How powerful is the dwell-time analysis of multichannel records?

Journal of Membrane Biology

Volumn 165, Issue 1, 1998, Pages 19-35

  Blunck, R ^a   Kirst, U ^a   Riessner, T ^a   Hansen, U P ^a  

^a UNIVERSITY OF KIEL   (Germany)

Author keywords

Channel interaction; Dwell time histograms; Markov process; Rate constants; Target fit

Indexed keywords

ALGORITHM; ARTICLE; HISTOGRAM; MULTICHANNEL RECORDER; PATCH CLAMP; SIGNAL NOISE RATIO; SIMULATION;

ALGORITHMS; ION CHANNELS; KINETICS; MARKOV CHAINS; MODELS, BIOLOGICAL; PATCH-CLAMP TECHNIQUES; PROBABILITY; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 0032169828     PISSN: 00222631     EISSN: None     Source Type: Journal    
DOI: 10.1007/s002329900417     Document Type: Article

References (57)

1. Albertsen, A., Hansen, U.P. 1994. Estimation of kinetic rate constants from multichannel recordings by a direct fit of the time series. Biophys. J. 67:1393-1403
2. Ball, F., Milne, R.K., Yeo, G.F. 1993. On the exact distribution of observed open times in single ion channel models. J. Appl. Prob. 30:529-537
3. Ball, F.G., Rice, J.A. 1992. Stochastic models for ion channels: introduction and bibliography. Math. Biosci. 112:189-206
4. Ball, F.G., Sansom, M.S.P. 1989. Ion channel gating mechanisms: model identification and parameter estimation from single channel recordings. Proc. Roy. Soc. Lond. B236:383-416
5. Blatz, A.L., Magleby, K.L. 1986. Correcting single channel data for missed events. Biophys. J. 49:967-980
6. Blatz, A.L., Magleby, K.L. 1989. Adjacent interval analysis distinguishes among gating mechanisms for the fast chloride channel from rat skeletal muscle. J. Physiol. 410:561-585
7. Caceci, M.S., W.P. Cacheris 1984. Fitting curves to data - the simplex algorithm is the answer. BYTE 5/84:340-362
8. Colquhoun, D., Hawkes, A.G. 1977. Relaxation and fluctuations of membrane currents that flow through drug-operated channels. Proc. R. Soc. Lond. 8199:231-262
9. Colquhoun, D., Hawkes, A.G. 1981. On the stochastic properties of single ion-channels. Proc. R. Soc. Lond. B211:205-235
10. Colquhoun, D., Hawkes, A.G. 1982. On the stochastic properties of bursts of single ion-channel openings and of clusters of bursts. Phil. Trans. R. Soc. Lond. B300:1-59
11. Colquhoun, D., Hawkes, A.G. 1987. A note on correlations in single ion channel records. Proc. R. Soc. Lond. B230:15-52
12. Colquhoun, D., Hawkes, A.G. 1990. Stochastic properties of ion channel openings and bursts in a membrane patch that contains two channels: evidence concerning the number of channels present when a record containing only single openings is observed. Proc. R. Soc. Lond. B240:453-477
13. Colquhoun, D., Hawkes, A.G. 1995. The principles of the stochastic interpretation of ion-channel mechanism. In: Single Channel Recording. B. Sakmann and E. Neher, editors, pp. 397-482. Plenum Press, NY
14. Colquhoun, D., Hawkes, A.G., Srodzinski, K. 1996. Joint distributions of apparent open times and shut times of single ion channels and the maximum likelihood fitting of mechanisms. Phil. Trans. R. Soc. Lond. A354:2555-1290
15. Colquhoun, D., Sigworth, F.J. 1983. Fitting and statistical analysis of single channel records, In: Single Channel Recording. B. Sakmann and E. Neher, editors, pp. 191-263. Plenum Press, NY
16. Crouzy, S.C., Sigworth, F.J. 1990. Yet another approach to the dwell-time omission problem of single-channel analysis. Biophys. J. 58:731-743
17. + channel. Biophys. J. 67:120-129
18. Draber, S., Schultze, R. 1994. Correction for missed events based on a realistic model of a detector. Biophys. J. 66:191-202
19. + channels in the tonoplast of Chara corallina. Biophys. J. 65:1553-1559
20. FitzHugh, R. 1983. Statistical properties of the asymmetric random telegraph signal with application to single channel analysis. Mathematical Bioscience 64:75-89
21. Fredkin, D.R., Montal, M., Rice J.A. 1985. Identification of aggregated Markovian models: application to the nicotinic acetylcholine receptor. In: Proceedings of the Berkely Conference in Honor of Jerzy Neyman and Jack Kiefer. L.M. Le Cam and R.A. Olshen, editors, pp. 269-289 Wadsworth, Monterey
22. Fredkin, D.R., Rice, J.A., 1992. Maximum likelihood estimation and identification directly from single-channel recordings. Proc. R. Soc. Lond. B249:125-132
23. Hansen, U.P., Albertsen, A., Moldaenke, C., Draber, S., Schultze, R. 1995. Detecting events in signals from sensors: the Hinkley-detector is the answer. Sensors ami Materials 7:289-300
24. Hansen, U.P., Keunecke, M., Blunck, R. 1997. Gating and permeation models of plant channels. J. Exp. Bot. 48:365-382
25. Hawkes, A.G., Jalali, A., Colquhoun, D. 1990. The distribution of the apparent open times and shut times in a single channel record when brief events cannot be detected. Phil. Trans. R. Soc. Lond. A332:511-538
