-conductance Ca2+-activated K+ channels described by a two-tiered allosteric gating mechanism.

Authors:  B S Rothberg; K L Magleby
Journal:  J Gen Physiol       Date:  2000-07-01       Impact factor: 4.086

Review 8.  Is realistic neuronal modeling realistic?

Authors:  Mara Almog; Alon Korngreen
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

9.  Gating kinetics of single large-conductance Ca2+-activated K+ channels in high Ca2+ suggest a two-tiered allosteric gating mechanism.

Authors:  B S Rothberg; K L Magleby
Journal:  J Gen Physiol       Date:  1999-07       Impact factor: 4.086

10.  Burst kinetics of single NMDA receptor currents in cell-attached patches from rat brain cortical neurons in culture.

Authors:  N W Kleckner; B S Pallotta
Journal:  J Physiol       Date:  1995-07-15       Impact factor: 5.182

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