26. Hawkes, A.G., Jalali, A., Colquhoun, D. 1992. Asymptotic distributions of apparent open times and shut times in a single channel record allowing for the omission of brief events. Phil. Trans. R. Soc. Lond. A337:383-404
27. Horn, R.A., Lange, K. 1983. Estimating kinetic constants from single channel data. Biophys. J. 43:207-223
28. Iwasa, K., Ehrenstein, G., Moran, N., Jia, M. 1986. Evidence for interactions between batrachtoxin-modified channels hybrid neuroblastoma cells. Biophys. J. 50:531-537
29. Jackson, M.B. 1997. Inversion of Markov processes to determine rate constants from single-channel data. Biophys. J. 73:1382-1394
30. Kienker, P. 1989. Equivalence of aggregated Markov models of ion-channel gating. Proc. Roy. Soc. Lond. Biol. 236:269-309
31. Kijima, S., Kijima, H. 1987a. Statistical analysis of channel current from a membrane patch: I. Some stochastic properties of ion channels or molecular systems in equilibrium. J. Theor. Biol. 128:423-434
32. Kijima, S., Kijima, H. 1987b. Statistical analysis of channel current from a membrane patch: II. A stochastic theory of a multi-channel system in the steady-state. J. Theor. Biol. 128:435-455
33. + channels by interaction with a family of membrane-associated guanylate kinase. Nature 378:85-88
34. Kiss, T., Nagy, K. 1985. Interaction between sodium channels in mouse neuroblastoma cells. Eur. Biophys. J. 12:13-18
35. Klein, S., Timmer, J., Honerkamp, J. 1997. Analysis of multichannel patch-clamp recordings by Hidden Markov Models. Biometrics 53:870-884
36. + channel in the tonoplast of Chara: selectivity and inhibition. J. Membrane Biol. 132:253-265
37. Korn, S.J., Horn, R. 1988. Statistical discrimination of fractal and Markov models of single-channel gating. Biophys. J. 54:871-877
38. Liu, Y., Dilger, J.P. 1993. Application of the one- and two-dimensional Ising models to studies of cooperatively between ion channels. Biophys. J. 64:26-35
39. Magleby, K.L., Weiss, D.S. 1990a. Estimating kinetic parameters for single channels with simulation. A general method that resolves the missed event problem and accounts for noise. Biophys. J. 58:1411-1426
40. Magleby, K.L., Weiss, D.S. 1990b. Identifying kinetic gating mechanisms for ion channels by using two-dimensional distributions of simulated dwell times. Proc. R. Soc. Lond. B241:220-228
41. Magleby, K.L., Song, L. 1992. Dependency plots suggest the kinetic structure of ion channels. Proc. R. Soc. Lond. B249:133-142
42. Manivannan, K., Ramanan, S.V., Mathias, R.T., Brink, P.R. 1992. Multichannel recordings from membranes which contain gap junctions. Biophys. J. 61:216-227
43. McGeoch, M.W., McGeoch, J.E.M. 1994. Power spectra and cooperativity of a calcium-regulated cation channel. Biophys. J. 66:161-168
44. McManus, O.B., Magleby, K.L. 1989. Kinetic time constants independent of previous single channel activity suggest Markov gating for a large conductance Ca-activated K channel. J. Gen. Physiol. 94:1037-1070
45. Neher, K., Stevens, C.F. 1977. Conductance fluctuations and ionic-pores in membranes. Ann. Rev. Biophysics Bioengineering 6:345-381
46. Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T. 1987. Numerical Recipes. The Art of Scientific Computing. Cambridge Univerity Press, Cambridge, New York, New Rochelle, Melbourne, Sidney
47. Qin, P., Auerbach, A., Sachs, F. 1996. Estimating single channel kinetic parameters from idealized patch clamp data containing missed events. Biophys. J. 70:264-280
48. Riessner, T. 1994. Statistische Analyse von schnellen Schaltereignissen in Patch-Clamp Daten mit Hilfe von erweiterten Beta-Verteilungen, Diploma Thesis, Kiel.
49. Rothberg, B.S., Bello, R.A., Magleby, K.L. 1997. Two-dimensional components and hidden dependencies provide insight into ion channel gating mechanisms. Biophys. J. 72:2524-2544
50. Roux, B., Sauvé, R. 1985. A general solution to the time interval omission problem applied to single channel analysis. Biophys. J. 48:149-158
51. Schultze, R., Draber, S. 1993. A nonlinear filter algorithm for detection of jumps in patch-clamp data. J. Membrane Biol. 132:41-52
52. Sine, S.M., Claudio, T., Sigworth, F.J. 1990. Activation of Torpedo acethylcholine receptors expressed in mouse fibroplasts: single channel current kinetics reveal distinct agonist binding affinities. J. Gen. Physiol. 96:395-437
53. + channels using two-dimensional dwell-time distributions. Biophys. J. 67:91-104
54. Weiss, D.S., Magleby, K.L. 1989. Gating scheme for single GABA-activated Cl channels determined from stability plots, dwell-time distributions, and adjacent-interval durations. J. Neuroscience 9:1314-1324
55. + channels of bovine chromaffin cells. J. Gen. Physiol. 84:157-186
56. Yeo, G.F., Milne, R.K., Edeson, R.O., Madsen, B.W. 1988. Statistical inference from single channel records: two state Markov model with limited time resolution. Proc. R. Soc. Lond. B 235:63-94
57. Yeramian, E., Trautman, A., Claverie, P. 1986. Acetylcholine receptors are not functionally independent. Biophys. J. 50:253-263